Skip to main content
View All Products
Compute
Storage
Networking
Databases
Services
Developer Tools
Industries
Pricing
Community
Engage With Us
Explore Content
Series
9
  1. As Seen on TFIR
    5
  2. Cloud Simplified
    9
  3. Craft of Code
    28
  4. Learnk8s Labs
    8
  5. OpenAI Versus Project
    3
  6. Partner Roundups
    3
  7. Super User
    26
  8. Tech With Tim Linux Beginners Series
    1
  9. Top Docs
    3
Featuring
20
  1. Austin Gil
    4
  2. Brandon Hopkins
    3
  3. Chris Nesbitt-Smith
    1
  4. Code with Harry
    12
  5. Code with Tomi
    3
  6. Daniele Polencic
    2
  7. David Flanagan
    1
  8. Gardiner Bryant
    8
  9. James Steel
    3
  10. Jay LaCroix
    3
  11. Josh | KeepItTechie
    3
  12. Justin Mitchel
    2
  13. Mauricio “Salaboy” Salatino
    2
  14. Mike Jung
    1
  15. Salman Iqbal
    3
  16. Sid Palas
    1
  17. Swapnil Bhartiya
    4
  18. Talia Nassi
    1
  19. Tech with Tim
    2
  20. Walt Ribeiro
    1
Content Types
6
  1. Customer Stories
    28
  2. Ebooks
    8
  3. Project Brief
    1
  4. Research
    3
  5. Videos
    54
  6. Webinars
    14
Categories
12
  1. Cloud Overviews
    4
  2. Compute
    24
  3. Containers (Kubernetes, Docker)
    26
  4. Databases
    3
  5. Developer Tools
    25
  6. Linode
    4
  7. Linux
    1
  8. Networking
    1
  9. Open Source
    2
  10. Partner Network
    7
  11. Security
    2
  12. Storage
    8
Video Thumbnail
In order to see embedded videos, you must have "Functional" cookies enabled in your cookie preferences.

How to (right) size your Kubernetes cluster for efficiency

ContentLearnk8s LabsHow to (right) size your Kubernetes cluster for efficiency

In Kubernetes, should you use fewer large nodes or several smaller ones?

When using an 8 GB/2vCPU instance, are all the memory and CPU available to pods?

In this session, you will explore how Kubernetes reserves resources in a worker node. You will learn how different cloud providers have different reservations and how those affect deploying workloads and their availability. You’ll then examine how limits, requests and reservations can be combined to estimate the right instance size for your Kubernetes workloads.

By the end of the session, you will:

  • Understand how the Kubernetes scheduler uses requests to allocate workloads.
  • Identify how the kubelet reserves CPU, memory, storage, etc., in a Kubernetes node.
  • Master how to choose the right size for your cluster nodes to optimize resource utilization for your workload.