InfoQ Homepage Platform Engineering Content on InfoQ
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Backstage 1.55 Adds Scaffolder Task Recovery and Removes Deprecated Catalog APIs
Backstage 1.55 adds opt-in recovery for Software Template tasks, resuming crashed or timed-out runs from the last completed step. The release also carries breaking changes to the catalog, search and TechDocs, so teams should review their configuration before upgrading to the current 1.55.3 patch.
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Container Apps Express Reaches GA on a Newly Generally Available Sandbox Layer
Microsoft has made Azure Container Apps Express generally available alongside Container Apps Sandboxes, the microVM compute layer it runs on. Express skips environment provisioning and scales to zero, with subsecond startup from prewarmed pools. Custom domains, zone redundancy, Key Vault references, OpenTelemetry and Dapr are not supported.
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Building a Collaborative Platform Culture in a Bank
A platform is a collaboration system, not infrastructure. Culture follows structure: platform teams can build open support sessions, create super user awards for contributing developers, and establish shared open standards to grow an engineering mindset. Developers and product teams depend on a platform team, which in turn depends on application teams; to go forward, they need shared standards.
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Elastic Beanstalk Adds Cluster Mode, Running Applications on Shared EKS Clusters
AWS has added Cluster Mode to Elastic Beanstalk, running applications on EKS clusters the service creates and operates. Clusters are assigned by subnet set and cannot be changed afterward, direct cluster access is service-managed, and AWS recommends separate clusters for untrusted or regulated workloads. The mode adds EKS and Auto Mode fees that EC2 discounts do not reduce.
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Building an Internal Developer Platform with Artificial Intelligence
Agents are becoming the new developer platform, using semantic search with data from tools like Git, Slack, and Jira for context. Things to consider are setting guardrails to block or allow things, and using logs, metrics, and traces to understand agent behavior.
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Dropbox Evolves Riviera Content Processing Platform to Support AI Workloads
Dropbox has evolved Riviera from a file preview service into a universal content processing platform supporting more than 300 file formats and over 100 transformation capabilities. Processing hundreds of thousands of transformations per second, Riviera now supports Search, Replay, Sign, and Dash, while its APIs enable asynchronous content extraction for AI and RAG workflows.
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JetBrains Details its First Steps to Bring Rapidly Growing AI Spend under Control
JetBrains has described how it began centralising AI usage after development-related spending increased roughly tenfold in six months. Rather than restricting engineers to a small set of approved tools, the company built a shared access and accounting layer intended to preserve tool choice while giving teams greater visibility and control over consumption.
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Buildpacks Move the Container Hardening Control Point Away from the Dockerfile
Cloud Native Buildpacks, which graduated within the CNCF in July 2026, move base image choice out of per-service Dockerfiles into a single builder owned by platform engineering, enabling fleet-wide patching. BellSoft's hardened Paketo builder is the latest sign that vendors now treat the builder, not the Dockerfile, as the container security control point.
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Instacart Builds Blueberry, an AI-Powered Assistant to Help On-Call Engineers Investigate Incidents
Instacart introduced Blueberry, an AI-assisted incident response system that helps on-call engineers investigate production issues faster. It combines AI agents, operational data, and historical incident knowledge to generate grounded root cause hypotheses in Slack. It uses parallel subagents, MCP integrations, and incident history to reduce investigation time while keeping engineers in control.
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From Projects to Products: Turning Platforms into Products People Use
Having a platform is not enough; the real challenge is ensuring that it is understandable, usable, and actually adopted by its users. A capability is done when it can be reliably used by others. To evaluate progress, you can ask yourself “Is this being used?” and “Does it reduce friction for users?” This can help align development work with actual user value rather than delivery.
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Platform Engineering Maturity Emerges as a Key Differentiator for Enterprise AI Success
Platform engineering maturity is emerging as an important factor in determining whether organizations can turn AI adoption into sustainable operational value, according to Perforce Software's 2026 Platform Engineering Report.
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Expedia Uses AI-Driven Service Telemetry Analyzer to Accelerate Incident Investigation
Expedia Group has introduced STAR, an internal AI-assisted observability platform that helps engineers investigate production incidents using service telemetry and LLMs. Built with FastAPI, Datadog, Celery, Redis, and Langfuse, STAR follows structured workflows to analyze telemetry, generate root cause assessments, and support incident response while keeping engineers in the loop.
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Achieving Compliance as a Platform Engineering Team by Helping Developers
When a new platform team set out to implement their roadmap through forced workflows with poor documentation, developer experience declined. Success came from simplifying governance, prioritizing what mattered, and rolling out compliance incrementally through prevention, detection, and communication. Empathy, focus, and shared purpose drove successful adoption.
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QCon AI New York 2026: Registration Opens for December 15-16 Production-AI Conference
QCon AI New York 2026 (Dec 15-16) has opened registration at The Westin Jersey City Newport. Six tracks on production AI, chaired by Eder Ignatowicz with Faye Zhang and Wes Reisz. First sessions announced in August, full program by November.
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Developing and Deploying a Platform that the Business Understands and Developers Actually Want
A lot of platform teams face a problem: they build a lot of really cool stuff, and then their developers don't use it. Be visible to management, talk to stakeholders and listen to their problems, make your value measurable with metrics like DORA, create narratives, and show the hidden pain to make it personal: these are lessons that Lucas Hornung and Christian Matthaei presented.