How to calculate CPU for containers in k8s dynamically?
https://medium.com/@mathieuces/how-to-calculate-cpu-for-containers-in-k8s-dynamically-47a89e3886eb
It’s possible to dynamically resize CPU on containers in k8s with the feature gate “InPlacePodVerticalScaling”.
Before this feature gate, sizing CPU was error prone and, in reality, we would often put something too high, to not deal with latency.
Too much CPU and precious resources are wasted, too few CPU and the app is slowed. Let’s explore the ways to dynamically resize CPU.
https://medium.com/@mathieuces/how-to-calculate-cpu-for-containers-in-k8s-dynamically-47a89e3886eb
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k8gb: The Best Open Source GSLB Solution for Cloud Native
https://oilbeater.com/en/2024/04/18/k8gb-best-cloudnative-gslb
Balancing traffic across multiple Kubernetes clusters and achieving automatic disaster recovery switching has always been a headache. We have explored public clouds and Karmada Ingress, and have also tried manual DNS solutions, but these approaches often fell short in terms of cost, universality, flexibility, and automation. It was not until we discovered k8gb, a project initiated by South Africa’s Absa Group to provide banking-level multi-availability, that we realized the ingenuity of using various DNS protocols to deliver a universal and highly automated GSLB solution. This blog will briefly discuss the problems with other approaches and how k8gb cleverly uses DNS to implement GSLB.
https://oilbeater.com/en/2024/04/18/k8gb-best-cloudnative-gslb
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Benchmarking Hetzner's Storage Classes for Database Workloads on Kubernetes
https://sveneliasson.de/benchmarking-hetzners-storage-classes-for-database-workloads-on-kubernetes
TLDR: Running Kubernetes on Hetzner offers cost-effective options, but handling production workloads, especially stateful ones like databases, raises concerns. Hetzner provides instance and cloud volume storage options with significant differences in IOPS performance. Longhorn, a distributed block storage system, can be used to leverage local volumes, but benchmarks show a slowdown compared to raw local files. Probably host a datatbase either on a dedicated host or use a hosted option instead.
https://sveneliasson.de/benchmarking-hetzners-storage-classes-for-database-workloads-on-kubernetes
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CloudNativePG Recipe 5 - How to migrate your PostgreSQL database in Kubernetes with ~0 downtime from anywhere
https://www.gabrielebartolini.it/articles/2024/03/cloudnativepg-recipe-5-how-to-migrate-your-postgresql-database-in-kubernetes-with-~0-downtime-from-anywhere
Are you considering migrating your PostgreSQL database from a service provider into Kubernetes, but you cannot afford downtime? Recipe #5 details step-by-step instructions, leveraging CloudNativePG and logical replication, to seamlessly transition from PostgreSQL 10+ to 16 using an imperative method. Learn how to set up initial configurations, execute migrations, and handle various use cases, such as transitioning from DBaaS to Kubernetes-managed databases and performing version upgrades. Emphasizing testing, learning, and compliance with regulations like the Data Act, this guide empowers users to maintain control over their data by migrating to Kubernetes.
https://www.gabrielebartolini.it/articles/2024/03/cloudnativepg-recipe-5-how-to-migrate-your-postgresql-database-in-kubernetes-with-~0-downtime-from-anywhere
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kubevirt
https://github.com/kubevirt/kubevirt
KubeVirt is a virtual machine management add-on for Kubernetes. The aim is to provide a common ground for virtualization solutions on top of Kubernetes.
https://github.com/kubevirt/kubevirt
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How We Migrated from StatsD to Prometheus in One Month
https://engineering.mixpanel.com/how-we-migrated-from-statsd-to-prometheus-in-one-month-fb973af124f5
We recently migrated all of our infrastructure metrics from StatsD to Prometheus and are very pleased with the results. The migration was a ton of work and we learned a lot along the way. This post aims to shed some light on why we migrated to Prometheus, as well as outline some of the technical challenges we faced during the process.
