1737992203215

Why Cloud Certifications Matter for Your Career in 2025

by cloud automationCloud ExpertCloud Migration

Why Cloud Certifications Will Supercharge Your Career in 2025

The rise of cloud computing is reshaping many industries. As businesses increasingly migrate to the cloud, the need for skilled professionals has never been higher. By 2025, the cloud market will reach over $800 billion. Major players like AWS, Azure, and Google Cloud dominate the scene, with AWS holding nearly 32% of the market share.

The Skills Gap in Cloud Computing

Despite the booming demand, there’s a significant skills shortage in cloud computing. A report from IBM states that nearly 120 million workers will need reskilling in the coming years. This gap highlights an urgent need for qualified professionals to manage cloud environments, making cloud certifications essential for job seekers.

Why Certifications Matter: Validation and Competitive Advantage

Cloud certifications serve as proof that you possess the necessary skills and knowledge. They provide a competitive edge in a crowded job market, signaling to employers that you are committed to your professional development.

Top Cloud Certifications to Pursue in 2025

AWS Certifications: Architecting, Operations, and Security

AWS offers a range of certifications, including:

  • AWS Certified Solutions Architect: Ideal for those involved in designing distributed systems.
  • AWS Certified Developer: Suited for developers who build applications on AWS.
  • AWS Certified Security Specialty: Focused on security aspects.

Companies like Netflix and Airbnb actively look for AWS-certified professionals for various roles.

Microsoft Azure Certifications: Fundamentals, Administration, and Development

Microsoft Azure also presents many certification paths:

  • Microsoft Certified: Azure Fundamentals: Great for beginners.
  • Microsoft Certified: Azure Administrator Associate: For those managing Azure solutions.
  • Microsoft Certified: Azure Developer Associate: Tailored for developers.

Organizations such as Adobe and LinkedIn frequently hire candidates with Azure certifications.

Google Cloud Certifications: Associate, Professional, and Expert Levels

Google Cloud continues to expand its certification offerings:

  • Google Cloud Associate Cloud Engineer: A starting point for cloud roles.
  • Google Cloud Professional Cloud Architect: Advanced certification for cloud architects.
  • Google Cloud Professional Data Engineer: For those focused on data engineering.

Companies like Spotify and PayPal prioritize Google Cloud certifications in their hiring processes.

How Cloud Certifications Boost Your Earning Potential

Salary Data: Comparing Certified vs. Non-Certified Professionals

Professionals with cloud certifications can earn significantly more. According to Glassdoor:

  • AWS Certified professionals average around $120,000 per year.
  • Azure Certified individuals earn about $115,000 on average.
  • Google Cloud Certified professionals can make around $130,000 annually.

Career Advancement Opportunities: Climbing the Corporate Ladder

Certifications not only increase earning potential but also open doors. Many employers favor certified candidates for promotions. For example, a cloud architect role may become accessible after obtaining relevant certifications.

Negotiating Higher Salaries: Leverage Certification as a Bargaining Chip

When discussing salary, use your certifications as a negotiation tool. Employers often value certifications, which can give you leverage when requesting a raise or better compensation.

Choosing the Right Certification Based on Your Career Goals

Aligning Certifications with Your Career Aspirations

To choose the right certification, consider where you want to go. If you aim to be a cloud architect, an AWS Solutions Architect certification may be beneficial.

Assessing Your Current Skillset and Identifying Knowledge Gaps

Take an honest inventory of your skills. Identify areas you need to improve, whether it’s cloud security or deployment.

Creating a Personalized Certification Roadmap

Map out a structured learning plan. Set timelines for studying and taking exams. This organization can keep you on track.

Preparing for and Passing Your Cloud Certification Exam

Effective Study Strategies: Maximizing Your Learning Efficiency

Adopt practical study techniques. Create a study schedule, use flashcards, and join study groups to enhance learning.

Utilizing Practice Exams and Resources: Sharpening Your Skills

Invest in practice exams and online resources. Platforms like A Cloud Guru and Udemy offer valuable preparation materials.

Managing Exam Anxiety and Stress: Maintaining a Positive Mindset

Before the exam, practice relaxation techniques such as deep breathing. Stay positive and visualize your success.

Beyond Certification: Building a Successful Cloud Career

Networking and Community Engagement: Connecting with Industry Professionals

Networking plays a vital role in career growth. Attend cloud conferences and engage on professional platforms like LinkedIn.

Continuous Learning and Skill Development: Staying Ahead of the Curve

The cloud landscape is always changing. Continue learning new technologies and practices to stay relevant.

Building a Strong Portfolio and Demonstrating Your Expertise

Showcase your skills through personal projects. Build a portfolio that demonstrates your cloud expertise.

Conclusion: Investing in Your Cloud Future

Cloud certifications provide immense value. They validate your skills, enhance your earning potential, and open new career paths.

Start your cloud certification journey today. Take the first step toward advancing your career and securing a place in the thriving cloud marketplace.

cloud foundry

What is Cloud Foundry? A Beginners Guide

by cloud automationCloud Migration

If you’re new to the world of cloud computing, you might be wondering what Cloud Foundry is.

In this blog post, we’ll cover what is Cloud Foundry in detail. This article is for readers who know some basic information about it but want to learn more. If you are new to this world of software development stacks, you might find reading through this blog post helpful as well.

Lets get started!

 

  1. What is Cloud Foundry?
  2. What Are The Services In Cloud Foundry?
  3. What Is Cloud Foundry Used For
  4. What Is Pivotal Cloud Foundry (PCF) Used For?
  5. Components Of Pivotal Cloud Foundry
  6. What Are The Benefits Of Pivotal Cloud Foundry?

‍

                                   CLOUD FOUNDRY

What Is Cloud Foundry

Cloud Foundry is an operating system for app development that enables organizations to build, test and run apps on a server. It’s an alternative to traditional software development stack such as Linux, Microsoft Azure or Amazon Web Services. It’s based on the concepts of Software-as-a-Service (SaaS) and PaaS (Platform-as-a-Service).

 

In a nutshell, Cloud Foundry is an open source platform that enables developers to build, deploy, and manage their applications in the cloud.

 

While there are many different cloud platforms to choose from, Cloud Foundry has become a popular choice for many organizations because it makes it easy to get started and provides a wide range of features. In addition, because Cloud Foundry is open source, it’s easy to extend and customize to meet your specific needs.

 

What Are The Services In Cloud Foundry

Services in Cloud Foundry are essentially applications that can be used by other applications, or which provide some kind of utility function. For example, there might be a service that provides a database, or one that provides logging facilities.

AWS Training and Certification
Azure Training and Certification
Google Cloud Certification
Cloud Expert Internship Program

 

 

What Is Cloud Foundry Used For

Cloud Foundry is an open source platform as a service (PaaS) that provides developers with a choice of clouds, application services, and development tools.

What is Cloud Foundry Used For?

Cloud Foundry is used for developing and deploying cloud-native applications. Cloud-native applications are designed to take advantage of the benefits of the cloud computing model, such as scalability, availability, and agility.

