Operations | Monitoring | ITSM | DevOps | Cloud

Welcome to “Elephant in the Room – Presented by Aiven.” In this live series, we dig into the real-world challenges developers face when building modern applications on PostgreSQL, the elephant everyone depends on but few fully leverage. Episode 2: Join Jay Miller, Staff Product Advocate at Aiven, and special guest Alexis Roberson – senior developer educator, and feature flag enthusiast – as they explore how developers can use feature flags to ship faster, reduce risk, and create better user experiences with PostgreSQL-backed applications.

Building your own agent that references complex documentation can help save time and improve the end user experience.

Front‑end bugs are notoriously hard to reproduce. By the time an error shows up in your monitoring tool, the most important context is already gone: *what the user actually did*. By letting an AI agent like Copilot analyze Rollbar's session replay data directly, teams can move from *“something broke”* to *“here’s exactly why it broke”* in minutes, not hours.

GenAI demos are easy. Production is where everything breaks. In this episode, Eduardo Ordax, Principal GTM GenAI at AWS, breaks down what actually stops companies from shipping reliable AI systems, and why the real blockers have little to do with technology.

Are your traffic replay tests crumbling because of expired tokens? You've got JWT Rot! When recording production traffic for integration or load testing, the embedded JSON Web Tokens (JWTs) often have a short expiration date. Once those tokens expire, your entire test suite fails, rendering your valuable traffic snapshots useless. Stop wasting time re-recording traffic. Learn how to defeat JWT Rot and ensure your security and API tests run reliably every time!

Clint Sharp explains why a common model like OCSF is critical for the future of AI. Agents need standardized data to analyze information effectively on your behalf. He contrasts the traditional manual workflow of checking Slack, tickets, and wikis while asking colleagues with a future where AI fuses this human context with machine data. Instead of just search results, AI agents will hand you examined hypotheses so you know exactly where to take your investigation.

Clint Sharp demonstrates how Cribl Search leverages AI to streamline incident investigation. Starting from a Slack channel, the AI builds an interactive notebook, analyzes order processing logs, and identifies suspicious traffic spikes. It connects high CPU usage to a recent Jenkins deployment, hypothesizing a supply chain attack, and ultimately recommends a rollback. This isn't a far off concept. It is the future of operations arriving right now.