headlamp
https://github.com/headlamp-k8s/headlamp
Headlamp is an easy-to-use and extensible Kubernetes web UI.
Headlamp was created to blend the traditional feature set of other web UIs/dashboards (i.e., to list and view resources) with added functionality.
https://github.com/headlamp-k8s/headlamp
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terraform-azurerm-aks
https://github.com/Azure/terraform-azurerm-aks
This Terraform module deploys a Kubernetes cluster on Azure using AKS (Azure Kubernetes Service) and adds support for monitoring with Log Analytics.
https://github.com/Azure/terraform-azurerm-aks
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SLO: Elastic vs Datadog vs Grafana
https://blog.alexewerlof.com/p/slo-elastic-datadog-grafana
Reviewing the Service Level implementation in 3 observability providers
https://blog.alexewerlof.com/p/slo-elastic-datadog-grafana
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"SRE" doesn't seem to mean anything useful any more
https://rachelbythebay.com/w/2024/09/03/ops
This seems to be a thing now: someone finds out that you worked as an SRE ("site reliability engineer", something from the big G back in the day) somewhere, and now all you're good for is "devops" - that is, you're going to be the "ops bitch" for the "real" programmers. You are the consumer. They are the producer. They squeeze one out and you have to make it sing and dance. You keep things running and you shut the hell up. You wear the pager so they don't have to.
https://rachelbythebay.com/w/2024/09/03/ops
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The Rise of Open Source Time Series Databases
https://victoriametrics.com/blog/the-rise-of-open-source-time-series-databases/index.html
Time series databases allow you to store and query metrics efficiently. For example, if you want to forecast load on your servers, or identify intermittent faults with your production services, time series databases can help. Besides infrastructure monitoring, time series databases have been invaluable in finance, IoT applications, manufacturing, and more.
Many time series databases, including VictoriaMetrics, are open source. In this article, you’ll see how time series databases came about, and why so many are open source. We’ll also share our insider take on the future of this space.
https://victoriametrics.com/blog/the-rise-of-open-source-time-series-databases/index.html
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Container Communication Inside a Kubernetes Pod
https://medium.com/@sumuduliyan/container-communication-inside-a-kubernetes-pod-a5e84d607ef2
How Do Containers Communicate Inside a Pod?
https://medium.com/@sumuduliyan/container-communication-inside-a-kubernetes-pod-a5e84d607ef2
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What Determines if a Kubernetes Node is Ready?
https://trstringer.com/kubernetes-node-ready
Anybody that has dealt with Kubernetes clusters for any amount of time has likely ran into a situation where they run kubectl get nodes and may see the infamous NotReady state. It’s a deceivingly complex state, though, to have a node that isn’t ready. It sounds obvious, but… what does “ready” even mean for Kubernetes nodes?
https://trstringer.com/kubernetes-node-ready
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How to reduce expenses on monitoring: be smarter about data
https://victoriametrics.com/blog/reducing-costs-p2/index.html
Monitoring can get expensive due to the huge quantities of data that need to be processed. In this blog post, you’ll learn the best ways to store and process monitoring metrics to reduce your costs, and how VictoriaMetrics can help.
This blog post will only cover open-source solutions. VictoriaMetrics is proudly open source. You’ll get the most out of this blog post if you are familiar with Prometheus, Thanos, Mimir or VictoriaMetrics.
https://victoriametrics.com/blog/reducing-costs-p2/index.html
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Backup K3s with Litestream
https://www.inovex.de/de/blog/k3s-backup-litestream
This blog post will give you a tutorial on how to back up a K3s single node control plane backed by sqlite3 with Litestream.
https://www.inovex.de/de/blog/k3s-backup-litestream
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netfetch
https://github.com/deggja/netfetch
Kubernetes tool for scanning clusters for network policies and identifying unprotected workloads.
https://github.com/deggja/netfetch
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netshoot
https://github.com/nicolaka/netshoot
a Docker + Kubernetes network trouble-shooting swiss-army container
https://github.com/nicolaka/netshoot
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directpv
https://github.com/minio/directpv
DirectPV is a CSI driver for Direct Attached Storage. In a simpler sense, it is a distributed persistent volume manager, and not a storage system like SAN or NAS. It is useful to discover, format, mount, schedule and monitor drives across servers.
https://github.com/minio/directpv
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vhs
https://github.com/charmbracelet/vhs
Write terminal GIFs as code for integration testing and demoing your CLI tools.
https://github.com/charmbracelet/vhs
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jd
https://github.com/josephburnett/jd
jd is a commandline utility and Go library for diffing and patching JSON and YAML values.
https://github.com/josephburnett/jd
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metabase
https://github.com/metabase/metabase
The simplest, fastest way to get business intelligence and analytics to everyone in your company
https://github.com/metabase/metabase
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Microservices vs. Monoliths: Why Startups Are Getting "Nano-Services" All Wrong
https://thiagocaserta.substack.com/p/microservices-vs-monoliths-why-startups
From Monoliths to Microservices: Why Startups Should Avoid Premature Complexity
https://thiagocaserta.substack.com/p/microservices-vs-monoliths-why-startups
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How a tcpdump led us to a bug in Node's IPv6 handling
https://www.checklyhq.com/blog/how-a-tcpdump-led-us-to-a-bug-in-nodes-ipv6-handli
tl;dr: Node by default doesn’t implement the Happy Eyeballs algorithm for web requests, and therefore if a server has a broken IPv6 address that responds first, it will usually fail.
https://www.checklyhq.com/blog/how-a-tcpdump-led-us-to-a-bug-in-nodes-ipv6-handli
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The ultimate guide to on-call schedules
https://incident.io/blog/the-ultimate-guide-to-on-call-schedules
In this post, we’ll cover the basics of on-call scheduling, the different types of on-call schedules you can use and when each is most appropriate, best practices for managing on-call shifts, and all the mistakes people normally make along the way.
https://incident.io/blog/the-ultimate-guide-to-on-call-schedules
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