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Akamai

Akamai Technologies is a global content delivery network (CDN), cybersecurity, and cloud service company. It provides solutions for accelerating and securing online content and applications, ensuring high performance, reliability, and protection against cyber threats for websites and digital experiences worldwide.

Category / Domain Cache
I/O Performance Empirical Profile

Core Information

#core_information

Name, description, vendor website, logo, technology type and tags.

Overview & Role

Akamai Technologies is a global content delivery network (CDN), cybersecurity, and cloud service company. It provides solutions for accelerating and securing online content and applications, ensuring high performance, reliability, and protection against cyber threats for websites and digital experiences worldwide.

Domain Classification & Tags

Performance Profile

#performance_profile

Typical read and write throughput, payload size and processing latency.

Read Performance Profile

Throughput: Terabits per second (Tbps) of content delivery across its network, billions of requests per second served globally

Payload Size: Varies widely, from small HTML/CSS/JS files (KB) to large video streams (MB to GB)

Processing Latency: Typically 20-100 ms (time to first byte, depending on origin distance and cache hit ratio)

Write Performance Profile

Throughput: Not directly applicable in the traditional sense; Akamai ingests content from origins. Ingestion rates depend on origin server capabilities and network bandwidth.

Payload Size: Not directly applicable; content is pushed to Akamai's edge from origin servers. Payload size for this 'write' would be the size of the cached content.

Processing Latency: Not directly applicable; content propagation to edge servers can take seconds to minutes, depending on configuration and network conditions.

Architecture Diagram

#architecture_diagram

Reference diagram of the technology's internal architecture.

Component Architecture & Topology

open_in_new Standalone Tab

Features

#features

Catalogued product capabilities and what each one does.

Empirical data for features is currently being compiled in the global catalog.

Typical Use Cases

#typical_use_cases

Scenarios the technology is commonly chosen for.

Empirical data for typical use cases is currently being compiled in the global catalog.

Known Customers

#known_customers

Publicly referenced organisations using the technology.

Empirical data for known customers is currently being compiled in the global catalog.

Known Integrations

#known_integrations

Other products and services it is documented to work with.

Empirical data for known integrations is currently being compiled in the global catalog.

Connectors

#connectors

Directional data connections to other technologies, with direction and maturity.

Empirical data for connectors is currently being compiled in the global catalog.

Reference Architectures

#reference_architectures

Published architectures where the technology is used or mentioned.

No published reference architecture blueprints currently link to Akamai.

Security Features

#security_features

Built-in security and access-control capabilities.

Empirical data for security features is currently being compiled in the global catalog.

Known Issues

#known_issues

Documented limitations, defects and operational pitfalls.

Empirical data for known issues is currently being compiled in the global catalog.

Guidelines

#guidelines

Recommended practices for adopting and operating the technology.

Empirical data for guidelines is currently being compiled in the global catalog.

Standards & Compliance

#standards_and_compliance

Standards, certifications and control requirements it maps to.

Empirical data for standards & compliance is currently being compiled in the global catalog.

Sources

#sources

Documentation and research references behind the recorded information.

Empirical data for sources is currently being compiled in the global catalog.

Expert Validation

#expert_validation

Whether domain experts reviewed and confirmed the content.

Empirical data for expert validation is currently being compiled in the global catalog.