Buildkite engineers implemented async LLM inference through the Bifrost AI gateway to prevent build workers from blocking on slow model calls. By switching to a submit-and-poll pattern, workers no lon…
AI observability startup Sazabi raised $8 million in a seed round led by J2 Ventures, Village Global, and Y Combinator. The San Francisco-based company, founded by former Brex engineer Sherwood Callaw…
A developer built a time-series forecasting engine using Temporal Convolutional Networks (TCN) and PyTorch Lightning to predict blood glucose spikes from Continuous Glucose Monitor (CGM) data. The sys…
A developer at a platform organization describes how AI can be used to draft DevOps runbooks from shell history and incident timelines, but emphasizes that human verification and editing are essential…
Buildkite ran a game day that fault-injected OpenAI with 429s and 500s to test whether Bifrost's fallback config would reroute requests for an LLM-backed build-failure summariser. After fixing a retry…
Amazon SageMaker AI now emits over 100 detailed inference metrics and provides a built-in Insights dashboard in Amazon CloudWatch, enabling teams to monitor and debug generative AI inference endpoints…
A developer argues that most AI coding tools are built for developers working in a repository, not for ops engineers debugging production issues at 2am. They propose an AI assistant that works within …
A developer released Python and Node.js SDKs for Ajah, an open-source self-hosted LLM observability gateway. The SDKs simplify integration by replacing manual header injection with a single import, en…
A developer's guide to AI Ops explains how to automate modern infrastructure using dynamic baselines, OpenTelemetry instrumentation, and LLM-driven root cause analysis. The approach reduces Mean Time …
Kaushik launched Rocketgraph, an open-source tool that uses machine learning to condense millions of log lines into a few hundred patterns with anomaly scores, enabling LLMs to debug production issues…
A developer built a middleware service that routes AI queries to cheaper models for simple questions and reserves expensive GPT-4 calls for complex ones, cutting API costs by 70% while improving respo…
A new guide details how to monitor LLM inference in production using Prometheus and Grafana, covering metrics like tokens/sec, queue duration, and KV cache pressure for servers such as vLLM, TGI, and …
The AI supply chain introduces new failure modes where data poisoning and model tampering produce wrong predictions indistinguishable from correct ones, requiring the same signature-and-lineage treatm…
Tekyous launched an interactive tech stack builder that lets developers browse hundreds of tools, get AI-driven stack recommendations, and build visual architecture diagrams. The platform includes a s…
A developer integrated Astro 5 content collections into the programmatic site Open Alternative To, enabling editorial takes for 3 of 18 indexed pages while leaving the rest unchanged. The pattern uses…
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…
Pinecone released an open-source monitoring stack for its vector database, providing pre-built Grafana dashboards and Prometheus metric collection for SaaS and BYOC deployments. The stack enables proa…
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…
A developer built a cost-attribution system for LLM usage by tagging every gateway span with `team.id`, `project.id`, and `feature.id` alongside OpenInference token-count attributes, shipping those sp…
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…