Intel Granulate blogs: Technology
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...
EC2 Auto Scaling: How It Works, Examples, and Key Challenges
Amazon Elastic Compute Cloud (EC2) Auto Scaling is a feature that ensures the right number of Amazon EC2 instances are available for an...
AWS ECS Pricing: 4 Pricing Models and Best Practices
Amazon doesn’t charge extra to launch or run containers with EC2. You pay for the resources used to run the applications, including Elastic...
The 4 Biggest Kubernetes Cost Challenges and Best Practices for Optimization
Discover the optimal Kubernetes cost-performance balance and best practices for Kubernetes cost optimization.
Optimizing Python: Why Python Is Slow and 4 Optimization Methods
Python optimization is the process of improving performance of Python programs, despite the inherent disadvantages of the technology.
Kubernetes Costs: Managed Kubernetes Pricing and 4 Ways to Cut Your Costs
Understand the cost of running Kubernetes on managed platforms, and how to use auto-scaling mechanisms, downsizing and right-sizing to reduce...
Azure Autoscaling: A Practical Guide
Autoscaling is the process of dynamically allocating resources to meet performance requirements, in a cloud environment it can be performed in...
Cloud Optimization Best Practices for AWS, Azure, and GCP
Cloud optimization is the process of eliminating wasted cloud resources by selecting, configuring, and tuning resources for specific workloads.
Optimizing Kafka Performance
In this blog, we cover everything you need to know about optimizing Kafka performance to make sure latency remains low and throughput high.