Business of DevOps
GitHub and PyPI Bet On Time to Slow Down Software Supply Chain Attacks
Tom Smith | | automated updates, CI/CD security, dependency cooldown, dependency pinning, dependency updates, devops security, GitHub Dependabot, lockfiles, malicious packages, open source security, package poisoning, package registry security, platform engineering, PyPi, Python Package Index, scoped access tokens, Software Supply Chain Security, supply chain attacksGitHub and PyPI are using time as a security control, delaying dependency updates and locking older releases against new file uploads ...
CodePen 2.0 Turns a Design Playground Into a Real Deployment Tool
Tom Smith | | browser coding, browser-based IDE, Cloud development environment, Cloud IDE, CodePen, CodePen 2.0, CodePen Projects, custom domains, developer tools, devops, file-based projects, front-end development, one-click deployment, production deployment, real-time collaboration, shadow infrastructure, version history, web developmentCodePen 2.0 transforms the front-end playground into a file-based development platform with collaboration, version history and one-click deployment ...
The End of Manual Triage
Neel Shah | | agentic SRE, AI-powered SRE, Aiden for SRE, alert enrichment, automated diagnosis, automated incident triage, Datadog Bits AI, distributed systems reliability, incident investigation, incident response automation, machine-assisted triage, manual incident triage, MTTR reduction, observability correlation, observability-first design, on-call engineering, operational context, progressive automation, root cause analysis, Rootly, SRE architecture, SRE automation, telemetry correlationWhy SRE teams are replacing manual incident triage with AI-assisted correlation, stronger observability and controlled agentic workflows ...
AI Agents Are Writing Your Infrastructure Code. Is Anyone Governing It?
Neel Shah | | agentic infrastructure, AI agent governance, AI coding assistants, AI-generated infrastructure, cloud misconfiguration, cloud security automation, continuous drift detection, devops security, IAM misconfiguration, infrastructure as code security, infrastructure compliance, infrastructure guardrails, Kubernetes security, platform engineering security, policy as code, RBAC for AI agents, secure-by-default platforms, SRE governance, StackGen Aiden, Terraform securityAI agents now generate infrastructure code at scale, but security pass rates are stuck at 55%. Here’s how teams can close the governance gap ...
Building SOC 2 Compliant CI/CD Pipelines on AWS with GitHub Actions
Artur Yolchyan | | Amazon ECR security, artifact traceability, AWS CI/CD pipeline, AWS compliance, AWS deployment pipeline, AWS multi-account architecture, CC6.1 access controls, CC7.1 vulnerability management, CC8.1 change management, container image promotion, cross-account ECR access, DevOps compliance, ECR lifecycle policies, ECR repository architecture, ECR scan on push, GitHub Actions OIDC, immutable artifacts, Secure software delivery, SOC 2 change management, SOC 2 CI/CDHow to design a secure, traceable AWS CI/CD pipeline using separate accounts, centralized ECR, OIDC and immutable image promotion for SOC 2 ...
From Reactive Monitoring to AI-Driven Operational Intelligence
Sneha Gullapalli | | AI observability, Amazon Q, Apache Iceberg, automated root cause analysis, AWS CloudWatch, AWS operations, CloudWatch Logs, DevOps observability, Distributed Tracing, Five Whys, GenAI observability, incident response, LLM monitoring, log lake, MTTR reduction, operational intelligence, proactive monitoring., RAG latency, S3 Tables, token usage monitoringTraditional monitoring often meant chasing alerts and toggling between dashboards after an issue had already impacted users. AWS CloudWatch — long the backbone of metrics, logs and traces on AWS — is ...
AI-Assisted Development Under Deadline: What It Takes to Ship Production Code on an Unfamiliar Stack
Ihor Riazantsev | | AI code risk, AI coding tools, AI-assisted development, AI-generated code, Claude Code, code consistency, code review, devops teams, engineering discipline, feature isolation, manual testing, memory leak debugging, Next.js development, production readiness, production validation, production-ready code, rapid feature delivery, React development, software architecture, software engineering judgment, technical debt, TypeScript development, unfamiliar codebaseHow Claude Code accelerated development on an unfamiliar stack while proving that production-ready AI-generated code still requires human judgment ...
When the Message Broker Becomes the Bottleneck: Scaling Push and SMS With MongoDB Polling
Pavel Zavialov | | asynchronous processing, atomic task claiming, backend engineering, database-backed queue, dead-letter queue, distributed systems, Go microservices, idempotency, , microservices architecture, MongoDB performance, MongoDB polling queue, notification architecture, notification service, push notifications, RabbitMQ scaling, retry strategy, Ruby monolith, SMS delivery, Wheely engineeringA back-end team extracted notification delivery from a large Ruby monolith into a centralized Go service, only to discover that their shared RabbitMQ cluster could not reliably support the new workload. Here's ...
New Copilot Dashboard Shows Enterprises Which Developers Are Actually Using AI — Not Just Who’s Logged In
GitHub's new Copilot dashboard shows enterprises which developers use AI deeply — turning adoption data into a real productivity business case ...
The Trust Graph: Why Infrastructure Diagrams No Longer Describe Modern Systems
Igboanugo David Ugochukwu | | AI agent security, CI/CD security, GitHub Actions security, IAM governance, identity security, machine identities, non-human identities, OAuth tokens, OIDC federation, platform engineering, reliability engineering, SaaS integrations, secrets sprawl, service accounts, Software Supply Chain, trust amplification, trust bottlenecks, trust cascades, trust graph, workload identityTraditional architecture diagrams miss the identity relationships that now drive breaches and outages. Platform teams need trust graphs that map who and what can act across modern systems ...
Signed, Attested, and Malicious: The Software Supply Chain Has a Deepfake Problem
Nigel Douglas | | AI coding agents, AntV packages, behavioural analysis, continuous scanning, dependency security, Developer Security, GitHub Actions compromise, malicious packages, Miasma worm, Mini Shai-Hulud, npm malware, OIDC tokens, open source security, package provenance, package quarantine, policy as code, Red Hat npm attack, registry scanning, Shai-Hulud worm, SLSA provenance, software attestation, Software Supply Chain Security, TanStack compromise, trusted pipeline attacksA developer pulls a package from a reliable repo. It is signed, has provenance, and has been scanned. And then…it contains malware. That is no longer hypothetical. When the Miasma worm tore ...
AI Moved the Bottleneck From Writing Code to Understanding and Trusting It
Ted Julian | | AI code generation, AI code security, AI coding tools, AI investment ROI, AI-generated code, application security, automated code review, code quality, code review, codebase visibility, compliance, dependency risk, developer productivity, devsecops, Engineering leadership, engineering metrics, engineering ROI, production incidents, pull request review, SCA, software composition analysis, software delivery, software development productivity, software governance, technical debtAI coding boosts velocity, but without stronger review, governance and codebase visibility, teams risk higher costs, security gaps and production failures. TL;DR ...
