Blog
Kubernetes cost optimization on AWS
Running microservices on Kubernetes clusters is a modern way to provide your application to end users and customers. On cloud service providers like AWS it is possible to use EC2 auto-scaling that spins up new compute instances based on the current load of the cluster (dynamic scaling) or predefined quantity in a scheduled time plan.
Building a K8S Operator to manipulate your Managed Cluster Nodes
For our WebAssembly Special Interest Group at Liquid Reply we wanted to build a proof of concept that allows us to run WebAssembly workloads on regular Kubernetes nodes which are managed by a Cloud Provider like AWS, Azure or GCP. As WebAssembly images require a modified OCI runtime, in our case CRUN, with support to run WebAssembly. CRUN needs to be compiled, or replaced on the node with a version that has WebAssembly readily compiled.
Relationship between Rightsizing resources, Carbon Footprint & Cloud expenses
The technique of matching cloud instance types and sizes to the workload performance and capacity requirements at the lowest possible cost is known as Rightsizing.
The key compute utilization metrics to consider while rightsizing are vCPU, Memory, Network and Disk use (Virtual IT Resources). Usage patterns play a key role in rightsizing, to properly estimate rightsizing, we need to analyze cloud usage patterns.
Cloud GreenOps - Sustainable Business
Awareness about Carbon Footprint
Enforce Compute Sustainability through Policies
