Predictions Series 2022: AiThority Interview with Rahul Pradhan, VP of Product at Couchbase

Hi Rahul. Please tell us about the contemporary trends in DevOps that could influence their association with database management.

I think in 2023, databases will streamline the enterprise technology stack, enabling DevOps to do more with less in Agile.

With today’s organizations dealing with massive amounts of data in an uncertain macro environment, they will continue to move away from relational databases to multi-model databases, which can handle different data types and models, including documents, graphs, and relational and key-value databases – all from a single, integrated back-end.

Multi-model databases provide unified data management, access, and governance. This speeds up time to market and lowers deployment and operational costs, saving resources at a time when budgets are tight. We’ll also see next-generation databases emerge that can seamlessly support both transactions and analytics for real-time business insights. No longer will businesses need a separate vendor solution for operational analytics.

What kind of future should CIOs prepare for with serverless environment?

No doubt, serverless architectures will continue to gain momentum.

The emergence of serverless technologies has transformed the way applications and software are built right from application architectures to the DevOps toolchain to the economics of software development.

Serverless Architecture will continue to see strong adoption across the stack. The serverless compute offerings across various cloud providers have seen an accelerating adoption. This trend will continue across the application stack with the availability and adoption of serverless data tiers by all major data vendors. Serverless Edge Computing platforms leveraging 5G/6G’s ms latencies and AI optimizations will facilitate a Cloud Continuum across multi-cloud and edge locations.

Please tell us more about the exciting world of Edge Computing.

I prefer calling the future as “The rise of Distributed Clouds and the Cloud-edge Continuum.”

Let’s first understand what is a Distributed Cloud architecture.

A distributed Cloud is an architecture where multiple clouds are used to meet compliance needs, performance requirements, or support edge computing while being centrally managed by the public cloud provider. Edge computing technologies that enable real-time analysis of information closer to the point of data generation will be adopted by the mainstream. Multi-cloud and edge locations will give rise to increased adoption of distributed cloud for best-of-breed services, resiliency, and eliminating vendor lock-in. The distributed cloud will have cloud services deployed at different physical locations across clouds, to the edge, and on customer premises.

Top Interview:

AiThority Interview with Kirt Morris, Chief Equity Officer at Merkle

Enabling this flexibility by deploying cloud services physically closer to the point of computation unlocks several real-time and low-tenancy use cases while addressing data sovereignty, data gravity, and regulatory requirements where the location of the underlying infrastructure is determined by the point of need. The distributed cloud model forms the underpinning of a composable infrastructure approach we have started seeing customers adopt this year and will continue to gain momentum.

What message do you have for DevOps community?

Developers will drive Edge Adoption with emerging technologies in 2023.

Emerging Technologies like WebAssembly (WASM) will start to gain more mind-share and adoption as developers start using these as significant accelerators of the edge story. WASM’s portability, security, and low resource overhead along with the lack of a cold start problem make it ideal for the edge. We are starting to enable database processing to be done within a browser that can be done at the edge. This brings compute closer to the data and eliminates costly network transfer costs of replicating data to the cloud while processing and providing actionable insights in real-time close to the data source.

The trend and adoption of the distributed cloud with technologies that enable this with WASM and 5G/6G will accelerate the emergence of a distributed database that can reside and process data in real-time at the edge while synchronizing data back across multiple cloud regions and providers.

Recommended: Ideanomics Launches Digital Team, Forms Strategic Partnership with Google Cloud

Thank you, Rahul! That was fun and we hope to see you back on AiThority.com soon.