With Cloud Foundry, developers can focus on writing code, rather than worrying about the underlying infrastructure. This makes it ideal for rapid application development and deploying new features and updates quickly.

 

With Cloud Foundry, developers can push their code changes live to production in minutes.

 

In addition, Cloud Foundry provides a variety of services that can be used by applications, such as databases, message queues, and monitoring tools. This makes it easy to add new features to applications without having to provision and manage additional infrastructure.

 

START YOUR CLOUD JOURNEY WITH CLOUD CHALKTALK.   90% HANDS ON LEARNING WITH 100% PASS OUT RATIO

 

What Is Pivotal Cloud Foundry (PCF) Used For?

Pivotal Cloud Foundry (PCF) is an open source cloud platform used for developing, deploying, and running cloud-native applications. It is a managed platform as a service (PaaS) that provides developers with a self-service platform to create, deploy, and manage their applications. PCF is based on Cloud Foundry, an open source project started by VMware.

PCF runs on any infrastructure including public clouds such as AWS, Azure, and Google Cloud Platform, as well as private clouds such as VMWare vSphere, OpenStack, and bare metal servers. PCF is a good choice for organizations that want the flexibility to run their applications on any infrastructure.

PCF provides developers with built-in services for common tasks such as application monitoring, logging, and scaling. These services can be used with any language or framework. Developers can also choose to use third-party services from the Cloud Foundry Marketplace.

 

Components Of Pivotal Cloud Foundry

Pivotal Cloud Foundry (PCF) is a cloud-native platform that helps developers build and deploy modern applications with ease. It is an open source project and is the most widely adopted cloud platform today. PCF runs on any infrastructure, public or private, and provides a consistent development experience across all environments.

There are three main components of PCF:

1.the Cloud Controller,

2. theDiego runtime, and

3. the Buildpack lifecycle management system.

 

1. The Cloud Controller is responsible for managing the resources in your deployment, such as applications, services, organizations, spaces, and user roles. It exposes a REST API that can be used by developers to provision and manage their applications.

2. The Diego runtime is responsible for running applications on PCF. It is a highly scalable and reliable system that uses containerization to provide isolation and density for applications. Diego also provides robust health management and self-healing capabilities.

3. The Buildpack lifecycle management system is responsible for packaging applications for deployment on PCF. It supports multiple languages and frameworks, making it easy to deploy applications written in any language or framework on PCF.

 

What Are The Benefits Of Pivotal Cloud Foundry?

Pivotal Cloud Foundry is an open source cloud computing platform that makes it easy to deploy and manage applications in the cloud. Cloud Foundry is a great choice for developers who want to get their applications up and running quickly, without having to worry about the underlying infrastructure.

Cloud Foundry provides a number of benefits for developers, including:

  1. Easy to Use: Cloud Foundry is designed to be easy to use, with a simple user interface and command line tools that make it easy to deploy and manage applications.
  2. Flexible: Cloud Foundry supports a wide range of programming languages, frameworks, and databases, making it easy to build and deploy applications in any environment.
  3. Scalable: Cloud Foundry makes it easy to scale applications up or down, depending on demand. This makes it ideal for both small startups and large enterprises.
  4. Open Source: Cloud Foundry is open source software, which means it can be used by anyone at no cost. Additionally, the open source community provides a wealth of support and resources for users.

 

                                                             NOW LEARN CLOUD IN YOUR CITY  

 

 

 

Related Posts:

 

 

If you are interested to learn more about our programs and cloud certifications, please feel free to reach out to us at your convenience.

 

Cloud Chalktalk

Leading cloud training provider in Houston TX

https://cloud-chalktalk.com

832-666-7637  ||  832-666-7619

kubernetes vs docker

Kubernetes vs Docker: Understanding Containers in 2022

by Cloud ExpertCloud Migration

Today, most of the enterprises are moving towards a DevOps model in order to accelerate their digital transformation. The adoption of DevOps culture has helped organizations to streamline their software development process and make it more efficient. This blog post will explore how container technologies such as Docker and Kubernetes are changing IT landscape and how these two ecosystems interact with each other.

Lets dig deeper…

 

  1. What is Kubernetes?
  2. Why Is Docker?
  3. Understanding Kubernetes vs Docker
  4. Why should you use both Docker and Kubernetes
  5. Understanding Container Technologies in Detail
  6. Difference between Deployment and Orchestration Tools
  7. Advantages of Using DevOps Tools in IT Transformation
  8. Integration of Docker and Kubernetes
  9. Key Takeaways

‍

                           Kubernetes Vs Docker:

 

What is Kubernetes?

Kubernetes is an open-source system for managing containers across multiple hosts. It ranks among the top container management systems that are used by enterprises to manage and automate their container deployments.

The Kubernetes platform enables DevOps teams to automate deployments and manage their application lifecycle. To create an application, you need to create a template which can be further customized. There are different types of templating services such as AWS ECS, Azure Load Balancer, Google Cloud Engine and so on.

Once your application is created, you can create a deployment plan consisting of one or more replicas. Each replica can be assigned to one or many different environments. The Kubernetes platform provides numerous resources such as load balancing, reliability, security, and scalability features.

 

What is Docker?

Docker is an open-source platform for automating container deployments. It automates the entire container lifecycle of an application and provides automated orchestration, management and scheduling of all Docker hosts.

With the help of Docker, you can easily create, package, and ship your applications. Docker enables developers to focus on the code and not on the infrastructure, enabling innovation and rapid time to market. Docker is one of the most preferred container deployment tools for organizations. It simplifies software delivery by automating the process of creating and managing virtual machines and containers.

Docker is fully integrated with various DevOps tools, including Kubernetes and AWS. With Docker, you can easily create robust, reliable and repeatable workflows. It also helps in reducing operational costs by eliminating the need to manage several virtual machines. Docker also supports various application types such as web applications, microservices, and API services.

 

Understanding Kubernetes Vs Docker

Both Docker and Kubernetes are open-source software platforms for automating deployments of applications across the cloud and on-premises environments. However, there are some key differences between Docker and Kubernetes.

Docker allows one to run any application in a container. You can think of a container as an application wrapped in a box. Kubernetes on the other hand provides an orchestration layer that helps to manage a distributed system. You can think of it as a set of tools that help to automate the deployment of applications on a cluster.

 

Why You Should Use Both Docker and Kubernetes?

The adoption of DevOps culture has helped organizations to streamline their software development process and make it more efficient. DevOps play a crucial role in modernizing IT organizations.

With the advancement of DevOps technologies and tools, it has become easier and more effective for organizations to drive digital transformation across their organizations. DevOps is not a single technology but it requires the integration of various software tools.

 

Organizations use a combination of different DevOps tools such as Docker, Kubernetes, application delivery, continuous delivery, continuous testing, and so on to accelerate their digital transformation.

 

Understanding Container Technologies in Detail

Nowadays, cloud-native applications are gaining popularity, as these applications are designed to run on top of the new-age containers. The container has become a core building block of cloud-native applications.

It is designed to automatically follow application deployments and scale up or down as per the requirement. Containers can be deployed on any Linux distribution or Windows operating system. You can run any type of application in containers by using the docker files.

