Try using the container service of IBM Cloud Kubernetes
Updated April 08, 2020
Try using the container service of IBM Cloud Kubernetes
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with IBM Cloud Kubernetes Service
Our entire department is using it to create high-availability clusters, making mobile scalability truly user-friendly and easy to develop multilingual applications.
- You can add features easily, growing as you need.
- Options for dedicated servers or VMs gives us a lot of flexibility from a provisioning standpoint.
- Quick deployment.
- Powerful tool!
- Old operation guide.
- For beginner developers, it takes longer to learn costs.
- Too expensive.
- We have not yet fully utilized it to create a profit model.
- The event scheduling feature has also proved very useful.
We are still trying to make better use of these features.
We are also using the Azure test program generation.
Generally speaking, we do not have logging with LogDNA solutions in the production environment.
AWS Lambda may be more suitable for large companies that want to continuously access similar functions at a higher number / frequency, but for small teams with limited budgets, IBM Cloud Functions is a competitive choice.
- IBM Cloud Foundry
- IBM Cloud Virtual Servers
There is a learning curve equipped with Kubernetes. Without training, it may be difficult to proceed in the middle of the project.
IBM Cloud Support and Implementation
Kubernetes Pod clusters have a tendency to fail when they are first built. In most cases, the built-in Kubernetes functions will help you solve resource problems, such as storage and monitoring. You need to provide durable and reliable cloud storage, while also monitoring any network problems or failures.
Basic (free) - I like the auto zoom function. It helps us not to worry too much about reliability, so we can focus on our core business.
A very powerful tool. Easily deploy and manage containerized applications. Fully secure and easy to automate and monitor your application, we have been using it for a year. We deployed JupyterHub once.
- IBM Cloud Docs
- Ability to check uptime status for IBM Cloud products
- Access to IBM and Developer communities through Stack Overflow or GitHub
- IBM Cloud product demos and tutorial videos
Have these resources has enabled me to locate more quickly how to operate correctly for program deployment.
Using IBM Cloud Kubernetes Service
5 - cloud foundoury ，Containers，Python application
3 - Full-Stack DevOps Engineer， Software Engineer，DevOps Architect
- nginx
- fluentd
- jenkins
- Microservices architecture
- Lift and shift – from servers to cloud
- Machine learning and Kubernetes
- software development lifecycle
Evaluating IBM Cloud Kubernetes Service and Competitors
Not Sure
- Price
- Product Features
- Product Usability
- Product Reputation
- Third-party Reviews
So far it's been great and way easier to deploy with scalability.
We are moving business critical applications to the cloud，but as with anything new we will learn and see the value.
IBM Cloud Kubernetes Service Support
| Pros | Cons |
|---|---|
Quick Resolution Good followup Knowledgeable team Kept well informed Immediate help available Support cares about my success | None |
Using IBM Cloud Kubernetes Service
| Pros | Cons |
|---|---|
Like to use Easy to use Well integrated Quick to learn Convenient Feel confident using | None |
- Deploy applications
- Quick response
- Ease of use and scalability
- Support document reading difficulties
- Managed add-ons for Istio and Knative