UPDATED 08:00 EST / NOVEMBER 12 2024

CLOUD

Akamai rolls out packaged platform for distributed Kubernetes applications

Akamai Technologies Inc. today announced Akamai Application Platform, described as a packaged platform for deploying, managing and scaling highly distributed applications.

Akamai Application Platform is built on top of Otomi, a productivity suite for Kubernetes with preconfigured applications and self-service tasks that Akamai acquired from Red Kubes Holding B.V. earlier this year. Its templates address common challenges in deploying, managing and scaling Kubernetes clusters at large scale by automatically provisioning required capabilities for simpler deployment. Akamai said the technology cuts deployment times from months to minutes.

The Application Platform provides developers with prepackaged, customizable templates with essential capabilities for running applications on a Kubernetes cluster, a framework that integrates preconfigured upstream open-source projects, a self-service environment for engineering teams to build, deploy, secure and maintain applications, and a catalog of templates based on industry best practices and open-source cloud-native tools.

The platform is aimed at development and operations teams at all stages of deployment, integrators that want to avoid the complexity of managing infrastructure, and independent software vendors that want ship their applications on prebuilt configurations.

The platform reduces the complexity of managing Kubernetes clusters by incorporating preconfigured and production-ready Kubernetes environments that simplify setting up and maintaining clusters. It includes open-source tools for observability, security, compliance, secrets management, continuous integration and development, a service mesh and cloud-native storage.

Security and observability features include real-time threat detection and monitoring tools for insights into application performance. The platform can be combined with services from Akamai Connected Cloud to build scalable, distributed, low-latency applications.

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