Hari Chandrasekhar

Early community perspectives on AWS EKS Auto Mode from Reddit, Medium, and LinkedIn, summarizing key points about cloud cost, productivity, security, and high availability benefits. Overview of compatibility and customization trade-offs to help evaluate if EKS Auto Mode suits your Kubernetes needs.

This blog explores the importance of selecting the correct instance types for rightsizing in Google Cloud Platform (GCP) Virtual Machines (VMs), emphasizing how businesses can optimize costs and performance. It covers various GCP instance categories, including general-purpose, compute-optimized, memory-optimized, and accelerator-optimized instances, and explains the key factors to consider when rightsizing. Additionally, the blog highlights the role of GCP’s built-in tools like GCE Rightsizing Reports and the benefits of using Sedai’s AI-driven platform to automate and optimize resource allocation in real-time, ensuring efficient and cost-effective cloud infrastructure management.

Managing costs effectively in Azure Kubernetes Service (AKS) is crucial for optimizing performance and ensuring scalability without overspending. This blog delves into the key components of AKS pricing, including control plane, node pools, data transfer, and storage costs. It also explores actionable strategies for cost optimization, such as leveraging auto-scaling, Spot VMs, rightsizing resources, and utilizing cost management tags. You’ll also learn about various approaches to resource optimization—manual, automated, and autonomous—to help businesses achieve efficiency while keeping costs under control.

This blog provides an in-depth look at the key components of AWS EKS pricing, including the control plane, worker nodes, data transfer, and storage costs. It breaks down how each element contributes to overall expenses and explores cost-effective strategies tailored for EKS environments. You’ll find insights on using various pricing models, including EC2, Fargate, and Outposts, and practical tips on leveraging Reserved and Spot Instances for savings. Additionally, the article discusses how businesses can adopt manual, automated, and autonomous approaches to cost management, with a special focus on optimizing resource allocation, auto-scaling, and workload management. Learn how intelligent, real-time solutions can help you streamline EKS operations and reduce costs without sacrificing performance.

Optimize Kubernetes performance and cost with Karpenter and Sedai. Learn how AI-driven insights enhance node provisioning, predictive scaling, and instance selection.

Learn how to seamlessly integrate Infrastructure as Code (IaC) with autonomous systems for cloud cost & resource optimization. This guide explores strategies for maintaining DevOps best practices while leveraging AI-driven optimization in CI/CD pipelines, ensuring your IaC remains accurate and your cloud costs are minimized. Ci/CD tools mentioned include Jenkins, Argo CD, Circle CI and GitLab CD. IaC tools mentioned include Terraform, Ansible, AWS Cloud Development Kit (CDK), Puppet and Helm. A case study showing how Gitlab IaC is integrated with Sedai's autonomous optimization capability at KnowBe4, a leading cybersecurity platform is included.

A technology company achieved a 25% cost saving across 1,400 Kubernetes services with Sedai's autonomous optimization technology by rightsizing Dev/Test environments. AI-powered autonomous optimization optimized Kubernetes requests and limits in Kubernetes workloads and optimized instance count and type. An AI driven approach was more effective than manual optimization, especially given the small spend on each individual service. Optimization is one key capability of Sedai's autonomous cloud management platform.

In the past few years, we have seen a huge increase in adoption for Kubernetes. Kubernetes is an excellent platform, which provides you with all the facilities to fine-tune your application and run it the way you need. We at Sedai, use Kubernetes for deploying our applications along with surveillance and some other managed services from AWS. One question we get a lot is “Is there a need for another system or an autonomous system to manage Kubernetes?” Kubernetes is in fact a declarative system, an excellent one at which you can specify the needs of running your application, and Kubernetes will take care of the rest.