The Granulate Blog: Kubernetes
Pod vs. Instance Resource Rightsizing for Efficient Kubernetes
Which is better, rightsizing on the pod or instance level? Find out which strategy is best for Kubernetes efficiency.
The CTO’s Secret Weapon in 2024: Optimizing for Growth
Discover the key to digital growth for CTOs in 2024. Uncover insights on cloud optimization and cost-efficient tech strategies to drive business...
Reducing the Carbon Impact of Kubernetes with Optimization
Find out why Kubernetes and optimized cloud environments are a useful tool for minimizing carbon footprint.
Understanding the Core Challenges in Kubernetes Cost Optimization
Venture into Kubernetes cost optimization's three primary challenges — Overprovisioning, Instance Rightsizing, and Effective Workload...
5 Effective Strategies for AWS Kubernetes Cost Reduction
Learn effective EKS cost-reduction methods to mitigate the expenses of AWS Kubernetes, from configuring services to optimizing the workload.
Session Recap: Best Practices for Embracing EKS for Spark Workloads
If you missed the live session, read this recap on the best practices for embracing EKS for Spark workloads.
Advanced Optimization Techniques for Red Hat OpenShift
Use the following RedHat OpenShift techniques to make sure your clusters are benefitting from efficient management.
Session Recap: Lowering Your TCO of Kubernetes With Arun Gupta
Summary of a session with Arun Gupta on the fundamental shift from piecemeal to holistic Kubernetes optimization.
How Enterprises Can Avoid Kubernetes Sprawl Through Optimization
Discover how to avoid sprawl and optimize your enterprise Kubernetes cluster for reliability and cost efficiency with these best practices.
Kubernetes VPA: How It Works, HPA vs. VPA, and 7 Best Practices
Kubernetes Vertical Pod Autoscaling (VPA) is a feature that enables automatic adjustment of the resource allocation for individual pods in a...
Cluster Autoscaler Basics, Pros and Cons, and 8 Best Practices
Cluster Autoscaler is a Kubernetes feature that automatically adjusts the number of worker nodes in a cluster based on the workload demands.
The Fundamental Principles of Kubernetes Capacity Management
These fundamental Kubernetes capacity management principles go a long way in making sure that setups are optimized for business use.
Managing Kubernetes Resources in Your Cluster (CPU, Memory and More)
In Kubernetes, you can specify the amount of CPU and memory that a pod is allowed to use—known as resources—using resource limits and...
Granulate Announces Red Hat OpenShift Certification
Granulate's workload optimization solutions are now available to Red Hat OpenShift customers.
EKS Pricing in EC2 and Fargate—and How to Pay Less for EKS
The basic price of EKS per is $0.10 per hour per Kubernetes cluster. In addition, you need to pay for other resources used by the cluster, such...
Kubernetes Autoscaling: Methods and Best Practices
There are several autoscaling tools provided by Kubernetes—the most important are Horizontal Pod Autoscaling (HPA), Vertical Pod Autoscaling...