Our great sponsors
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keda
KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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karpenter-provider-aws
Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
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aws-graviton-getting-started
Helping developers to use AWS Graviton2 and Graviton3 processors which power the 6th and 7th generation of Amazon EC2 instances (C6g[d], M6g[d], R6g[d], T4g, X2gd, C6gn, I4g, Im4gn, Is4gen, G5g, C7g[d][n], M7g[d], R7g[d]).
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
The first step to optimizing costs is gaining visibility into your costs using tools. Kubernetes provides a Metrics Server and kube-state-metrics that can give you the overall picture of resource utilization by your cluster. There are more tools that provide more granular breakdowns and provide dashboards with business metrics, infra cost, and alerting functionalities. Here are some strategies to optimize your resource utilization and cloud bills on k8s.
HPA is more commonly used and is the preferred option for situations with a sudden increase in resource usage. KEDA.sh can help flexibly autoscale the application based on custom metrics, like the size of a queue or number of network requests.
The Kubernetes Autoscaler (Cluster Autoscaler) automatically adjusts the size of the Kubernetes cluster by spinning up new nodes when pods have insufficient resources.
💡 Karpenter.sh takes a more intelligent, faster approach to autoscaling and improve availability on AWS.
AWS: Graviton-powered instances (Arm64 processor architecture)