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The Cloudflare Blog

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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Traffic Acceleration with Cloudflare Mobile SDK
Cloudflare Team · 2018-12-13 · via The Cloudflare Blog

We’re excited to announce early access for Traffic Acceleration with Cloudflare Mobile SDK. Acceleration uses novel transport algorithms built into the SDK to accelerate apps beyond the performance they would see with TCP. Enabling Acceleration through the SDK reduces latency, drives down network timeouts, and improves app user experiences.

A year ago, we launched Cloudflare Mobile SDK with a set of free features focused on measuring mobile app networking performance. Apps are dependent on network connectivity to deliver their app’s user experiences, but developers have limited visibility into how network connectivity is impacting app performance. Integrating the Mobile SDK allows developers to measure and improve the speed of their app’s network interactions.

How it works

Mobile applications interact with the Internet to do everything — to fetch the weather, your email, to step through a checkout flow. Everything that makes a smartphone magical is powered by a service on the Internet. How quickly those network interactions happen is dictated by two things: how large the payloads are for the given request/response, and what the available link bandwidth is.

Payload size is mostly application specific: a shopping app is going to request product images and similar medium sized assets, while a stock quotes app could be expected to have smaller payloads in the API responses powering it.

Available link bandwidth is usually dictated by your network provider. Everyone familiar with the feeling of trying to check out in an e-commerce app and being stymied by poor cell connectivity. But network quality is not the only thing that impacts available bandwidth; the transport protocol (at Layer 4, in OSI-model-speak) in use also has a huge impact on how quickly your phone can pull content off the Internet.

A primer on TCP congestion control

TCP is the dominant transport protocol for most applications you know and love. It’s over 40 years old, and impressive in both its simplicity and longevity (they are likely related). TCP relies on congestion control algorithms to understand how quickly to send traffic over a connection without congesting the link (filling the pipe to the point things start getting backed up).

Congestion is something to be avoided. TCP guarantees reliable delivery, and cleaning up from a congestion event often involves additional round trips and retransmits. TCP implementations are often conservative in two important dimensions: how much data they choose to send on connection establishment (called the initcwnd, or initial congestion window), and what to do when the sender senses packet loss (congestion avoidance).

Source: https://commons.wikimedia.org/wiki/File:TCP_Slow-Start_and_Congestion_Avoidance.svg

An example of the data rate on a connection over time. Congestion avoidance is illustrated in pink.

How TCP opens connections and how it responds to packet loss are critical factors in determining how much data actually gets to flow over the connection. Tuning TCP connection parameters allows more data to flow over the link without actually touching the actual physical layer (i.e. boosting your cell signal).

Moving beyond TCP

Unfortunately, TCP parameters governing a connection’s data rate are hidden in the kernel, out of reach of user space and the optimizing, enterprising app developer. Cloudflare Mobile SDK aims to solve this problem by shipping a replacement transport protocol implemented on top of UDP, which the SDK can speak with the Cloudflare edge.

There are three advantages to replacing TCP with a custom UDP transport protocol:

  1. Performance tuning, bug fixes, and incremental updates to the protocol itself can be done without any downtime or coordination with the kernel. This is not the case with TCP.

  2. Middle-boxes' (eg. corporate proxies, etc) assumptions on how TCP works have made improving TCP very difficult. UDP based protocols don't suffer from the same middle-box ossification.

  3. Having tight control and coordination between the send-side Cloudflare edge and receive-side Mobile SDK makes optimizing individual connections possible, even over very dissimilar mobile netwoks.

All of these factors lead directly to reduced latency, increased throughput, and improved user experiences.

Integrating with SDK and example results

Once an app is integrated with the SDK, enabling Acceleration is straightforward. Most standard HTTP networking libraries are supported out of the box, and require no additional integration work beyond initializing the SDK with your API key.

Customers accelerating their traffic with Cloudflare Mobile SDK see significant reductions in latency, increases in throughput, and reductions in TCP related timeouts.

As an example, a transportation company enabled acceleration in their iOS app. Their users immediately saw a 7% decrease in network response time and a 13.8% drop in network timeouts. This directly translates to an increase in conversions: purchases per user increased 3% with Acceleration enabled.

Early Access

We’re excited to bring Acceleration to a broader audience. Get in touch with us for early access. Mobile SDK supports both iOS and Android.

In addition to developing features to improve app performance, we’re working hard on features to better authenticate mobile devices with the APIs that power them. Why is this important? Non-humans (bots) are increasingly interacting with the APIs that power apps to scrape data, stuff credentials, and otherwise act in ways humans would not.

The Mobile SDK will soon include features to help API owners understand whether or not the user purporting to be using an app actually is a real mobile user. We’ll have a lot more detail on this soon; if you’re interested in hearing more sooner, please get in touch!