devops
devops on Beyond Market Intelligence: a running collection of 17 stories we have gathered and hand-picked because they are worth your time. Every post here touches on devops in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around devops, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Copilot Code Review Reaches Azure Repos, Billed Per Review with Reporting Two Days Behind
Microsoft now extends GitHub Copilot’s code review capabilities to Azure Repos, recognizing the need for flexibility within the Azure DevOps ecosystem. This expansion allows all Azure DevOps customers to leverage AI-powered code analysis without requiring a migration to GitHub. Reviews are billed per use via your Azure subscription, with cost visibility appearing in Cost Management approximately 48 hours later. Budget alerts will notify you of spending, and organizations are limited to five concurrent reviews.
Sequoia-incubated Empirik launches with $21M to predict outages before they happen
Empirik, a Sequoia-incubated startup, emerges with $21 million in funding to redefine IT infrastructure management. Their mission: predict outages before they impact operations, mirroring Cursor's transformative approach to software engineering. This innovative platform empowers teams to proactively address potential issues, minimizing downtime and maximizing efficiency. Empirik’s predictive capabilities represent a significant advancement in data-driven infrastructure oversight. For deeper insights into related data trends, explore our article on "A group funded by Andreessen, Horowitz, and Brockman plans data center ads to sway midterms."
HCP Terraform Positions Itself as the Control Plane for AI-Driven Infrastructure
HashiCorp is redefining infrastructure management, positioning HCP Terraform as the essential control plane for the AI era. The rapid rise of coding agents shifts the core challenge: not *how* to write infrastructure code, but how to reliably verify and execute it safely. This represents a fundamental evolution, demanding robust governance. Explore how HCP Terraform addresses this critical need, ensuring AI-driven infrastructure remains secure and compliant. For deeper insights into the broader AI landscape, see our article on "OpenClaw 2.
Article: Rightsizing Platform Engineering: Building the Platform Your Organization Actually Needs
Shift-left and DevOps practices, while valuable, have inadvertently increased cognitive load and duplicated effort within engineering workflows. This article, "Rightsizing Platform Engineering," addresses the critical need to build developer platforms that genuinely meet organizational needs, reducing complexity and accelerating change delivery. John Keates explores the practical challenges and cultural considerations essential for success. For deeper insights into related workflows, see "Spec-Driven Development with Claude Code" and discover potential pitfalls in specification design.
Presentation: Prompt to Prod: Engineering an Autonomous SDLC at Scale
Unlock scalable, autonomous software development with "Prompt to Prod," a presentation by Andrew Swerdlow detailing Roblox's journey to trusted, automated deployments. Swerdlow explores critical elements: secure sandboxes, leveraging code review exemplars for knowledge capture, infrastructure evolution, and redefined productivity metrics centered on feature velocity and AI-powered workflows. Learn how to achieve robust automation at scale—a vital shift in modern engineering. For further insight into evolving software practices, explore "Podcast: The Human Edge" and discover the value of mob programming.
Podcast: Cloud and DevOps InfoQ Trends Report 2026: AI, Resilience, Platforms, FinOps, and Sovereignty
The InfoQ editorial staff presents the Cloud and DevOps InfoQ Trends Report 2026, a vital overview of key developments shaping the future of cloud and DevOps. This podcast episode features a candid discussion among InfoQ contributors—Daniel Bryant, Matt Saunders, Shweta Vohra, Steef-Jan Wiggers, and Mark Silvester—exploring AI's impact, resilience strategies, platform evolution, FinOps best practices, and data sovereignty concerns. Gain actionable insights from expert practitioners and discover what to prioritize in the coming year.
How Pinterest Secures AWS Infrastructure at Scale with a Centralized Terraform Pipeline
Pinterest manages its expansive AWS infrastructure with a sophisticated, centralized approach. Recently, they unveiled the Resource Provisioner Pipeline (RPP), a custom Terraform execution engine designed for secure, scalable resource provisioning. The RPP enforces least-privilege access and mandates dual-control reviews, adding critical guardrails to GitHub Actions workflows. This architecture ensures stringent security protocols as Pinterest continues to scale. For further insight into automation strategies, explore “Stripe Uses Graph Search and State Machines to Automate Database Remediation.”
Cloudflare Launches Persistent, Stateful, Computer-like Environments for Agents
Cloudflare is redefining the landscape for AI agents with Cloudflare Computer, a new open-source runtime providing a more persistent and stateful environment—essentially, a digital "computer"—instead of fleeting containers. Built upon Cloudflare Isolates for rapid serverless execution, Computer promises significant cost reductions, speed improvements, and enhanced scalability for AI workflows. This innovative approach addresses a critical need as AI increasingly transforms incident response, as explored in our recent article on AI's impact on engineering teams.
