AI agents fail to scale due to engineering challenges—not AI limitations—including unpredictable user behavior, inaccessible enterprise data, multi-agent orchestration failures, lack of business-speci…
Datadog and ClickHouse announced a partnership to allow organizations to route logs directly to ClickHouse through Datadog Observability Pipelines and search those logs from the Datadog Log Explorer. …
AI coding startup Niteshift raised $7 million in seed funding led by Greylock, with backing from Reid Hoffman and Datadog co-founders, to offer companies a model-agnostic coding platform that reduces …
A GPU training pipeline at a major AI company breached its SLA despite showing 97% GPU utilization across all monitoring tools (Datadog, Grafana, nvidia-smi). Using eBPF kernel tracing, an SRE identif…
An app built with AI costs little to create but hundreds of dollars per month once real users arrive, as each production need—authentication, file uploads, email delivery, error tracking, and abuse pr…
Intencion launched a product analytics tool designed specifically for AI agents in production, capturing every user interaction end-to-end including intent, agent steps, and outcomes. The tool install…
AI observability is a new category of monitoring that tracks prompts, responses, costs, latency, errors, and output quality for AI features, filling a gap left by traditional APM tools built for deter…
A team switched their LLM-as-judge evaluation from a single 1-to-5 helpfulness scale to four binary per-criterion assertions, raising Cohen's kappa from 0.47 to 0.78. The change required reworking the…
A developer who spent years in accounting and finance has applied ledger-based discipline to production incidents, building AlertEngine as an operational governance system rather than a monitoring too…
SigNoz, an OpenTelemetry-native APM platform, now offers a Datadog-style UI, a dashboard migrator, and Datadog Receiver support to help teams migrate off Datadog's proprietary `dd-trace` library. `dd-…
PostHog has released a guide for small teams and solo founders on setting up minimum viable AI observability after shipping their first AI feature. The guide recommends starting with just three compon…
TipRanks compiled recommendations from Wall Street analysts highlighting three stocks positioned to benefit from AI-driven demand, with CNBC identifying Datadog as a top pick after the company reporte…
LineageLens has launched a self-hosted code provenance tool that records the prompt, model, tool, target file, and inserted code for AI-generated edits, addressing a critical gap in enterprise AI gove…
RoboTrace has launched a new observability platform for AI-powered robots, addressing a critical gap between existing tools like Datadog for backend services and Weights & Biases for training. The pla…
EZLogs launched a plain-English activity logging tool for Rails and Next.js applications that records every request, background job, and database change, then translates each chain of events into read…
Datadog Director of Engineering Diamond Bishop outlined five key lessons for building production-ready AI agents at the MCP Dev Summit North America 2026, based on the company's experience deploying i…
Grafana Labs competes directly with Datadog by charging across five usage meters—metrics, logs, traces, profiles, and k6 load tests—while marketing against Datadog's opaque overage bills. The company …
A benchmark comparing Chronos-Bolt and Toto zero-shot forecasting models on Prometheus and OpenSearch telemetry data found that both models outperformed naive baselines on periodic memory signals but …
Datadog's monitoring and analytics platform is positioned to benefit as companies move artificial intelligence models from development into production, creating a catalyst for the stock. The company's…
A developer built OpsMind AI, an AI-powered incident root cause analysis platform using LangGraph and RAG to automate the investigation of production failures in distributed systems. The platform proc…