A Guide to the Key Components of DevOps
How many times do you have to settle issues between your development and operations team? I guess, a lot. This is simply because these are two branches of any venture that are like parallel shores of a river or you can say two sides of the same coin. Their functions are overlapping at times and that is what causes issues.
DevOps is the technology that is bridging the gap between the development and operations team of an undertaking. DevOps means to achieve this cordial coordination with the help of better communication and collaboration. Today we are going to discuss the Key Components of DevOps.
The Most Critical Components of DevOps
Here is a list of the key segments of DevOps Framework that you have to execute on the off chance that you need to have an effective DevOps experience.
An Agile Framework
As your Development group takes a shot at new highlights, they must be prepared to go up against spontaneous errands based on the data accumulated from telemetry. This may incorporate fixing applications, modifying designs, adjusting configurations or adding capacity. An Agile Framework, for example, Scrum or Kanban gives you the flexibility to change designs swiftly. If you are using a framework such as Scrum, then you must allow time in every Sprint to take on production variations.
In situations where an arrangement or code change is important, having a good test automation enables the group to realize that their change did not accidentally break something else. In some cases, there can be many tests that can be kept running over a perplexing bit of code. Manual testing might take days so the team cannot move rapidly to settle issues. Automated testing can decide whether a fix is alright inside minutes.
How would we guarantee that the application is just conversing about resources particular to the environment in which it’s running? Configuration management is the appropriate response. The initial step of configuration management is to externalizing those design worries from source code into a configuration file (e.g. properties document for Java or an App.config record for .NET applications). The second step is to figure out which configuration file to utilize. There are two methods for this:
- At Run Time: When the application is beginning up, it will decide the environment in which it’s running and load the appropriate configuration file. Henceforth, this methodology requires a different separate configuration file for each environment. Ashraf Sarhan wrote a blog that strolls through a case of utilizing Spring profile to actualize this methodology.
- At Deployment Time: The second methodology will rather compose the configuration file at deploy time. Contingent upon to the condition we’re deploying, the deployment script will write the configuration file with the proper values. A case of the second methodology is Octopus Deploy which is depicted in their documentation.
Integration in this context is just to send our application to a situation where it will connect with other applications and components in the ecosystem. Having a customary timetable of incorporating your application is essential in accomplishing a feedback cycle. The moment our integration cycle is tighter so will be our feedback cycle. The constant foe of tight integration cycles is manual manuals. Thus, every time we need to make the cycle tighter, we need to automate a process or step that was manual. Examples of manual advances that should be automated are:
- Deploying the application: Automated Delivery Pipeline as of now helped us with this viewpoint by requiring to plan a mechanized content that can bring the deployable artifact and convey it.
- Testing: We can just convey the application to Production once it has been completely tried and ensured in the lower environments. Thus, when we automate the number of testing that could be expected, we can diminish the time required for new code to be deployed for production. One way for accomplishing this is via automating end-to-end testing while at the same time following a Test Pyramid approach like Martin Fowler portrayed in his article.
- Reporting issues: Instead of sitting idle for clients or testers to report issues, we need an automated procedure for recognizing issues and conceivably fathoming them before our clients notice them. Automated monitoring and health checks, which we will cover subsequently can help with this.
- Troubleshooting: This includes burrowing through log documents which can be tedious when you have an application sent on several machines. This is the place where log aggregators like Logstash, Graylog, and Splunk enable us to make the procedure quicker and simpler by providing a central place where we can question the logs and see what’s happening.
Infrastructure as Code
This could be the most conspicuous part of learning DevOps, however, I deliberately exhibited it toward the end to emphasize that it’s not the only aspect. Throughout the years, numerous good practices came out of developing software for business issues that are broadly embraced yet a significant number of those practices are not utilized to infrastructure. Treating infrastructure as the code does not only intend to write code for infrastructure but also intend to apply the previously mentioned best practices to infrastructure code:
- Putting it in version control like Git, Subversion, and Mercurial. This enables us to track changes, make sense of why something was changed, revert back to the working version and so on.
- Name your scripts appropriately and organize them in packages/folders with the goal that we can discover contents effectively and know for what they were composed.
- Always search for chances to reuse code/scripts and pursue DRY rule (Don’t Repeat Yourself) as much as possible.
- If possible, automate running the scripts and expel any manual processes as possible. First and foremost, documenting and versioning scripts is sufficient however sooner or later we need the capacity to run those scripts by clicking a button instead of copying and pasting chunks into a console to run them. Constructing instruments like Jenkins could be your closest companion for this assignment.
- If possible, test your code by means of automation. This could the trickiest part as we are composing scripts that includes a server or compartment.
DevOps is all about a journey and not the final destination. Starting to embrace all these practices as discussed above will surely enable your projects to embrace a truce while working. DevOps aptitudes and apparatuses are ceaselessly advancing. Like grasping Agile techniques, DevOps is a big piece of an entire cultural change pie inside an association. The overall solutions would surely incorporate numerous components, for example, on-call and escalation procedures, incident tracking systems, and so on. In case you are attempting to set up a DevOps procedure, you should focus around embracing these elements surely.