250 articles · page 2 of 5
Platform Engineering, Friday, July 31st, 2026
Platform legibility and developer experience are emerging as reliability metrics that matter more than traditional infrastructure measures.
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Platform Engineering, Thursday, July 30th, 2026
Framework for implementing selective human approval checkpoints in AI agent workflows to balance autonomy with safety.
more → Platform Engineering, Tuesday, July 28th, 2026
AI agents require comprehensive platform governance beyond sandboxes to safely manage autonomous workloads.
more → Platform Engineering, Friday, July 24th, 2026
Developer workarounds undermine internal platforms by creating security gaps and fragmented shadow infrastructure.
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Platform Engineering, Tuesday, July 21st, 2026
Golden paths standardize delivery through self-service workflows that prioritize speed over restrictive mandates.
more → InfoQ, Monday, July 20th, 2026
Platform engineering success depends on people, culture and process rather than technology choices.
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Platform Engineering, Monday, July 20th, 2026
Platform ROI is now measured by business outcomes such as cost reduction and delivery speed, not just developer sentiment.
more → The New Stack, Saturday, July 18th, 2026
AI coding agents turn environment requests into traffic, so platform teams must serve environments rather than provision them.
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Platform Engineering, Friday, July 17th, 2026
Broadcom's Pankaj Gupta outlines Platform Engineering 2.0 as an operating framework for AI-native organizations built on five pillars.
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Platform Engineering, Thursday, July 16th, 2026
Platform teams should treat autonomous AI agents as first-class users with the same golden paths, RBAC, and audit trails as developers.
more → Platform Engineering, Tuesday, July 14th, 2026
Platform Engineering 2.0 is not one stack but several composed layers serving developers, data scientists, security teams, and AI agents.
more → Platform Engineering, Tuesday, July 14th, 2026
AI has removed code generation as the delivery bottleneck, shifting the real constraint to review, testing, and deployment.
more → Platform Engineering, Tuesday, July 7th, 2026
A podcast episode on how scalable AI depends on robust platform engineering, recapping PlatformCon NYC.
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Platform Engineering, Thursday, July 2nd, 2026
Cloud sovereignty means the freedom to switch providers, best built into internal developer platforms from the start.
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Platform Engineering, Thursday, July 2nd, 2026
Renaming a DevOps team fails without a product-oriented shift to building internal developer platforms.
more → Platform Engineering, Thursday, July 2nd, 2026
Platform engineering is the evolving discipline of building the shared layer between developers and infrastructure complexity.
more → Platform Engineering, Wednesday, July 1st, 2026
Platform Engineering 2.0 adds model governance and workload isolation to control AI costs and risks.
more → Platform Engineering, Monday, June 29th, 2026
Platform engineering builds shared infrastructure and workflows that let teams ship software quickly, safely, and at scale.
more → Platform Engineering, Monday, June 29th, 2026
Platform engineering means designing an internal developer platform of self-service tools to cut developer complexity.
more → Platform Engineering, Friday, June 26th, 2026
A DX report finds AI now writes half of production code but pull requests have doubled and failure rates are rising.
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Platform Engineering, Friday, June 26th, 2026
Embedding chaos experiments as CI/CD resilience gates catches systemic weaknesses before they reach production.
more → Platform Engineering, Friday, June 26th, 2026
Traditional SLOs assume deterministic behavior and fail to measure agentic system reliability, forcing new models.
more → Platform Engineering, Wednesday, June 24th, 2026
AI agents are now first-class users of internal developer platforms and need golden paths, governance, and credentials.
more → Platform Engineering, Wednesday, June 24th, 2026
Platform engineering is evolving from technical infrastructure into a product discipline focused on developer adoption.
more → Platform Engineering, Friday, June 19th, 2026
Cycloid introduced managed environments for its IDP to enable centralized control of developer environment provisioning.
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Platform Engineering, Friday, June 19th, 2026
Platform engineering initiatives fail due to inadequate staffing models rather than technology issues.
more → Platform Engineering, Monday, June 15th, 2026
Organizations are shifting from fragmented AI toolchains to standardized internal platforms with built-in governance.
more → Platform Engineering, Thursday, June 11th, 2026
Enterprise AI success depends on internal platforms that standardize operations, not on hiring more engineers.
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Platform Engineering, Thursday, June 11th, 2026
AI infrastructure investment demands platform engineering layers to manage complexity, governance, and cost.
more → Platform Engineering, Tuesday, June 9th, 2026
AI-assisted development speeds code creation but erodes shared understanding of architectural decisions.
more → Platform Engineering, Tuesday, June 9th, 2026
Platform teams must reduce developer cognitive load, not just add capabilities, to deliver real value.
more → Platform Engineering, Monday, June 8th, 2026
Platform engineering succeeds by eliminating operational toil through self-service, not by picking the right tools.
more → Platform Engineering, Friday, June 5th, 2026
CNCF tools like Kubernetes and Chaos Mesh help teams find failure modes through controlled experiments.
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InfoQ, Thursday, June 4th, 2026
Data-driven cultures with democratized SLOs and federated SRE roles strengthen platform engineering.
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Platform Engineering, Wednesday, June 3rd, 2026
Enterprises are consolidating AI build, run, and govern functions into unified platforms.
more → Platform Engineering, Tuesday, June 2nd, 2026
Google's unified agent platform reflects enterprises moving from AI experimentation to production scale.
more → LevelAct, Wednesday, May 27th, 2026
Platform engineering is replacing traditional DevOps by creating internal developer platforms that abstract complexity and improve operational efficiency at scale.
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Platform Engineering, Monday, May 25th, 2026
Rising cybersecurity hiring demand reflects broader platform engineering needs for managing AI-driven operational complexity.
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Platform Engineering, Monday, May 25th, 2026
Unapproved AI tools and AI-generated code are forcing platform teams to rethink governance and developer workflows.
more → Platform Engineering, Friday, May 15th, 2026
Modern digital platforms achieve reliability through distributed systems designed to expect and handle failure automatically.
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Platform Engineering, Wednesday, May 13th, 2026
Modern software engineering requires intelligent platforms, hyperscale reliability, and AI integration guided by strong technical leadership.
more → InfoQ, Tuesday, May 5th, 2026
Platform engineering succeeds through automated reliability, developer ergonomics, and operator ergonomics working together as a virtuous cycle.
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Platform Engineering, Friday, May 1st, 2026
Native GPU scaling via keda-gpu-scaler bypasses Prometheus for real-time LLM inference autoscaling in Kubernetes.
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InfoQ, Thursday, April 30th, 2026
Platform engineering requires a socio-technical approach with holistic impact measurement across all stakeholders.
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The New Stack, Wednesday, April 29th, 2026
An article exploring how artificial intelligence is changing platform engineering roles and responsibilities.
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Platform Engineering, Friday, April 24th, 2026
VMware renewal cycles are driving organizations to consolidate virtualization management under platform engineering teams.
more → Platform Engineering, Friday, April 24th, 2026
AI workloads lack adequate backup and recovery strategies, creating a critical platform engineering gap.
more → Platform Engineering, Friday, April 24th, 2026
Kubernetes has evolved from a container orchestrator into the foundational infrastructure platform for modern workloads.
more → Platform Engineering, Thursday, April 23rd, 2026
Platform engineers must now manage autonomous AI agents as critical infrastructure with new controls for identity, policy, and observability.
more → Platform Engineering, Thursday, April 23rd, 2026
Platform engineering is evolving from reactive monitoring to predictive systems that anticipate and prevent operational issues.
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