Containers provide the flexibility to move the entire application stack along with its dependencies along with the application. It also reduces the overall development effort as well as effort to maintain the application as compared to traditional application development.

 

Start Your Cloud Journey With CLOUD CHALKTALK.   90% Hands On Learning With 100% Pass Out Ratio

 

Difference Between Deployment And Orchestration Tools

With the adoption of container technologies, it has become very critical to manage the entire container life cycle. Traditionally, you would manage the application deployment with the help of orchestration tools such as DevOps tool.

However, with the adoption of container technologies, it has created a need for the integrated management of container lifecycle. It enables DevOps teams to automate deployments and manage their application lifecycle.

Deployment tools are designed to manage the process of deploying an application as well as scaling up or down the application as per the requirement. However, it does not provide any type of management for container lifecycle.

 

Advantages of Using DevOps Tools in IT Transformation

New technology adoption can have a negative impact on your business operations. Therefore, it is important to plan your digital transformation in a right way. With the help of DevOps tools, it has become easier to manage the entire application lifecycle.

It enables organizations to meet the business goals by automating the entire process of application delivery. With the help of these tools, it has become easier to track the progress and make informed decisions.

The adoption of these tools has resulted in the speed of development, improved quality of products, and faster innovation.

 

Integration of Docker and Kubernetes

The adoption of container technologies has resulted in the development of Docker and Kubernetes ecosystems. These ecosystems have become popular among development teams as well as operations teams.

The Docker and Kubernetes ecosystems provide an opportunity to integrate with each other. Docker provides a platform for deployment of applications and Kubernetes provides an orchestrator for managing the entire clusters.

It has become possible to manage a cluster with the help of Docker via Kubernetes. With the help of Docker and Kubernetes, it is possible to reduce the efforts while creating new applications. The developers can use Docker file to put the instructions to build their application in a single file. It also enables developers to create custom images.

 

Key Takeaways

Docker is an open-source platform for automating container deployments. It automates the entire container lifecycle of an application and provides automated orchestration, management and scheduling of all Docker hosts.

With the help of Docker, you can easily create, package, and ship your applications. It enables DevOps teams to automate deployments and manage their application lifecycle. Kubernetes is an open-source system for managing containers across multiple hosts.

It ranks among the top container management systems that are used by enterprises to manage and automate their container deployments. The Kubernetes platform enables DevOps teams to automate deployments and manage their application lifecycle.

 

 

            Now Learn Cloud In Your CITY  

 

 

 

Related Posts:

 

 

If you are interested to learn more about our programs and cloud certifications, please feel free to reach out to us at your convenience.

 

Cloud Chalktalk

Leading cloud training provider in Houston TX

https://cloud-chalktalk.com

832-666-7637  ||  832-666-7619

scalability

What Is Scalability And How Cloud Helps Solve This Problem?

by Cloud ExpertCloud Migration

 

‍

Scalability is the ability of a system, application or organization to function well under increased demands or workload. In simple terms, scaling means increasing the number of instances, users, documents or other resources that work together as a single unit within an organization or system. Everyone wants their applications to be scalable but what does it really mean and how can you ensure your software always scales? Let’s explore this in detail by looking at what scalability really is and how cloud platforms help solve this problem.

Lets dig deeper…

 

  1. What is Scalability?
  2. Why Is Scalability Important?
  3. Cloud Technology To Solve The Problem Of Scalability
  4. Benefits Of Cloud Platforms For Scaling Up Your Applications
  5. Factors That Effect Scalability
  6. Limitations Of Cloud Platform For Scaling
  7. Best Practices For Building Scalable Apps And Websites
  8. Key Takeaways

‍

1. What is Scalability?

Scalability is the ability of a system, application or organization to function well under increased demands or workload. Because systems are built to handle large amounts of work, they will eventually become overwhelmed.

What is Scalability? In simple terms, scaling means increasing the number of instances, users, documents or other resources that work together as a single unit within an organization or system.

 

2. Why Is Scalability Important?

Key to the success of any business is the ability to scale. Small businesses with a single employee have the potential to scale up to a million dollars in revenue within a couple of years. Large enterprises with hundreds or thousands of employees have the potential to scale up to hundreds or even thousands of millions of dollars in revenue within a couple of decades.

Being able to scale your business requires the ability to handle large amounts of work. It’s difficult to scale a business that has a very low rate of growth. Scalability is important because it allows your business to grow at a rate that’s comfortable for the team and the organization.

Example of Scalability: When millions of users like you trying to buy the same item(lets say : a purse)  at the same fraction of time from different locations all over the world on Amazon.com website, the server has to be prompt and scalable to meet the demand of users with out comprising performance  and disruptions at the same fraction of time.

 

3. Cloud Technology To Solve The Problem Of Scalability

Cloud computing platforms are an ideal way to scale your application because they are completely decentralized. They are a distributed network of servers that do not reside on a single piece of hardware. Instead, they reside in the cloud.

These systems are managed by a third party. All you need to do is specify the type of workload you want to run, the amount of resources needed and the desired end-time. The third party manages the machines and you only pay for the resources that you use. Cloud providers offer a variety of services to help you build applications that are scalable.

You can run a single app with a single server on a cloud-based infrastructure. You can also run multiple apps on a single server with the cloud provider’s support for resource pooling. You can also have servers that are scaled up or down at any time.

 

START YOUR CLOUD JOURNEY WTH CLOUD CHALKTALK.   90% HANDS ON LEARNING WITH 100% PASS OUT RATIO

 

4. Benefits Of Cloud Platforms For Scaling Up Your Application

Cloud platforms have many benefits for scaling up your application.

These includes:

    Availability of resources – A cloud-based application can access a large pool of resources to handle load. This helps you avoid having to manage the hardware, software and capacity yourself.

    Cost effectiveness – When you use a cloud-based application, you only pay for the resources that you use. This is often more cost-effective than a dedicated hardware setup.

    Flexibility – Using a cloud-based system, you can quickly scale up and down resources if you have a sudden increase or decrease in demand.

    Compliance – Cloud providers have strict compliance laws around using the right types of resources for your application. This helps you avoid issues with your investors, auditors or other regulators.

 

5. Limitations Of Cloud Platform For Scaling

While cloud platforms do help solve the scalability problem, they do have some limitations. These include:

    Your Data is in the Cloud – If you store sensitive data in the cloud, there is a chance that it could be stolen or become compromised.

    Security – Since your data is in the cloud, you have less control over how it is stored and managed.

    Unpredictability – As with any technology, there is a chance that the cloud provider runs into some technical issues that cause problems for your app.

 

6. What Are The Factors That Effect Scalability?

There are a number of factors that affect the ability of your application to scale.

These include:

   Rate of Growth – The faster your business grows, the more important it is to scale.

   App Complexity – The more complex the app, the more important it is to scale.

   Rate of Change – The faster your application changes, the more important it is to scale.

   Rate of Users – The faster your users increase in number, the more important it is to scale.

   Rate of Change of Application – The faster your application changes, the more important it is to scale.

 

7. Best Practices For Building Scalable Apps And Websites

Here are some best practices for building scalable apps and websites:

   Use Microservices – Using microservices enables scaling your application across a large number of small services. This makes it easier to scale up and down resources when needed.

