Cloudflare
A global network that brings compute, security, and storage to the edge. Workers run JavaScript in over 300 locations worldwide.
ClearView
Compute at the edge
Cloudflare deploys application code to its whole network at once: a Worker runs in whichever location a request arrives, so there is no region to choose and no replication design to maintain. The runtime is built on V8 isolates rather than containers, which is why a Worker starts in milliseconds and costs nothing while idle.
State lives beside the compute. KV stores configuration and content for fast, eventually consistent reads; Durable Objects give a single authoritative instance where requests must agree; D1 provides relational storage; R2 holds objects with no egress fees. The same network carries the security services, WAF, DDoS protection, bot management and Zero Trust access, so protection and application logic share one control plane.
The platform fits APIs and web applications whose audience is spread across geographies and whose per-request compute is light: authentication, routing, rendering, composition over other services. The constraints are the trade: CPU time is limited, processes do not live between requests, and the runtime is web-standard JavaScript rather than full Node. CPU-heavy work, long-running jobs and systems bound to a single-region relational database are the wrong fit, and belong on AWS, often with Cloudflare in front as the edge.
Cloudflare was used by 20.1% of respondents to the 2025 Stack Overflow Developer Survey.
Breaking changes to the Workers runtime ship behind compatibility dates, so a deployed Worker keeps its behaviour until its compatibility date is deliberately advanced.
- Edge Computing
- Web Security
- CDN Optimisation
- Zero Trust Networks
Our Cloudflare capabilities
Cloudflare Workers
We build applications on the developer platform with the store chosen per access pattern: KV where reads dominate and staleness is tolerable, Durable Objects where requests must agree through one consistent instance, and D1 where the data is relational. R2 holds objects, and Queues and scheduled triggers run through the same bindings, so background work stays on the platform. Projects run TypeScript end to end, and wrangler gives a local runtime that mirrors production closely.
- Workers
- KV
- Durable Objects
Security & protection
Security work on Cloudflare is configuration with judgement: managed WAF rulesets tuned to the application in front of them, rate limits shaped to real traffic, and bot rules that distinguish automation you want from automation you do not. Zero Trust access replaces VPN reach with identity checks per application, which is how internal tools get an audience of named people rather than a network range. DDoS absorption happens at the network layer without configuration; the engineering effort goes into the application layer above it.
- WAF
- DDoS
- Zero Trust
Performance optimisation
Performance work starts with what is cacheable: cache keys, TTLs and invalidation designed around the application's actual change frequency rather than defaults. Where a response is almost cacheable, a Worker closes the gap, composing cached fragments with the small dynamic part so the origin is consulted less often. Results are measured from real-user timings across geographies rather than from a single test location.
- CDN
- Caching
- Edge compute
Why Adaca for Cloudflare?
Workers platform mastery
Workers, KV, Durable Objects, Queues, and the full Cloudflare developer platform.
Edge-native architecture
Applications designed to run at the edge for minimal latency and maximum availability.
Security configuration
Advanced WAF rules, DDoS mitigation, and Zero Trust network architecture.
Performance engineering
CDN optimisation, caching strategies, and edge computing for global performance.
Full-stack edge
Complete applications on Pages, Workers, D1, and R2.
Migration to edge
Moving traditional server-side applications to edge-first architectures.
How We Staff It
Workers development is TypeScript development, staffed from the same pool that carries Adaca's TypeScript and Node.js work. The platform specifics, from bindings and Durable Objects patterns to Zero Trust configuration, sit with engineers who have shipped on Cloudflare before.
Adaca is a Cloudflare partner, and its delivery work on the platform spans Workers, AI Gateway and Zero Trust.
Common Questions
Should we move our API to Workers or keep a conventional origin?
Workers suit an API whose handlers coordinate more than they compute: authentication, routing, aggregation over other services, and reads against KV or D1, served from whichever location the request lands in. A conventional origin remains the right choice when handlers are CPU-heavy, hold long-lived connections to a regional database, or depend on the full Node.js ecosystem.
The choice does not need to be made once for the whole API. A common shape keeps the origin and moves endpoints outward one at a time, starting with those dominated by latency rather than computation.
We already pay for a CDN and a WAF; is consolidating onto Cloudflare worth it?
The case rests on the control plane more than the line items. Separate CDN, WAF and access products mean separate rule languages, separate logs and separate failure modes; on Cloudflare the same configuration surface governs caching, firewall rules and access policy, and one set of logs shows a request's whole path.
The migration cost sits mainly in re-expressing WAF rules and cache behaviours, work that is finite and testable against mirrored traffic.
Is Cloudflare Workers a good platform for AI-assisted development?
One of the better ones, for a structural reason: the API surface is small and web-standard. A Worker is written against fetch, Request, Response and a short list of typed bindings, so the patterns a coding agent needs are few, consistent and densely represented in public code.
The runtime's constraints help in the same direction. With no filesystem, no background processes and state confined to explicit bindings, generated code has fewer places for side effects to hide, and TypeScript checks the binding contracts before deployment.
Does Adaca work on Cloudflare when it is not the primary platform?
Yes. Cloudflare often enters an estate as a layer rather than a platform: DNS, WAF and caching in front of an origin that stays where it is. Adaca takes engagements at that layer alone, and moving compute into Workers is recommended only where the workload shape suits it.
Commercially the shape matches any other stack: engagements start at one engineer, terms are three, six, nine or twelve months chosen up front, and a shortlist usually arrives within 48 hours of a brief.