It's quite fascinating how the tides of technology ebb and flow, much like a pendulum swinging between trends. Once again, we find ourselves revisiting the concept of vertical scaling. 😂
However, this isn't your OG vertical scaling; it's fancy, it's rightsizing for optimal performance AND cost efficiency. And yeah, dude, we will have "in-place" action at the container level soon! 😬
The beauty of VPA lies in its adaptability; you have the power to configure it as either a wise recommender or an active agent in the resource optimization process, offering a level of customization that sets it apart in the Kubernetes ecosystem.
👾 So, what is Kubernetes Vertical Pod Autoscaling (VPA)?
VPA in Kubernetes automates the process of adjusting the CPU and memory resources required for pods. Unlike HPA, which focuses on increasing or decreasing the number of pods, VPA adjusts the resources of individual pods.
👾How Does VPA Work?
VPA operates by monitoring the resource consumption of pods and automatically adjusting their CPU and memory requests based on usage (if you want). This ensures that pods have enough resources to operate efficiently without over-provisioning, which can lead to unnecessary costs.
I mean, we currently rely on Pod termination and Admission Controller webhook hacks to achieve that, but you get the idea, lol.
👾Key Features:
- Automatic Resource Adjustment: VPA sets resource requests based on usage, optimizing for both performance and cost.
- Compatibility and Installation: Compatible with various Kubernetes versions, VPA can be easily installed in your cluster.
- Different Operating Modes: VPA offers several modes, including 'Auto', 'Recreate', 'Initial', and 'Off', providing flexibility in how resources are managed.
BUT HOLD YOUR HORSES! 🐎 🛑
👾 (Very important) Considerations and Limitations:
- VPA may cause pods to be recreated, which could lead to temporary unavailability.
- Using VPA with Horizontal Pod Autoscaler (HPA) on CPU or memory is not recommended, as you don't want them fighting and flapping on top of your workload in Production. (haha, trust me)
- VPA's behavior in large clusters has yet to be extensively tested. TBH, HPA covers 99% of my use cases so far.
What do you think? Is our tech stack becoming a huge onion? Will our future newbies know cgroups?🤓
https://lnkd.in/d3UKS5eY
#kubernetes #cicd #harness #devops #cloud #k8s #cncf #linux #sre #observability #sdlc #gitops #docker #container #certification #cka #kcna
Sourcing the best talent in AI, Data Science & Software quickly, cost effectively & painlessly globally since 2001 I Talent Acquisition I Search / Head Hunter I Contingent Perm & Contract Recruitment Expert
2mohttps://thenextweb.com/news/the-future-of-cloud-native-kubernetes