A new guide from Shabih Syed compares 15 leading AI observability tools for production teams in 2026, evaluating them on tracing depth, evaluation support, token cost visibility, OpenTelemetry compati…
Monitoring catches the failures you predicted, but AI systems fail in ways you didn't, according to Kale Bogdanovs in a post on the Honeycomb blog. The post argues that AI workloads demand observabili…
Honeycomb built a multi-agent collaboration architecture for its Canvas investigation tool, where multiple engineers' AI agents operate independently in the same runtime session while sharing awarenes…
Honeycomb has shipped a production integration with Amazon Bedrock AgentCore, surfacing agent telemetry in its Agent Timeline tool. The company chose AgentCore for its modularity and production-grade …
Reid Savage, an engineering manager at Honeycomb, reflects on his first year leading the SRE team, emphasizing the importance of investing in relationships, seeking feedback, and distinguishing betwee…
At O11yCon, engineering teams from Mixpanel, Gem, and StarSling reported using AI to boost code velocity by up to 50%, with observability tools like Honeycomb critical for managing the increased volum…
Honeycomb released the second edition of Observability Engineering, a near-complete rewrite addressing AI-era challenges like validating AI-generated code in production and the risk of shipping faster…
Honeycomb released a technical guide on instrumenting AI agents with OpenTelemetry's GenAI semantic conventions to enable debugging via the Agent Timeline, which captures tool calls, multi-agent hando…
Honeycomb conducted scheduled Kafka maintenance on May 4 (EU) and May 7 (US), 2026, replacing a decade-old cluster with a newer, more scalable one. The maintenance caused up to 90 minutes of query dow…
Honeycomb announced the general availability of Agent Timeline, a tool that provides a unified view of LLM behavior and multi-agent workflows to help developers debug agent conversations faster. The f…
The second edition of Observability Engineering is available for download, sponsored by Honeycomb. Authors Charity Majors and team wrote the book amid the generative AI boom, emphasizing that AI is no…
Observability teams must shift from traditional metrics like uptime and MTTR to measuring business outcomes, as complex AI-driven systems make degraded experiences more costly than outages. A roundtab…
Honeycomb migrated a portion of its production shared compute pool from AWS Graviton4 (m8g.8xlarge) to Graviton5 (m9g.8xlarge), running both generations side by side for 60 days. Every measured servic…
The OpenTelemetry Collector can be packaged as a Lambda container image and fronted with a Function URL, enabling intermittent telemetry processing at near-zero cost. The architecture uses the AWS Lam…
Honeycomb's support team uses its own Canvas and MCP tools to debug internal telemetry, reducing time spent on query mechanics and accelerating customer issue resolution. The shift from manual query b…