InfoQ - Observability

Article: Kernel-Level Ground Truth: Why eBPF is Replacing User-Space Agents for Security Observability

Niranjan Sharma — Tue, 19 May 2026 09:00:00 GMT

eBPF is emerging as a preferred method for security observability over traditional user-space agents. By attaching probes directly to the Linux kernel's syscall interface, it provides consistent visibility even during container-level compromises. eBPF reduces security-related CPU consumption and limits data volume by performing filtering at the kernel level, enhancing operational efficiency.

By Niranjan Sharma

Cloudflare Introduces Workflows V2 with Deterministic Execution and 50K Concurrent Workflows

Leela Kumili — Fri, 15 May 2026 14:04:00 GMT

Cloudflare introduces Workflows V2, a redesigned distributed workflow orchestration system with deterministic replayable execution, improved observability, and major scaling upgrades, including 50,000 concurrent instances and 2M queued workflows. It supports AI agents, data pipelines, and background processing with improved reliability across distributed systems.

By Leela Kumili

Pinterest Engineers Eliminate CPU Zombies to Resolve Production Bottlenecks

Mark Silvester — Thu, 14 May 2026 10:00:00 GMT

Pinterest identified and resolved CPU starvation issues that affected machine learning training jobs on its Kubernetes-based platform, PinCompute. The engineers traced the problem to an unused Amazon ECS agent, which caused memory cgroup leaks. By disabling the agent, they stabilised performance. This case illustrates the importance of understanding system defaults for effective troubleshooting.

By Mark Silvester

Grafana's Pyroscope 2.0 Makes Continuous Profiling Practical at Scale

Matt Saunders — Wed, 13 May 2026 08:00:00 GMT

Grafana Labs has launched Pyroscope 2.0, a rearchitected open-source continuous profiling database. This version improves storage costs, query performance, and operational complexity. Key changes include single write paths for profiles, stateless query processing, and enhanced capabilities for profiling data. It supports the OpenTelemetry Protocol, aligning with current trends in observability.

By Matt Saunders

Netflix Serves 84% of Query Results from Cache with Interval-Aware Caching in Apache Druid

Leela Kumili — Mon, 11 May 2026 14:36:00 GMT

Netflix improves Apache Druid performance with interval aware caching, serving 84% of analytics results from cache and reducing query load by 33%. The system decomposes rolling window queries into reusable time segments, enabling partial cache reuse and recomputation only for recent data. At scale, it reduces scan volume, improves P90 latency, and optimizes real time analytics workloads.

By Leela Kumili

Article: Local-First AI Inference: a Cloud Architecture Pattern for Cost-Effective Document Processing

Obinna Iheanachor — Mon, 11 May 2026 11:00:00 GMT

The Local-First AI Inference pattern routes 70–80% of documents to deterministic local extraction at zero API cost, reserving Azure OpenAI calls for edge cases and flagging low-confidence results for human review. Deployed on 4,700 engineering drawing PDFs, it cut API costs by 75% and processing time by 55%, while bounding errors through a human review tier.

By Obinna Iheanachor