DevOps – A Roadmap to IT Success

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DevOps – A Roadmap to IT Success

DevOps – A Roadmap to IT Success

Vinod Verma | April 22, 2019

The age of digital transformation demands transformation in the way enterprise IT teams function. It is no longer enough to develop innovative software or products; the key to competitive advantage lies in the pace of innovation.

IT Transformation from SDLC to DevOps

Traditional software development lifecycle (SDLC) is mostly linear, especially in the initial phases of the project, where the software is first created and then delivered to the customer for feedback. This results in Development and Operations teams working in silos and creates friction within the teams.

Traditional Software Development lifecycle also deals with the lack of detailed requirements from clients by employing systems analysts to examine existing manual systems, analyze their functions, and recommend replacement strategies. However, in practice, mutually exclusive system analysis and programming expose non-trivial systems to issues and edge cases that the systems analyst did not consider. It won’t be incorrect to say that Traditional SDLC lacks “faster time to market,” “frequent deployments,” “early bug detection,” “frequent customer feedback,” “continuous integration,” and “collaboration between teams.”

To overcome issues with Traditional SDLC, seventeen software developers met, in 2001, at a resort in Snowbird, Utah to discuss lightweight development methods, and, together, they published The Manifesto for Agile Software Development. Many organizations have reaped the benefits of successful implementation of Agile methodologies for software delivery. It was further identified that to expand on the success of Agile, there was a need to have Automated Infrastructure Orchestration, Configuration, and Management, Continuous Integration, Continuous Delivery, Continuous Deployment, and Continuous Monitoring. This led to the emergence of DevOps, which helps reduce gaps between Development and Operations teams to achieve the above DevOps Practices.

As per Gartner, “DevOps represents a change in IT culture, focusing on rapid IT service delivery through the adoption of agile, lean practices in the context of a system-oriented approach. DevOps emphasizes people (and culture) and seeks to improve collaboration between operations and development teams. DevOps implementations utilize technology — especially automation tools that can leverage an increasingly programmable and dynamic infrastructure from a life cycle perspective.”

Image of DevOps cycle: IT Transformation from SDLC to DevOps

Let’s take a look at a high-level summary of SDLC challenges with Traditional Development and how DevOps Practices address them:

SDLC Challenges Traditional Development DevOps Practices
Longer Project Planning Cycle
  • Prolonged requirement gathering cycle.
  • Frequent requirement changes by the client delay the planning phase
  • Agile methodology shortens the requirement gathering cycle.
  • Incremental development makes change requirements easier to implement even if introduced after the planning cycle.
  • Programming Language
  • Monolithic architecture forces the usage of a common programming language by all team members.
  • Microservices architecture provides flexibility to choose any programming language depending on the team’s expertise
  • Inconsistent Development Environment
  • Different environments for code simulation and production.
  • Ability to simulate code in an environment similar to production using DevOps tools like Vagrant & VirtualBox/VMWare.
  • Lack of Collaboration
  • Teams work on different modules which causes multiple code integration issues.
  • DevOps Practices imply Agile methodology which enforces daily code integration and early detection of issues.
  • Early Detection of Bugs
  • Bugs identified during the integration phase right before delivery
  • Implementation of CI/CD toolchain enables daily code integration and allows bug detection during the development phase.
  • Longer Release Cycle
  • Takes months to years for project releases.
  • DevOps & Agile practices using automation tools enable feature releases every Sprint (weekly/bi-weekly).
  • Build Infrastructure
  • Cloud infrastructure in-built by using scripts or is hand-crafted with lesser control.
  • DevOps toolchain like Infrastructure-as-a-Code tools like Terraform, CloudFormation automate the entire infrastructure build-up in a few minutes with more control.
  • Zero Downtime
  • Deployment of application or software upgrade/patch causes downtime of application which impacts business.
  • DevOps Toolchain ensures there is no downtime while deploying application or upgrading software/patch by applying Blue-Green, Canary or Microservices strategy.
  • Rapid and Efficient Application Delivery with DevOps Toolchain

    The primary goal of DevOps is to streamline development, and organizations use a combination of tools, referred to as DevOps Toolchain, for delivery, development, and management of applications as per DevOps practices. The DevOps Toolchains enable teams to overcome Traditional SDLC issues listed below.

    Table of DevOps Toolchain: List of Traditional SDLC process issues and examples of DevOps tools to address them

    Measurable Impact on IT and Organizational Performance

    It is a proven fact that DevOps increased agility, improves quality, and accelerates innovation. For their State of DevOps Report, Puppet surveyed more than 25,000 technical professionals and shared insights on DevOps practices and their impact on IT and organizational performance. Some of the key findings of the survey about high performing teams were:

    • They deploy 200 times more frequently and have 2,555 times faster lead times

    • They have 3 times lower change failure rates and recover 24 times faster

    • They spend 50% less time on fixing security issues by addressing security issues at every stage of the software development lifecycle, instead of retrofitting security at the end

    • They spend 22% less time on unplanned work and rework

    IT and Organizational Adoption of DevOps Practices

    As per a survey published in January 2016 by the SaaS cloud-computing company RightScale, DevOps adoption increased from 66 percent in 2015 to 74 percent in 2016 and among larger enterprise organizations, DevOps adoption is even higher at 81 percent.

    The adoption of DevOps is driven by many factors including:

    • DevOps practices like Continuous Integration and Delivery

    • Continuous Deployment to Production Environment

    • Increased use of Public/Private Cloud Infrastructure for high availability and optimized costing

    • Increased usage of Industry approved Automation Tools for Production Deployments and Management

    Conclusion

    DevOps enables end-to-end visibility for your applications, infrastructure, reliability, and team health in your DevOps environment. Sharing key performance metrics with all stakeholders in your digital business lets everyone monitor your DevOps efforts and ensures success at every stage. Leaders benefit from knowing that everyone is aligned and moving forward towards the same goals, and shared insights help team members collaborate easier and quicker.

    Indecomm Digital Services has a proven track record in delivering DevOps automation services using trending DevOps tools such as Terraform/CloudFormation, Docker, Kubernetes, Ansible/Chef/SaltStack, Jenkins/Bamboo/CircleCI, GitHub/BitBucket, DataDog/NewRelic/PagerDuty/Slack, among others. Contact Us to know more about our DevOps capability to keep you ahead of the curve.

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