Realizing DevOps Automation Challenges

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Realizing DevOps Automation Challenges

Realizing DevOps Automation ChallengesThough DevOps adoption is gaining rapid adoption custom DevOps implementation comes with various challenges that adversely impact the successful adoption and value proposition of the DevOps automation.

Lack of Standardization and Fragmented Toolsets

Implementing custom DevOps automation solution is complex. There are no standards defined for DevOps. The DevOps industry is moving too fast. There are too many fragmented toolsets to choose from, each tool targets a specific type of task. The DevOps automation team requires extensive experience on the DevOps tools to select the right tool for the specific use case scenarios and ensuring the interoperability of the tools. The DevOps automation team needs to constantly engage in research to find out the tools that are innovating and replacing the existing toolsets that aren’t innovating.

Higher Budget Allocation

Custom DevOps implementation requires highly skilled DevOps resources. This requires higher budget allocation for skilled DevOps resources and for continuous research and innovation in DevOps tools and technologies.

Increasing DevOps Complexity with Growing IT Complexity

The IT environment complexity is constantly increasing as the organizations are transitioning from monoliths to microservice based distributed applications, migration from in-house data centres to multiple cloud environments etc. The DevOps automation needs to constantly evolve with the increasing complexity of the IT environments that adds to cost and risk.

Delayed Outcome

The complexity of implementing DevOps adds substantial time-lag before the business values for DevOps automation can be demonstrated. This adds the risk of the sponsors losing interest in the DevOps automation projects.

Frontloaded Technical Debt causing delays in Business Services Delivery

Establishing SDLC environments and DevOps automation are often frontloaded for many agile modernization projects. Typically, it takes 12 to 18 months for establishing SDLC environments and DevOps automation platform. This causes substantial delays for the delivery of the Business Services to the customers.

CEO xAQUA

Sanjib Nayak