Amazon Elastic Kubernetes Service (EKS) vs. IBM Cloud Managed Istio

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon EKS
Score 8.6 out of 10
N/A
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.
$0.10
per month
IBM Cloud Managed Istio
Score 8.7 out of 10
N/A
The IBM Cloud Kubernetes Service provides the Managed Istio installation add on, designed to provide additonal control over clusters and the microservices they comprise via automatic updates and lifecycle management of control plane components, and integration with platform logging and monitoring tools.N/A
Pricing
Amazon Elastic Kubernetes Service (EKS)IBM Cloud Managed Istio
Editions & Modules
Amazon EKS Cluster
$.10
per hour of each cluster created
No answers on this topic
Offerings
Pricing Offerings
Amazon EKSIBM Cloud Managed Istio
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon Elastic Kubernetes Service (EKS)IBM Cloud Managed Istio
Features
Amazon Elastic Kubernetes Service (EKS)IBM Cloud Managed Istio
Container Management
Comparison of Container Management features of Product A and Product B
Amazon Elastic Kubernetes Service (EKS)
8.9
1 Ratings
11% above category average
IBM Cloud Managed Istio
-
Ratings
Security and Isolation9.01 Ratings00 Ratings
Container Orchestration8.01 Ratings00 Ratings
Cluster Management8.01 Ratings00 Ratings
Storage Management9.01 Ratings00 Ratings
Resource Allocation and Optimization9.01 Ratings00 Ratings
Discovery Tools8.01 Ratings00 Ratings
Update Rollouts and Rollbacks9.01 Ratings00 Ratings
Self-Healing and Recovery10.01 Ratings00 Ratings
Analytics, Monitoring, and Logging10.01 Ratings00 Ratings
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
Amazon Elastic Kubernetes Service (EKS)
-
Ratings
IBM Cloud Managed Istio
8.0
5 Ratings
2% above category average
Ease of building user interfaces00 Ratings6.95 Ratings
Scalability00 Ratings7.95 Ratings
Platform management overhead00 Ratings7.85 Ratings
Workflow engine capability00 Ratings8.05 Ratings
Platform access control00 Ratings8.75 Ratings
Services-enabled integration00 Ratings8.65 Ratings
Development environment creation00 Ratings8.05 Ratings
Development environment replication00 Ratings8.05 Ratings
Issue monitoring and notification00 Ratings8.05 Ratings
Issue recovery00 Ratings8.95 Ratings
Upgrades and platform fixes00 Ratings7.25 Ratings
Best Alternatives
Amazon Elastic Kubernetes Service (EKS)IBM Cloud Managed Istio
Small Businesses
Portainer
Portainer
Score 9.1 out of 10
AWS Lambda
AWS Lambda
Score 8.4 out of 10
Medium-sized Companies
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
Enterprises
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon Elastic Kubernetes Service (EKS)IBM Cloud Managed Istio
Likelihood to Recommend
10.0
(2 ratings)
8.7
(5 ratings)
Usability
9.0
(1 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
6.4
(1 ratings)
User Testimonials
Amazon Elastic Kubernetes Service (EKS)IBM Cloud Managed Istio
Likelihood to Recommend
Amazon AWS
It is well suited when you want to have a Kubernetes cluster in AWS Cloud and want to avoid all the management overhead of maintaining your own cluster in terms of the control plane. EKS seems to be lacking in features when compared with AKS and GKE. Backups, service mesh, and monitoring have a lot of room for improvements.
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IBM
Clearly, the [IBM Cloud Managed Istio] tool is very useful when you have multiple services and each service is connecting with other services through APIs in different networks. To manage this type of complex network, [IBM Cloud Managed Istio] is very useful. It comes with a license that can increase the billing of your project so make sure if your application network mesh, monitoring cannot be managed on your own then you can use it. If your application is not very complex then you have many tools available like Grafana, Prometheus, Sumo Logic, which you can integrate individually with your cluster and implement. In this type of scenario, it is better to not use [IBM Cloud Managed Istio] and it will serve your purpose as well.
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Pros
Amazon AWS
  • 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
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IBM
  • Layers transparently onto existing applications
  • Allows control of access and rules to be developed
  • Creates metrics for usage
Read full review
Cons
Amazon AWS
  • 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 ...
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IBM
  • Some more functionalities added could improve it better.
  • Better technical user guidance.
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Usability
Amazon AWS
Cluster maintanence is reduced, easier to deploy resources, great observability insights
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IBM
No answers on this topic
Support Rating
Amazon AWS
No answers on this topic
IBM
Training and usage support available
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Alternatives Considered
Amazon AWS
It feels like AWS is behind the EKS race, the only advantage I'm able to see right now is the support of IPv6, however, trying to promote AWS alternatives that are different from the market and more like a vendor locking solutions like ECS/Fargate have kept AWS behind and focusing on the wrong things. EKS needs to really improve its integration with the Kubernetes ecosystem and have an enterprise solution for monitoring, backups, and service mesh.
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IBM
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Return on Investment
Amazon AWS
  • Good performance of platform without hiccups
  • Less number of people required to manage cluster
  • Easier to deploy new microservices
Read full review
IBM
  • It reduced the complexity of network mesh (ingress/egress services).
  • One tool with many solutions. No need to integrate monitoring tools or notification tools.
  • It reduced the number of lines of YAML code.
  • It reduced the number of labor hours.
Read full review
ScreenShots