Enterprises who are transitioning to DevOps practices should utilize metrics to track the progress made, track success and identify areas in need of improvements, Forrester notes. For instance, an increase in the speed of deployment without an increase in quality isn't an achievement. A successful DevOps program requires indicators that help drive intelligent automation decisions. However, organizations frequently have a difficult time interpreting DevOps metrics.
But where do we begin? Look for metrics that align with the progress rate and throughput.
Limited Funds
DevOps initiatives are not without challenges too. Because of the extensive organizational and IT transformations that are required--with previously separate teams forming a team and redefining roles, as well as other changes will take some time to make adjustments. According to a study of IT managers from the software firm Pensa the top issues for DevOps successful implementation are:
- Budgets that aren't as large (cited in 19.7% of respondents)
- Systems from the past (17.2%)
- The complexity of the application (12.8%)
- It is difficult to manage multi-environments (11.3%)
- Corporate culture (9.4%)
Complexity
DevOps initiatives can get bogged down by the complexity. IT executives may struggle to explain the value of their efforts to top executives. Concerning governance and standardization, will centralization result in better outcomes or simply add more layers of bureaucracy that can kill innovation? Then there's the issue of changes to your organization: Can team members overcome resistance and inertia? Dissociating themselves from the years of operating in a particular way? Can they share their experiences and learn from each other, as well as incorporate and orchestrate the best tools?
Unrealistic Goals, Unrealistic Metrics can wreck DevOps.
DevOps efforts can fail for many reasons, such as setting unrealistic expectations, tracking metrics that don't align with business goals, or implementing a half-baked DevOps effort that embraces agile methodologies while keeping IT ops and engineering/development teams in traditional silos.
Future of DevOps: The Future of DevOps
The future of DevOps is likely to bring about modifications to the tools and organizational strategies, however, its primary mission will be the same
Automation is likely to play a significant part in the Role
Automation will continue to play a major role in DevOps transformation, and artificial intelligence for IT operations--AIOps--will help organizations achieve their DevOps goals. The fundamental components of AIOps--machine learning, performance baseline lining, anomaly detection, and automated root cause analysis (RCA) as well as predictive insights -- work together to speed up routine operations tasks. This new technology, transforming how IT teams manage alerts and solve problems, will become an integral part in the near future for DevOps.
AIOps can make Service Uptime a lot easier to achieve
Additionally, it employs algorithms and data science to automate everyday jobs; AIOps also ingests metrics and makes use of inference models to draw useful insights from data, according to data science engineer Jiayi Hoffman. AIOps' automation capabilities help service uptime become much simpler to attain by monitoring, and alerting to the need for remediation. Additionally, AIOps is an advantage for DevOps teams, who can make use of AIOps tools to perform real-time analysis of events streams and proactive detection to cut down on downtime, improve collaboration, speedier deployments, and more.
Will cloud focus be sharpened? Optimization
In the future, DevOps will also see an increased focus on improving the utilization of cloud technology. The central nature of the cloud allows for DevOps automation, with a common platform for testing, deployment and production Notes Deloitte Consulting analyst David Linthicum.
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No matter what new technology the future holds businesses must be aware the fact that DevOps truly is about the journey and the DevOps goals of the company and expectations will change as time passes.
