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Principles Underpinning DevOps

By CIOReview | Tuesday, January 12, 2021

DevOps is a significant shift in IT, especially for enterprises supporting a large number of applications, and centralized monitoring, that reduces IT costs and improves system reliability. 

FREMONT, CA: Skill gaps are a primary hurdle that IT leaders face when it comes to strategic and innovation programs. A study shows a 900,000-persons skill gap in AI, IoT, and blockchain in future. This is in developing technologies where cutting edge businesses are competing for the top talent. In the future, 75 percent of the organizations will experience visible business disruptions due to infrastructure and operations skills gaps. If the skills and costs required for maintenance are expensive and technically complicated compared to legacy systems, then businesses are going to have a challenging time providing high performance and service levels. Some options to automate more while applications are being developed.

Investing in a centralized monitoring platform is the first option. The difficulty is that representing more endpoints to monitor and transactions can span across multiple services, databases, cloud zones, and data centers. Providing centralized monitoring platform, embedded AI capabilities, and autonomous operations can yield significant short- and long-term benefits. Centralized monitoring facilitates aggregating log data plus events from different systems into a central data, and the ML capabilities correlate alerts from numerous incidents into a single. Autonomous operations (or AIOps) can then route events into multiple ticketing systems based on the type of issue. The impact is that problems can be resolved faster and with fewer skilled IT people participating in the recovery and root cause analysis.

Managing applications in production only resolves part of the expense, complexity, and skills needed to maintain modernized applications. More organizations are investing in constant integration and deployment platforms (CI/CD) and continuous testing inclinations to enable more frequent and less error-prone application release cycles. IT companies still need developers to make the necessary code changes, but regression tests can flag unexpected coding problems, and CI/CD ensures that deployment steps can be performed without manual steps and procedures.

Automated testing, centralized monitoring, and continuous integration are three devops best practices. Gaining the tools and implementing the automation are the operational steps to address the skills, expense, and complexity in managing the applications. The other more significant consideration is how adopting these practices can transform IT into a DevOps culture.

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