{"id":730232,"date":"2026-08-07T08:30:19","date_gmt":"2026-08-07T08:30:19","guid":{"rendered":"https:\/\/www.newsbeep.com\/uk\/730232\/"},"modified":"2026-08-07T08:30:19","modified_gmt":"2026-08-07T08:30:19","slug":"partner-content-platform-engineering-2-0-your-platform-was-built-for-a-different-era-ai-just-exposed-it","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/uk\/730232\/","title":{"rendered":"PARTNER CONTENT: Platform Engineering 2.0: your platform was built for a different era. AI just exposed it."},"content":{"rendered":"<p class=\"kicker \" style=\"\">devops<\/p>\n<p class=\"subtitle \" style=\"\">PARTNER CONTENT: Platform engineering won the argument. Now it has to grow up fast and evolve for the AI era<\/p>\n<p>The debate about whether enterprises need an internal platform is over. <a href=\"https:\/\/dora.dev\/capabilities\/platform-engineering\/\" rel=\"nofollow noopener\" target=\"_blank\">Google\u2019s 2025 DORA <\/a>research found that 90 percent of organizations now report using an internal platform, and 76 percent have established dedicated platform teams. The question for IT leaders is no longer \u201cshould we build a platform?\u201d It\u2019s \u201cwill the platform we\u2019ve built survive what\u2019s coming?\u201d<\/p>\n<p>The honest answer for most IT organizations is no \u2014 not without work. The platform you stood up over the past few years was designed for human developers shipping containerized apps at a human pace. That world is gone. Many forces have piled onto platforms in the last two years, and together they are exposing the cracks.<\/p>\n<p>At the base of every crack is infrastructure \u2014 the developer-centric substrate that was never designed to provision GPUs on demand, govern AI agents, or enforce cost control at the moment of provisioning.<\/p>\n<p>Start with the obvious one. Most developers are now using AI coding assistants. AI-assisted development has become mainstream, dramatically increasing the volume of code that organizations can generate and review. The bottleneck has moved. It\u2019s no longer about writing code \u2014 it\u2019s about delivering it. Your pipelines were never sized for that throughput, and the developer\u2019s job has quietly changed from author to reviewer and orchestrator of machine-generated work.<\/p>\n<p>Then there\u2019s a brand-new kind of user knocking on the door: the AI agent. This is the non-human persona platform teams have increasingly had to design for over the last decade. Agents need authentication, token usage regulation and management at an organization and user level, GPU allocation, MCP compatibility, scoped permissions, non-human identity, audit logging, and hard guardrails on what they\u2019re allowed to do. Most platforms have no native answer for any of it.<\/p>\n<p>Cost is the third pressure. As per Broadcom\u2019s <a href=\"https:\/\/news.broadcom.com\/releases\/broadcom-private-cloud-outlook-2026\" rel=\"nofollow noopener\" target=\"_blank\">Private Cloud Outlook 2026 study<\/a> &#8211; 97 percent of IT leaders believe some of their public cloud spend is wasted, and 52 percent estimate that waste exceeds 25 percent of their total public cloud budget. AI infrastructure makes it dramatically worse. GPU instances, inference endpoints, and training jobs dwarf traditional spend. On top sits the token cost of every prompt and retry \u2014 a category most cost-reporting tools simply can\u2019t see. Retrospective FinOps, the monthly review and quarterly cleanup sprint, can\u2019t catch a misconfigured AI workload that burns through budget overnight.<\/p>\n<p>Privacy, security and sovereignty round out the list. AI introduces new vast attack surfaces \u2014 shadow AI sprawl, prompt injection, model poisoning, inference data leaks \u2014 that no SAST or DAST scan in your pipeline was built to detect. Meanwhile the EU AI Act, US executive orders, and data residency rules keep adding compliance requirements.<\/p>\n<p>Platform Engineering 2.0 Evolution, not a Rebuild<\/p>\n<p>Here\u2019s the part worth hearing clearly: none of this means tearing up what you\u2019ve built. The foundations \u2014 Platform as Product, golden paths, shift-left security, self-service Internal Developer Platforms (IDPs) \u2014 still hold. The discipline doesn\u2019t reset at each phase. It evolves. What\u2019s described as Platform Engineering 2.0 is an extension of those foundations across five pillars, not a do-over.