https://engineering.mixpanel.com/how-we-migrated-from-statsd-to-prometheus-in-one-month-fb973af124f5
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Building On-call: Our observability strategy
https://incident.io/hubs/building-on-call/building-on-call-our-observability-strategy
At incident.io, we run an on-call product. Our customers need to be sure that when their systems go wrong, we’ll tell them about it—high availability is a core requirement for us. To achieve the level of reliability that’s essential to our customers, excellent observability (o11y) is one of the most important tools in our belt.
https://incident.io/hubs/building-on-call/building-on-call-our-observability-strategy
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The secret to Terraformʼs efficiency
https://medium.com/@maximonyshchenko/the-secret-to-terraform-efficiency-a76140a5dfa1
*This article is for Terraform heavy users, who manage complex infrastructures.
https://medium.com/@maximonyshchenko/the-secret-to-terraform-efficiency-a76140a5dfa1
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LoxiLB Cluster Networking: Elevating Kubernetes Networking capabilities
https://www.loxilb.io/post/loxilb-cluster-networking-elevating-k8s-networking-capabilities
https://www.loxilb.io/post/loxilb-cluster-networking-elevating-k8s-networking-capabilities
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kubeadmiral
https://github.com/kubewharf/kubeadmiral
KubeAdmiral is a multi-cluster management system for Kubernetes, developed from Kubernetes Federation v2. Kubernetes Federation v2 allows users to manage Kubernetes resources across multiple clusters through the use of federated types such as FederatedDeployment, FederatedReplicaSet, FederatedSecret, etc. KubeAdmiral extends the Kubernetes Federation v2 API, providing compatibility with the Kubernetes native API and more powerful resource management capabilities.
https://github.com/kubewharf/kubeadmiral
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Managing Kubernetes Secrets Dynamically from Vault via External Secrets Operator
https://itnext.io/managing-kubernetes-secrets-dynamically-from-vault-via-external-secrets-operator-7e51d71b56cf
https://itnext.io/managing-kubernetes-secrets-dynamically-from-vault-via-external-secrets-operator-7e51d71b56cf
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jet-pilot
https://github.com/unxsist/jet-pilot
JET Pilot is an open-source K8s IDE. It was created out of frustration, as all "good-looking" K8s IDEs went commercial. Power-users nowaday resort to tools like k9s, which works great, but heavily relies on keyboard input. JET Pilot tries to overcome these usability challenges.
https://github.com/unxsist/jet-pilot
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kube-green
https://github.com/kube-green/kube-green
How many of your dev/preview pods stay on during weekends? Or at night? It's a waste of resources! And money! But fear not, kube-green is here to the rescue.
kube-green is a simple k8s addon that automatically shuts down (some of) your resources when you don't need them.
https://github.com/kube-green/kube-green
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kubedns-shepherd
https://github.com/eminaktas/kubedns-shepherd
KubeDNS Shepherd is a Kubernetes controller that manages the DNS configuration of workloads, ensuring an efficient and reliable way to configure DNS within your Kubernetes cluster. This project is essential for those looking to optimize DNS resolutions and configurations within their Kubernetes environments.
https://github.com/eminaktas/kubedns-shepherd
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kctxsync
https://github.com/vvrnv/kctxsync
kctxsync is a command-line tool designed to synchronize the certificate and key data from a remote Kubernetes cluster's kubeconfig file to your local kubeconfig. It is particularly useful for updating the local kubeconfig when certificates or keys have changed in the remote cluster, ensuring that your local environment is always in sync with the remote server.
https://github.com/vvrnv/kctxsync
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k8up
https://github.com/k8up-io/k8up
K8up is a Kubernetes backup operator based on Restic that will handle PVC and application backups on a Kubernetes or OpenShift cluster.
https://github.com/k8up-io/k8up
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acceleration-service
https://github.com/goharbor/acceleration-service
Acceleration Service provides a general service to Harbor with the ability to automatically convert user images to accelerated images. When a user does something such as artifact push, Harbor will request the service to complete the corresponding image conversion through its integrated Nydus, eStargz, etc. drivers.
https://github.com/goharbor/acceleration-service
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