A Systematic 60-Second Linux Performance Troubleshooting Guide for Production Servers

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A structured workflow for diagnosing Linux performance issues on production systems covers nine key commands — including uptime, dmesg, vmstat, and iostat — designed to identify the troubled subsystem within 60 seconds. The approach works across bare-metal servers, virtual machines, and container hosts, making it broadly applicable for on-call engineers. After the initial checklist, deeper analysis tools such as perf, flamegraphs, blktrace, and tcpdump help pinpoint root causes in CPU, memory, disk I/O, and network layers. A decision tree is also provided to help engineers select the right diagnostic tool based on the symptom observed. Saving the commands as a shell script or alias is recommended so the checklist is immediately available on any newly provisioned server.

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Senior Engineer Proposes Structured 'Skill Review' Framework for AI Agent Workflows

A senior software engineer and tech lead has outlined a five-dimension framework for reviewing AI agent skills before stress testing, arguing that current review practices are insufficient. The framework addresses a gap between stress tests, which check if a skill works when called, and skill reviews, which assess whether a skill is ready across all contexts its description implies. The proposed checklist covers routing signals, output contracts, methodology generalisability, and explicit failure behaviour, among other dimensions. The author credits Dan Shapiro's 'Five Levels' model and AI strategist Nate B. Jones as the conceptual foundations for the approach. The piece is part of an ongoing public learning log called 'The Level 5 Engineer,' documenting one practitioner's progression toward advanced AI-assisted software development.

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ProgrammingDEV Community ·

AWS S3 Deep Dive: Encryption, Bucket Policies, Access Control and CLI Explained

A detailed technical guide covering Amazon S3 has been published as part of an ongoing AWS learning series aimed at professionals transitioning into cloud and DevOps roles. The resource explores core S3 concepts including storage classes, versioning, object structure, and encryption methods such as SSE-S3, SSE-KMS, SSE-C, and client-side encryption. It also covers access control mechanisms including bucket policies, ACLs, and explicit deny rules, which are commonly tested in AWS certification exams and DevOps interviews. The guide explains foundational AWS concepts like JSON and YAML syntax, API calls, and infrastructure-as-code practices that underpin S3 configuration in real-world organizations. Practical sections include S3 CLI commands, Python integration via boto3, and hands-on tasks designed to reinforce certification and interview readiness.

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ProgrammingDEV Community ·

One Developer's Practical Roadmap for Skill-Building in 2026

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ProgrammingDEV Community ·

Scaling Engineering Teams: Why Cross-Team Alignment Needs a 'Boule' Model

Software engineering teams face a coordination problem when multiple squads must align on shared decisions without collapsing into unproductive large-group meetings. The author argues that neither LeSS nor SAFe fully addresses the root issue, which is ownership rather than room size. Drawing on ancient Athenian governance, the piece proposes a 'Boule'-style cross-team session where each team sends two representatives, reducing single-point-of-failure risk and surfacing unresolved internal disagreements early. A product manager scopes what is and is not on the table, keeping the session focused. The model treats alignment and accountability as distinct: the cross-team session produces shared direction, but each individual team retains ownership of what it ultimately ships.

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