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Software development metrics: how dashboards drive performance and security
Engineering Metrics

Software development metrics: how dashboards drive performance and security

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Oct 16, 2024
Engineering Metrics

A great way to understand your team’s performance, processes, and tools is with a well-structured software development metrics dashboard. This serves as your command center, offering insights into metrics that help drive efficiency and quality. But, with so many things to keep track of, how do you know what to focus on?

What is a software development metrics dashboard?

A software development metrics dashboard shows key metrics throughout the development lifecycle. This provides a real-time view of performance metrics, progress, and areas that need attention. The right dashboard can provide a clear overview, whether you're evaluating productivity, deployment speed, or software quality. This kind of visibility helps developers and managers make more informed decisions and helps platform engineers prioritize portal capabilities that solve the most critical gaps.

Making better data-based decisions is always a good practice. Peter Drucker talked about the importance of measuring data when he said, "You can’t manage what you can’t measure." Without clear metrics, developers can lose focus and get pulled in various directions. And, if a company doesn't measure and improve, it may fall behind when its competitors deliver better quality and faster results. Measuring your performance, visualizing it, and making informed decisions leads to actions based on real insights.

Why you need a software development metrics dashboard

Software development is a fast-moving process with many moving parts. It usually involves multiple stakeholders, teams, and tools. Without a system to monitor performance, inefficiencies can easily go unnoticed. At its core, a metrics dashboard provides:

  • Real-time visibility into the status of your projects, allowing for real-time adjustments
  • Better communication between developers, managers, and stakeholders using visualizations and metrics
  • Tracking progress toward goals and adherence to timelines
  • Data-driven decision-making that helps you prioritize your work and resource allocation

A metrics dashboard is critical for improving team performance and project success. A key part of this system is the internal developer portal, which captures and displays important metrics. This portal gives development teams the visibility and data they need to make informed decisions, improving their efficiency and effectiveness.

The internal developer portal is a central hub for metrics and dashboards, providing essential insights that simplify decision-making. With the portal, developers and stakeholders can access real-time data to track progress and spot areas needing improvement. The portal increases collaboration by centralizing metrics and ensuring everyone works toward the same goals. For example, metrics like Change Failure Rate are improved, highlighting the portal's role in enhancing efficiency. Additionally, scorecards allow the portal to integrate quality checks, addressing issues early and keeping them from reaching production.

The developer portal plays a key role in advancing business goals by identifying gaps through data such as surveys, tracking improvements, and spotting potential downturns. These insights help guide the team toward achieving business targets. A well-executed portal can show notable drops in the Change Failure Rate, which affects project quality and timelines. Enforcing quality checks with scorecards ensures problems are resolved early in the development cycle.

Platform engineers are pivotal in using the dashboard to make smart decisions about adding new components to the portal. They evaluate metrics to enhance platform performance, ensuring development activities align with strategic goals. Their understanding of dashboard data helps identify technical improvements and prioritize focus areas for initiatives.

Over time, a great dashboard becomes your team's control center, helping you make informed decisions to keep projects on track.

Key dashboards for effective problem-solving

In software management, one dashboard isn’t enough to meet all needs. Different departments and people in your organization require tailored dashboards. Looking at the right data provides a complete view of team performance, security, and progress. These dashboards offer real-time insights, helping leaders make informed decisions and solve problems.

Next, we’ll look at four types of dashboards, each serving a different purpose.

1. Delivery performance dashboard (DORA metrics)

Screenshot of a delivery performance dashboard in the Port live demo. The dashboard displays DORA Metrics based on PR data from GitHub.

A delivery performance dashboard is important for understanding how efficiently code is delivered and how quickly teams respond to challenges. The DORA metrics—deployment frequency, lead time for changes, change failure rate, and mean time to recovery (MTTR)—are industry standards for recognizing high-performing software delivery processes.

Teams can boost their agility and quality by visualizing DORA metrics leading to more frequent deployments, quicker incident recovery, and fewer failures. teams can improve these metrics through centralized data visibility, automation, and actionable insights. Port enables teams to track DORA metrics in real time, identify workflow bottlenecks, and implement process improvements. This centralized approach ensures that engineering teams are aligned with best practices, leading to faster development cycles, more stable releases, and improved incident management.

2. Standards and governance dashboard

Screenshot of a standards and governance dashboard in the Port live demo. The dashboard displays the average pull requests (PR) merged per month, a line chart of PRs last month, the mean time to merge measured in days, and a line chart of the average time to merge.

A standards and governance dashboard tracks and enforces team working agreements, compliance metrics, and best practices. By integrating these metrics into a dashboard, teams can check that they adhere to coding standards, security protocols, and operational policies. This dashboard makes sure that team agreements—like code review protocols or deployment standards—are transparent and consistently followed, reducing the risk of non-compliance and accumulating technical debt.

The dashboard empowers team leads and developers by automating the tracking of these agreements and providing actionable insights through specific metrics. For leaders, it offers visibility into team performance and adherence to organizational policies, while developers benefit from clear guidance on what is expected regarding collaboration and code quality. This proactive governance approach helps create a culture of accountability, making it easier to maintain high standards, align with long-term business goals, and improve overall engineering efficiency.

3. Security dashboard

Screenshot of a security dashboard in the Port live demo. The dashboard displays a services scorecard, Snyk vulnerabilities by severity, and Dependabot alerts by severity.

Provide engineering teams with real-time insights into key security metrics such as vulnerability detection, patch compliance, and incident response times. By centralizing security data in one place, the portal enables teams to streamline their security monitoring and quickly identify potential risks. With detailed tracking of open vulnerabilities and patch management across services, the dashboard empowers teams to take immediate action, reducing the likelihood of security incidents escalating into critical threats.

