250 articles · page 1 of 5
Platform Engineering, Tuesday, November 3rd, 2026
Lucid Motors cut Kubernetes cluster provisioning from weeks to hours by replacing ticket queues with a GitOps-based paved path.
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The New Stack, Monday, October 26th, 2026
AI and agentic workloads are reshaping Kubernetes operations, and a new HPE-backed ebook offers a readiness checklist for 2027.
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InfoQ, Friday, October 23rd, 2026
Monzo's Suhail Patel explains how an opinionated internal platform lets engineers and LLMs ship safely hundreds of times a day.
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PlatformEngineering.com, Friday, October 23rd, 2026
A practitioner describes replacing ticket-driven, per-person cloud permissions with role-based groups defined in Terraform.
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PlatformEngineering.com, Monday, October 19th, 2026
Google has set no cutoff for service-account agents, but every agent deployed on one now is a manual migration later.
more → PlatformEngineering.com, Monday, October 19th, 2026
Users without contributors can mean a platform is working; give clear extension points, visible roadmaps and funded maintenance.
more → PlatformEngineering.com, Monday, October 19th, 2026
A ransomware affiliate used MCP as a live attack channel; platform teams need MCP inventories, default-deny tooling, sandboxing and logging.
more → PlatformEngineering.com, Wednesday, October 14th, 2026
Shared platforms need one accountable owner per service and an incident commander separate from root-cause investigation.
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Open Source For You, Wednesday, October 14th, 2026
Applying platform engineering and AI to RF and antenna design speeds simulation and validation as networks head toward 6G.
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Open Source For You, Tuesday, October 13th, 2026
LLM features break platform assumptions on quality, cost and trust; a model gateway is the one place to enforce controls.
more → Platform Engineering, Monday, October 12th, 2026
Which parts of Uber's MCP gateway governance model translate to platform teams running 10 to 100 MCP servers.
more → The New Stack, Monday, October 12th, 2026
Survey of 379 platform professionals finds teams that build platform features from scratch meet fewer goals and lack strategy.
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Platform Engineering, Monday, October 12th, 2026
When a single AI agent beats a multi-agent team for platform operations work, and how to benchmark the two.
more → PlatformEngineering.com, Friday, October 9th, 2026
Fast IaC provisioning doesn't guarantee test environments behave like production; data, traffic and drift matter.
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PlatformEngineering.com, Friday, October 9th, 2026
Platforms should offer self-service performance tests with realistic workloads, baselines and clear release gates.
more → Platform Engineering, Wednesday, October 7th, 2026
Platform teams should treat telecom as a product with a stable internal contract and explicit lifecycle states to absorb carrier quirks.
more → PlatformEngineering.com, Tuesday, October 6th, 2026
Golden-path templates that reuse broad credentials create a single point of compromise; here is how to fix it.
more → Platform Engineering, Tuesday, October 6th, 2026
Platforms built for predictable workflows must evolve for AI agents, adding state management, cognitive observability and governance.
more → Platform Engineering, Tuesday, October 6th, 2026
Legacy platform sprawl survives on tribal knowledge AI agents lack, so teams should make decommissioning part of 'done.'
more → Platform Engineering, Monday, October 5th, 2026
Good platform work is invisible to users, which skews budgets and careers toward incident response over prevention.
more → InfoQ, Monday, October 5th, 2026
A team cut production LLM hallucinations from 15% to 1.5% with platform controls like retry loops and intent gates, not a new model.
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PlatformEngineering.com, Friday, October 2nd, 2026
Platforms can look healthy while workloads fail because identity and trust relationships drift, so trust needs reconciling too.
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Platform Engineering, Monday, September 28th, 2026
Platform teams can automate objective AI governance controls but still need human review for high-risk decisions.
more → Platform Engineering, Thursday, September 24th, 2026
Platform Engineering proposes 'harness engineering' as a governance framework for autonomous AI agents.
