pyroscope
eksctl
pyroscope | eksctl | |
---|---|---|
5 | 59 | |
9,437 | 4,791 | |
1.5% | 0.9% | |
9.8 | 9.5 | |
6 days ago | 5 days ago | |
C | Go | |
GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pyroscope
- Grafana Pyroscope v1.0.0 Release
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Ultimate EKS Baseline Cluster: Part 1 - Provision EKS
From here, we can explore other developments and tutorials on Kubernetes, such as o11y or observability (PLG, ELK, ELF, TICK, Jaeger, Pyroscope), service mesh (Linkerd, Istio, NSM, Consul Connect, Cillium), and progressive delivery (ArgoCD, FluxCD, Spinnaker).
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Can pprof in golang be analyzed using grafana?
Do you mean something like https://pyroscope.io/?
- go pprof analysis
- Pyroscope and Grafana Phlare join together
eksctl
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Auto-scaling DynamoDB Streams applications on Kubernetes
There are a variety of ways in which you can create an Amazon EKS cluster. I prefer using eksctl CLI because of the convenience it offers. Creating an an EKS cluster using eksctl, can be as easy as this:
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How to migrate Apache Solr from the existing cluster to Amazon EKS
There are many ways to create a cluster such as using eksctl. In my case, I will use terraform module cause it’s easy to reuse and comprehend.
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Ultimate EKS Baseline Cluster: Part 1 - Provision EKS
eksctl [eksctl] is the tool that can provision EKS cluster as well as supporting VPC network infrastructure.
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[AWS] EKS vs Self managed HA k3s running on 1x2 ec2 machines, for medium production workload
For this and many other reasons I recommend doing everything in Terraform EXCEPT EKS and its node groups. For that, I use https://eksctl.io/ because it much better manages the lifecycle of EKS and your node groups. I have an blog article better explaining why I recommend it, and another blog article explaining how to do zero-downtime upgrades with EKSCTL.
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Automating Kong API Gateway deployment with Flux
eksctl
- Export a docker container to a VPC in AWS and exposing it publicly through a loadbalancer
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Anybody using spot instances for worker nodes?
Second, make sure you create a spot instance group that attempts to launch MULTIPLE different instance types. This way if one instance type gets flushed, your autoscaler will kick in and launch a different type. Without this, you WILL HAVE DOWNTIME if a sudden price hike and flush occurs. If you're using eksctl I have example configurations that use multi-instance types on Github here.
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Use AWS Controllers for Kubernetes to deploy a Serverless data processing solution with SQS, Lambda and DynamoDB
There are a variety of ways in which you can create an Amazon EKS cluster. I prefer using eksctl CLI because of the convenience it offers. Creating an an EKS cluster using eksctl, can be as easy as this:
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strategy to upgrade eks cluster
I've written an article on this, with my recommended tool for managing eks EKSCTL.
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Bootstrapping Kubernetes Cluster with CloudFormation
--- AWSTemplateFormatVersion: '2010-09-09' Parameters: VpcId: Type: AWS::EC2::VPC::Id Description: ID of the VPC in which to create the Kubernetes cluster SubnetIds: Type: List Description: List of Subnet IDs in which to create the Kubernetes cluster KeyPairName: Type: AWS::EC2::KeyPair::KeyName Description: Name of the EC2 Key Pair to use for SSH access to worker nodes ClusterName: Type: String Description: Name of the Kubernetes cluster to create Resources: ControlPlaneSecurityGroup: Type: AWS::EC2::SecurityGroup Properties: VpcId: !Ref VpcId GroupDescription: Allow inbound traffic to the Kubernetes control plane SecurityGroupIngress: - IpProtocol: tcp FromPort: 22 ToPort: 22 CidrIp: 0.0.0.0/0 WorkerNodeSecurityGroup: Type: AWS::EC2::SecurityGroup Properties: VpcId: !Ref VpcId GroupDescription: Allow inbound traffic to Kubernetes worker nodes SecurityGroupIngress: - IpProtocol: tcp FromPort: 22 ToPort: 22 CidrIp: 0.0.0.0/0 ControlPlaneInstanceProfile: Type: AWS::IAM::InstanceProfile Properties: Roles: - !Ref ControlPlaneRole ControlPlaneRole: Type: AWS::IAM::Role Properties: AssumeRolePolicyDocument: Version: '2012-10-17' Statement: - Effect: Allow Principal: Service: - ec2.amazonaws.com Action: - sts:AssumeRole ManagedPolicyArns: - arn:aws:iam::aws:policy/AmazonEKSClusterPolicy - arn:aws:iam::aws:policy/AmazonEKSServicePolicy ControlPlaneInstance: Type: AWS::EC2::Instance Properties: ImageId: ami-0b69ea66ff7391e80 InstanceType: t2.micro KeyName: !Ref KeyPairName NetworkInterfaces: - DeviceIndex: 0 AssociatePublicIpAddress: true GroupSet: - !Ref ControlPlaneSecurityGroup SubnetId: !Select [0, !Ref SubnetIds] IamInstanceProfile: !Ref ControlPlaneInstanceProfile UserData: Fn::Base64: !Sub | #!/bin/bash echo 'net.bridge.bridge-nf-call-iptables=1' | tee -a /etc/sysctl.conf sysctl -p yum update -y amazon-linux-extras install docker -y service docker start usermod -a -G docker ec2-user curl -o /usr/local/bin/kubectl https://amazon-eks.s3.us-west-2.amazonaws.com/1.21.2/2021-07-05/bin/linux/amd64/kubectl chmod +x /usr/local/bin/kubectl echo 'export PATH=$PATH:/usr/local/bin' >> /etc/bashrc curl --silent --location "https://github.com/weaveworks/eksctl/releases
What are some alternatives?
parca - Continuous profiling for analysis of CPU and memory usage, down to the line number and throughout time. Saving infrastructure cost, improving performance, and increasing reliability.
terraform-aws-eks - Terraform module to create AWS Elastic Kubernetes (EKS) resources 🇺🇦
pprof-rs - A Rust CPU profiler implemented with the help of backtrace-rs
kops - Kubernetes Operations (kOps) - Production Grade k8s Installation, Upgrades and Management
Typesense - Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
argo-cd - Declarative Continuous Deployment for Kubernetes
Oat++ - 🌱Light and powerful C++ web framework for highly scalable and resource-efficient web application. It's zero-dependency and easy-portable.
terraform-aws-eks-blueprints - Configure and deploy complete EKS clusters.
profefe - Continuous profiling for long-term postmortem analysis
cluster-api - Home for Cluster API, a subproject of sig-cluster-lifecycle
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
eks-anywhere - Run Amazon EKS on your own infrastructure 🚀