   Make Your Code Resilient – Writing your code so that it can handle a range of conditions makes it easier to scale.

   Use A Trigger-based Application Architecture – The trigger-based architecture makes it easier to scale your application when needed.

   Avoid Bottlenecks – Where possible, try to avoid bottlenecking your system with a single resource.

 

8. Key Takeaways

When it comes to scalability, cloud platforms are a great way to solve the problem. They are completely decentralized, cost-effective and flexible.

Your data is in the cloud, so it is more secure, but there is also a risk of unexpected issues.

The factors that affect scalability include the rate of growth, rate of change of application, rate of users, rate of change of complexity and bottlenecks. These are best practices for scalability.

 

 

            Now Learn Cloud In Your CITY  

 

 

 

Related Posts:

 

 

If you are interested to learn more about our programs and cloud certifications, please feel free to reach out to us at your convenience.

 

Cloud Chalktalk

Leading cloud training provider in Houston TX

https://cloud-chalktalk.com

832-666-7637  ||  832-666-7619

 

cloud automation

What is Cloud Automation? – A Beginners Guide to Jenkins, Chef, Ansible, Bamboo and Harness

by Cloud Migration

‍

In today’s world, organizations need to operate efficiently and flexibly in order to remain competitive. The digital transformation era demands an agile approach and an enterprise that is capable of addressing the new challenges that arise constantly.

Cloud technology has accelerated this process by enabling organizations to leverage the power of various systems, such as software and platforms, on a remote server rather than having them locally.

It provides the flexibility of connecting different systems while eliminating the complexity of managing them together. Since it’s a remote access from different computers with similar functions, it’s called as cloud automation

 

Lets dig deeper…

 

  1. What is Cloud Automation?
  2. What is Jenkins?
  3. What is Chef?
  4. What is Ansible?
  5. What is Bamboo?
  6. Differences Between Jenkins, Chef, Ansible, Harness and Bamboo
  7. Harness: The Final Word

‍

What is Cloud Automation?

Cloud Automation—a term used for automating tasks using software-as-a-service applications or virtual machines running on a remote computer rather than on a local machine. To put it simply, cloud automation refers to using software programs like Jenkins , Chef , Bamboo and so on for automating tasks based on defined rules or scripts.

 

What is Jenkins?

Jenkins is an automated build server. It enables organizations to build software faster, with less manual intervention, and with lower risk. It’s an open source cloud automation tool that has become the standard for continuous integration(CI) and continuous delivery.(CD)

Continuous integration is when developers integrate the various components of their application on a specific schedule.

Delivery is when software is made available to users, which is called as “production.”

Jenkins is a server-based solution so it has to be installed on a local computer. It has plug-in architecture which means that different applications can be integrated with Jenkins, thereby having the same workflow. These applications include source control systems. Source control systems are used to manage the versioning and deployment of software that’s under development.

 

Start Your Cloud Journey With CLOUD CHALKTALK.   90% Hands on Learning with 100% Pass Out Ratio

 

What is Chef?

Chef is an cloud automation framework used to configure and manage infrastructure components, such as servers, networks, and virtual machines. At its core, it’s a systems administration tool for managing software components and things.

This framework can be used with various tools and technologies, leading to a highly customizable and scalable approach to automation. It’s an open source automation tool that’s used to automate tasks on IT systems, which can include virtual machines, network devices, and cloud resources.

Chef runs on a centralized server, called a chef-client, which communicates with various nodes, called chef-manage nodes, over a network. The nodes manage the virtual machines, storage, and networks. Chef is an open-source software and has a client-server architecture. It uses a RESTful API for communication between the chef-client and the chef-manage nodes.

 

What is Ansible?

Ansible is a tool that helps automate repetitive tasks and make them easier to manage. Ansible is a powerful open-source automation platform that makes managing infrastructure and applications much simpler. Ansible was created by Red Hat in 2010, and since then, it has become one of the most popular tools in IT.

Ansible can be used to provision the underlying infrastructure of your environment, virtualized hosts and hypervisors, network devices, and bare metal servers. It can also install services, add compute hosts, and provision resources, services, and applications inside of your cloud.

Cloud Automation enables IT admins and Cloud admins to automate manual processes and speed up the delivery of infrastructure resources on a self-service basis, according to user or org demand.

What is Bamboo?

Bamboo is an cloud automation platform used to automate the entire software-development lifecycle, from ideas to implementation, and from testing to deployment. It’s built on top of an automation engine that can manage and automate tasks across an entire organization, from development to operations.

Bamboo can be used with Jenkins in the same way that Jenkins can be used with other software tools for automated testing. Bamboo can also be used independently, managing projects, such as creating a project plan, assigning tasks to team members, and generating reports, such as a Gantt chart.

Bamboo is an open source software that can be used independently of Jenkins or with Jenkins. Bamboo can be used as a standalone application or integrated with other tools, like Jenkins.

 

Differences Between Jenkins, Chef, Harness and Bamboo

Jenkins – A server-based solution that can run on a local computer. It has plug-in architecture, where different applications can be integrated with Jenkins, thereby having the same workflow. These applications include source control systems.

Chef – An open source cloud automation tool that can be used to automate tasks on IT systems, including virtual machines, network devices, and cloud resources.

Harness – An orchestration engine for distributed systems. It provides an abstraction layer that simplifies the flow of control for programs running across various distributed systems, such as application chains, clouds, and virtual machines.

Bamboo – A cloud automation platform used to automate the entire software development lifecycle, from ideas to implementation, and from testing to deployment.

 

Harness: The Final Word

Harness is a visualization tool that integrates with cloud-native tools, such as Kubernetes and Prometheus, as well as infrastructure-management tools, such as Istio and Nomad. It’s an open source automation tool that enables organizations to visually create workflows and model the dependencies between different components.

Harness can be used with Jenkins, Graphite, and Prometheus, as well as other tools, like Bamboo and Service Mesh. What is the best way to automate the Dev and Ops process? The answer is a cloud-native tool.

However, you need a tool that can provide visual modeling and workflow modeling capabilities. What is the best way to choose a tool? You need to consider what you want to achieve and what you want to achieve with your tool.

 

 

 

            Now Learn Cloud In Your CITY  

 

 

 

Related Posts:

 

 

If you are interested to learn more about our programs and cloud certifications, please feel free to reach out to us at your convenience.

 

Cloud Chalktalk

Leading cloud training provider in Houston TX

https://cloud-chalktalk.com

832-666-7637  ||  832-666-7619

 

snowmobile

AWS Snowmobile: Physically Moving Exabytes of Data to Cloud on Trucks!

by Amazon Web ServiceCloud Migration

You probably have the same question that a lot of other people have: What is a snowmobile, and why would Amazon launch an initiative to build them?  The answer is pretty simple.

A Snowmobile is essentially a mobile data center with wheels. These are giant refrigerated semi-trucks that contain racks of servers and networking equipment.

They’re powered by diesel generators in case of an outage, and they can work in remote locations without being connected to the internet.

