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The day my ping took countermeasures Announcing Claude Compliance API support with Cloudflare CASB Announcing Claude Managed Agents on Cloudflare Project Glasswing: what Mythos showed us Our billing pipeline was suddenly slow. The culprit was a hidden bottleneck in ClickHouse Browser Run: now running on Cloudflare Containers, it’s faster and more scalable When "idle" isn't idle: how a Linux kernel optimization became a QUIC bug Building For The Future How Cloudflare responded to the “Copy Fail” Linux vulnerability When DNSSEC goes wrong: how we responded to the .de TLD outage Code Orange: Fail Small is complete. The result is a stronger Cloudflare network Introducing Dynamic Workflows: durable execution that follows the tenant Post-quantum encryption for Cloudflare IPsec is generally available Agents can now create Cloudflare accounts, buy domains, and deploy Shutdowns, power outages, and conflict: a review of Q1 2026 Internet disruptions Making Rust Workers reliable: panic and abort recovery in wasm‑bindgen Moving past bots vs. humans Building the agentic cloud: everything we launched during Agents Week 2026 The AI engineering stack we built internally — on the platform we ship Orchestrating AI Code Review at scale Introducing the Agent Readiness score. Check to see if your site is agent-ready Shared Dictionaries: compression that keeps up with the agentic web Redirects for AI Training enforces canonical content Unweight: how we compressed an LLM 22% without sacrificing quality Agents that remember: introducing Agent Memory Agents Week: network performance update Introducing Flagship: feature flags built for the age of AI Cloudflare’s AI Platform: an inference layer designed for agents Building the foundation for running extra-large language models AI Search: the search primitive for your agents Deploy Postgres and MySQL databases with PlanetScale + Workers Artifacts: versioned storage that speaks Git Email for agents - Cloudflare Email Service now in public beta Project Think: building the next generation of AI agents on Cloudflare Introducing Agent Lee - a new interface to the Cloudflare stack Register domains wherever you build: Cloudflare Registrar API now in beta Browser Run: give your agents a browser Rearchitecting the Workflows control plane for the agentic era Add voice to your agent Managed OAuth for Access: make internal apps agent-ready in one click Securing non-human identities: automated revocation, OAuth, and scoped permissions Scaling MCP adoption: Our reference architecture for simpler, safer and cheaper enterprise deployments of MCP Secure private networking for everyone: users, nodes, agents, Workers — introducing Cloudflare Mesh Building a CLI for all of Cloudflare Durable Objects in Dynamic Workers: Give each AI-generated app its own database Agents have their own computers with Sandboxes GA Dynamic, identity-aware, and secure Sandbox auth Welcome to Agents Week 500 Tbps of capacity: 16 years of scaling our global network From bytecode to bytes- automated magic packet generation Cloudflare targets 2029 for full post-quantum security How we built Organizations to help enterprises manage Cloudflare at scale Why we're rethinking cache for the AI era Our ongoing commitment to privacy for the 1.1.1.1 public DNS resolver Introducing EmDash — the spiritual successor to WordPress that solves plugin security Introducing Programmable Flow Protection: custom DDoS mitigation logic for Magic Transit customers Cloudflare Client-Side Security: smarter detection, now open to everyone How we use Abstract Syntax Trees (ASTs) to turn Workflows code into visual diagrams A one-line Kubernetes fix that saved 600 hours a year Sandboxing AI agents, 100x faster Inside Gen 13- how we built our most powerful server yet Launching Cloudflare’s Gen 13 servers- trading cache for cores for 2x edge compute performance Powering the agents: Workers AI now runs large models, starting with Kimi K2.5 Introducing Custom Regions for precision data control Standing up for the open Internet- why we appealed Italy’s Piracy Shield fine From legacy architecture to Cloudflare One Announcing Cloudflare Account Abuse Protection: prevent fraudulent attacks from bots and humans Slashing agent token costs by 98% with RFC 9457-compliant error responses AI Security for Apps is now generally available Building a security overview dashboard for actionable insights Investigating multi-vector attacks in Log Explorer Translating risk insights into actionable protection: leveling up security posture with Cloudflare and Mastercard Fixing request smuggling vulnerabilities in Pingora OSS deployments Active defense: introducing a stateful vulnerability scanner for APIs Complexity is a choice. 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Introducing Secrets and Environment Variables to Cloudflare Workers
Cloudflare Team · 2020-02-26 · via The Cloudflare Blog

2020-02-26

3 min read

The Workers team here at Cloudflare has been hard at work shipping a bunch of new features in the last year and we’ve seen some amazing things built with the tools we’ve provided. However, as my uncle once said, with great serverless platform growth comes great responsibility.

