DevOps Evaluated
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AWS CodeCommit

AWS CodeCommit is a fully managed source control service hosted by Amazon Web Services that makes it easy for teams to host secure and highly scalable private Git repositories. It eliminates the need to operate your own source control system or worry about scaling its infrastructure.

Category / Domain DevOps
I/O Performance Empirical Profile

Core Information

#core_information

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

Overview & Role

AWS CodeCommit is a fully managed source control service hosted by Amazon Web Services that makes it easy for teams to host secure and highly scalable private Git repositories. It eliminates the need to operate your own source control system or worry about scaling its infrastructure.

Domain Classification & Tags

Performance Profile

#performance_profile

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

Read Performance Profile

Throughput: Not directly quantifiable in typical throughput metrics (e.g., MB/s or ops/s) for a Git repository. Performance is more about clone/fetch/pull times for repository sizes.

Payload Size: Varies significantly based on repository size and the specific Git operation (e.g., cloning a 1GB repo vs. fetching a few new commits).

Processing Latency: Typically measured in seconds to minutes for large operations (e.g., cloning a multi-GB repository) and milliseconds to seconds for smaller operations (e.g., fetching latest changes). Dependent on network latency and repository size. AWS documentation emphasizes high availability and durability but doesn't provide specific latency numbers for Git operations.

Write Performance Profile

Throughput: Not directly quantifiable in typical throughput metrics. Performance is about push times for changes.

Payload Size: Varies significantly based on the size of the changes being pushed (e.g., a few KB for code changes vs. MBs for large binary files).

Processing Latency: Typically measured in seconds for pushes, dependent on network latency and the size of the changes. AWS documentation emphasizes high availability and durability but doesn't provide specific latency numbers for Git operations.

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 AWS CodeCommit.

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.