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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…
Microsoft will scale its Maia accelerator family to multi gigawatt deployments from 2027, making it the primary inference system for its own products. Maia 300 collapses scale up and scale out onto one Ethernet fabric and moves KV state between prefill and decode workers without leaving it. Practitioners have…
We put NVIDIA's new Vera CPU through its paces using the full TPC H workload on scale factor 1,000.
Offload settled Postgres data to ClickHouse to reduce storage and query costs while keeping active transactions in Postgres.
Neon Realtime is live in public beta. Any SQL query can now be a live query. Subscribe to it and the result stays up to date as your data changes. That makes your whole app reactive, with no polling or refetch logic.
Managed ClickStack now flags unusual values on the charts you already use with built in z score anomaly detection, and a faster, sharded scheduler lets teams bring tens of thousands of alerts over from tools like Grafana.
Harbor can now run every eval task in Docker Sandboxes Docker Sandboxes are MicroVM environments to run agents like Claude Code, Codex, Cursor, and more safely With Sandboxes, define custom network policies for fair, reproducible evals Run your evals locally or in the cloud: starting for free on Docker Sandboxes on…
By Kevin Zielnicki, Guy Aridor, Aurélien Bibaut, Allen Tran, Winston Chou, and Nathan Kallus Introduction Personalization is everywhere on the internet. It shapes the products we discover, the stories we read, the music we hear, and the movies and TV shows we watch. At Netflix, personalization has been central to the…
By Oleksii Tkachuk , Rajiv Shringi , Chris Lohfink , Abe Ratnofsky , Kartik Sathyanarayanan Introduction In an earlier post , we introduced the TimeSeries Abstraction, our high throughput, low latency platform designed to store and query temporal event data at scale. It has since become the operational backbone for…
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 Prashanth Gedde Narayanaswamy As one of Netflix’s largest and critical data pipelines, member sessionizer consolidates tens of billions of hourly client events, encompassing user taps, playbacks, and engagement signals, into individual viewing sessions per profile. A quick two week tuning effort spiraled into two…
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…
By Violetta Pidvolotska and Naveen Mareddy Stratum is Netflix’s internal serverless media processing platform, shaped by over a decade of experience developing large scale distributed systems. It powers a wide range of media workloads — including encoding, packaging, inspection, and quality scoring — behind playback,…
Ridgeline rebuilt its performance analytics on ClickHouse Cloud, querying decades of Iceberg history alongside recent data so it can serve investment managers 10x larger than before and more than double the customers live on its platform.
GitHub’s context aware secret classifier improves detection quality, raises weighted acceptance by 11.5%, and reduces median scan execution time by 86%. The post GitHub’s model for secret detection: Finding more secrets with less noise appeared first on The GitHub Blog .
A deep dive into how D1 architected its control plane to scale and manage millions of databases, while keeping data plane query operations at the edge. We share guiding principles on how to build on the Developer Platform effectively.
TL;DR The PyTorch based software stack for IBM’s Spyre accelerator recently moved its torch.compile backend from sendnn, a separate compilation stack built entirely from scratch, to backend=inductor, an open source backend built... The post Extending Inductor for the IBM Spyre Accelerator appeared first on PyTorch .
AWS has introduced an enhanced Custom Event Bus for Amazon EventBridge, targeting a problem that often emerges when event driven architectures move beyond a single team or AWS account: the event infrastructure itself becomes fragmented. By Craig Risi
As our merges per day grew more than tenfold, source control became our biggest development bottleneck. Here, we share how we migrated to an in house version control system in five months.