The portal acts as a facilitator of these metrics and dashboards, ensuring that relevant data is automatically aggregated and accessible to both developers and security leaders. Customizable to specific roles, the dashboard allows team leads to focus on day-to-day security tasks, while executives can monitor overall security health and compliance trends. This role-based approach, paired with Port's comprehensive data aggregation, helps organizations proactively manage their security posture, ensuring alignment with long-term business objectives and regulatory requirements.

4. Initiative and project tracking dashboard

Screenshot of an initiative and project tracking dashboard in the Port live demo. The dashboard displays an initiative page that was created to drive developers to make certain changes to ensure standards compliance (in this case implementing SonarQube).

For long-term projects and key engineering initiatives, an initiative and project tracking dashboard is essential. It provides real-time insights into task completion, milestone progress, and resource allocation—helping teams manage workloads and align their efforts with business objectives.

Initiatives tracking is a great way for managers to promote their areas of focus. For example, as a manager, I want every microservice to have Sonar in place by x. Dashboards help you keep track of the progress as well as take action like extending TTL for a particular team / assign a service with sonar.

Team leads can stay updated on daily project developments, while executives can assess the status of larger initiatives and adjust resources as needed. This type of dashboard helps maintain project momentum, ensuring successful outcomes on time and within budget.

Specialized dashboards help engineering teams continuously improve and stay competitive. Real-time insights enable quicker, more informed decisions, keeping teams efficient and focused on their goals.

Building the best software development metrics dashboards

Building a winning software development metrics dashboard is about more than just tracking numbers. It’s about giving your team the right tools to make informed decisions that help them “reduce the noise.”. A well-designed dashboard helps teams focus on what matters most, giving clarity and prioritizing actions.

1. Prioritize actionable metrics

There are a LOT of metrics to choose from, and it’s easy to feel overwhelmed. The key is to focus on metrics that align with your business goals and provide actionable insights. For instance, if your goal is to reduce downtime, focus on metrics like Mean Time to Recovery (MTTR) and change failure rate. As W. Edwards Deming said, “Data are not taken for museum purposes; they are taken as a basis for doing something.” Data should drive action, decisions, and continuous improvement.

2. Use clear visualizations

Your dashboard should make data easy to understand for everyone on the team. Visuals like bar graphs, pie charts, and trend lines show progress (or decline) and help clarify what actions need to be taken.

3. Tailor experiences for different stakeholders

Not everyone needs to see the same thing. Developers might care more about pull request throughput and code churn, and managers might focus on lead time and deployment frequency. Make sure your dashboards can be customized to meet the needs of these different team members.

4. Automate data collection

Manually tracking metrics takes an eternity and is prone to errors. Automating data collection means your dashboard is always up-to-date and accurately reflects your team’s performance. This also reduces the time needed to present new projects or make the case for priority changes.

5. Encourage continuous improvement

Your dashboard shouldn’t just display metrics—it should drive action. When a metric signals a problem, do what you can to make sure your team has clear steps to address it. Work to develop a culture of continuous improvement by regularly reviewing metrics and finding ways to boost performance.

6. Ensure the dashboard answers key questions

A dashboard should help answer important questions, not just present data for data’s sake. Make sure the provided insights guide decision-making and align with industry standards. This helps turn your dashboard into a must-use tool for identifying trends and driving improvements. Learn more about setting up insights in Port’s guide on Introducing Insights.

7. Take a product management approach

Treat your dashboard like a product by constantly improving it based on user feedback. Focus on what adds the most value, and then iterate the dashboard as your team’s needs change. For more on using a product management mindset, check out Port's blog on leveraging product management strategies.

Conclusion

A well-designed software development metrics dashboard is a valuable tool for improving team performance, making better decisions, and enhancing security. By focusing on the right metrics, teams can simplify workflows, spot bottlenecks, and stay aligned with business goals. Whether it's tracking delivery, security, or compliance, dashboards give real-time insights that help teams stay efficient and responsive. As you refine your dashboard, prioritize actionable metrics, use clear visuals, and promote continuous improvement. Your dashboard becomes a key asset for driving performance and innovation with the right approach.

Internal developer portal helps with: 

  • Uncovering actionable insights and identifying opportunities for improvement
  • Prioritizing action plans and aligning your team around shared goals
  • Tracking key goals, progress, ROI, and optimizing flows

Interested in seeing how an integrated metrics dashboard can improve your team's performance? Find out more about Port’s Insights and check out the live demo of Port's internal developer portal to see how we help teams optimize their development processes and track the metrics that matter to them.

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{{tabel-1}}

Microservices SDLC

  • Scaffold a new microservice

  • Deploy (canary or blue-green)

  • Feature flagging

  • Revert

  • Lock deployments

  • Add Secret

  • Force merge pull request (skip tests on crises)

  • Add environment variable to service

  • Add IaC to the service

  • Upgrade package version

Development environments

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  • Invite developer to the environment

  • Extend TTL by 3 days

Cloud resources

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  • Modify a cloud resource

  • Get permissions to access cloud resource

SRE actions

  • Update pod count

  • Update auto-scaling group

  • Execute incident response runbook automation

Data Engineering

  • Add / Remove / Update Column to table

  • Run Airflow DAG

  • Duplicate table

Backoffice

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  • Update customer software version

  • Upgrade - Downgrade plan tier

  • Create - Delete customer

Machine learning actions

  • Train model

  • Pre-process dataset

  • Deploy

  • A/B testing traffic route

  • Revert

  • Spin up remote Jupyter notebook

{{tabel-2}}

Engineering tools

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  • Tasks management

  • CI/CD

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  • DevSecOps

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