Couchbase, the creator of the enterprise-class, multicloud to edge NoSQL database, announced more than 120 enterprises –representing some of the largest companies in the world–are using Couchbase Autonomous Operator, the most mature NoSQL database operator available on the market. As organizations accelerate their journey to the cloud, the need to automate and scale workloads and reduce costs has driven the adoption of containerization tools such as Kubernetes. Version 2.1, available this winter, extends Couchbase Autonomous Operator’s leading position, enabling greater standardization of developer services and increased control over costs.
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Since its launch in August 2018, companies such as Amdocs, Amadeus, Staples, BD Health, CenterEdge, and several others have been leveraging Couchbase Autonomous Operator (CAO) as a key part of their cloud automation strategy. CAO plays an important role in organizational transformation towards a cloud-native, CI/CD DevOps model. Businesses have reported that CAO smooths organizational transformations, reducing operational complexity by 95% with a single, programmatic architecture for deployment. DevOps need only change a handful of values in a YAML configuration file to invoke a topological reassignment, rebalance or upgrade of an entire distributed Couchbase cluster environment, reducing the cluster maintenance workload from months down to a few keystrokes. This accelerating adoption is a direct consequence of businesses being able to bring high-value applications to market more quickly.
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The rise of the cloud economy
COVID-19 has accelerated adoption of cloud-native services such as containers even further. Placing greater urgency on digital transformation projects that previously would have taken four or five years, the pandemic has made swift cloud adoption a necessity rather than a ‘we’ll-get-there’ priority. Standardizing integration, operations and architecture is crucial for organizations to deploy on any cloud. And it’s crucial that each deployment is trustworthy so IT teams can focus on developing new services for the business vs. managing cloud architecture. These are key driving forces behind the popularity of Kubernetes, and consequently, the strong adoption of Couchbase Autonomous Operator.
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