Topic
Delivery, reliability, observability and incident learning.
Why Zephon? The data that a model sees during training is one of the most powerful levers we have for influencing how well it performs. Much of the day to day work... The post Bringing Elastically Deterministic Data Loading to TorchTitan with Zephon appeared first on PyTorch .
Prasanna Vijayanathan , Renzo Sanchez Silva When Jake Paul and Mike Tyson stepped into the ring in November 2024, we delivered the fight to roughly 65 million concurrent streams. On an ordinary day our infrastructure takes in more than 2 billion requests and handles upwards of 38 million real time logging events…
Uber has developed an automated dependency analysis system that uses RPC middleware and production metrics to correlate caller and downstream failures. The approach classifies dependencies as fail close, fail open, or unknown and addresses limitations of sampled distributed tracing for rare failures across Uber’s…
A recent InfoQ webinar examined operational challenges in deploying agentic systems. Key points included issues like semantic and embedding drift, which can lead to significant errors. Experts discussed the need for automated code reviews, continuous evaluation of models, and enhanced privacy measures. The session…
Stripe Data Pipeline now supports real time sync to Postgres. Connect Neon from the Stripe Dashboard and query live payment, subscription, and customer data next to your app data, without building API or webhook integrations.
Grafana Labs is proposing a familiar reliability engineering approach for one of the less familiar problems in modern software: how to measure whether an AI agent is actually behaving well. By Craig Risi
When you’re on the go, your phone is often the only observability tool you have. And what you can do with it in the first few minutes matters. With the incredible innovation that has gone into mobile CPUs, GPUs and displays, a phone is a powerful device where you can immediately see what’s happening and start acting…
For a decade, Vercel has shaped how the web is built. Now, we’re doing the same for agents. The companies that win the next decade will build on infrastructure designed for agents from the start, and thousands of people gathered across London, Berlin, New York, Sydney, and San Francisco to do just that at Vercel Ship…
Adaptive Metrics , which is part of the Adaptive Telemetry suite, looks at how your metrics are actually used and recommends how much detail you should keep for each metric. This helps you cut costs while still retaining the data you actually need. Last year we added auto apply capabilities that let you implement…
Software only has value when shipped; faster release cadence matters. Development, deployment, and operations require different thinking, metrics, and investments. There are four impacts in tech: product success, compute capacity, engineering capacity, and strategic innovation. The biggest expense is people. AI…
Sync real time Stripe data to Supabase from the Stripe Dashboard. Data Pipeline backfills and keeps it in sync, with no webhooks or rate limits to manage.
Deploy the new version from a Git branch to a preview or staging environment with its own URL and test database; only the main branch deploys production.
Applications rely on current Stripe data to fulfill orders, update customer accounts, and manage access to paid features. Until now, developers have had to build and maintain custom integrations to keep application databases in sync with Stripe. We’re introducing real time sync to Postgres for Stripe Data Pipeline,…
Learn the top AI agent security risks, from prompt injection to excessive autonomy and credential exposure, and how to contain them.
When strikes hit Yandex data centers, many assumed Russian bot operations went dark. Cloudflare data reveals that while search crawling stopped, malicious bots simply migrated to other networks.
A comparison of declarative deployment config systems across cloud providers.
In September, we experienced two incidents that resulted in degraded performance across GitHub services. The post GitHub availability report: September 2026 appeared first on The GitHub Blog .
By Yogesh Nagarur Introduction In Part 1 of this series , we shared how Netflix built the Ads Event pipeline and approached it as a system design problem: replacing fragmented pipelines with a centralized collection, enrichment, and a standard data contract. The result was Ads Event Publisher, the system that…
Netflix Conductor : The Next Chapter by Aravindan Ramkumar on behalf of the Conductor team Conductor is the workflow orchestration engine Netflix uses to stitch micro services into reliable, observable business processes. If you’ve followed Conductor from the outside, the last thing you heard was probably the note on…
By Emma Yanyang Kong , JJ Tan , Ishan Gupta , Lars Olds , Claire Campbell , David Fagnan , Ratna Kavuri , Rohan Gosain , Veli Balin , Minsu Jang , Louis Garcia Introduction Any team generating text with an LLM at scale hits the same problem. You cannot evaluate everything manually. You don't know which outputs are…
