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We have a cloud computing platform called Workers. Unlike essentially every other cloud computing platform I know of, it doesn’t use containers or virtual machines. We believe that is the future of Serverless and cloud computing in general, and I’ll try to convince you why.
workerd is the JavaScript/Wasm runtime code that powers Cloudflare Workers, now open source under the Apache 2.0 license
Cloudflare is hosting a competition to see who will build the next Git platform for an era of AI agents. Artifacts is in open beta, with Workers bindings, data jurisdiction controls, and event subscriptions for repository changes.
We’re introducing cf, a new unified CLI designed for consistency across the Cloudflare platform, alongside Local Explorer for debugging local data. These tools simplify how developers and AI agents interact with our nearly 3,000 API operations.
Cloudflare K2 is a serverless event streaming service built directly on top of R2 object storage for high-scale data movement and long-term retention. By decoupling producers and consumers at the edge, K2 enables durable, ordered log streams without the operational overhead of traditional broker clusters.
How much does it really cost to buy more powerful cloud compute resources for development work? A lot less than you think.
We are excited to launch Workers AI - an AI inference as a service platform, empowering developers to run AI models with just a few lines of code, all powered by our global network of GPUs
COBOL is often a source of amusement for programmers because it is seen as old, verbose, clunky, and difficult to maintain. COBOL can now be used to write code for Cloudflare’s serverless platform Workers.
Durable Objects provide a truly serverless approach to storage and state: consistent, low-latency, distributed, yet effortless to maintain and scale. They also enable coordination and real-time collaboration between clients.
We’ve been working on something new — a platform for running containers across Cloudflare’s network. We already use it in production, for AI inference and more. Today we want to share an early look at how it’s built, why we built it, and how we use it ourselves.
We’re excited to announce that CloudFlare has just been named a Google Cloud Platform Technology Partner. So what does this mean?
Almost two years ago CloudFlare started working with Go. What started as an experiment on one network and concurrency heavy project has turned into full, production use of Go for multiple services.
We designed and built Cloudflare’s network to be able to grow capacity quickly and inexpensively; to allow every server, in every city, to run every service; and to allow us to shift customers and traffic across our network efficiently.
Today Lyft is excited to announce the open sourcing of Flyte, a structured programming and distributed processing platform for highly…
A year after pledging to eliminate two-tier product access, Cloudflare has expanded Logpush, multi-account governance, and higher platform limits to all accounts. Here is an update on our progress, how we dogfood these tools internally, and what is coming next.
Ottr is a serverless Public Key Infrastructure framework that handles end-to-end certificate rotations without the use of an agent. The…
How we reinvented our developer environment by going cloud native to keep up with increasing complexity and exponential growth.
Forge is a pluggable, open-source pipeline that runs in CI to generate SDKs, CLIs, and documentation directly from API definitions. By shifting generation upstream into individual team repositories, Forge keeps developer tools continuously in sync.
CloudFlare is an engineering-driven company. This is a story we're proud of because it embodies the essence of who we are: when faced with a problem, we found a novel solution.
Cloudflare is launching eight major updates that bring logs, traces, analytics, alerts, dashboards, querying, and telemetry export into one observability platform, with simpler and more predictable pricing.
Learn why using AI agents to author Terraform code is safer than direct API calls for Stripe configuration. Get transparent, consistent, and auditable infrastructure with code review workflows.
In early 2023, Slack faced a foundational challenge: serving Large Language Models (LLMs) at enterprise scale with the security, reliability, and performance our customers expect. Over three years, we evolved from basic infrastructure to orchestrating a sophisticated multi-cloud architecture. We didn’t just want shiny new models; we needed a system resilient to regional outages and…