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Series
27 posts

Cloudflare Edge Platform

An ongoing record of updates to Cloudflare’s edge platform components and services, extending past where "The Cloudflare Edge Stack" series left off.

Series guide

Cloudflare Workflows: Durable Multi-Step Execution on Workers

Cloudflare Workflows turns multi-step Workers processes into durable steps: each step can retry, sleep, wait for events, and register rollbacks, while instances can be inspected, paused, resumed, or terminated. Queues fit single-step background work; Workflows fit long processes that must remember progress.

How to Use Cloudflare Email Service: Sending, Routing, and Product Notifications from Workers

Cloudflare Email Service connects transactional email, magic links, notifications, and inbound routing to Workers. Arbitrary outbound sending currently requires Workers Paid; inbound routing is available on Free and Paid, with DNS, quota, message-size, bounce, and anti-spam limits still shaping the design.

How to Use Cloudflare Observability: Workers Logs, Traces, and Analytics Engine

Workers Observability is for debugging and request tracing; Workers Analytics Engine is for high-cardinality product events and custom metrics; GraphQL Analytics API is for querying existing Cloudflare product data. Keeping those roles separate prevents logs from becoming a database and keeps billing, monitoring, and product analytics from blending together.

How to Use Cloudflare Containers: When Workers Need a Full Linux Runtime

Cloudflare Containers let a Workers app call on-demand serverless containers for workloads that need a full filesystem, a specific runtime, existing container images, or more CPU, memory, and disk. They do not replace Workers; Workers still handle entry, routing, and platform bindings while containers run the heavy runtime-specific work.

How to Use Cloudflare Agents: Durable Runtime, Tools, and Real-Time Connections

Cloudflare Agents turns an agent session into a durable runtime: each agent instance has stable identity, local SQLite, WebSockets, scheduled work, recoverable execution, and tools. It is not just a chat example; it composes Workers, Durable Objects, AI models, Browser, Sandbox, AI Search, and MCP into a deployable agent app.