DevOps: Key factors for a Successful Implementation
DevOps is a software development methodology that brings together teams for software development and operatives in information technology together. Hence, the name DevOps combines software development (Dev) and operations (Ops).
This concept creates a culture that fosters continuous collaboration between these teams that conventionally walk in their separate silos. They collaborate from the phase of the initial design until the product release.
The primary intention is to enable effective and efficient communication between the two teams. This continuous communication is to swiftly and efficiently build, test, and release software. This synergistic collaboration results in continuous integration, deployment, transparency in code, and automated testing.
DevOps is ideal for any business organization that wants to transform its approach toward organization and workflow management that considers all communication and technology processes.
Why Is DevOps Helpful?
- Reduces the length of production cycles while improving productivity and process efficiency.
- Results in the quicker release of products and time taken from marketing.
- Creates better operational support and ensures the staff is well-engaged and motivated.
- Enhanced deployment of success rates based on a clear vision of the product within the team, improved flexibility and support, and team efficiency.
- It helps enhance the quality of the product and reduces the chances of product failure. Therefore, results in an overall improvement in customer experience management.
Limitations
- It is a challenge regarding integration because its unique approach requires specialized staff training. It also needs standardization of processes and procedures within the organization.
- Most companies prefer continuous delivery and integration for testing automation, and DevOps cannot occur without automated testing.
- The costs associated with integrating and utilizing DevOps are higher in terms of time and money.
Steps To Follow
The five parameters that cannot be overlooked in DevOps are collaboration, scalability, frequent and rapid delivery, reliability, and security. This iterative philosophy can be successfully implemented by following the steps given here.
Step 1: Current Assessment
Real-world implementation of DevOps is impossible without replacing the existing models with new ones. Analyze the current situation and understand the problems to be solved. For instance, Netflix overcame the challenges associated with its vertically scaled single-point system by opting for a horizontally scalable and reliable distributed system in the cloud.
Step 2: Culture And Mindset
Without a much-needed shift in culture and mindset, lines of communication, collaboration, and transparency cannot improve between different teams. Without all this, there will be auto chaos.
The indomitable spirit of a team is a factor that stands between success and failure. So, developing a culture that supports DevOps will automatically align the processes and tools toward the desired goals. Without this shift, efficient and effective implementation of DevOps is impossible.
Step 3: Defining The Process
Defining the DevOps process to bridge the gap in communication and alignment in conventionally siloed teams is essential. The different phases that can be used to achieve this goal include continuous integration and continuous delivery, continuous deployment and testing, microservice architecture, and container management systems.
Step 4: Select Toolchain
It’s not just about implementing innovative and new processes but ensuring customized workflow, creating a robust infrastructure along with smooth functionality, and selecting the right tools. Their compatibility determines the tools’ selection for smooth integration with the existing protocols, requirements, and tools. Depending on the phase of the DevOps process, the tools needed will vary.
Step 5: Security and Compliance
DevOps security is the discipline and practice of safekeeping the entire DevOps environment through different technologies, processes, policies, and strategies.
Therefore, deploying different protocols and procedures is crucial to overcome any operational weaknesses. This includes monitoring and controlling access using privileged access management, creating transparent policies and procedures associated with cybersecurity, integrating security into different CI/CD practice commands, and so on.
Step 6: DevOps Metrics
DevOps is based on the concept of continuous improvement. To achieve this objective, the teams must regularly collect, analyze, and measure the metrics associated with the relevant business goals and KPIs.
These metrics offer the required insight to determine areas with further scope for improvement. The most important metrics for performance measurement of a DevOps team include lead time to changes, deployment frequency, and mean time to recover.
Other areas where metrics must be measured and tracked include customer perspective, innovation perspectives, internal procedures, and financial aspects.
Step 7: The Creation of Team
The final step of the process is to create a DevOps team. The DevOps team optimizes product delivery and value throughout a product’s life cycle. So, the team must include individuals skilled in operations, software engineering, or any other areas needed per the company’s requirements and goals.
DevOps is one of the latest software development approaches with significant technical and business benefits. It offers a lot, from adaptable release management and structure for centralized release management to quicker development cycles, faster time-to-market, and improved deployment frequency.
Some global companies that truly exemplify the invaluable possibilities offered by DevOps include Amazon, Netflix, Walmart, Target, Nordstrom, Adobe, Facebook, and Sony Pictures Entertainment. So whether it’s a small or a large company or young or old, utilizing DevOps is the key to success.
Nisha Arya is a Data Scientist and Technical writer from London.
Having worked in the world of Data Science, she is particularly interested in providing Data Science career advice or tutorials and theory-based knowledge around Data Science. She is a keen learner seeking to broaden her tech knowledge and writing skills while helping guide others.