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Enabling your digital organization into a faster and valued firm that generates increased revenue, you would never hesitate to transform. DevOps services are just one of those processes that iterate your business strategies to provide value like ever before. However, it becomes efficient to measure adapted services’ value upon tracking the most important Key Performance Indicators (KPIs) under an experienced in-house team or outsourcing DevOps services from a dedicated firm with substantial expertise to lead a successful DevOps endeavor.

DevOps facilitates development of high-quality software at faster rate while ensuring customer requirements with faster testing and deployments.

This makes the software development process much swifter in terms of gathering feedbacks and continuously tracking results for a successful devOps journey.

Benefits of Measuring DevOps KPIs

Today small to large scale organizations are counting on devOps services knowing about the enthralling results that create a subpar experience in customers’ interest. But remember tracking of customer satisfaction goes proportional with tracking your KPIs during the development of the software. As a DevOps service provider or DevOps outsourcing company, you must notice the vital KPIs and identify the roadblocks that may hamper the delivery speed.

During the SDLC (Software Development Life Cycle), constantly tracking the metrics unlocks the benefits of readily analyzing software performance, analytics and behavior of internal toolchain activities.

Checking on the roadblocks of the software development process also determines the robustness in operations across the boards or teams. DevOps services are a set of processes where continuous checks, rectifications, data-driven tests are done to plan an introduction of profound software which creates enhanced productivity insights with complete diligence.

Why is DevOps Important?

DevOps involves an organizational culture of development practices with several integrated tools that help an organization increase their ability to deliver high-end software products that pace up the management processes. The development and operation teams combine together to evolve with a profound technical ecosystem that stays ahead of traditional software development processes.

Traditional software development models use over the wall processes that had little resonance which often grew complexities and later resulting in slower production time. The introduction of DevOps methodologies has revolutionized the production and deployment of software with quicker iterations during the development phases with continuous testing. DevOps processes are more automated than the conventional development models.

Let’s move on to explore the most important KPIs needed for ensuring DevOps a Success.

1. Deployment Frequency

Deployment frequency is a most important check-point as teams combine to adopt DevOps as a Service. It is a key performance metric to track the development and deployment velocity of the software production.

For more complex developments, the deployment frequency should be granular in the CI/CD pipeline. The deployment frequency should either remain consistent or maintain a small but steady upward trajectory meanwhile any sudden dip in deployment frequency indicates processes being obstructed during the SDLC.

Deployment frequency is a parameter to increase the efficiency during development that helps improved test performances and quicker release of the software.

2. Availability and Uptime

While developing high-quality software, downtime is the last thing you want to come your way which makes uptime a key performance indicator for measuring your DevOps success roadmap. As a part of scheduled maintenance, a little downtime can be considered legit.

DevOps engineers try and cultivate an architecture that’s capable of bouncing from unplanned downtime. However, one can’t assure complete availability yet it can be optimized and reduce as much as possible.

The widespread usage of applications is changing the business landscape, increasing reliability and availability to levels that were unimaginable for a DevOps Success.

3. Change Lead Time

Change lead time can be effectively measured by a unified work backlog methodology that provides the status for a particular application or service code during testing and further deployments. Also, a single ticketing feature in DevOps helps in rolling back to a feature in particular when needed during deployment.

In a CI/CD deployment pipeline, it becomes much easier to read the generated ticket using webhooks that closes the work item once deployed.

4. Escape Rate and Defect Volume

Out of a number of important KPIs, a core metric that the development and operations team are worried about while developing software is the defect volume. It is a clear indicator of the effectiveness in production and deployment which helps the analysts to determine quality during SDLC. Although with emerging automation processes, expecting a 100% error-free application is erratic and anti-pattern as making changes is considered normal.

The escape rate is the ratio of defects found by users in production to the number of defects found during testing of the software in the pre-production stage. Quality analysts can get a successful insight of effectiveness during the productivity cycle of the software.

5. Mean Recovery Time

Restoring services after an outage or to repair a setback is known as the meantime to recovery. This includes the time taken to detect a failure and taking remedial action to restore till the normal operations were executed. Key DevOps players or teams are able to detect downtimes and failure insights to swiftly handle the development process.

6. SLA (Service-Level Agreement)

A service level agreement (SLA) is a legal contractual obligation to maintain a level of availability over a given tenure. All stakeholders should be engaged in determining what possible measures constitutes uptime versus downtime, and then come to an agreement on an effective way to measure it.

Large distributed systems require an elaborated monitoring system that helps to report to this metric and maintain a subtle balance more consistently.

7.  Application Performance

Measuring application performance is an important KPI metric that stimulates all potentially unique combinations of network paths and source codes to be utilized for a given session. Here, Blackbox monitoring acts as a stimulating agent for sampling all other metrics outside the application and the response time of the application that users can experience.

With a rich technical ecosystem and multi-level SaaS architecture, DevOps tends to deliver to its promises through refined and well-measured KPIs and monitoring methods. The process of remaining effectively presentable to the measured KPIs, the development and operations team visualize KPI statuses regularly for a successfully delivered outcome.

DevOps delivers an immense amount of business value to an organization. But setting up an in-house team of experts can’t leverage cost on the first hand. So, DevOps outsourcing is a method of attaining great value to your organization and could surely drive you to the desired success. Outsourcing of DevOps services from an experienced firm helps you to realize a capable engineering talent, a great support staff with endeared feedback loop relieving you from higher expenses.

Conclusion

DevOps with a high-end automation system is a streamlined ecosystem for developing quality software effective with high organizational value. The measured KPI metrics help the technical and non-technical teams to precisely defer any inaccuracy during the software development life cycle of the project.  Moreover, with achievable KPIs and SLAs the design, delivery and deployment can get a technical gem for your organization for sure.


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