The idea behind these Snowmobiles is that they’ll make it cheaper for AWS to deploy new data centers in remote locations rather than operating them from centralized locations.

It sounds like a great plan, but what happens if you take the concept of the Snowmobile and put it into practice?

Let’s look at AWS’s implementation of their own mobile data centers.

Lets dig deeper…

 

  1. What is an AWS Snowmobile?
  2. How does AWS Snowmobile Works?
  3. Who should use Snowmobile?
  4. Site requirements of Snowmobile
  5. Specifications of Snowmobile
  6. How much data can be transferred using Snowmobile?
  7. How is Snowmobile Powered?
  8. AWS Snowmobile Pricing
  9. Snowmobile vs Snowball
  10. Conclusion

What is a AWS Snowmobile?

AWS Snowmobile is an enormous truck-sized mobile data center that’s used to quickly deploy new AWS Cloud services in locations where it would be too expensive to run them from a centralized data center.

AWS Snowmobile is first exabyte-scale data migration service that allows to move very large datasets from on-premises to AWS.

Each snowmobile has 100 PB storage capacity which can be dispatched at an org site and get connected to the site network for high speed data migration.

An exabyte of data can be migrated using 10 snowmobiles in parallel from a single location or multiple data centers.

A single Snowmobile is about the size of a semi-truck, and it contains about 80 racks of servers, networking equipment and cooling infrastructure.

The Snowmobile itself is powered by diesel generators in case of an outage, and it can work in remote locations without being connected to the internet.

 

The idea behind Snowmobile is that it will make it cheaper for AWS to deploy new data centers in remote locations, rather than running them from centralized locations.

 

How does AWS Snowmobile works?

Once you put an inquiry for snowmobile, AWS personnel will contact you for your specific storage requirements.

AWS personnel then drive to your site and connect the snowmobile to your local site network for high speed connection and migrate the data from your local storage servers to snowmobile.

Once data transfer is completed, the snowmobile will drive back to designated data center and the transferred data will be uploaded to your selected storage services, like S3 or Glacier.

Then they will validate with you for successful uploading of your data on data centers.

 

Who Should Use Snowmobile?

If you are migrating exabytes of data sets from on-prem local servers to AWS data centers you should use snowmobile.

Ex: 1. Migrating 100’s of peta bytes of data such as video library, genomic sequences, seismic  data, satellite images..

2. Shutting down  legacy data centers and moving all exabytes of data to AWS.

3. Migrating financial records to run Big Data Analytics on AWS

 

Before Snowmobile, migrating exabyptes of data would typically take years which was too slow for many customers, with snowmobile now it takes weeks or months.

 

Site requirements of AWS Snowmobile

Snowmobile needs physical access to your data center for network connectivity. it comes with removable connector rack with upto 2 kilometers.

Snowmobile can be parked in an covered area of your data center or uncovered area closest to your data center. keeping the removable connector rack length in mind.

The parking area needs to hold a standard 45-foot High Cube trailer with a minimum of 6’-0” (1.83m) of peripheral clearance.

Snowmobile can operate at ambient temperatures up to 85F (29.4C) before an auxiliary chiller unit is required.

AWS will provide the auxiliary chiller if needed based on the site survey findings.

 

A Snowmobile can use as much as 1.5 megawatts of electricity, which is enough to power about 1,000 homes.

 

Specifications of AWS Snowmobile

Each Snowmobile comes with up to 100PB of storage capacity housed in a 45-foot long High Cube shipping container.

The container measures 8 foot wide, 9.6 foot tall and has a curb weight of approximately 68,000 pounds.

The ruggedized shipping container is tamper-resistant, water-resistant, temperature controlled, and GPS-tracked.

 

How much data can be transferred using AWS snowmobile?

Each Snowmobile has 100 petabytes capacity and multiple Snowmobiles can be used in parallel to transfer exabytes of data.

 

Do you know: The Snowmobile can transfer data at a rate up to 1 Tb/s, which means you could fill a 100PB Snowmobile in less than 10 days.

 

How is snowmobile powered?

A fully powered Snowmobile requires ~350KW.

If your site is sufficient to provide this power, you are good. Otherwise, AWS can dispatch a separate generator set along with the Snowmobile if your site permits such generator use.

This generator set consumes same parking space as 45 foot container trailer.

 

AWS Snowmobile Pricing

Snowmobile jobs cost $0.005/GB/month based on the amount of provisioned Snowmobile storage capacity and the end to end duration of the job.

The job starts when a Snowmobile departs an AWS data center for delivery to the time when data ingestion into AWS is complete.

 

Snowmobile vs Snowball

You might be wondering if the Snowmobile is different from a snowball, which is AWS’s other option for deploying a data center somewhere remote.

The short answer is that a snowball is smaller than a Snowmobile,

With Snowmobile you migrate large datasets of 10PB or more in a single location. For datasets less than 10PB or distributed in multiple locations, you should use Snowball.

In addition, If you have a high speed backbone with hundreds of Gb/s of spare throughput, then you can use Snowmobile to migrate the large datasets all at once.

If you have limited bandwidth on your backbone, you should consider using multiple Snowballs to migrate the data incrementally.

 

Conclusion

AWS snowmobile is used by companies with exabytes /more volume datasets migrating to AWS.

Data transferred with Snowmobile is more secure, fast and cost effective.

 

 

 

Related Posts:

 

 

If you are interested to learn more about our programs and cloud certifications, please feel free to reach out to us at your convenience.

 

Cloud Chalktalk

Leading cloud training provider in Houston TX

https://cloud-chalktalk.com

832-666-7637  ||  832-666-7619

cloud culture

The Cloud Culture: The Shift to Cloud Transforms Organizations

by Cloud ExpertCloud Migration

From the factory floor to the accounting department, businesses are adopting cloud computing as a way to lower operational costs, increase productivity and speed time-to-market. In fact, according to Gartner, worldwide spending on public cloud services will grow 19% in 2019 to reach nearly $300 billion.

As organizations continue their digital transformation journeys and adopt cloud computing as standard practice, they’re also making changes to their organizational cultures. These cultural shifts are often an important step in the adoption process but can be overlooked. Let’s look at three key cultural shifts necessary for your organization’s successful adoption of cloud computing.

Lets learn more in detail

 

  1. Cloud Culture: Shift From Control to Collaboration
  2. Organizational Agility
  3. Cloud Literacy
  4. Automation and Shift to Continuous Delivery
  5. Cloud native Culture
  6. Change in Roles  & Responsibilites
  7. Conclusion

Cloud Culture

Shift From Control to Collaboration

At the heart of every successful relationship is trust – the belief that you can rely on the other person to do what they say they will do. When organizations successfully transition from a command-and-control culture to one driven by collaboration, they open the door to greater trust within the organization.

That’s because collaboration is a two-way street – it requires communication, transparency, listening, cooperation and a willingness to share information and ideas. This shift in organizational culture is important. When organizations are able to collaborate effectively, they are also better able to respond to changes in the business environment and customer needs.

 

Organizational Agility

Most organizations have had to deal with a sudden change in the marketplace. While many are able to react and respond, some are not and are caught by surprise. How the organization manages and reacts to the change makes all the difference in the world.