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Platform Engineering, Wednesday, September 23rd, 2026
Platform engineering solved infrastructure ownership but left data quality accountability undefined, requiring declarative data contracts.
more → Platform Engineering, Tuesday, September 22nd, 2026
Engineering leaders should treat AI spend as a predictable budget line judged by value delivered, not just consumption.
more → Platform Engineering, Tuesday, September 22nd, 2026
Wide telemetry coverage doesn't equal useful observability; platform teams need shared conventions and AI-aware metrics.
more → Platform Engineering, Tuesday, September 22nd, 2026
An engineering manager details how his team cut CI pipeline time from an hour to 22 minutes while growing test coverage 90%.
more → Platform Engineering, Monday, September 21st, 2026
A survey gap - 86% confident they can govern AI-assisted changes, only 30% have a written policy - shows slowness used to be governance.
more → Platform Engineering 2.0 Ep 3, Tuesday, September 15th, 2026
Platform Engineering 2.0 expands beyond developers to serve multiple personas including AI agents.
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Platform Engineering, Monday, September 14th, 2026
Large organizations should treat quality engineering as a shared platform rather than per-team projects.
more → Platform Engineering, Thursday, September 10th, 2026
Alan Shimel argues model access, agent identity, governance and cost controls belong in the internal developer platform.
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Platform Engineering, Tuesday, September 8th, 2026
Broadcom's Pankaj Gupta tells Alan Shimel that AI workloads, AI agents and autonomy define Platform Engineering 2.0.
more → InfoQ, Tuesday, September 8th, 2026
An InfoQ roundtable discusses how platform teams are adapting to support AI-assisted engineering, tooling and guardrails.
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CNCF, Friday, September 4th, 2026
Fairwinds CTO argues AI workloads turn mature Kubernetes into an unfamiliar operations discipline all over again.
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CNCF, Friday, September 4th, 2026
Optimizing only the GPU misses the point: AI pipelines are CPU, memory, storage and network problems too.
more → Platform Engineering, Wednesday, September 2nd, 2026
Platform Engineering Needs Better Measures of Productivity
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CNCF, Tuesday, September 1st, 2026
Most platform teams mistake standardized tooling for real self-service, and stall at interface maturity Level 2.
more → Platform Engineering, Monday, August 31st, 2026
Platform Engineering and the Challenge of Tribal Knowledge
more → Platform Engineering, Monday, August 24th, 2026
Agent chains ratchet permissions upward because credentials lack built-in attenuation; platforms must enforce it.
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Platform Engineering, Thursday, August 20th, 2026
Autonomous agents need overlay networking for stable connectivity across distributed endpoints and NAT.
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Analytics Insight, Monday, August 17th, 2026
Platform-led IoT engineering speeds delivery and cuts cost by reusing standardized capabilities.
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TechTarget, Tuesday, August 19th, 2025
Agentic platforms consolidate security, FinOps, and AI into unified enterprise infrastructure.
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TechTarget, Tuesday, August 19th, 2025
Developer trust, not platform adoption, determines whether platform engineering investments deliver productivity gains.
more → Platform Engineering, Friday, August 7th, 2026
Platform engineering must evolve to support AI agents as active users while maintaining governance and safety.
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The Register, Thursday, August 6th, 2026
Platform engineering must extend beyond container workloads to support AI agents, GPUs, and cost controls.
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Platform Engineering, Wednesday, August 5th, 2026
Organizations now manage 109 machine identities per human, forcing platform teams to treat identity as core infrastructure.
more → The New Stack, Tuesday, August 4th, 2026
An examination of the real financial and operational cost of building an internal developer platform.
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InfoQ, Tuesday, August 4th, 2026
Mature platform engineering practices significantly boost AI adoption success and organizational trust in AI.
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Platform Engineering, Friday, July 31st, 2026
Internal developer platforms fail because they prioritize infrastructure elegance over user needs and lack product discipline.
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