Blog
Unit Costs in Action: Strategies for Effective Kubernetes Cost Allocation
Explore effective Kubernetes cost allocation through FinOps principles like Shared and Unit Costs. This approach, devoid of specialized tools, utilizes meticulous tagging and manual metrics for precise client-specific allocation, ensuring transparent resource utilization and cost management in the cloud.
Cloud Waste Management: A Win-Win for Sustainability and Efficiency
Cloud computing has become an essential part of modern business, but it can also be a major source of waste. This waste can have a significant financial and environmental impact.
CO2 Emission Dashboard Analysis of the top three Cloud Providers (AWS, Azure, GCP)
The cloud carbon footprint is a crucial metric that measures the amount of carbon dioxide emissions generated by a company's cloud computing operations. The carbon footprint is calculated by assessing the direct and indirect emissions from the cloud infrastructure and energy used by cloud services.
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.
