A senior engineer at a mid-size SaaS company shares production deployment best practices for AI agents, emphasizing version-controlled pipelines, blue-green deployments, and decision-level observabili…
Poindexter is replacing its Grafana-in-an-iframe dashboard with a native console UI to integrate observability, alerting, and operational tools into a single coherent system. The team committed to the…
Site reliability engineering teams are adopting agentic AI for incident response but must build trust through grounded telemetry, safety guardrails, and progressive autonomy. A five-pillar trust model…
A developer advocates for a read-only approach to using AI in Site Reliability Engineering (SRE), arguing that AI provides the most value by helping engineers understand production incidents faster wi…
McKinsey's 2024 report shows 72% of organizations now use AI in business functions, yet many lack reliable audit trails for AI decisions. The developer community is split between manual logging with e…
A developer discusses strategies for maintaining p99 latency during autoscaling cold starts, proposing predictive load management using machine learning to pre-warm services. The approach can reduce i…
A practical guide from a former Grafana employee lists alternatives for teams that have outgrown the LGTM stack or are tired of Grafana Cloud's rising costs, grouping options by use case such as unifi…
A Kubernetes cost dashboard provides per-namespace and per-workload cost visibility that cloud billing lacks, enabling platform teams to identify waste and reduce spending. Key metrics include cost pe…
A developer contributed nearly 30,000 lines of code across 7 open-source repos in one week, focusing on p2p networking fixes in py-libp2p, scaling documentation with mdBook, and SRE code reviews. The …
Glad Labs fixed a GPU pinning issue where LiteLLM 1.89.2's global api_base override prevented per-model routing, causing vision tasks to cold-load onto the wrong GPU. The team also hardened content gu…
A developer built a Grafana AI anomaly detection pipeline after a memory leak went undetected for three days because static CPU thresholds failed. The pipeline converts ML model scores into reliable a…
Memgraph 3.11 introduces cross-database querying, virtual graph views, per-database monitoring, and intra-cluster TLS to simplify multi-tenancy for graph workloads. The release helps teams manage isol…
Glad-Labs retired its Gen-1 TopicDiscovery orchestrator, cutting nearly 900 lines of legacy code and collapsing logic into a single topic path. The team also fixed a GPU lock deadlock that caused invi…
Looop, a new open-source tool, launches as a tiny, portable autonomous control loop for LLM agents, operating as a single binary without external dependencies. It monitors sources like GitHub and Line…
A new open-source project called agent-git-service provides a self-hosted, GitHub-compatible API server designed for AI agents, offering durable agent accounts, scoped tokens, and direct permission gr…
TrueFoundry argues that organizations need an AI gateway to manage cost, security, reliability, and governance across multiple LLM providers. Without a gateway, AI sprawl leads to runaway spending, se…
A new roundup of 11 Kubernetes monitoring tools for 2026 highlights open-source options like SigNoz, Prometheus, and Grafana alongside managed solutions such as Datadog and New Relic. The guide compar…
Xenoeye, an open-source network traffic analyzer that avoids AI, uses netflow protocols, PostgreSQL or ClickHouse, and Grafana for visualization. It features monitoring objects for filtering flows, ag…
WasmAgent released the @wasmagent/aep package, which records every tool call as an ActionEvidence object with pre/post state digests and capability decisions baked into a single record, solving the pr…
A developer at Yogreet Global proposes dynamic model-routing thresholds to optimize costs and performance when escalating requests to frontier AI models. By analyzing request characteristics like toke…