Previously software development and operations teams were isolated and separated from each other. Even though there work highly depended upon each other that was the ground reality they were facing back in the days.
Then came DevOps, DevOps combines both of these teams into an infinite cycle, the Dev side coded and tested software whereas the Ops side deployed and monitored their functionalities over time. This intervening of departments through DevOps resulted in a much more responsive and stable environment for software to be coded, tested, and deployed rapidly, this also proved quite useful in terms of problem-solving later on.
Another thing that DevOps does is that it automates tasks like development, testing, and operations because of the joint effort of both departments. On a smaller level, DevOps deals with changes in code, sticking to the standard model of continuous integration and/or continuous delivery (CI/CD), scheduling and orchestrating containers, managing configuration, and careful monitoring of consistent post-releases. This all sounds technical to the layman but in simpler terms, it only refers to the practice of smooth hand-in-glove collaboration between both departments rather than just obsessing with tools. This is because DevOps is all about people, processes and lastly tools and one can focus on the tools only when the previous two are achieved.
So, the following are the examples for DevOps and the tools associated with it.
Examples of DevOps
DevOps is a vast field and can have many different practical examples, the following are the 14 examples of DevOps.
This is the cornerstone of every product and project that has ever been done or is underway. Coding deals with things like code development, unit testing review, code merging, and source code management tools.
Building refers to the process of continuous integration of work from different tools and developers. Continuous integration (CI) is the process of merging all the working copies from developers into shared mainline multiple times a day.
Testing is an essential part of any successful project, the testing phase uses continuous testing to provide timely feedback on business-related risk. CT or continuous testing was introduced as a way to reduce the waiting time for feedback to developers. This was done by using an environment-triggered test during the development phase. This was done side by side with more traditional testing like developer or tester triggered testing.
DevOps, as mentioned above, is based on incremental updates after a certain period. These incremental updates are stored in the form of packages, they are repositories for such updates.
Since there are a lot of people involved in the DevOps process and changes are bound to happen hence change management is used to tackle this. Change management deals with the process of submitting changes, prioritizing what should be done first, and approving changes that are to be implemented.
Configuration refers to the practice of infrastructure configuration and management and using infrastructure as code (IaC) tools. IaC is the management and provisioning of data centers through machine-readable definition files rather than physical hardware configuration.
As mentioned above the changes and updates are incremental and are rolled out
Monitoring is the Ops part of DevOps as it deals with monitoring the performance of the software that has been deployed. Monitoring of security aspects along with user experience is also carried out side by side to see if there is room for improvement.
Service Level Objectives
Service level objectives are used to evaluate the performance of whatever product or tech is in development. This deals with defining such objectives and delivering them for internal or external services.
It is quite common that most of the time, not enough resources are available for everyone to work efficiently. Hence for this, the capacity for such resources is scaled to meet the rising demand.
Showing resilience towards failure is a common trait for anyone to be successful in life and it is quite a common practice for practitioners of DevOps to display resilience. This means that any failures, mishaps, stress, and other factors are to handled quite gracefully.
Incident management deals with the problems that arise after deployment. It is a tactical process to deal with and troubleshoot problems to restore services as soon as possible. Incident management also deals with applying practical fixes as well.
If a problem cannot be resolved by troubleshooting then it passed onto the problem management stage. In this, they deal with identifying what is causing the problem and dealing with the root of it.
DevOps is all about working tirelessly to keep the system up and running and improving the overall user experience for users, this is also a key part of the Ops section. Improvement is done by continuously measuring, analyzing, and improving the DevOps process.
Tools for DevOps
So know that you are caught up with the practices of DevOps, let us focus on common tools that are used by people who practice DevOps.
GitHub is the standard host used by the people working with Git. GitHub is as ubiquitous for software engineers Twitter, Facebook, or YouTube for common people. It is considered a social coding platform for people to collaborate and work together.
GitLab is also a web-based repository like GitHub but it is quite noticeably different. GitLab has a source code repo and also boosts native support for CI/CD along with containers. It is quite suitable for beginners as it is easy to navigate.
Jenkins is used to automating parts like building, testing, and deploying, facilitating CI and CD, and other parts related to DevOps. Jenkins is a free and open-source automation server. Jenkins is suitable for those who do not wish to push their proprietary information on the cloud, instead, it provides an on-site option for developers.
Bitbucket is an alternative to Git as it provides almost the same functionalities, the use of Bitbucket boils to a company’s preference for tools.
Go Continuous Delivery (GoCD) is a tool used by software developers to automate the process of continuous delivery. It is a powerful tool as it is capable of automating the entire build test release process from code check in to deployment.
Docker uses OS-level visualization to deliver software in packages which we referred to as containers. Containers are isolated bundles having their software, libraries, and configuration files. These containers are capable of communicating with each other through well-defined channels.
Puppet is an open-source software configuration management and deployment tool which is thought to be on the more streamlined side of things. It remains a go-to for people choosing the declarative side.
CircleCI enables you to do GitHub checks, run images from Docker’s registry, and use SSH or local builds to easily debug. CircleCI remains a standout for less cloud-averse.
Kubernetes is a container-orchestration system for automating computer application deployment, scaling, and management and is considered a popular tool among developers.
The chef is a configuration management tool written in Ruby and Erlang. It is used to streamline tasks, configuring and maintaining a server, integration with cloud-based platforms to automate configuration and provision of new machines.
SaltStack is a configuration management software and remote execution engine which is kept open-source. Salt is written in Python and can automate tasks related to DevOps.
Honeycomb is considered the pacesetter in the emergence of observability as it has a technological advantage to it. Honeycomb allows data collection through distributed tracing across a full range of information.
It a monitoring solution that is used for event monitoring and alerting. It is an Open-source project started by ex-Googlers who wanted to monitor a highly dynamic container environment.
PagerDuty provides SaaS and is an incident management platform used to provide reliable notifications, automatic escalations, on-call scheduling, and quite a lot of other functions that help teams in detecting and fixing infrastructure problems asap.