DevOps & SRE notes – Telegram
DevOps & SRE notes
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Helpful articles and tools for DevOps&SRE

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The blog post "Bootstrap an Air Gapped Cluster With Kubeadm" provides a comprehensive guide on setting up a Kubernetes cluster in an air-gapped environment using Kubeadm. It covers the challenges of deploying in a network-isolated environment and offers detailed steps and strategies to effectively overcome these obstacles. The guide is particularly useful for those looking to deploy Kubernetes in secure, restricted-access environments.
https://kubernetes.io/blog/2023/10/12/bootstrap-an-air-gapped-cluster-with-kubeadm/
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The blog post details a case study on migrating Kubernetes clusters between AWS accounts using Velero. It covers the migration process, including the transfer of both Kubernetes and non-Kubernetes resources, and outlines specific steps and strategies adopted for this task. The post also shares lessons learned and insights gained during the migration, making it a useful resource for those looking to undertake similar projects.
https://devopsdirective.com/posts/2023/11/velero-aws-account-migration/index.html
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This post provides a comprehensive overview of Cloudflare's logging pipeline, detailing the various components and processes involved in managing, improving, and maintaining the internal logging systems. It covers the journey of logs from their inception to their storage, explaining the role of different technologies and methods used in this process. The article highlights Cloudflare's focus on scalability, high availability, and meeting service level objectives while handling immense volumes of log data.
https://blog.cloudflare.com/an-overview-of-cloudflares-logging-pipeline/
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Diagram as code
from diagrams import Cluster, Diagram
from diagrams.aws.compute import ECS, EKS, Lambda
from diagrams.aws.database import Redshift
from diagrams.aws.integration import SQS
from diagrams.aws.storage import S3

with Diagram("Event Processing", show=False):
source = EKS("k8s source")

with Cluster("Event Flows"):
with Cluster("Event Workers"):
workers = [ECS("worker1"),
ECS("worker2"),
ECS("worker3")]

queue = SQS("event queue")

with Cluster("Processing"):
handlers = [Lambda("proc1"),
Lambda("proc2"),
Lambda("proc3")]

store = S3("events store")
dw = Redshift("analytics")

source >> workers >> queue >> handlers
handlers >> store
handlers >> dw


https://diagrams.mingrammer.com/docs/getting-started/examples