What is API acceleration?

API acceleration refers to the process of increasing the speed, reliability, and availability of APIs and web APIs. Because APIs are used by so many different applications, any latency in processing responses can lead to significant lag or performance issues, which result in a poor experience for users. API acceleration strategies and technologies are designed to increase performance and availability, and deliver faster and better online user experiences.

With which types of traffic does API Acceleration work?

API Acceleration works with XML, JSON, and other small transactional and programmatic traffic types.

What types of tools are available for DevOps in API Acceleration?

API Acceleration offers many ways for developers to improve API functions, including: • Scale on demand: Effortlessly scale your endpoints for peaks using preferred capacity on the edge • High reliability: Drive down API response errors for high CPU traffic by utilizing specialized hardware on the edge • API response caching: Offload your origin through advanced caching logic for REST and GraphQL APIs • Authenticate: Authorize requests at the edge using JWT validation • CI/CD integrations: Seamlessly merge Akamai development with extant DevOps workflows with APIs for everything, as well as Akamai CLI • Serverless computing: Preconfigured and open computation directly at the edge for rapid delivery • Early-stage testing: Shift testing to the left so developers can proof their code early on • Fast purge and metadata activation: For rapid content and configuration changes

For which types of applications is API Acceleration best suited?

API Acceleration is beneficial for applications with: • Highly distributed users, such as a public API • Dynamic, non-cacheable content that has a high volume of requests • Asymmetric traffic flow, such as telemetry or beacons that often have more ingress than egress • Bidirectional communication between the app and origin, such as chat, gaming, or social media • B2B data feed, in some instances server to server, where demand originates from a concentrated location • Flash crowds that cause rapid spikes in requests, such as gate drop events, betting applications, and online auctions

API Acceleration

Optimize API performance and availability while enhancing user experiences

Deliver consistent, secure API experiences with route optimization, response caching, and edge-based authentication. Akamai API Acceleration scales instantly during peak events, reduces origin load, and helps keep cloud costs predictable — backed by a 100% availability SLA. With serverless capabilities and IP-based access control, it streamlines development and protects your origin infrastructure.

Read the product brief

What to look for in an API delivery and acceleration platform

Global edge footprint with a 100% availability SLA or equivalent guarantees
Intelligent routing and automated failover to minimize latency and avoid congested or failing paths
Edge caching for REST and GraphQL, with fine-grained cache keys, TTLs, and conditional revalidation
Edge-based authentication and access control, including JWT validation, mTLS, IP allow/deny, and header/payload filtering
Origin protection features such as shielding, connection pooling, request collapsing, and surge protection
Real-time observability for latency, error rates, cache hit ratio, and traffic patterns
Seamless DevOps integration: APIs/CLI, Terraform support, CI/CD-friendly staging and fast activation, instant purge
Serverless at the edge for lightweight auth, orchestration, and response shaping
Security integrations for WAF/WAAP, bot mitigation, DDoS protection, and API discovery

How Akamai API Acceleration improves performance and reliability

Offload: Move high-volume and repetitive API traffic to the edge, reducing origin compute and egress.
Deliver: Serve cached responses and route dynamic requests over optimal network paths for consistently low latency.
Secure: Validate JWTs and enforce access controls at the edge to stop unwanted traffic before it hits origin.
Safeguard: Automatic origin failover keeps APIs available if a region or origin becomes impaired.

Compared to serving directly from origin, customers typically see: - Lower tail latency from proximity-based edge delivery and optimized routing - Fewer origin errors and timeouts due to shielding, connection reuse, and queueing at the edge - Smoother flash-event handling thanks to pre-positioned capacity and intelligent cache policies

Key capabilities

Intelligent routing and origin failover for consistent performance worldwide
Edge caching for REST and GraphQL with configurable cache keys, TTLs, and validation rules
100% availability SLA to keep production APIs online through peak traffic spikes
Edge-based authentication with JWT validation and IP controls to protect origin infrastructure
Serverless edge compute for authentication and API orchestration to accelerate development
Real-time insights into API performance indicators, including latency, error rates, cache efficiency, and traffic trends
DevOps-ready workflows with full API coverage, Akamai CLI, fast purge, and rapid metadata activation
Works with small transactional traffic types including JSON and XML

Handling traffic spikes with edge caching and intelligent routing

Cache where it’s safe: Use resource-specific cache keys, honor ETag/Last-Modified, and apply short TTLs plus conditional revalidation to reduce origin load while keeping data fresh.
Apply stale-while-revalidate/serve-stale-on-error patterns for resilience during origin stress or brief outages.
Shield your origin: Enable an origin shield layer and connection pooling to collapse duplicate requests and minimize origin fan-out.
Prefer edge capacity: Use reserved capacity at the edge and automated routing to saturated PoPs to absorb flash crowds close to users.
Monitor and tune: Track cache hit ratio, p95/p99 latency, error codes, and origin traffic to iteratively tighten cache policies and routing behavior.