One of the ways we can help is by ensuring that deploying and maintaining your Workers scripts is a low risk endeavor. Rotating a set of API keys shouldn’t require risking downtime through code edits and redeployments and in some cases it may not make sense for the developer writing the script to know the actual API key value at all. To help tackle this problem, we’re releasing Secrets and Environment Variables to the Wrangler CLI and Workers Dashboard.

Supporting secrets

As we started to design support for secrets in Workers we had a sense that this was already a big concern for a lot of our users but we wanted to learn about all of the use cases to ensure we were building the right thing. We headed to the community forums, twitter, and the inbox of Louis Grace, business development representative extraordinaire, for some anecdotes about Secrets usage. We also sent out a survey to our existing users to learn about use cases and pain points.

We learned that even though there was already a way to store secrets without exposing them via Workers KV, the solution was not very intuitive, nor did it meet all the needs of our users. Many users didn’t even know we had an interim solution in place. Recognizing that we were not the first platform to encounter this problem, we surveyed the existing landscape of Platform as a Service offerings to get a better sense for what our users would expect of us.

Deciding on a solution

One of the first things we found was that not all environment variables are created equal. While the simplest use case for having a defined environment variable may be storing a piece of text that can be updated no matter where it is referenced in a script, sometimes those variables may have higher stakes associated with them. If you’re storing an API key that controls access to an important system, you may not want to allow anyone with dashboard access to see it, maybe not even the developers themselves.

With this in mind, we had to ensure the feature covered two different use cases: one for storing variables in plain text where you could see the variable being referenced and make edits to it and another where the variable would be encrypted as soon as you save it, never to be seen again. This way, we were able to serve both needs of our users, side by side, without one compromising for the other.

Testing our prototypes

Once we had a fairly good idea of what we wanted to build, we built some prototypes and rough implementations in staging environments so we would be able to perform some usability testing. We wrangled up some developers and observed them as they performed a series of tasks where they were asked to add some secrets and plain-text environment variables, reference them in one of their Workers, and bind their Worker to a Worker KV namespace.

Along the way we also asked questions to understand the developer’s professional background, familiarity with the product, and the use cases they’ve had for using Workers in the past along with any pain points they experienced.

While we were testing the new dashboard interface we also began testing the usability of the Wrangler CLI. We had Wrangler users perform the same tasks as the Workers dashboard users to help us find out if users are expecting different things out of their command-line tooling.

Findings and fixes

Through our testing we were able to make a number of changes before the final release. Some of the smaller changes included things like adjusting the behavior of form fields to ensure users knew which variable would be associated with each value. We also made larger changes like electing to separate the KV namespace bindings from the other environment variables as a way to emphasize that KV namespace bindings are not the keys and values themselves but a reference to a namespace where those keys are stored.

Cina, one of our engineers, put together a proposal to align some of our terminology with the terms that our developers were naturally using to describe their workflow. In Wrangler users were accustomed to referencing their KV namespaces by adding a KV namespace binding so when they came to the Workers dashboard interface and saw a field called “KV Variables” they were often confused, thinking they were adding keys and values to the namespace itself instead of establishing a variable that could be used to reference the namespace. As a fix, we decided to call it a “KV namespace binding” throughout the experience.

Try it out

Environment variables are available now with the Wrangler CLI and in the Workers Dashboard so go ahead and give them a shot today!

Adding a secret with Wrangler

Managing environment variables and KV bindings in the Workers Dashboard

As we continue to build out the Workers platform we’d love to hear from you. Let us know if you’re interested in participating in user research or just have something to say as we’d love to hear from you.

ServerlessCloudflare WorkersAPICloudflare Workers KVDesignSecurityDevelopersDeveloper Platform

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