APX is a platform that deploys targeted AI agents to continuously monitor your production infrastructure. Think of it as a team of specialized engineers watching your systems 24/7, proactively detecting and fixing issues before they impact users. Our AI agents integrate with GitHub, Datadog, Sentry, and Postgres to identify
APX is an AI agents platform that monitors production infrastructure using your existing tooling to detect performance issues, and suggest targeted fixes. Our AI agents integrate with GitHub, Datadog, Sentry, and Postgres to identify problems and either push fixes directly or deliver high-impact recommendations. They work like a team of
Datadog cost surprises are more common than you'd think. I’ve written about how Datadog’s defaults can quietly spiral out of control, like when a GKE Autopilot user saw their Datadog bill increase 20x due to unexpected Prometheus scraping. The root cause? Overlapping defaults that not even
Deploying on a Friday afternoon is always a gamble. Last Friday, we pushed what seemed like a routine front-end update, until users started reporting errors. A null object slipped through, breaking part of the UI. Normally, this would trigger a bunch of Sentry alerts. But Sentry alerts are noisy, and
Spending on observability platforms has gotten out of control. It is often the number two cost behind a company’s main cloud vendor, representing up to 25% of the engineering team’s budget. I saw this firsthand when I was part of the engineering team at Coinbase, where I built
Imagine opening your Datadog bill and seeing a 20x increase. You dig deeper and discover thousands of “custom metrics” flooding into Datadog—metrics you didn’t configure, expect, or even recognize. That’s exactly what happened to a GCP user running workloads on GKE Autopilot. I’ve said this before,
Migrating from SQL Server to Postgres is a significant move for organizations looking to reduce costs, improve scalability, and future-proof their data infrastructure. But database migrations are costly and time consuming. They frequently run overtime, carry significant business risks, and are a significant opportunity cost. So if you’re going
Snowflake vs. Databricks: who’s better for your company’s AI initiatives? Competition between the two has been heating up for years, and their recent announcements at the 2024 Snowflake Summit and Databricks’ Data+AI conference reflect the intensifying shift towards enabling AI capabilities for their users. It's
In this post, we explore the limits of single-node Postgres and what optimizations can extend its usefulness as a primary application database before requiring more advanced scaling solutions. Monolithic ecommerce app on RDS PostgreSQL Let's use a real-world scenario, a monolith web application that uses PostgreSQL as the
What's missing from APMs? Sales are dropping on your ecommerce shop. Customers are getting sluggish response times when they're viewing products for sale. As a backend engineer supporting your Ruby on Rails and PostgreSQL ecommerce platform, you spring into action using your available tools. Your primary
Do you have a Rails app built on PostgreSQL and need to scale it to millions of users? In this interview, I speak with Andrew Atkinson, one of StepChange's expert consultants, who brings deep expertise in optimizing Rails applications for performance and scalability. Andrew’s expertise is backed
Having discussed why Postgres performance tuning matters, and how to write better queries to optimize performance, it’s time to look beyond the basics towards more advanced techniques in Postgres performance tuning and monitoring. I’ll share how you can use tools like pg_stat_statements for query analysis, implement