DevOps and CI/CD integration

Everything-as-code: Configure properties and policies via APIs, the Akamai CLI, and Terraform-compatible workflows.
Safe deployments: Use staging networks for pre-production validation, automated canaries, and quick rollbacks.
Rapid changes: Activate configuration updates in minutes and purge cache in seconds for immediate policy or data corrections.
Observability: Stream logs and metrics to your analytics stack for build verification and production SLO/SLA tracking. Explore documentation on Akamai TechDocs.

Enterprise API security essentials and discovery

A complete enterprise solution should include: - API discovery and inventory for managed, unmanaged, and shadow APIs - Runtime protection: WAF/WAAP for L7 threats, bot mitigation, DDoS defense, and abuse protection - AuthN/Z at the edge: JWT verification, OAuth/OIDC integration, mTLS, and fine-grained access policies - Schema and contract enforcement (OpenAPI/GraphQL), payload inspection, and sensitive data detection - Abuse controls: IP reputation, geo controls, and traffic anomaly detection - Posture management: Version drift detection, deprecated/unauthenticated endpoints, and exposure scoring - DevSecOps alignment: CI/CD checks, policy-as-code, and automated testing gates - Centralized analytics: Attack telemetry, API performance/security dashboards, and SIEM/SOAR integration

Akamai provides these capabilities through complementary solutions such as API Security and App & API Protector, which integrate natively with API Acceleration.

RFP checklist and KPIs for API security and discovery

Checklist - Discovery coverage across clouds, data centers, and gateways - Shadow/rogue API identification and sensitive data classification - Edge-based JWT/mTLS enforcement and OAuth/OIDC integration - Schema validation for REST/GraphQL and automated contract drift detection - Bot management and L7 DDoS/WAF protections - Policy-as-code, CI/CD integration, and staging/rollback workflows - Data residency controls and compliance reporting - Real-time analytics, SIEM/SOAR connectors, and alerting - Performance safeguards to cap latency overhead at the edge - Support, roadmap, and reference architectures for enterprise scale

KPIs - Discovery time to full inventory and percentage of shadow APIs found - Mean time to detect (MTTD) and mean time to remediate (MTTR) security issues - Blocked attack rate and false positive rate - p95/p99 latency overhead introduced by security enforcement - Cache hit ratio and origin offload percentage for secured endpoints - Availability (SLA adherence), RPS capacity, and failover success rate - Time to deploy (from contract to first protected API) - Total cost of ownership and projected origin egress/compute savings

Akamai API Acceleration vs. Cloudflare API Gateway

Edge caching
Both platforms cache API responses at the edge. Akamai provides advanced cache key controls and GraphQL-aware strategies to maximize safe offload and minimize freshness risk.
Intelligent routing
Both use global anycast and optimized paths. Akamai adds automated origin failover and enterprise-grade shielding to reduce origin error propagation during incidents.
Flash traffic spikes
Both absorb spikes via global edge capacity. Akamai pairs preferred capacity reservations with aggressive origin offload (shielding, request collapsing, and serve-stale patterns) to keep origins stable through sudden surges.
Integration and workflows
Both support APIs, CLI, and infrastructure-as-code workflows. Akamai emphasizes enterprise staging/activation flows and fast purge to align with regulated CI/CD pipelines. Choose based on analytics depth, edge policy flexibility, origin protection options, enterprise SLAs, and fit with your existing SecOps/DevOps stack.

FAQs

What is API acceleration? API acceleration increases the speed, reliability, and availability of APIs. Techniques include intelligent routing, edge caching, and edge-based authentication to reduce latency, improve resilience, and protect origins.
Which traffic types are supported? Small transactional and programmatic traffic, including JSON and XML.
Does Akamai support JWT authentication at the edge? Yes. You can authorize requests by validating JWTs at the edge, reducing round trips to origin and limiting exposure.
How does this fit with DevOps workflows? API Acceleration offers APIs for everything, the Akamai CLI, CI/CD-friendly staging and activation, fast purge, and integration patterns compatible with infrastructure-as-code toolchains.
What applications benefit most?
Public APIs with globally distributed users
High-volume dynamic endpoints that are hard to cache at origin
Asymmetric traffic (e.g., telemetry/beacons), bidirectional flows (chat, gaming), and B2B feeds
Use cases subject to flash crowds (betting, auctions, major releases, “gate-drop” events)

Resources

Deploying HarperDB and Akamai Cloud for faster API performance: Read the blog
Scaling for peak API consumption: View the reference architecture
Modern API architecture — improve security and availability: View the reference architecture

Get started

Try it: Start a free trial
Talk to an expert: Contact Sales
Explore documentation: Visit Akamai TechDocs