Parseable

𝗠𝗼𝗻𝗶𝘁𝗼𝗿 𝘆𝗼𝘂𝗿 𝗥𝗮𝘆 𝗰𝗹𝘂𝘀𝘁𝗲𝗿𝘀 𝘄𝗶𝘁𝗵 𝗣𝗮𝗿𝘀𝗲𝗮𝗯𝗹𝗲. Ray from Anyscale powers some of the most complex AI workloads in production. But production clusters need historical context, centralized metrics, and the ability to correlate signals when things go wrong. We built a complete observability pipeline: Ray → Fluent Bit → Parseable - Scrape Prometheus metrics from Ray - Store them in OpenTelemetry metrics format - Query everything with SQL in Parseable 📖 Read the full guide: https://lnkd.in/gxHAnzsP #Ray #AIInfrastructure #Observability #OpenTelemetry #Parseable

We're looking for a design intern to join our small & mighty in-house design team. You'll work on real product problems, shape user experiences, and see your work ship to developers & SREs around the world. What you'll do: Work on UI/UX for our web console and marketing assets Collaborate closely with engineering and product You might be a good fit if you: Have a portfolio that shows strong visual and product thinking Are curious about developer tools or technical products Want hands-on experience at an early-stage startup 📍 In office (Whitefield, BLR) | 💼 Paid internship | ⌛ Full time Interested? DM me or drop a comment.

Integrate Parseable observability platform with your identity provider Here's a detailed guide to set up OIDC authentication using dex and authentik. It ensures your observability data remains secure while giving your team easy, centralized access. Read more: https://lnkd.in/gKHGdMty

RAG vs MCP? Zero-shot forecasting? The "no-dashboard" movement? 2025 was the year for AI in observability. We shipped Keystone, hit the HN frontpage with foundation model research, and built an MCP server before most knew what MCP was. Here's our year in review: https://lnkd.in/gDxXFPPa

Check out our guide on shipping kubernetes logs to Parseable using the OpenTelemetry collector. This guide focuses on how to automate metadata extraction for namespaces and containers, simplifying your debugging workflows. Blog Post: https://lnkd.in/gtxuAtgW

Receiving a custom tab key from Cursor for using most tabs or getting a shoutout at OpenAI keynotes for highest token usage feels amazing. 🏆 But while we chase high adoption of AI tools, it’s easy to forget the unit economics running in the background. Every time your agent calls a tool, it's costing money and for enterprises the cost implication is higher. We wrote a guide on how to audit your agent tool calls. https://lnkd.in/gEt-3zPr

We are in the age of coding agents, which means effective monitoring has never been more critical. The problem? The current stack is fragmented. Evals stay in pre-production while agent monitoring sits in production, and both are often isolated from your general-purpose observability tools. This disconnection makes it incredibly difficult to understand the root cause when things go wrong. We wrote a comprehensive guide on how to instrument your coding agents to move beyond the "black box" and bridge these silos. Read the detailed blog post in the first comment below.

Happy Thanksgiving from the entire Parseable team! We are incredibly grateful for our community, our users, and the ecosystem that helps us grow every day. We hope your day is filled with high availability of food and zero downtime with family and friends. 🥧

We absolutely loved the energy at #KubeCon NA this year. One of the highlights was our raffle for the Meta Ray-Ban smart glasses for our new social followers. Look what just arrived in the mail for our winner, Žilvinas Urbonas! 🎁 We hope you enjoy the new specs, Žilvinas! Thanks for stopping by our booth. Thanks to everyone who participated. Stay tuned to our page for more updates, product news, and future giveaways!

Baseten makes it easy to deploy models into production. Now, we’re showing you how to make tracking them just as effortless. Our latest post details how to set up end-to-end observability, tracking costs, latency, and reliability by integrating Baseten with Parseable. It’s a powerful way to keep your inference workloads running smoothly as you scale. What’s inside:   • Extracting Prometheus-format metrics directly from Baseten.   • Utilizing Fluent Bit for lightweight data collection.   • Visualizing real-time insights with Parseable. Read the detailed blog post in the first comment below. Thanks to Philip Kiely for partnering with us to help set it up and validate