<\/p>\n<p>                <img decoding=\"async\" src=\"https:\/\/www.newsbeep.com\/uk\/wp-content\/uploads\/2026\/08\/5283285.webp\" width=\"480\" height=\"140\" alt=\"Five pillars of PE 2.0\" loading=\"lazy\" style=\"\"\/><\/p>\n<p>The first pillar is an AI-native platform. Your IDP evolves into what\u2019s increasingly being called an Agentic Development Platform (ADP), treating AI workloads as first-class citizens and AI agents as first-class users. Same operating model, expanded substrate.<\/p>\n<p>Second, is a multi-persona experience. Most platforms today serve application developers well and treat everyone else as a second-class citizen. That leaves significant value on the table unrealized. Security teams, data scientists, ML engineers, FinOps analysts, business leaders, and agents all need the platform, each with their own interface sitting on shared APIs.<\/p>\n<p>Third, is embedded FinOps. The shift is from rear-view-mirror reporting to cost decisions made at provisioning time. Every developer becomes a FinOps practitioner by default \u2014 not through training, but because the platform surfaces cost at the moment of action.<\/p>\n<p>Fourth, security shifts down. Shift-left moved security earlier in the pipeline but dumped the load onto developers, and most vulnerabilities still surface in production. Shifting down means embedding security into the platform and runtime layers themselves, so it\u2019s invisible to developers and immutable by design.<\/p>\n<p>Fifth, composable by design. The future isn\u2019t build versus buy \u2014 it\u2019s compose. API-first, swappable building blocks let you replace one CI\/CD tool or observability stack without cascading changes. The CNCF projects ecosystem has grown from about 50 projects in 2018 to more than 200 today; rigid platforms can\u2019t keep pace with that choice surface.<\/p>\n<p>Where to start: AI native platform readiness<\/p>\n<p>Platform Engineering 2.0 begins with modernizing that infrastructure foundation. Don\u2019t try to do all five at once. Audit your platform against the ceilings and start where the friction is worst \u2014 that\u2019s where you\u2019ll have executive sponsorship and a clear ROI story. For most organizations, the 12-month milestone that matters most is AI-native readiness: GPU workload support; agents; non-human identity; token economics; and MCP gateway exposure.<\/p>\n<p>Start by auditing your current IDP for three gaps: GPU\/accelerator provisioning; non-human identity management; and real-time cost attribution at provisioning time. If all three are missing, your platform is already behind.<\/p>\n<p>The teams that built golden paths for developer autonomy are now being handed the keys to enterprise-wide agentic autonomy. That\u2019s the largest mandate the discipline has ever held. The window is open and the foundations are already in place. What\u2019s left is to extend them \u2014 before the platform becomes the bottleneck it was built to remove.<\/p>\n<p>Read more: <a href=\"http:\/\/brcm.tech\/PE2WhitePaper\" rel=\"nofollow noopener\" target=\"_blank\">Platform Engineering 2.0 whitepaper<\/a> from Broadcom and Platformengineering.org \u2014 a detailed framework for this evolution: brcm.tech\/PE2WhitePaper<\/p>\n<p>Contributed by Broadcom<\/p>\n","protected":false},"excerpt":{"rendered":"devops PARTNER CONTENT: Platform engineering won the argument. Now it has to grow up fast and evolve for&hellip;\n","protected":false},"author":2,"featured_media":730233,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[554,733,4308,86,56,54,55],"class_list":["post-730232","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-technology","tag-uk","tag-united-kingdom","tag-unitedkingdom"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/730232","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/comments?post=730232"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/730232\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media\/730233"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media?parent=730232"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/categories?post=730232"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/tags?post=730232"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}