DevelopersDevOpsFeaturedKubernetesLet's TalkObservability /MonitoringVideo

Kubernetes Makes It Easy To Deploy And Manage Massive Databases | Sanjeev Mohan

0

In this episode of TFiR Let’s Talk from KubeCon + CloudNativeCon EU, Swapnil Bhartiya sits down with Sanjeev Mohan, Principal Analyst at SanjMo, to discuss the key trends he is seeing with data and Kubernetes. Mohan is amazed at how Kubernetes is enabling companies to deploy databases more effectively and efficiently.

“A few years ago, if I were to deploy a database on hundreds of nodes, it would take me days. What if a node went down and I had to reinstall it? Today, what I’m seeing is an extreme scale of databases provisioned literally within hours,” he said.

Observability was one of the hottest topics of discussion at KubeCon this year. Mohan shares his views on its challenges and why he feels organizations need to change how they see the role observability plays in the pipeline.

Key highlights from this video interview are:

  • Deploying a database on hundreds of nodes would have taken days just a few years ago; however, nowadays it’s much quicker utilizing Kubernetes’ deployment automation. Mohan discusses the trends he is seeing with Kubernetes adoption and how it is progressing.
  • Although Kubernetes was originally meant for stateless workloads, this was problematic for data. Mohan explains why asset compliance has become such an integral part of doing stateful management using Kubernetes. He shares his insights into why data has lagged behind applications.
  • Mohan talks about how Kubernetes is helping not only to manage the growing amount of data, but also deploying it faster and extracting value from it. He explains the dichotomy we are seeing with large companies using Kubernetes to build their own databases while others are using serverless APIs, where the end-user does not see Kubernetes.
  • Mohan shares his views on the three key trends he is seeing in the Kubernetes space: data observability, streaming, and semi-structured and unstructured data. He goes into detail about how they are evolving and being adopted.
  • Observability needs to be part of a two-pronged approach, observing and then taking action. Mohan sees a trend where many people think observability is one of the many components in the environment. However, he believes that it needs to be seen as the orchestrator of the pipeline.
  • Mohan talks through the challenges he sees with data and analytics architecture being micro-segmented to a point where it is specialized further and further. He explains how this is complicating the stack by having to stitch together the different pieces.
  • Many feel that silos are being broken with the DevOps movement; however, Mohan has a different perspective. He explains the trends in the transition of how architecture has evolved, alternating between centralized and decentralized, and what he believes will be the outcome in the future.

Connect with Sanjeev Mohan (LinkedIn, Twitter)

The summary of the show is written by Emily Nicholls.

Read Transcript

Don't miss out great stories, subscribe to our newsletter.

Organizations Lack Confidence In Their Open Source Software Security: Report

Previous article

Exploring Key Trends In Securing The Software Supply Chain With Kenny Johnston, GitLab

Next article
Login/Sign up