MOUNTAIN VIEW, Calif.—August 30, 2018—Couchbase Inc., creator of the world’s first Engagement Database, today announced the launch of the first NoSQL autonomous operator for Kubernetes. Now available, the Couchbase Autonomous Operator for Kubernetes is an application-specific controller that vastly reduces complexity, human error and manual management of database services, resulting in streamlined operations, more efficient consumption of resources and cloud portability.
Couchbase Autonomous Operator extends the Kubernetes API to create, configure and manage instances of complex stateful applications on behalf of a Kubernetes user. It builds upon the basic Kubernetes resource and controller concepts, but also includes domain or application-specific knowledge to automate common tasks better managed by computers. Whether an enterprise is using a single-provider, hybrid cloud or cross-cloud strategy, Couchbase Autonomous Operator is deployment agnostic, thereby enabling multicloud deployment and migration seamlessly.
As Kubernetes continues to gain momentum and IT organizations increasingly adopt cloud computing and embrace newer technologies like microservices, mobile, IoT and more, Couchbase identified the following key roadblocks that hinder progress:
- High operational costs: Manually deploying and managing hundreds of database instances across multiple geographies increases cost, effort and complexity.
- Vendor lock-in: A lack of standardization to ensure data can be moved freely and safely between cloud providers has made it difficult to switch providers quickly or work with multiple providers.
- Delayed time to market: Customers with applications using microservice architectures have difficulties managing and scaling database clusters in siloed systems, extending development times and making it harder to support their applications.
The Couchbase Autonomous Operator for Kubernetes was built to address and overcome these challenges for the enterprise by providing:
- Automated operations: Beta users report reductions of up to 95 percent of the operational complexity, which lowers operational costs.
- Cloud-agnostic deployment and management: Offers enterprise customers with multicloud strategies the ability to deploy, manage and move their applications to and from any cloud, at any time.
- Unmatched agility and flexibility: Allows customers who have adopted microservice architectures to run their database next to their application, reducing the DevOps cycle and decreasing time to market.
“As a software engineer, one of the things I am least excited about is managing shell scripts. The Couchbase Autonomous Operator for Kubernetes alleviates that pain and completely automates management of Couchbase on our Kubernetes cluster. It’s a game changer.”
–David Downey, Software Developer, BD Global Health
“The Couchbase Autonomous Operator for Kubernetes is a marvelous addition to the Couchbase ecosystem, reducing our IT administration overhead by at least 80 percent. It sets the bar for all other clustered databases in any cloud environment.”
–Brant Burnett, Systems Architect, CenterEdge
“Couchbase is collaborating with Red Hat to bring the benefits of the Operator Framework to applications like the Couchbase Data Platform. With Couchbase’s distributed NoSQL database on Red Hat OpenShift Container Platform, customers have even more options to provide modern application portability across hybrid and multicloud environments. Red Hat OpenShift Container Platform is a strategic deployment platform for the Couchbase Autonomous Operator, which is now available in the Red Hat Container Catalog registry.”
–Jack Baratta, Senior Director, Global ISVs and Alliances
“The Couchbase Autonomous Operator for Kubernetes sets a new standard for Kubernetes in production deployments. For the first time, a fully distributed, scalable, enterprise-class database that can be orchestrated by Kubernetes is generally available to enterprises wishing to automate the deployment, monitoring, scaling and managing of database applications both on-premises and in public cloud environments seamlessly. By automating these traditionally manually intensive services, enterprises can significantly compress their ‘time to market.’”
–Ravi Mayuram, SVP of Engineering and CTO, Couchbase