Engineering
How Etsy gets its mobile apps ready for peak traffic
Etsy engineering manager Jay Henry on running a code slush instead of a freeze, keeping alert fatigue out of peak season, and pricing a crash in GMS.
Blogs Published by Sergiy Dybskiy
Engineering
Reading the agent traces is how you make the call your eval can't
Picking a model for your agent is a tradeoff between cost, quality, and speed. Here's a free-tier model that made things up, what an eval would and wouldn't have caught, and why reading the agent traces is how you actually decide.
Engineering
Errors, traces, logs, metrics: when to reach for what
Errors, traces, logs, and metrics overlap more than you'd think. An opinionated, practical guide to which signal to reach for, and why the choice decides what you (and your coding agents) can debug later.
Engineering
Your agent can't fix what it can't see
The bottleneck for self-healing software isn't agent intelligence. It's that agents have no idea what actually broke in production. Sentry MCP and the CLI bridge that gap.
Engineering
From vibe code to production-ready: observability for Next.js and Supabase apps
Supabase gives you query insights and logs, but it can't trace across your full stack. Here's how to connect Next.js, Supabase Edge Functions, and Postgres with distributed tracing, log drains, and AI-assisted debugging in Sentry.
Engineering
Debugging multi-agent AI: When the failure is in the space between agents
When an agent's tool call silently degrades the input to a completely different agent two steps later, standard monitoring won't catch it. Here's how to find bugs that live between agents.
Product Updates
Sample AI traces at 100% without sampling everything
A little while ago, when agents were telling me "You're absolutely right!", I was building webvitals.com. You put in a URL, it kicks off an API request to a…
Engineering
AI agent observability: The developer's guide to agent tracing
A developer's guide to AI agent observability and tracing with OpenTelemetry gen_ai spans—dashboards, traces, and cost metrics to debug agents in Sentry.
Product Updates
Next.js observability gaps and how to close them
Next.js hides errors across three runtimes. Here's how to close the gaps in hydration errors, server actions, ORM queries, and AI observability.
Product Updates
You're probably overdue for a Sentry SDK upgrade
Half of all Sentry JS SDK installs are on v8 or older. If you're one of them, here's what you're missing, and how to close the gap without the pain.
Product Updates
From random chunks to real code — wiring up Next.js source maps in Sentry
Stop seeing random chunk names in your Next.js errors. Set up source maps in Sentry to get readable stack traces that point to your actual code.
Product Updates
Less code, faster builds, same telemetry: Turbopack support for the Next.js SDK
Less code, faster builds, same telemetry. How Sentry’s Next.js SDK supports Turbopack without losing insight into errors or performance.
Product Updates
Not everything that breaks is an error: a Logs and Next.js story
Stack traces show what broke. Logs show why. A real Next.js bot-protection bug where Sentry logs exposed the missing context and fixed prod.
Product Updates
Eliminating N+1 Queries with Seer’s Automated Root Cause Analysis
Learn how Seer identifies N+1 queries, analyzes trace data, and generates optimized SQL queries to cut query counts from 150 to 1 in minutes.
Product Updates
Introducing webvitals.com: Find out what’s slowing down your site
Analyze, optimize, and ship faster with webvitals.com. Get real user insights without the jargon, then use Sentry to fix the code slowing you down.
Product Updates
The core KPIs of LLM performance (and how to track them)
Track the most important LLM metrics: traffic, tokens, cost, latency, and errors. Learn how to set up dashboards and alerts with Sentry.