  • Organizations that adopt cloud computing, agile software development have a leg up on the competition because they are prepared to react and respond to changes in the marketplace.
  • They have incorporated the concept of organizational agility into their culture and are able to respond quickly and effectively to changes.
  • Organizations that have embraced this model have also adopted a culture of continuous improvement. They have a culture of collaboration and a willingness to take calculated risks.

 

Cloud Literacy

This is the broad understanding of cloud computing, including knowledge of the different types of cloud services like AWS, Azure, GCP,… and the way they can be applied to specific business needs.

When your organization has a cloud-literate culture, the people within it will recognize the benefits of cloud computing and how those benefits can help them solve business problems.

It is important to understand that cloud literacy is not specific to any one industry – it is a way of thinking. Organizations that have adopted cloud computing as part of their IT strategy have taken the first step in becoming cloud-literate.

Cloud-literate organizations know the difference between cloud computing and managed services. They also recognize that cloud computing is not a silver bullet, and that it is always necessary to take a look at the specific situation, select the appropriate cloud service and then make sure it integrates seamlessly with existing systems.

 

START YOUR CLOUD JOURNEY WITH CLOUD CHALKTALK.   90% HANDS ON LEARNING WITH 100% PASS OUT RATIO

 

Automation and the Shift to Continuous Delivery

Organizations that have adopted a culture of continuous delivery have automated their software delivery process and moved to continuous integration. These organizations are able to respond to business needs quickly because they’ve automated their software development and delivery process.

By implementing continuous delivery, CI/CD pipelines, Kubernetes, Dockers,.. they are able to move software through the entire software development lifecycle quickly, efficiently and with greater predictability.

By doing so, they have eliminated the wasteful and time-consuming practices of regression testing, manual exploratory testing and multiple rounds of performance testing. They have an automated software delivery process in place – one that is based on continuous integration.

 

Cloud-Native Culture

A cloud-native organization is one in which the people, processes and technology have been designed for cloud computing from the ground up.

  • Organizations that have successfully transitioned to cloud-native status have made cultural and organizational changes necessary for success with cloud computing.
  • They have embraced a culture based on collaboration and risk-taking, with a focus on continuous improvement.
  • They have incorporated automation into their software development and delivery process, and they have adopted continuous integration.

With these components in place and the necessary cultural changes made, organizations are then able to fully realize the benefits of cloud computing.

 

Change in Roles and Responsibilities

While many organizations have successfully transitioned to a cloud-native culture, they may still have some roles and responsibilities that don’t fit into the new culture. When your organization is ready to make the shift to cloud computing, it’s important to review all the roles and responsibilities within the organization and make sure they fit with the new culture.

It’s also important to be mindful of the need to have a mixture of skills and experience – including both old and new. To make the shift from a control-driven culture to one that is collaborative, agile and cloud-native, it is often necessary to make changes to roles and responsibilities.

 

Conclusion

The shift to cloud computing has resulted in cultural changes in many organizations. These changes are necessary for successful cloud adoption, and include a transition from a control-driven culture to one that is collaborative, agile and cloud-native. When organizations make these changes, they open the door to greater productivity, speed and reduced costs.

 

 

            Now Learn Cloud In Your CITY  

 

 

Related Posts:

 

 

If you are interested to learn more about our programs and cloud certifications, please feel free to reach out to us at your convenience.

 

Cloud Chalktalk

Leading cloud training provider in Houston TX

https://cloud-chalktalk.com

832-666-7637  ||  832-666-7619

cloud drawing-cloud architecture diagram

Cloud Architecture Diagrams- Complete Guide to Cloud Drawing

by Cloud ExpertCloud Migration

In this blog “Cloud Architecture Diagrams: A Complete Guide To Cloud Drawing” you will be able to learn:

AWS Training & Certification
  1. What is a Cloud Architecture Diagram
  2. Types of Cloud Diagrams
  3. Why should you create a cloud architecture diagram
  4. Tools to create Cloud Diagrams
  5. Things to consider while creating a Cloud AD
  6. A final piece of Advice: Just start drawing!

 

As the adoption of cloud computing continues to grow, so does the demand for cloud expertise. Cloud architecture diagrams are one of the essential tools that can help you understand how a cloud-based system is built and how it operates. With concise visual representations, these diagrams allow you to clearly see how different cloud services interact with each other.

To create a successful deployment of any cloud-based software or application, it’s essential to have a solid understanding of its architecture from the outset. Many different elements need to be taken into account when planning a new implementation of a cloud-based system. Every organization has its own set of unique requirements and challenges.

However, regardless of what type of organization you belong to, there are universal best practices and considerations for any company that’s looking to deploy an enterprise-level system using the power of the cloud.

 

What is a Cloud Architecture Diagram?

Cloud architecture diagrams are visual representations of a cloud-based system’s architecture and structure. The purpose of an architecture diagram is to provide an overview of the system’s components and interdependencies. It can also show which components are hosted in the cloud and which are not.

Diagrams are helpful in many ways – from providing a high-level overview of the architecture and visualizing complex environments, to documenting the decision-making process behind your design. They can be a helpful communication tool for architects and project stakeholders, as well as for the team members who are responsible for building the solution.

 

Types of Cloud Drawing (Diagrams)

There are many different types of cloud diagrams that you can use to represent different aspects of your cloud architecture. Some of the most common cloud diagrams that you’ll come across include:

1. Cloud Architecture Diagram:

This diagram shows the general architecture and design of the solution, along with the components and where they’re hosted. This is a high-level diagram that illustrates how your system is built and how the different components interact with each other.

2. Cloud Solution Architecture Diagram:

This diagram is more detailed than a high-level architecture diagram. It can often be used along with the architecture diagram as a companion diagram. It shows how each component is connected and which software is used in your solution.

3. Cloud Interconnect Diagram:

This diagram illustrates the location of the different components in your architecture and how they’re connected to each other. This diagram is useful because it shows how each component is connected and where your application is hosted.

4. Cloud Data Flow Diagram:

The data flow diagram (sometimes referred to as a data flow or data flow diagram) illustrates the processing that occurs in a system, such as where data is sourced, where it is processed and where it is sent.

 

Why Should You Create a Cloud Architecture Diagram?

Cloud diagrams are one of the first things that you should create when starting to design and plan your cloud architecture. Cloud diagrams are helpful at all stages of your project, from the initial stages where you’re designing and planning, to the final stages when your deployment is complete.

They can help you visualize and clarify the different components and aspects of your cloud architecture and design, and can also be used to document your decisions and rationale.

 

Tools To Create Cloud Diagrams

The best tools for creating cloud diagrams depend on your design and the complexity of your architecture. If you need to create a complex diagram that shows all the different components and dependencies in your system, you’ll probably need one of the more advanced diagramming tools that allow for more customization.

If you need to create an architecture diagram and nothing too advanced, you can use one of the simpler diagramming tools available. However, before you start creating your diagram, it’s important to consider what you’d like to get out of the diagram and how you want to visually represent your architecture.

