LinearB
Waydev
Swarmia
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LinearB Azure DevOpsLinearB is recommended for software development teams, engineering managers, and project managers who want to improve visibility into their development processes, reduce cycle times, and boost overall productivity. It's particularly useful for teams that rely on agile methodologies and need to continuously monitor and improve their workflow efficiency.
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Based on our record, Azure DevOps should be more popular than LinearB. It has been mentiond 105 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
LinearB is an engineering productivity platform that provides visibility into developer workflows, automation, and process metrics. It collects data across the entire development lifecycle to diagnose blockers and optimize delivery. One user reports saving 321 developer-hours per month. - Source: dev.to / about 2 months ago
Most tools measure half the picture. Traditional metrics platforms like LinearB focus on quantitative signals (DORA metrics, cycle time). Survey platforms like Culture Amp capture sentiment across organizations but aren't developer-specific. DX (founded by DORA/SPACE research creators) combines developer surveys with SDLC analytics. These approaches require deliberate implementation and buy-in. - Source: dev.to / 6 months ago
LinearB is a SaaS solution that retrieves metrics overtime, some of them being used to calculate DORA Metrics. They also have a Youtube channel that advocate for DORA Metrics and more. - Source: dev.to / over 2 years ago
In helping engineering orgs get visibility into developer workflows with LinearB, Dan Lines and Ori Keren discovered that the majority of cycle time was being spent in pull request and code review. They found that:. - Source: dev.to / almost 3 years ago
LinearB and there are a few cheaper alternatives. Ties in DORA metrics from gut repos and agile project management tools like JIRA. https://linearb.io. Source: about 3 years ago
The pattern runs on Azure DevOps, Azure Functions, and Azure OpenAI via AI Foundry. No preview program required โ these are all generally available services. The full implementation walkthrough, including the ChatCompletionsClient setup and the webhook-to-function wiring, is in the Microsoft Tech Community post. - Source: dev.to / about 2 months ago
I also highly recommend Git and Azure DevOps for continuous delivery. - Source: dev.to / 8 months ago
CI/CD can take different forms. You might see it running through GitHub Actions, GitLab Pipelines, Azure DevOps, or AWS CodePipeline. In each case, the goal is to make deployments consistent, fast, and safe. - Source: dev.to / 9 months ago
CI/CD on Azure means using Azure DevOps (or GitHub Actions, also supported by Azure) to automate the software lifecycle. - Source: dev.to / 10 months ago
Azure DevOps is Microsoftโs integrated suite (Azure Repos for Git, Azure Boards for work tracking, Azure Pipelines for CI/CD, etc.) that many enterprises adopt to manage their software development lifecycle. - Source: dev.to / 11 months ago
Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
Swarmia - Swarmia is an engineering productivity software trusted by 600+ engineering teams worldwide. Use key engineering metrics to unblock the flow, align engineering with business objectives, and drive continuous improvement.
CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.
GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.
Travis CI - Simple, flexible, trustworthy CI/CD tools. Join hundreds of thousands who define tests and deployments in minutes, then scale up simply with parallel or multi-environment builds using Travis CIโs precision syntaxโall with the developer in mind.
