During the pandemic, most businesses have adopted remote work or work-from-home practices. Earlier it was reported that software development teams responded well to the transition and managed their work without any productivity drains. However, a new study now suggests that “remote workers work longer, not more efficiently.” That’s why there is an increasing interest in hybrid working models, which are a mix of remote work and working from the office. Irrespective of which working model your organization adopts in the “new normal,” monitoring and improving productivity is going to remain a crucial challenge.
Software development teams aren’t placed any better when it comes to monitoring different aspects of their work and there’s usually a large scope for improvement.
- According to a survey, 62% of DevOps practitioners have admitted that it is difficult to measure the impact of DevOps progress and success.
- Around 33% of the respondents in the same survey stated that they need to consult 3-4 tools to assess a project’s status, while another 32% reported using 5 or more tools for the purpose.
As the project data is spread across disparate tools, it is not easy to accurately assess team velocity, mean time between failures, defect open/close rate, and other metrics which are generally seen as signals for teams’ productivity and success. You may learn more about the barriers to developers’ productivity here.
Klera offers several out-of-the-box (customizable) apps for software development teams to enhance their productivity. These apps help you:
- Establish bi-directional connectivity with various tools for source code management, project management, test suite management, change and release management, application performance monitoring, and more, without writing a single line of code.
- Correlate data from different tools for increased traceability and contextual insights.
- Use Machine Learning with both built-in and custom models to gauge productivity, assess risks, and ensure predictable deliveries.
- Create custom dashboards for team members to collaborate, higher management to get a sense of their projects, and more.
We have listed five of these popular apps below:
CI/CD Build Pipeline Monitoring
It is not easy for delivery leaders to assess the quality and performance of their builds across different projects as the data is often spread across many tools. The app helps you unify data from tools like Git, TeamCity, Jenkins, Sonar, and Artifactory using out-of-the-box, smart bi-directional connectors for monitoring and analysis. The app provides a dashboard to assess the performance and quality of deployments in a unified way across multiple tools. With the dashboard, you can:
- Identify the number of builds across different environments (e.g., development, testing, staging, production, etc.).
- Identify the total number of builds, commits, pull requests, average build duration, builds and deployments per day, and more.
- Visualize critical metrics such as technical debt and code coverage.
- Monitor the success and failure rates of unit tests.
- Get static code analysis that classifies coding errors as per their severity levels (e.g., minor, major, critical, etc.).
With continuous monitoring of the quality and performance of builds, you can enforce best coding practices, and improve code maintainability and reusability. It is possible to customize this app using different connectors and extend it to include application monitoring (Nagios) and container monitoring (Kubernetes); learn more here.
While most DevOps teams are able to achieve continuous improvements in velocity and deployment frequency, fixing defects in time is often a big challenge. Teams spend several crucial hours tracing issues and vulnerabilities back to the modified files, source code, and author. Lack of backward traceability prevents them from finding the root cause of issues or who is the best fit to resolve it immediately. DevOps Traceability app solves this challenge. The app helps you gather data from tools like ZAP, ServiceNow, Jira, Git, SonarQube, Jenkins, Kubernetes, and more. You can visualize the data over an interactive dashboard, to detect vulnerabilities in the code and find out:
- The modified files, commit ID, and exact line of code responsible for the vulnerability
- Who made the commit or modified the file and how frequently
- Which Jira issues or change requirements led to the file modification
By automating end-to-end traceability, organizations can quickly detect issues and vulnerabilities in their application and assign them to the right team members for a quick resolution; learn more here.
DevOps KPIs Monitoring
With diverse and ever-evolving DevOps toolchains, it becomes difficult for delivery leaders and CXOs to assess their DevOps success. Tracking too many metrics doesn’t necessarily translate into actionable insights. That’s why DevOps Research and Assessment (DORA) group’s metrics are now taken as gospel for tracking DevOps success. Klera offers an out-of-the-box app to implement and track the four key DORA metrics, i.e. Deployment Frequency, Time to Restore Service, Lead Time for Changes, and Change Failure Rate. You can also use your custom metrics to gauge quality and performance. The app helps you:
- Connect to a wide range of third-party and internal tools and databases
- Get a high-level overview of your key projects
- Customize the dashboard to track what matters
- Drill down to details of each metric to identify bottlenecks and critical issues
Regular tracking of these key metrics can help you steer your projects in the right direction and get an accurate assessment of DevOps success over a period; learn more here.
In large organizations, Quality Engineering (QE) teams often struggle to manage and monitor the test suites across different projects. Due to partial automation and lack of end-to-end visibility, they have to painstakingly track multiple builds, defects, associated test cases, and so on. It makes it difficult for them to assess which projects or releases are at risk. Klera solves this challenge for the QE teams by enabling unified monitoring of test data and quality metrics. With the test monitoring app, you can integrate tools like Jira, GitHub, and TestRail to:
- Get visibility into projects’ risks with metrics like average quality score
- Monitor test suite execution with summaries of passed, failed, and flaky tests
- Gauge test automation across different test suites
- Assess planned automation and overall health/hygiene of the test plans easily
The app eliminates the need to manually correlate test suites, build data, and tasks/tickets to assess team performance. Further, it helps you track if your quality testing has improved over a period; learn more here.
Early Warning System
Delivery leaders are often hard-pressed to meet frequently changing business requirements amidst development constraints. Meeting deadlines requires effective management of defects, tech debt, spillovers, scope instability, and more. Klera simplifies some of this work with an Early Warning System (EWS), which helps delivery leaders plan in advance for potential delays. The app helps you:
- Accurately track release status and delivery schedule variance
- Monitor variance in sprint velocities to spot potential productivity issues
- Gauge scope variance and its potential impact on delivery timelines and costs
Regular monitoring with EWS can help you make data-driven decisions to balance consistency and adaptability; learn more here.
If you are new to Klera, we recommend you to explore our community, which will help you connect with creative developers, business and data analysts, no-code enthusiasts, and more. You can join a group of your interest to share your learnings or find answers to technical issues and make the most of Klera’s no-code app development platform.