Here are few free list of tools:

  1. Draw.io
  2. Cloudcraft
  3. Omnigraffle
  4. LucidChart
  5. ExcaliDraw

 

 

Things to Consider When Creating a Cloud AD?

There are many different factors that need to be taken into account when creating a cloud architecture diagram. Some of them are commonalities across all diagram types, while others depend on the type of diagram that you’re creating.

Here are a few things to keep in mind when building your cloud architecture diagram:

1. Your Audience: When you’re creating your diagram, it’s important to consider who your audience is and what level of information they need. Are you creating the diagram for other architects or for technical stakeholders? Or is it for a broader audience, such as the IT team or a customer? Depending on who you’re creating the diagram for, you’ll need to decide what level of detail you need to include.

2. The Context of Your Architecture: When you’re deciding on the components and elements that you want to include in your diagram, you should take into account the wider context of your architecture. Keep in mind that your diagram is only one part of your architecture. It should illustrate the important parts of your architecture and not necessarily every component.

3. Representation and Format: Before you start designing your diagram, it’s important to decide how you want to visually represent your architecture. It’s also helpful to decide on the format of your diagram. Is it a diagram that you’re going to use as a reference document, or is it a diagram that you’ll use to visually walk people through your architecture?

4. Cloud Deployment Considerations: When you’re creating your diagram, it’s important to take into account any specific considerations or challenges that you have with your specific cloud deployment. You need to make sure that your diagram accurately represents the challenges that you face with your deployment.

 

A Final Piece of Advice: Just Start Drawing!

Cloud architecture diagrams are an important part of any project, but the actual process of creating them can be a bit difficult. It’s important to keep in mind that architecture diagrams don’t have to be perfect from the outset.

Architecture diagrams serve a variety of functions, so it’s not always about getting everything right. Instead, it’s more about getting the right information across. And getting started is the hardest part. Once you start creating your diagram, it will help you clarify your design decisions and it will be much easier to build upon.

 

 

Related Posts:

 

 

If you are interested to learn more about our programs and cloud certifications, please feel free to reach out to us at your convenience.

 

Cloud Chalktalk

Leading cloud training provider in Houston TX

https://cloud-chalktalk.com

832-666-7637  ||  832-666-7619

bash if statement

Is Bash If Statement or Scripting?

by Cloud Migration

Overview of Bash If Statement (Scripting):

If you are a coder and were asked to answer the question “Is bash if statement or scripting?” you may be trying to determine whether Bash if statement or scripting is better.

This article will help individuals with that question by looking at how they differ and relate to a programming language. While both options have unique advantages, some major pitfalls come with each. The article will explore these differences so readers can decide which option is right for them.

The first thing that needs to be explored is the differences between a bash if statement and scripting. More specifically, what is one, and what makes it different?

A Bash if statement is a unique part of the bash programming language built into its syntax. It essentially gives users the ability to make decisions within their code based on the conditions provided.

 

What is Bash scripting?

Scripting is a term used to describe a programming language or application that one writes. Scripting can be broken down into several types, including known script languages and unknown script languages.

While it is similar, they are still different in many ways, such as their syntax and capabilities, which explains the differences between where you place your keywords when creating scripts versus if statements within bash code.

Common special characters used in Bash if statement and in Bash scripting

“,, “”Whitespace is indicated by this symbol. Single quotes maintain literal meaning, but double quotes allow for replacements.

An expansion is denoted by the dollar sign ($). (for use with variables, command substitution, arithmetic substitution, etc.)

\

A character with the ability to flee. Used to take a special character’s “specialness” away.

# Comments. After this character, nothing is interpreted.

= Assignment

[] or [[]] Test; determines whether something is true or false.

if | command | which is equivalent of if [condition] then command else ].

* or? Globs (also known as wildcards). A single character is a wildcard.

 

Bash Programming Introduction

Bash is a Unix shell available on Linux and Unix-based systems through the GNU project. It was created in 1990 and has been under development by many programmers. It can be used to write scripts to automate processes that have been done manually, such as backups or file transfers. As with any programming language, there are many different ways to write code for Bash.

The syntax of the Bash if statement

There are several ways to write a bash if statement. The most common way is rather simple, as can be seen below.

if [ condition ] then commands fi

The above code provides an example of how the syntax looks when it’s not broken down. Let’s break it down step-by-step to how the code would be read in English if written out. “If the statement after in brackets is true, run all of the following commands between if and fi.”

The basic rules of bash conditions

Rules are generally attached to conditions, as seen in the above code.

All rules must be placed after the condition. Throughout this article, we’ll see that rules can also be placed before the condition if needed.

Rules are always evaluated against zero or one time. This can be seen by removing | from the condition and running it again, then splitting it, so one rule is executed at a time (only once).

 

Is there an else if in Bash?

No, there isn’t. Many programming languages have an else if, but Bash doesn’t. This can make statements difficult to understand for those unfamiliar with the language.

 

How do you write if-else in a shell script?

if [ condition ] then commands else command fi

The above code provides an example of how the syntax looks when it’s not broken down. Let’s break it down step-by-step to how the code would be read in English if written out. “If the statement after in brackets is true, then run all of the following commands between if and else; otherwise, run all of the following commands between else and fi.”

Different condition syntaxes

There are different ways to specify a condition for an if statement in bash. For example, look at the following code:

if [ x -eq 3 ] then echo “x is 3” fi

if [ x == 3 ] then echo “x is 3” fi

if [ `expr $ x = 3 ` ] then echo “x is 3” fi

if [[ $ x == 3 ]] then echo “x is 3” fi

The above code provides examples of specifying a condition in each method. Bash does allow for different conditions to be specified, but without an else if, there is no way for Bash to understand additional conditions.

Here are the three syntaxes featured by bash.

  • Single Bracket Syntax
  • Double Bracket Syntax
  • Double-parenthesis Syntax

Single bracket Syntax: It is the oldest support syntax which supports three types of conditions. File based, String Based and Number based conditions.

Double Bracket Syntax: It features Shell globbing. It is an addition to Single bracket with the asterisk (*) expanding to literally anything and few other differences like word splitting is prevented, filenames cannot be expanded, allows regex pattern. If will not allow shell globbing, if your quote the right string.

Double parenthesis Syntax: it is adopted from Korn Shell. it is another syntax for arithmetic or rather call it as number -based condition.

 

What is the option in if condition?

There are several different ways to specify conditions within an if statement. They are listed below with examples of each.

-a -o -z

-a Evaluates to true if the string following is not empty and the string after -a is true. The “-” at the end forces a return of 0, no matter what input is given.

The following code provides an example of how this works: if [ -z ” $ users” ] then echo “There are no users in this system. ” fi

-o Evaluates to true if the string following is not empty and the string after -o is true. The “-” at the end forces a return of 0, no matter what input is given.

The following code provides an example of how this works: if [ -z ” $ users” ] then echo “There are no users in this system. ” fi

-z Evaluates to true if the string following is empty (i.e., zero-length).

 

Conclusion of Bash if statement

In conclusion, the if statement works well for the bash language, but it is not without its flaws. While there is no else to be found in Bash, there are other ways to work around this issue.

