Armory simplifies deployments to Kubernetes at scale—now for both Armory Enterprise and Spinnaker OSS users
Armory, the company that simplifies software deployment complexity, is announcing general availability of Armory Agent for Kubernetes, a lightweight, distributed service that monitors Kubernetes clusters and streams real-time changes back to Spinnaker’s Clouddriver service. The Armory Agent for Kubernetes enables Armory Enterprise customers and Spinnaker OSS users to deploy to thousands of Kubernetes clusters with enhanced performance and security.
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“Armory Agent for Kubernetes accomplishes this by making it easy to reach true enterprise scale, minimize onboarding bottlenecks, and address unique deployment environment needs.”
According to D2iQ, 89% of organizations are running Kubernetes in production. However, 94% of surveyed organizations state Kubernetes is a source of complexity, with security concerns (47%) and difficulty scaling (37%) as the most common challenges. The Armory Agent for Kubernetes addresses both security and scaling concerns because it runs natively in any Kubernete’s cluster, distributing both the caching workload and account management.
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The distributed architecture of the Armory Agent for Kubernete’s greatly reduces operational complexity. This enables customers to scale their Spinnaker deployments to thousands of clusters and namespaces, both on-prem and in the public cloud. Customers can also accelerate onboarding new clusters by running Agent inside their clusters. Critically, security posture is radically improved by consuming cluster data via Agent’s outbound GPRC connections, replacing the need for additional security groups, open ports, or special IAM accounts.
“When we discovered our customers were creating manual workarounds to deal with the complexity of managing 100+ Kubernete’s accounts, we knew we could create a better user experience,” said Andrew Backes, Head of Engineering, Armory. “Armory Agent for Kubernetes accomplishes this by making it easy to reach true enterprise scale, minimize onboarding bottlenecks, and address unique deployment environment needs.”
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