An Introductory Guide to DevOps LifeCycle

What is DevOps?

DevOps is not a programming language, it’s not a tool, it’s not a technology…….then what DevOps is?

It is a combination of Development and Operations or It’s a collective responsibility of the developers and operators.

In other words: It’s a concept to use in an application life cycle management so that the development and operation team can sync and get things to production very smoothy.

And, In a different way, I would say it’s a mindset, the way how you take the product to production so that millions of people can use it.

As an organization, It’s a process to build the product from an initial stage to a production level.

Before jumping to lifecycle, let’s have a look at the different responsibilities of developers and operators:

Developers:

1- Write code

2- Design features

3- Build code

4- Test application

Operators:

1- Deployment

2- Maintain Servers

3- Scale infrastructure

4- Monitoring

5- Security

6- Backups

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What is DevOps Lifecycle? | How to manage yours

From conceptualization to deployment, the process of developing software applications or web applications is complex. By going through several intricate phases of development, a web application or software is tested on multiple levels before being proceeded into production.

In most cases, software application development becomes time-consuming due to its specifications and complexities. In order to deliver the application in a short span of time, software developers are following a universal set of practices called the DevOps lifecycle.

So, what is DevOps in the world of software application development? Let’s deep dive into its meaning, uses, as well as each critical phase in the DevOps lifecycle.

#devops #devops tutorial #devops lifecycle tools #devops lifecycle blocks #devops lifecycle phases #lifecycle of devops

How to Extend your DevOps Strategy For Success in the Cloud?

DevOps and Cloud computing are joined at the hip, now that fact is well appreciated by the organizations that engaged in SaaS cloud and developed applications in the Cloud. During the COVID crisis period, most of the organizations have started using cloud computing services and implementing a cloud-first strategy to establish their remote operations. Similarly, the extended DevOps strategy will make the development process more agile with automated test cases.

According to the survey in EMEA, IT decision-makers have observed a 129%* improvement in the overall software development process when performing DevOps on the Cloud. This success result was just 81% when practicing only DevOps and 67%* when leveraging Cloud without DevOps. Not only that, but the practice has also made the software predictability better, improve the customer experience as well as speed up software delivery 2.6* times faster.

3 Core Principle to fit DevOps Strategy

If you consider implementing DevOps in concert with the Cloud, then the

below core principle will guide you to utilize the strategy.

• It is indispensable to follow a continuous process, including all stages from Dev to deploy with the help of auto-provisioning resources of the target platform.
• The team always keeps an eye on major and minor application changes that can typically appear within a few hours of development to operation. However, the support of unlimited resource provisioning is needed at the stage of deployment.
• Cloud or hybrid configuration can associate this process, but you must confirm that configuration should support multiple cloud brands like Microsoft, AWS, Google, any public and private cloud models.

Guide to Remold Business with DevOps and Cloud

Companies are now re-inventing themselves to become better at sensing the next big thing their customers need and finding ways with the Cloud based DevOps to get ahead of the competition.

#devops #devops-principles #azure-devops #devops-transformation #good-company #devops-tools #devops-top-story #devops-infrastructure

Measuring DevOps Metrics: A How-To Guide

DevOps is supposed to help streamline the process of taking code changes and getting them to production for users to enjoy. But what exactly does it mean for the process to be “streamlined”? One way to answer this is to start measuring metrics.

Why metrics are important to track

Metrics give us a way to make sure our quality stays the same over time because we have numbers and key identifiers to compare against. Without any metrics being measured, you don’t have a way to measure improvements or regressions. You just have to react to them as they come up.

When you know the indicators that show what condition your system is in, it lets you catch issues faster than if you don’t have a steady-state to compare to. This also helps when you get ready for system upgrades. You’ll be able to give more accurate estimates of the number of resources your systems use.

After you’ve recorded some key metrics for a while, you’ll start noticing places you could improve your application or ways you can reallocate resources to where they are needed more. Knowing the normal operating state of your system’s pipeline is crucial and it takes time to set up a monitoring tool.

The main thing is that you decide to watch some metrics to get an idea of what’s going on when you start the deploy process. In the beginning, it might seem hard to figure out what the best metrics for a pipeline are.

Figuring out which metrics are important to you

You can conduct chaos engineering experiments to test different conditions and learn more about which metrics are the most important to your system. You can look at things like, time from build to deploy, number of bugs that get caught in different phases of the pipeline, and build size.

Thinking about what you should measure can be one of the harder parts of the effectiveness of the metrics you choose. When you’re considering metrics, look at what the most important results of your pipeline are.

Do you need your app to get through the process as quickly as possible, regardless of errors? Can you figure out why that sporadic issue keeps stopping the deploy process? What’s blocking you from getting your changes to production with confidence?

That’s how you’re going to find those key metrics quickly. Running experiments and looking at common deploy problems will show you what’s important early on. This is one of the ways you can make sure that your metrics are relevant.

#devops #devops-principles #devops-tools #devops-challenges #devops-adoption-challenges #devops-adoption #continuous-deployment #continuous-integration

DevOps Lifecycle: Different Phases of DevOps Lifecycle Explained

DevOps is training that permits a solitary group to deal with the whole application development life cycle: development, testing, deployment, and activities. It comprises different stages, for example, continuous development, continuous integration, continuous testing, continuous deployment, and continuous monitoring.

DevOps Lifecycle

DevOps characterizes an agile connection between operations and development. It is a cycle polished by the development group and operational specialists together from the starting to the last phase of the item. Learning DevOps isn’t finished without understanding the DevOps lifecycle stages.

#devops #devops lifecycle #lifecycle

DevOps Lifecycle: Different Phases of DevOps Lifecycle Explained

DevOps is training that permits a solitary group to deal with the whole application development life cycle: development, testing, deployment, and activities. It comprises different stages, for example, continuous development, continuous integration, continuous testing, continuous deployment, and continuous monitoring.

DevOps Lifecycle

DevOps characterizes an agile connection between operations and development. It is a cycle polished by the development group and operational specialists together from the starting to the last phase of the item. Learning DevOps isn’t finished without understanding the DevOps lifecycle stages. The DevOps lifecycle incorporates seven stages as given underneath:

Continuous Development

This stage incorporates the orchestrating and coding of the item. The vision of the endeavor is picked during the orchestrating stage. Also, the designers start building up the code for the application. There are no DevOps apparatuses needed for arranging; however, there are a few devices for keeping up the code.

#devops #devops lifecycle #lifecycle