Top Tweets for #AutoScaler
#Karpenter is becoming the go-to #autoscaler for #Kubernetes teams running on #AWS, and for good reason. It takes a fundamentally different approach than Cluster Autoscaler by talking directly to cloud provider APIs and making real-time decisions about instance types, sizes, and pricing. The result is faster provisioning and more efficient use of your compute spend.
This article walks through the architecture, from how NodePools and NodeClasses separate scheduling policy from infrastructure details, to how Karpenter batches pending pods and runs scheduling simulations before requesting capacity. The comparison table with Cluster Autoscaler is useful for teams weighing a migration.
David Lentz has put together a good intro on Karpenter. Check it out if you manage Kubernetes clusters and want to understand what Karpenter is actually doing under the hood before you adopt it.
https://t.co/9N2tmkARmT
Most teams tuning #Kubernetes costs focus on right-sizing requests and limits. But if your node #autoscaler can't actually scale down nodes, those optimizations may never translate into real savings. This article digs into why that gap exists and what to do about it.
It covers the full range of scale-down blockers, from stuck pods and PDB misconfigurations to hostPath volumes and anti-affinity rules. It also addresses node sprawl scenarios like topology constraints and max pod limits that quietly inflate your infrastructure over time.
David B Chase lays out each scenario with examples and practical commands to help you identify these issues in your own clusters. Check it out if you're working with Kubernetes.
https://t.co/Nil6wkokq1
Most teams tuning #Kubernetes costs focus on right-sizing requests and limits. But if your node #autoscaler can't actually scale down nodes, those optimizations may never translate into real savings. This article digs into why that gap exists and what to do about it.
It covers the full range of scale-down blockers, from stuck pods and PDB misconfigurations to hostPath volumes and anti-affinity rules. It also addresses node sprawl scenarios like topology constraints and max pod limits that quietly inflate your infrastructure over time.
David B Chase lays out each scenario with examples and practical commands to help you identify these issues in your own clusters. Check it out if you're working with Kubernetes.
https://t.co/Hg2ELhw6AR
Discover the powerful synergy between @ApacheBeam, @ApacheFlink, and @kubernetesio while building an #Autoscaler for high-volume streaming environments, optimizing resource use for efficiency and peak performance under varying loads. Check it out now! https://t.co/zubzmdyHtk
#karpenter is now available on #azure for #aks.
- #karpenter is deeply #k8s native (Watch API, labels, Finalizers)
- #karpenter terminates underutilized nodes
- #karpenter is #opensource, flexible, & high-performance #kubernetes #cluster #autoscaler
https://t.co/EoyZnmcXy1
#karpenter is now available on #azure for #aks.
- #karpenter is deeply #k8s native (Watch API, labels, Finalizers)
- #karpenter terminates underutilized nodes
- #karpenter is #opensource, flexible, & high-performance #kubernetes #cluster #autoscaler
https://t.co/EoyZnmcXy1
Like and #reshare and #follow #subscribe@razorops and Razorops, Inc. for more such updates,
https://t.co/BNjW9KRgt1
#razorops #cicd #kubernetes #docker #devops #automation #development #pipeline #business #team #software #startup #developer #keda #autoscaler
#cncf
#Karpenter is a #Kubernetes #autoscaler that can be used to provision “nodeless” #AWS #EKS clusters. Nodeless means the EKS cluster can be provisioned with zero nodes to start with, & the Fargate hosted Karpenter pods scale up the actual worker nodes. https://t.co/s6d3tlL9Ka
Well, @rothgar is a genius, and I easily get the idea of sophisticated topics. Thank you!
#Karpenter vs #Kubernetes Cluster #Autoscaler
https://t.co/sk2fisYy8F
Well done Zbynek and everyone who helped to make this a reality - it's been quite a journey! Happy hacking everyone!
#openshift #keda #autoscaler #redhat
I am pleased to share that a technical preview of supported @kedaorg on @openshift (4.11) was released!
It has been a long journey but worth it. Though there is still a lot of good stuff ahead of us, so stay tuned :)
More details in my blog: https://t.co/F8Qq5WnaLu
https://t.co/TeNiWGVtyp - Ognjen Puzovic, DevOps Engineer shared excellent bits of advice on #KEDA – a #Kubernetes -based, event-driven #Autoscaler to help you flexibly and safely run alongside other Kubernetes applications or frameworks. #symphonyiscommunity
Kubernetes Cluster Autoscaler vs Karpenter - In a nutshell 👉 Karpenter is amazing! https://t.co/33dwyQkrD8 #kubernetes #autoscaler #karpenter
🔗https://t.co/TeNiWGVtyp - Ognjen Puzovic, DevOps Engineer shared excellent bits of advice on #KEDA – a Kubernetes-based, event-driven #Autoscaler to help you flexibly and safely run alongside other #Kubernetes applications or #frameworks. #DevOpsCommunity
Can you imagine scaling your #Kubernetes clusters horizontally and vertically ...?
#TIL that @VMwareTanzu Kubernetes Grid #TKG can do it, and even has an #Autoscaler
https://t.co/TjAmtsVjLo
Thanks a lot to 🤘 Justin Garrison Garrison simple demo and easy to understand explanation on "#Karpenter vs #Kubernetes Cluster #Autoscaler" - 𝑺𝒖𝒑𝒆𝒓 𝒉𝒖𝒎𝒂𝒏 𝒇𝒓𝒊𝒆𝒏𝒅𝒍𝒚 𝒂𝒏𝒅 𝒓𝒆𝒂𝒅𝒂𝒃𝒍𝒆 ! : )
🌤 Farrah Ca…https://t.co/1ElIFJyXgS https://t.co/faXwPgjtqz
#AWS Releases #MultiCloud #Kubernetes #Autoscaler #Karpenter https://t.co/HUlKo75h2n #Multicluster #DataScience #MachineLearning #datastorage #DataCenter #Devops #technology #DataMining #NLP #NoSQL #IoT #Apache #kafka #hadoop #spark #R #Python #Database #Pods #Cluster #Node #AI
It’s always nail-biting on launch day. You don’t want to be thinking about whether your multiplayer servers will cope. So we helped take the weight off #Chivalry2, so they didn’t need to worry.
Learn more: https://t.co/zaKsfia6vb
#Multiplayer #autoscaler #gameserver
What is #KEDA ? KEDA is a #Kubernetes-based #Event Driven #Autoscaler. See more:
1/ main - https://t.co/5hGtwiDVtt
2/ architecture - https://t.co/N0m2H6r4KB
3/ Currently available scalers for KEDA, e.g. #kafka, #MQ, #cloudwatch, #kinesis, #SQS, #azure, #G…https://t.co/qomuMRnKnF
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