InfoQ Homepage Agile Content on InfoQ
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Deterministic, Reproducible, Unsurprising Releases in the Serverless Era
Ixchel Ruiz explores good practices, tips and lessons learned to make a release to production without surprises.
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Optimizing for Fast Flow in Norway's Largest Bureaucracy
Audun Fauchald Strand and Truls Jørgensen describe how they have succeeded to align their teams by internal tech radar increasing communication between teams, and a weekly dive on a specific topic.
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Panel: Engineering Leadership Lessons for Improving Flow
The panelists discuss how to lead organizational change to improve velocity and quality.
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Observability for Speed & Flow
Jessica Kerr considers that we should be looking at the software as part of the team, and observability in the software becomes an asset to organizing teams.
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The Secret Strategy for Landing That Staff Engineer Role
Nicky Wrightson shares from her expertise having several different senior IC roles, to give insight into the possible routes of staff plus role, including what is needed to get a staff plus role.
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Hone Your Tools: Building Effective & Delightful Developer Experiences
Suhail Patel goes through Monzo’s early investment in Developer Tooling, showcasing Monzo’s deployment/release tooling which enables engineers to ship hundreds of times a day with confidence.
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Architecture for Flow with Wardley Mapping, DDD, and Team Topologies
Susanne Kaiser illustrates the concepts of DDD, Wardley Mapping and Team Topologies, and demonstrates how these techniques help to evolve a fictitious legacy system for a fast flow of change.
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Creating an Atmosphere of Psychological Safety
Tim Berglund discusses creating an atmosphere of psychological safety for a team and the impact it can have.
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Analyzing Codebases for Fun and Profit
Jordan Bragg discusses using entry-points, breadth-first scanning, and operation tagging to demystify the domain, see where to dive deeper, and uncover what technical debt may exist.
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Understanding JIT Optimizations by Decompilation
Chris Seaton shows how they have developed a pseudo-code decompiler for optimized Java code, and how it helps them understand how the Java JIT compiler is working in order to improve their code.
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Scaling the North Star of Developer Experience
Phillipa Avery discusses learnings from the back-end and product engineering perspective, gained while Netflix has grown from hundreds to thousands of engineers.
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Protecting User Data via Extensions on Metadata Management Tooling
Alyssa Ransbury overviews the current state of metadata management tooling, and details how Square implemented security on its data.