Avoiding these DevOps antipatterns can help organizations reap the benefits of implementations faster
Itās a given that all organizations at some point will suffer from poor development practices when trying to find the perfect balance between software development and IT operations. The good news, however, is that implementing DevOps can help you improve these processes and get them synchronized and working together in harmony.
However, understanding and mapping out the core issues and the common DevOps “antipatterns” that are holding you back from successful DevOps implementation is essential. This article will focus on the most common DevOps antipatterns that organizations tend to fall into and how to avoid or overcome them.
What Are DevOps Antipatterns?
At first glance, DevOps may sound like a pretty straightforward concept. At its core, DevOps is about bringing together separate but functional areas and bridges the gap between software development (Dev) and IT operations (Ops) with the ultimate goal of delivering software faster and with better stability.
That said, DevOps antipatterns can best be defined as ideas that are counterproductive to the DevOps culture. They include:
- Blame culture: In this kind of culture, blaming and punishing people is the norm when mistakes are done. It can happen at an individual or organizational level.
- Root cause analysis (RCA): RCA is a process that involves identifying the ārootā cause of a problem or an event, as well as the appropriate actions to take to avoid a recurrence. Itās an iterative and continuous process that must be performed until data is exhausted or all organizational factors have been identified.
- Human error: Human error is often cited as a root cause in RCA. This is also common in āblame cultureā and someone has to be held accountable for mishaps and mistakes.
- Silos: An organizational or departmental silo defines the mentality of teams that donāt share their knowledge with other teams within the same company.
4 DevOps Antipatterns and How to Break Them
Wrong Perception of Your DevOps Team
The perception you have of your DevOps team matters. Itās essential to consider the team as part of the entire process. Neglecting to provide them with structure, resources, and a positive working environment can increase your chances of DevOps failing. Furthermore, making DevOps teams more productive requires proper implementation of processes and tools.
How to Break It
A successful DevOps implementation requires more than just bringing people together. Structuring the team correctly and adding processes is vital if they are to succeed. Providing the necessary resources, technology and information security they need will get the best results.
Practices such as continuous integration (CI) and continuous delivery (CD) are both concerted processes that can be used to bring development teams together in alignment so software products are delivered quickly, operations are more simple to manage and no downtime is present during deployments that are detectable to the end user.
Poor Choice of Technology
Technology plays a significant role in IT; however, the rapid development of new technologies has made it challenging to separate essential and overhyped tech trends. For instance, DevOps itself is a powerful digital transformation tool as it plays a critical role in new software development and problem-solving. Nevertheless, many of the latest IT trends should not be worth your attention unless you and your team are willing to implement it correctly.
How to Break It
This antipattern can be broken by top-level and project managers who make the decisions regarding technology choices. Asking questions such as, āWhat does the organization need?ā or, āHow well will this technology work for us?ā will help when choosing what tech is right for your organization. With thousands of tools and technologies available, you need such a mindset to make the right decisions.
Unclear Responsibilities in Teams
You may have come across this problem in many other non-IT projects. However, in both IT and DevOps teams, the consequences can be severe if solutions arenāt implemented quickly. If team members arenāt clear on their roles and responsibilities, this can lead to poor decision-making and unnecessary interference in other people’s positions.
How to Break It
First of all, you need to clearly define roles and responsibilities for everyone in the team. A clear definition of roles boosts productivity. For example, having a data scientist in your DevOps team can play a huge role in business success due to their very specific data analytics skills, techniques and tools. In fact, 89% of business managers agree that hiring a data professional will help to improve success at their respective organizations. There just needs to be active and consistent communication between team members for everyone to conduct their own roles and responsibilities efficiently.
Every team member should follow the strategies and plans in place so timelines can be monitored and effective top management decisions can be made. When implementing complex DevOps architectures that require teams and software to work together, poor decision-making will be an issue if roles are left unassigned.
Wrong or No Code Deployment
To put it bluntly, there’s no DevOps without code deployment. With this being the ultimate result, DevOps makes no sense if it fails. This is quite a challenge for several organizations, as having Dev and Ops teams working in harmony can seem impossible.
How to Break It
As mentioned above, code deployment is often a challenging task for DevOps teams. However, organizations can break the resultant antipattern by integrating the units correctly to enable a collaborative environment, a great strategy for successful DevOps implementation.
Such an environment will also make code deployment easier by reducing the need for a series of meetings and reviews, which ultimately delay teams from getting code to deployment.
NoSQL’s Key Role in Database DevOps
DevOps processes need to work in a synchronized manner to be successful. Issues with the database can cause it to slow down and affect the delivery of database changes. However, NoSQL’s unique approach is designed to simplify the process of DevOps implementation in the following ways:
Faster scalability
Many small companies fail to maintain peak performance with greater workloads. A more significant workload calls for better tools that can help maintain peak performance, subsequently making it easier for organizations to scale out.
More efficient technical support
Having technical support that doesn’t hold you back is key to DevOps success. The right NoSQL solution enables you to solve problems before they become full-fledged, expensive and time-consuming.
Faster adaptability
The changes that new codes bring for databases can be challenging. NoSQL makes it easier to deliver solutions to client requests, as it organizes them using dynamic indexing. Therefore, it verifies all queries before answering them with the appropriate index.
Platform testing
Testing is one of the critical steps you need to go through before actual implementation. Databases should be flexible enough to allow you to test queries without interfering with the real data. Testing helps to determine how new changes will impact the development process.
Conclusion
As you can see, there are many ways to implement DevOps systems in your business to deliver products faster, offer more technical support and automate essential tasks.
All of the requirements we have covered are necessary if a business is to scale and grow. Businesses need to ensure the correct strategies are in place, roles in the company have been clearly defined and common antipatterns have been identified and eliminated.
