Cortex
The Cortex Internal Developer Portal empowers engineering teams to easily access insights regarding their services, leading to the delivery of superior software products. With the use of scorecards, teams can prioritize their key focus areas like service quality, adherence to production standards, and migration processes. Additionally, Cortex's Service Catalog connects seamlessly with widely-used engineering tools, providing teams with a comprehensive understanding of their architectural landscape. This collaborative environment enhances the quality of services while promoting ownership and pride among team members. Furthermore, the Scaffolder feature enables developers to quickly set up new services using pre-designed templates crafted by their peers in under five minutes, significantly speeding up the development process. By streamlining these tasks, organizations can foster innovation and efficiency within their engineering departments.
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Jellyfish
Jellyfish stands as a premier platform for Engineering Management, offering comprehensive insights into engineering teams, their tasks, and operational processes. By examining engineering signals from tools like Git and Jira, along with relevant business data including roadmapping and incident response, Jellyfish empowers engineering leaders to synchronize their technical decisions with overarching business goals. This capability ensures timely and efficient software delivery while enabling teams to prioritize the most critical objectives for the organization. Ultimately, Jellyfish enhances strategic decision-making, leading to impactful outcomes for engineering departments. Additionally, the platform fosters a culture of transparency and accountability within teams, further driving productivity and alignment.
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LinearB
We integrate and reformulate data from Git, releases, and projects to deliver instantaneous insights into project progress and team performance without requiring any manual interventions from developers.
The Software Delivery Intelligence platform by LinearB meticulously examines numerous signals from your Git or project management systems every minute, pinpointing key areas for potential improvement within your team. This powerful tool is designed to enhance the speed of delivery for developers. It connects data from the development pipeline—including code, Git, projects, and CI/CD processes—to ensure that every team member enjoys increased visibility, context, and automated workflows, ultimately fostering a more efficient development environment. Additionally, this approach empowers teams to focus on their core tasks without the distraction of constant updates.
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GitView
GitView serves as a comprehensive analytics platform tailored for engineering leaders, consolidating all activities within your engineering team into a single, easy-to-navigate interface. This tool allows you to monitor code alterations, pull requests, and reviews seamlessly. By utilizing significant metrics, you can identify which code modifications yield the greatest impact on your projects. Intuitive graphs and tables provide clear insights into impact scores, categorizing changes as new contributions, slow developments, churn, legacy refactoring, or simple deletions. Additionally, it offers DORA metrics such as deployment frequency, lead times for changes, and failure rates. The visual representations of velocity, combined with a detailed breakdown of cycle times, enable you to pinpoint inefficiencies and enhance productivity. Users can filter data across teams, contributors, repositories, and various other parameters to tailor their insights. Our focus on transparency and customization allows you to understand the calculations behind each data point fully. Furthermore, the option to leverage Raw SQL empowers you to generate bespoke reports, dashboards, and automated emails, ensuring you have the precise insights needed for your decision-making processes. This level of flexibility and detail makes GitView an invaluable tool for any engineering organization aiming to optimize its workflow and performance.
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