#1 most frequent
United States of America
53.1%7,658 installations of 14,429
What is Amazon EKS?
Amazon Elastic Kubernetes Service (Amazon EKS) is a managed container service to run and scale Kubernetes applications in the cloud or on-premises, available on AWS or on-premise through Amazon EKS Anywhere.
Categories & Use Cases
Product Demos
Top Performing Features
Self-Healing and Recovery
Product can be configured to automatically restart, replace, reschedule, kill, and validate jobs, containers, nodes, or clusters.
Category average: 7.8
Analytics, Monitoring, and Logging
Product provides tools to manage performance, health, and other data related to containers or clusters. This could include analytics tools, logging tools, live dashboards, etc.
Category average: 7.9
Security and Isolation
Product provides effective tools to isolate containers, nodes, and clusters and protect them from threats.
Category average: 8.5
Areas for Improvement
Container Orchestration
The product’s ability to automate networking, deployment, scaling, and other container management functions.
Category average: 8.2
Cluster Management
Product’s ability to centralize the management of multiple container or node clusters.
Category average: 8.1
Discovery Tools
Product provides methods (such as URIs or sortable lists) to easily find and access jobs, nodes, containers, or clusters.
Category average: 8.1
Who Buys & Uses Amazon Elastic Kubernetes Service (EKS)
#2 most frequent
India
7.0%1,013 installations of 14,429
#3 most frequent
United Kingdom of Great Britain and Northern Ireland
5.4%780 installations of 14,429
Excellent container orchestrator - EKS
Use Cases and Deployment Scope
We are using multiple inter dependent microservices hosted on EKS clusters. The AWS managed clusters does remove the overhead of maintanence of the master nodes and its components. The auto scaling policies and the node groups help greatly when there is a spike on the platform and does not require any manual intervention. Also it's integration with cloudwatch metrics helps a great deal to monitor the clusters and to find the root cause of the issues related to cpu, memory, pods etc.
Pros
- Upgrade the kubernetes clusters to the latest version with a single click
- Auto scaling policies to automatically scale the nodes
- Detailed logs and events on the cluster within the EKS clusters portal, cloudwatch logs and metrics
Cons
- The kubernetes resources inside the cluster can be seen from the portal but cannot be configured.
Return on Investment
- Good performance of platform without hiccups
- Less number of people required to manage cluster
- Easier to deploy new microservices
Usability
Alternatives Considered
Google Kubernetes Engine
Other Software Used
Amazon Elastic Compute Cloud (EC2), HashiCorp Vault
The way to go on AWS but still with a lot of room of improvements
Use Cases and Deployment Scope
We are using EKS to run all our dev and production workloads, which includes stateless and state-full applications.
Pros
- Managed control plane
- Autoscaling
Cons
- AWSIAM integration with Kubernetes RBAC could be better.
- Enabling some add-ons like service mesh, and monitoring will be nice instead of having to install them yourself after the creation of the cluster.
- EKS bootstrap time could be faster ...
Most Important Features
- Control plane management
Return on Investment
- Migrating all our workloads from ec2 VMs to containers running in Kubernetes has been a huge improvement for the management and resilience of our Infrastructure.
- EKS Upgrade process to a new version seems to be taking very long ....
- EKS creation time usually takes over 10 minutes in us-east-1, we would like faster creation times to be under 5 minutes.
Alternatives Considered
Google Kubernetes Engine, Azure Kubernetes Service (AKS) and K3s Lightweight Kubernetes
Other Software Used
Azure Kubernetes Service (AKS), Google Kubernetes Engine, K3s Lightweight Kubernetes