AI Is Transforming Incident Response - but the Hardest Problems May Still Belong to Humans
AI is rapidly transforming incident response for engineering teams, offering unprecedented capabilities like channel summarization, code analysis, and automated remediation. While AI assists with diagnosis and generates pull requests, the most challenging incident problems often still require human expertise. Discover how AI can empower your team's response, but recognize the continued importance of critical thinking and domain knowledge. For deeper insights into the skills needed to effectively leverage AI tools, explore our article, "Top 10 Skills for Claude Code and Codex CLI."
Article: InfoQ Culture and Methods Trends Report - 2026
The InfoQ Culture and Methods Trends Report – 2026, compiled by Shane Hastie and the InfoQ editorial team, synthesizes key shifts in software development culture and practices as we see them unfolding. This report offers a concise overview of emergent trends, providing valuable insights for engineering leaders and practitioners navigating the evolving landscape. Discover actionable takeaways and anticipate future needs within your organization. For deeper exploration of essential tools supporting this evolution, see our related article, "The Minimal AI Engineer Toolkit for 2026."
Presentation: Microservices Platforms: When Team Topologies Meets Microservices Patterns
Accelerate your microservices delivery with a strategic blend of Team Topologies and proven patterns. Chris Richardson’s presentation explores how internal platforms, built around six key areas—security, observability, build, and deployment—can minimize cognitive load for development teams. Richardson shares practical strategies to avoid common platform engineering challenges and maximize efficiency. Discover how to empower stream-aligned teams and unlock faster innovation. For a deeper dive into the broader context, see our related article, "Platform Engineering Maturity Emerges as a Key Differentiator for Enterprise AI Success."
Instacart's CTO says AI made the company stop worrying about tech debt
Instacart’s CTO, Anirban Kundu, has declared the company’s shift to AI has effectively eliminated concerns about technical debt. Kundu argues that engineers should focus on higher-level problem-solving, while AI agents handle the majority of code generation—now accounting for 97% of Instacart's development work. This transformative approach allows for rapid iteration and automatic rebuilding, mirroring strategies used in assembly code development.
Article: The Hard-Stop Rule: From 3 HCM Monoliths to 120 Domain Microservices
For five years, a payroll and HR software team achieved a remarkable transformation: dismantling three monolithic systems into over 120 domain microservices—all without a dedicated migration budget. This pull-based approach, detailed in Prashanth Pasham’s article "The Hard-Stop Rule," prioritized building new features as independent services, sidestepping legacy modifications. Discover the tools, strategies, and challenges encountered during this ambitious rebuild, and learn how costs were effectively managed. For further insight into AI's evolving role, explore "Microsoft launches AI cybersecurity model," also available on our site.
CICD / KAFKA / KUBERNETES / Interview questions (MLE) [R]
Preparing for a Machine Learning Engineer interview focused on live streaming deployments? Your friend should prioritize questions around CI/CD pipelines, Kafka for data streaming, and Kubernetes for orchestration. Expect deep dives into topics like schema management, fault tolerance, and scaling strategies within these systems. Understanding how to debug deployment issues and monitor performance in a live environment is also key. For a more detailed look at building end-to-end ML platforms, see our recent article, "Recent project I worked on: End to End Edge ML platform."
MCP just got its biggest update ever — here’s what changes for AI agents
The Model Context Protocol (MCP), the connective tissue enabling AI agents to interact with software, has undergone its most significant update yet. This sweeping architectural revision, spearheaded by the Agentic AI Foundation (AAIF), a Linux Foundation initiative, introduces a fully stateless architecture, enhanced authentication, and formalized deprecation policies. This unlocks enterprise-grade scalability, allowing organizations to leverage AI agents with greater efficiency and security – a critical step toward wider adoption.
Achieving Compliance as a Platform Engineering Team by Helping Developers
Platform engineering teams face a critical challenge: achieving compliance without hindering developer productivity. Early attempts relying on forced workflows often backfire, diminishing developer experience. Ben Linders’ article details a successful strategy prioritizing simplification, incremental rollout, and clear communication through prevention, detection, and ongoing feedback. Empathy and a shared purpose proved vital for adoption. For deeper insights into the broader AI landscape supporting these efforts, explore “Google justifies its massive AI spending with a booming cloud business.”
GitLab Brings Carbon Awareness to CI/CD to Measure the Environmental Cost of Software Delivery
GitLab is pioneering a new era of Green DevOps with the introduction of carbon awareness within its CI/CD pipelines. Now, software engineering teams can directly measure the environmental cost associated with their delivery processes, fostering more sustainable development practices. This innovative approach allows for data-driven optimization, minimizing emissions without sacrificing speed or efficiency. Explore how GitLab empowers you to build responsibly – a critical step toward a future-focused approach to software development, as further detailed in our recent article, "GitLab 19.