Bengaluru Kubernetes Meetup – May’24

Kubernetes Meetup - May24

After a long time I spoke at the Bengaluru Kubernetes Meetup last weekend. It was attended by close 150+ people at the Red Hat Office. There were talks on GitOps, CI/CD, KEDA and Ingress. I gave a talk on CNCF and AI, in which I summarised the Cloud Native Artificial Intelligence whitepaper; which was published in […]

Cloud Native and Artificial Intelligence

We all know that using the Cloud Native method is the most effective way to manage Web Applications on a large scale. With the help of both public and private clouds, we have addressed all possible issues such as hardware availability, ability to grow, networking, storage, and managing multiple users, which may arise with these […]

Machine Learning on Kubernetes – Containerizing a Model

Containerizing an ML Model

In the 3rd session of “Machine Learning on Kubernetes” Book Club session we discussed how we can take a machine learning model and containerize it. You can find more details about the series and previous two recording here. We started the session by doing the quick review of Machine Learning and then looked a basic […]

Machine Learning on Kubernetes

Machine Learning on Kubernetes

As a part of Kubernetes Book Club initiative we are currently exploring Machine Learning on Kubernetes. For reference we are using the book Machine Learning on Kubernetes but also planing to cover additional content to make sure we all understand all the basics and apply them in real-work scenarios. With our discussion in book club […]

Empowering Data Science: Running Jupyter Notebooks at Scale with Kubernetes

Introduction In today’s data-centric landscape, organizations are constantly seeking innovative ways to extract insights and drive decision-making processes. Jupyter Notebooks have emerged as essential tools for data scientists, offering an interactive environment for data exploration, visualization, and analysis. However, as data volumes grow and computational demands increase, the need for scalable and efficient infrastructure becomes […]

Top Key Takeaways from KubeCon NA 2023

Read about the most talked items of the KubeCon NA 2023 in Chicago A few days back, KubeCon + CloudNativeCon North America 2023 wrapped up in the windy city of Chicago, Illinois, at the McCormick Place West building. People from all around the world attended the event in person and virtually. The venue was filled with brilliant folks […]

Unlocking Container Sequencing: Embracing Kubernetes’ Native Sidecar

Managing Pod-Based Smooth Workflow Orchestration and Functionality Extension Kubernetes is a standard for container orchestration in the industry. Traditionally, We use a multi-container design pattern to extend the main container’s functionality but can’t control the order of container execution.  Let’s understand with a scenario, If the proxy container for logging will start after the main […]

Improving Kubernetes Audit Logs: Parseable Integration Tactics

Simplifying Cluster Security and Oversight by Using Vector Agents Kubernetes has become the standard container orchestration tool for microservice-based deployments and managing large business applications. As Kubernetes has so many features, using and managing it can be difficult, especially keeping track of activities in the cluster. The main goal of this hands-on lab is to […]

Autoscale Applications with KEDA and Prometheus Scalerautoscaling

To use Kubernetes Event-Driven Autoscaling (KEDA) along with Prometheus to scale applications in Kubernetes cluster Applications running inside the Kubernetes cluster need to be scaled according to the load it encounters with. Scaling is an important process for better performance of the application. Kubernetes provides Horizontal Pod Autoscaler (HPA) to scale applications with the help of resource […]

Exploration of Kubernetes Metadata: Labels, Selectors, and Annotations

A Deep Dive into Kubernetes Resource Classification and Configuration Overview Kubernetes, a container orchestrator, is designed to handle applications at scale. While working with multiple objects we may need to group them. Metadata like, labels, selectors and annotations play an important role while configuring and working with kubernetes objects. Labels and selectors are used to select […]