IBM Cloud Managed Istio vs. Mirantis Kubernetes Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Mirantis Kubernetes Engine
Score 9.4 out of 10
N/A
The Mirantis Kubernetes Engine (formerly Docker Enterprise, acquired by Mirantis in November 2019)aims to let users ship code faster. Mirantis Kubernetes Engine gives users one set of APIs and tools to deploy, manage, and observe secure-by-default, certified, batteries-included Kubernetes clusters on any infrastructure: public cloud, private cloud, or bare metal.
$0
per year
Pricing
IBM Cloud Managed IstioMirantis Kubernetes Engine
Editions & Modules
No answers on this topic
Free
$0.00
per year
Basic
$500.00
per year
Offerings
Pricing Offerings
IBM Cloud Managed IstioMirantis Kubernetes Engine
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsThese pricing options are compatible with Linux or Windows Server and are per year, per node. The basic version requires maximum online purchase not to exceed 50 nodes. Support/professional services are not included.
More Pricing Information
Community Pulse
IBM Cloud Managed IstioMirantis Kubernetes Engine
Features
IBM Cloud Managed IstioMirantis Kubernetes Engine
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
IBM Cloud Managed Istio
8.0
Ratings
0% above category average
Mirantis Kubernetes Engine
-
Ratings
Ease of building user interfaces6.90 Ratings00 Ratings
Scalability7.90 Ratings00 Ratings
Platform management overhead7.80 Ratings00 Ratings
Workflow engine capability8.00 Ratings00 Ratings
Platform access control8.70 Ratings00 Ratings
Services-enabled integration8.60 Ratings00 Ratings
Development environment creation8.00 Ratings00 Ratings
Development environment replication8.00 Ratings00 Ratings
Issue monitoring and notification8.00 Ratings00 Ratings
Issue recovery8.90 Ratings00 Ratings
Upgrades and platform fixes7.20 Ratings00 Ratings
Best Alternatives
IBM Cloud Managed IstioMirantis Kubernetes Engine
Small Businesses
AWS Lambda
AWS Lambda
Score 8.6 out of 10
Portainer
Portainer
Score 9.6 out of 10
Medium-sized Companies
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
Enterprises
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
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User Ratings
IBM Cloud Managed IstioMirantis Kubernetes Engine
Likelihood to Recommend
8.7
(0 ratings)
8.3
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.1
(0 ratings)
Usability
-
(0 ratings)
8.0
(0 ratings)
Support Rating
6.4
(0 ratings)
7.8
(0 ratings)
User Testimonials
IBM Cloud Managed IstioMirantis Kubernetes Engine
Likelihood to Recommend
It is a perfect application when you have multiple users and/or developers and you want to create rules and standards for access and the ability to change access levels. The reporting of usage is good, but adding more granularity into the metrics that have been used to measure are not specific enough. They provide detail but drilling into the detail would be more appropriate i.e. access to the baseline data.
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Docker is great for when you would want to use a VM for any given application, but don't need the overhead of the whole OS. Docker containers use very little computing resources, boot up very quickly, and are very easy to set up. An instance where Docker may not be appropriate would be for an application that requires good security. If in this situation, a true VM would probably be your best bet.
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Pros
  • Debug issues
  • Monitoring
  • allows many services form many different sources
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  • Containerization - allowing multiple micro-services to function together without in-depth orchestration at the VM level.
  • Rapid deployment - a developer with appropriate access can simply push to the correct remote and the deploy happens automatically from there
  • Decouples provisioning from VM administration - allows containers to be deployed (more) regardless of VM set up.
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Cons
  • Still missing functionalities for a full usage as traffic director.
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  • Docker has a bit of a learning curve, and it takes some time to become familiar with the tooling and syntax. Transitioning an existing architecture to docker can represent a significant investment.
  • Docker attempts to provide some level of cross-host container orchestration via swarm, but it falls short of third-party solutions like kubernetes.
  • We occasionally run into stability issues when the docker daemon is subjected to high load (many applications starting/stopping frequently). In these cases, docker hangs and we have to restart or replace the node.
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Usability
No answers on this topic
Docker's CLI has a lot of options, and they aren't all intuitive. And there are so many tools in the space (Docker Compose, Docker Swarm, etc) that have their own configuration as well. So while there is a lot to learn, most concepts transfer easily and can be learned once and applied across everything.
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Support Rating
Training and usage support available
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The community support for Docker is fantastic. There is almost always an answer for any issue I might encounter day-to-day, either on Stack Overflow, a helpful blog post, or the community Slack workspace. I've never come across a problem that I was unable to solve via some searching around in the community.
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Alternatives Considered
1) One-stop solution for all the complex network connectivity managed by [IBM Cloud Managed Istio]. 2) Nice dashboard to understand the flow. 3) Easy to troubleshoot the service if any one of the APIs is not responding. 4) We can integrate it with Azure Kubernetes service and other cloud provider Kubernetes services. 5) Monitoring the health of the pods can be easily configured and alerts can be triggered very accurately with this tool.
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I have not used any other software as a container management solution. Its containerized apps allow the usage of less memory, thus
they start and shut down very fast. This tool is helping the enterprise
software to work quickly against the changing conditions thus offers great
scaling by simultaneously allowing me to meet the demands, which also leads to
easy implementation of the strategies.
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Return on Investment
  • Management burden is reduced resulting in positive ROI.
  • Application is being seamlessly instrumented with good impact on business.
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  • We are able to try things very quickly compared to before. If you need to debug it, changes on X/Y/Z will have an impact on the way your app works, and changing libraries or configurations of the environment easily can improve your development cycles.
  • In case someone new arrives, the onboarding is pretty easy thanks to Docker. We have tried many configs and images until we reached a point were we have what we want. We don't have to painfully do that again for every new user. We just send him the image.
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ScreenShots