Shantanu Das

Shan is a contributor at Aviator’s blog, where they cover developer experience tooling, CI/CD workflows, and engineering productivity trends. With a knack for breaking down complex tech topics into clear, actionable insights, Shan helps teams streamline developer workflows and ship high-quality software faster.

How High-Throughput Teams Merge Faster Using Parallel CI and Batch CI Runs

High-throughput engineering teams often hit merge delays because CI pipelines run in strict sequence. Parallel CI fixes this by running jobs concurrently, cutting down wall-clock time and giving faster feedback. Batch CI takes it further by grouping multiple pull requests into a single run, reducing redundant builds and surfacing conflicts earlier. Together, they transform CI from a bottleneck into a throughput engine, helping teams merge faster, with fewer conflicts and a smoother developer experience.
Shan is a contributor at Aviator’s blog, where they cover developer experience tooling, CI/CD workflows, and engineering productivity trends. With a knack for breaking down complex tech topics into clear, actionable insights, Shan helps teams streamline developer workflows and ship high-quality software faster.
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Shantanu Das

Shan is a contributor at Aviator’s blog, where they cover developer experience tooling, CI/CD workflows, and engineering productivity trends. With a knack for breaking down complex tech topics into clear, actionable insights, Shan helps teams streamline developer workflows and ship high-quality software faster.

How High-Throughput Teams Merge Faster Using Parallel CI and Batch CI Runs

Parallel CI and Batch CI banner

High-throughput engineering teams often hit merge delays because CI pipelines run in strict sequence. Parallel CI fixes this by running jobs concurrently, cutting down wall-clock time and giving faster feedback. Batch CI takes it further by grouping multiple pull requests into a single run, reducing redundant builds and surfacing conflicts earlier. Together, they transform CI from a bottleneck into a throughput engine, helping teams merge faster, with fewer conflicts and a smoother developer experience.

Top 8 KPIs for Release Management

kpis for release management

Release management ensures smooth software deployments with minimal disruptions. Tracking key KPIs like Deployment Frequency, Change Failure Rate (CFR), and MTTR helps teams improve efficiency, reduce downtime, and enhance stability. In this blog, we break down the top 8 KPIs that drive successful releases.

Monorepo vs Polyrepo: Which Repository Strategy is Right for Your Team?

Monorepo vs Polyrepo

Shifting from a monorepo to a polyrepo isn't just a matter of splitting code it's a rewrite of your entire developer workflow. Dependency boundaries, shared libraries, and tightly coupled CI/CD pipelines often make the transition painful. In this post, we explore when each model works best, why companies like Facebook and Netflix took different paths, and what to consider before making the switch.

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