Couchbase improves Kubernetes operator to deliver cloud native
|Brittany Hainzinger in Programming Thursday, April 30, 2020|
Couchbase Advances Its First-In-Market Kubernetes Operator to Deliver a Cloud Native, Fully Autonomous Database Management Platform Couchbase Autonomous Operator for Kubernetes 2.0 introduces several enterprise-grade capabilities including security, resource management, monitoring, high-availability, and cross-cloud compatibility.
Couchbase announced Version 2.0 of the Couchbase Autonomous Operator for Kubernetes (“Autonomous Operator”), the most mature and advanced operator in the industry. As enterprises continue to move to the cloud, DevOps, and microservices architectures, Autonomous Operator Version 2.0 helps to:
- Empower Developers: Unlocks developers’ productivity with self-service access to the database while standardizing development, test, pre-production, and production environment. It also avoids database silos by running, managing, and scaling the Couchbase database next to microservices applications on the same Kubernetes platform.
- Create Business Agility: Accelerates development of responsive cloud-native applications thanks to the cloud-agnostic application deployment and management platform that enables developers to migrate between clouds freely. Autonomous Operator also allows users to manage growth with on-demand scaling easily.
- Streamline Operations and Costs: Reduces DevOps workload by running Couchbase as an autonomous, fully managed stateful database application; specifically, it reduces operational complexity up to 95% by implementing the operational best practices that most efficiently deploy and manage Couchbase.
- As a result, organizations have greater freedom than ever to develop, test, and roll out innovative new services.
Reducing operational complexity through automation
Autonomous Operator users have already reported a 95 percent reduction in operational complexity, which has resulted in a significant reduction in operational costs. Version 2.0 further streamlines complex management tasks with a host of new features, including: Automated User & RBAC Management, Automatic Backup & Restore Management, and Auto-Configuration of Cross Datacenter Replication Management. With these new features, Autonomous Operator continues to help enterprises transition from legacy systems to lower-cost cloud native systems in a dramatically simplified fashion.
Reducing risk through greater control and visibility
As well as reducing operational costs through automation, Version 2.0 gives users control and visibility, including: a Fine-Grained advanced Kubernetes Operator Security Model, Certificate Management using Mutual TLS Support, and Centralized Monitoring and Alerting using Prometheus, the de-facto cloud-native standard. No matter the number of database clusters they deploy, organizations can be confident they have complete oversight and are minimizing risks.
Simplifying deployment by eliminating database silos in a microservices architecture
The Autonomous Operator enables Couchbase Server to be run next to microservices applications on the same Kubernetes platform. This eliminates infrastructure silos caused by having to run stateful database applications separately to the container-based microservices they support, which accelerates the time to market of applications by simplifying deployment and reducing the DevOps workload. Version 2.0 adds Simplified Deployment for Couchbase Sync Gateway in Kubernetes alongside Autonomous Operator, enabling further simplification of deploying edge applications and connecting them to the central databases deployed in the cloud.
Supporting hybrid and multi-cloud by eliminating vendor lock-in
As more businesses adopt a ‘cloud-first’ strategy and race to adopt hybrid or multi-cloud architecture, a major concern is vendor lock-in; finding that options are constrained because the capabilities needed will only operate on certain infrastructures. With Autonomous Operator, enterprises can run a Couchbase cluster on any cloud, including Red Hat OpenShift, Google Kubernetes Engine (GKE), Amazon Elastic Kubernetes Service (EKS), and Microsoft’s Azure Kubernetes Service (AKS).
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