tag: Platform-Engineering · 23 items
- Platform/SRE — Skip
- CI/CD — Skip
- Leader — Learn: Conceptual framing on trust and governance for AI agents as org adoption grows; useful for shaping early policy on AI tooling in the platform, but no actionable decision required now.
- Platform/SRE — Learn: Conceptual framing on platform maturity stages may inform how teams think about IDP evolution, but no operational change or deadline is present.
- CI/CD — Skip
- Leader — Learn: Useful for benchmarking where the org sits on the platform maturity curve and shaping IDP strategy conversation, but no actionable decision follows from this piece alone.
- Platform/SRE — Learn: A conceptual overview of Kubernetes observability patterns — useful for shaping how SREs reason about distributed tracing, metrics, and logs across complex workloads, but no new tooling, GA release, or deadline requiring action.
- CI/CD — Skip
- Leader — Skip
- Platform/SRE — Learn: A conceptual overview of what platform teams need to consider when extending Kubernetes for AI workloads; no concrete tooling changes or deadlines, but useful for shaping future platform strategy around GPU scheduling and resource management.
- CI/CD — Skip
- Leader — Learn: Relevant framing for leaders evaluating whether their current Kubernetes platform strategy needs to extend to AI/ML workload support — useful context for roadmap discussions, but no decision is forced yet.
- Platform/SRE — Learn: Describes a multi-tenant GPU pooling architecture on Kubernetes for concurrent AI workloads; useful design reference if the org is evaluating shared GPU infrastructure, but no GA tooling or deadline makes this actionable today.
- CI/CD — Skip
- Leader — Learn: Offers a mental model for AI infrastructure as a shared organizational capability; relevant if evaluating whether to build a centralized GPU platform versus per-team provisioning.
- Platform/SRE — Learn: Reframes Kyverno ownership and positioning — useful for platform teams deciding where policy enforcement lives in their IDP strategy, but no operational change required.
- CI/CD — Skip
- Leader — Learn: Relevant for leaders deciding which team owns Kyverno’s budget and roadmap — a useful framing for org-design and golden-path decisions, but no action required now.
- Platform/SRE — Learn: Demonstrates a fully automated, immutable-OS-based Kubernetes upgrade pattern using Kairos that could inform how teams redesign their node upgrade strategy; no production action required today.
- CI/CD — Skip
- Leader — Skip
- Platform/SRE — Learn: Interesting case study on how Oxide shaped their Kubernetes integrations around real customer needs; worth reading for bare-metal IDP design patterns, but no operational change required.
- CI/CD — Skip
- Leader — Learn: Useful signal on Oxide as a bare-metal cloud alternative and how its Kubernetes story is maturing; relevant if evaluating build-vs-buy for on-prem infra strategy.
- Platform/SRE — Learn: Useful framing on how LLM serving infrastructure (inference endpoints, model registries, prompt pipelines) fits into the platform team’s ownership model — no operational change required today.
- CI/CD — Skip
- Leader — Learn: Relevant to deciding which team owns AI pipeline delivery and how to structure platform responsibilities as LLM workloads scale — shapes org-design thinking without forcing an immediate decision.
- Platform/SRE — Skip
- CI/CD — Skip
- Leader — Learn: HashiCorp frames HCP Terraform as the governance layer for AI-authored infrastructure; worth tracking as you evaluate where agentic automation fits in your IaC strategy, but no decision is actionable yet.
- Platform/SRE — Skip
- CI/CD — Skip
- Leader — Learn: Frames AI governance as a trust and developer-experience challenge rather than a pure security problem — useful context for leaders defining AI adoption standards and golden-path policies for engineering teams.
- Platform/SRE — Learn: Practical production experience showing where traditional APM falls short for AI agent workloads; useful for teams beginning to run agents on shared infrastructure and thinking about what to instrument.
- CI/CD — Skip
- Leader — Learn: Shapes strategic thinking on observability tooling gaps as AI agents move into production; relevant when evaluating whether current APM investments cover emerging agent-based workloads.
- Platform/SRE — Learn: Solid explainer on how controller-runtime’s list+watch cache works and why reconcilers read from a local copy rather than hitting kube-apiserver directly — useful for platform engineers writing or reviewing custom controllers to avoid memory and consistency surprises in production.
- CI/CD — Skip
- Leader — Skip
- Platform/SRE — Learn: A conceptual framing of where DevOps tooling is heading; worth reading for mental models on infrastructure-as-code evolution, but no operational change required.
- CI/CD — Skip
- Leader — Learn: Offers strategic perspective on next-generation DevOps tooling paradigms that could inform long-term platform direction, but no decision is required now.
- Platform/SRE — Skip
- CI/CD — Skip
- Leader — Learn: A high-engagement opinion piece arguing DevOps as practiced has drifted from its original intent; worth skimming for framing language when setting org-wide platform engineering direction.
- Platform/SRE — Learn: Koreo offers a unified config-management and resource-orchestration layer on Kubernetes, positioned as an alternative to Helm/Kustomize complexity and Crossplane limitations. Too early and community-unproven to plan adoption, but worth tracking as the internal-developer-platform space matures.
- CI/CD — Skip
- Leader — Learn: An emerging OSS approach from a consulting firm that reframes Kubernetes configuration and resource orchestration as a programmable controller layer — worth filing as a signal when evaluating IDP strategy or build-vs-buy decisions on tooling like Crossplane or Helm at scale.
- Platform/SRE — Learn: A conceptual framing piece on how platform engineering may evolve to manage AI agents alongside applications; no concrete tooling change or operational action required today.
- CI/CD — Skip
- Leader — Learn: Useful strategic context on how the platform engineering discipline is being reframed around agentic AI workloads, worth reading to inform future platform investment decisions.
- Platform/SRE — Learn: Reframes how to evaluate LLM inference infrastructure capacity; useful context when sizing or optimizing a self-hosted model-serving stack, but no operational change required today.
- CI/CD — Skip
- Leader — Skip
- Platform/SRE — Learn: Speculative design essay on a hypothetical K8s 2.0 — useful for shaping long-term mental models on Kubernetes architecture, but no GA release, no deadline, and no operational change required today.
- CI/CD — Skip
- Leader — Learn: Thought-provoking framing on where Kubernetes complexity may drive the ecosystem — worth reading for long-term platform strategy thinking, but no decision or vendor action required.
- Signals: major release (2.0)
- Platform/SRE — Learn: Surveys the current landscape of on-prem DBaaS patterns and operators (CloudNativePG, Percona, etc.) — useful for shaping how the team exposes database services to app teams, but no deadline or GA feature requiring a change today.
- CI/CD — Skip
- Leader — Learn: Relevant context for platform-as-a-product strategy and build-vs-buy decisions around internal database provisioning, but no licensing change or cost event requiring a decision now.
- Platform/SRE — Learn: A conceptual piece on how to reason about Kubernetes; useful for building or refining mental models but no operational change required.
- CI/CD — Skip
- Leader — Skip
- Platform/SRE — Learn: A scaling/reliability case study from Databricks on custom Kubernetes load balancing — worth reading for design ideas but no operational change required.
- CI/CD — Skip
- Leader — Skip
- Platform/SRE — Learn: Reflects on the hidden complexity costs of building internal platform abstractions that replicate Kubernetes primitives — useful framing for platform design decisions but no operational change required.
- CI/CD — Skip
- Leader — Learn: Offers strategic perspective on when internal platform layers add complexity rather than value — relevant for leaders evaluating build-vs-buy and IDP investment decisions.