Platform Engineering

Why most AI GPU clusters waste 30–60% capacity - Javier Abrego | PlatformCon 2026

Endless runner: Agentic pipelines for the OS supply chain

Build agents using cloud-native infrastructure - Siri Varma Vegiraju | PlatformCon 2026

Your APIs have a new user: AI Agents (and they don’t follow rules) - Prachi Jamdade

Securing the bronze layer: Apache Polaris external catalog architecture - Maninderjit Parmar

Agent-in-the-loop: How platform teams scale guardrail enforcement - Darshit Pandya

The agentic platform: Architecting multi-agent swarms with MCP - Dippu Kumar Singh

When software platforms are up... but workflows still break - Abhimanyu Narwal | PlatformCon 2026

OpenTelemetry after the hype: Making observability a platform primitive - Mesut Özdil

OpenTelemetry has transitioned from an idealistic promise of vendor neutrality to a complex operational reality requiring rigorous governance. While the industry successfully stabilized traces, metrics, and logs between 2022 and 2025, the primary challenge in 2026 is managing the "day two" consequences of scale, such a...

Your org chart is infrastructure: Building your own software catalogue - Nalini Kumari

Platforms that scale with AI: Spec-first engineering in practice - Haim Michael | PlatformCon 2026

Making efficiency a platform capability - Graziano Casto | PlatformCon 2026

The IKEA assembly model: What platform engineering gets right (and wrong)

Your golden path just became a freeway

Turning 10x developers into 10x value - Bryan Ross | PlatformCon 2026

One automation strategy for many databases: Standardize, secure, scale - Amol Agade

The theory and practice of trace sampling - Michele Mancioppi | PlatformCon 2026

When cluster upgrades deadlock: Topology, PVCs & autoscaling under stress - Akanksha Singh

Cost-aware Kubernetes autoscaling with KEDA and Karpenter - Ji Molloy | PlatformCon 2026

Observability for AI agents: Monitoring MCP servers - Anuj Tyagi | PlatformCon 2026