The syntax of this language can be difficult to read at first. This makes it difficult for those who are just starting out as well as experienced developers trying a new language for the first time.

 

 

 

Related Posts:

 

 

If you are interested to learn more about our programs and cloud certifications, please feel free to reach out to us at your convenience.

 

Cloud Chalktalk

Leading cloud training provider in Houston TX

https://cloud-chalktalk.com

832-666-7637  ||  832-666-7619

amazon cloudwatch

What is Amazon CloudWatch?

by Amazon Web ServiceCloud Migration

Amazon CloudWatch Defined:

AWS CloudWatch is a monitoring service that provides you with information about the performance of your AWS resources and applications running hybrid or on premise. It also enables you to create custom metrics and monitor them on an ongoing or scheduled basis.

 

The Amazon CloudWatch API allows third-party developers to integrate their applications with these monitoring features and provide their users with a richer experience, while providing them the benefits offered by AWS such as cost savings and scalability. CloudWatch is a fully managed service, meaning that it does not require you to deploy or manage your own infrastructure.

 

Amazon CloudWatch Categories:

CloudWatch has a large number of metrics available, which are grouped into categories such as uptime, traffic and memory. It also has custom performance metrics, which enable you to monitor your applications and the underlying infrastructure by using these new metrics instead of simple averages. You can create custom metrics, which give you finer granularity than other metrics. You can also monitor a whole application or only certain parts of it, such as a specific part of the page, a sub-section or even the entire application.

 

Amazon CloudWatch Availability:

Amazon CloudWatch is available in all AWS Regions, and it’s free for all AWS customers. It is available in several languages: English, Japanese, German and Russian.

The more users, applications and resources you have on AWS, the more important it is to monitor its performance. AWS CloudWatch helps you to do this by providing several monitoring capabilities:

 

CloudWatch Metrics:

Amazon CloudWatch also offers a large number of metrics from many AWS services. In addition to monitoring Amazon EC2 instances, CloudWatch can provide information about your Amazon Simple Storage Service (Amazon S3) buckets and files, for example. CloudWatch also monitors the performance of Amazon DynamoDB, Amazon Elastic MapReduce (Amazon EMR) and Amazon EC2 instances.

AWS CloudWatch provides data about most AWS services that offer monitoring capabilities. In addition to monitoring Amazon EC2, CloudWatch gathers data about:

Data gathered by CloudWatch is stored in an Amazon Simple Storage Service (Amazon S3). This means that the data is often distributed across multiple regions, the only limitation is storage capacity on all AWS Regions.

What does AWS CloudWatch do?  

CloudWatch is a monitoring service that gives you insight into the state of your AWS resources, including Amazon EC2 instances, Amazon Elastic Load Balancers, and Amazon EBS volumes.

CloudWatch provides metrics to help you understand resource utilization, availability, and performance trends.  CloudWatch collects data from each of your AWS resources through event notifications.  This data can be accessed from the CloudWatch console or programmatically via an API or command-line interface (CLI).

CloudWatch is composed of the following components: 

* CloudWatch Events:  The way you send a notification of an event.  For example, you can select an SNS topic and schedule notifications to be sent when threshold values are met, or a resource has failed.

* CloudWatch Logs:  Selecting log types and filtering logs by region, instance state, and customer can give you your desired level of detail.

                                                      CLOUDWATCH EVENTSaws cloudwatch events

What are three things you can do in CloudWatch?  

CloudWatch is AWS’ real-time monitoring service that provides a wealth of different metrics for your EC2 instances, the health and performance of your running instances, and any changes made to the configuration.  What are three things you can do in CloudWatch?

1.  Managed Metrics

One of the most important features of CloudWatch, and one of the features that I use all the time, is the ability to create real-time monitoring for your applications.  This also means you can give yourself alerts when a metric goes out of a particular range and take action.  You can set up alarms to get notified when something is wrong, or you need to restart your instance.

2.  Monitoring Code

You can also monitor your applications by writing a monitoring script triggered by CloudWatch events.  This means you can monitor your application for any metric or health check or have per-application settings.

3.  Real-Time Alerts

Other types of alerts are useful if your applications aren’t configured to send out notifications to some group.

What types of monitoring can Amazon CloudWatch be used for?  

Amazon CloudWatch is an AWS service that can monitor the resources that are running in your AWS account.  With just a few minutes of configuration, you’ll be able to get data on CPU Utilization, Network In and Out traffic, disk read and write rates, HTTP Requests Queue Size, Disk Queue length etc.

Looking at the graphs and tables on Amazon CloudWatch, you can see what your resource usage is like overall or at all of your resources.

 

But what if I have more than one resource in my account?  

The resource is your AWS account, and you have multiple resources such as EC2 instances, S3 buckets, SQS queues etc.  You can set up Amazon CloudWatch to monitor all of these resources simultaneously from a single dashboard.

However, we will focus on monitoring a single resource, i.e. your Amazon EC2 instance and will quickly look at the other types of resources that can be monitored later.

How do you set up monitoring for your EC2 instance(s)?

You can start monitoring your EC2 instance(s) from the EC2 console.  Once you are signed in to the console, you will see an option for CloudWatch. Click on it to get started.

To monitor your EC2 instance(s), you must attach one or more monitoring rules to your AWS account.  A rule is a pattern that can be used by CloudWatch to filter out data from your resources based on conditions you specify.

Is CloudWatch open source?

Amazon Web Services CloudWatch is a monitoring service for applications deployed on Amazon Web Services.

CloudWatch provides metrics and real-time analysis of your tasks, simplifying the process of running and optimizing your workloads.  The service can monitor many kinds of AWS resources, so it’s easy to integrate with other AWS services.  If you are not an Amazon customer, use one of the alternatives to CloudWatch that we’ve listed below.

CloudWatch can be used with any application running in the AWS Cloud.  The management interface is provided by the AWS Management Console, CLI or SDKs from Amazon and third-party vendors.

CloudWatch has different service levels that you can choose from:

– Free: The service is not reserved from you and is used by anyone who wants to send metrics to the Amazon CloudWatch.  You can also use the service free with third-party vendors if they do not receive any payment from Amazon.

– Reserved: The service is reserved with your AWS account, and you can only monitor metrics sent by your AWS accounts or yourself.  You can monitor metrics sent to a CloudWatch subscribe or target resource.

What is a CloudWatch agent?

CloudWatch agents are third-party applications that can be configured to monitor other systems and send metrics to CloudWatch.

For example, you could use a packet sniffer – a type of application that captures data packets sent over a network – on your computer as a CloudWatch agent to track your internet connection’s latency and average upload bandwidth.  The CloudWatch agent could then send the information to CloudWatch, which would make the data available for querying and graphing in CloudWatch.

For example, suppose your ISP has a customer support area that helps with billing and network issues.  You could use a packet sniffer or other software configured as a CloudWatch agent to track if there are delays when trying to reach them with support tickets.

 

Related Posts:

 

 

If you are interested to learn more about our programs and cloud certifications, please feel free to reach out to us at your convenience.

 

Cloud Chalktalk

Leading cloud training provider in Houston TX

https://cloud-chalktalk.com

832-666-7637  ||  832-666-7619