40%
Faster Deployments
Automated processes have cut deployment times by nearly half
30%
Optimized Resources
Better resource utilization has led to a 25% cut in infrastructure costs
50%
Stronger Security
Enhanced compliance has halved the number of security incidents
20%
Improved Performance
Applications now run faster and more reliably with a significant boost in response times
Mulesoft
- Market Leader in Enterprise iPaaS, Complete Lifecycle
- Compose APIs to promote reusability
- API-Led Best Practices Harnessing C4E
- Universal API Management
Redhat
- Red Hat OpenShift is an enterprise container platform with best-in-class Kubernetes technology that will evolve with the business needs.
- 30% higher application developer productivity
- 525% ROI over 5 years
- 30% more efficient infrastructure teams
- 92% of the industry relies on containers, so Kubernetes becomes the natural choice for deployment through Runtime Fabric.
Compass Minerals was a MuleSoft customer operating on Runtime Fabric VM/Bare-Metal Version. When the system was ready to go live, the delivery quality was poor. The partner responsible for the implementation exhausted the entire budget, forcing Compass Minerals to halt the project.
The IT team at Compass Mineral – a small group not fully trained on the Anypoint platform – faced the daunting task of getting it to work correctly. Recognizing the challenge, the Head of IT contacted NJC Labs for assistance.
Our NJC Leadership Team met with Compass Minerals to understand the current and target architecture and devise a plan to achieve their goals. Compass Minerals’ IT team was highly impressed by NJC Labs’ expertise and support.
Challenge
Migration Complexity
Migrating the existing Runtime Fabric setup to OpenShift required detailed planning and execution. This process was particularly complex for Compass Minerals, given their numerous applications and dependencies.
Compatibility Challenges
Ensuring all Mule apps and components worked seamlessly with OpenShift was quite a task. Various dependencies and configurations needed adjustments for smooth operations.
Resource Management
Successfully managing resources in a containerized environment required a deep understanding of OpenShift’s capabilities, including CPU, memory, and storage.
Performance Tuning
Adjustments and fine-tuning were necessary to achieve optimal performance in the new environment. Optimizing OpenShift for high availability and performance was essential.
Security Considerations
OpenShift offers extensive security features that benefit developers and IT professionals. However, managing security configurations requires appropriate knowledge and a careful approach. This includes setting up RBAC, security policies, and network configurations in advance.
Objectives
| Improve Scalability and Flexibility | Make sure the infrastructure that is being designed is flexible enough to handle increasing workload. |
| Enhance Security and Compliance | Make sure the infrastructure that is being designed is flexible enough to handle increasing workload. |
| Streamline Management and Monitoring | Take advantage of the various management capabilities that are provided by OpenShift for a solution to manage applications. |
| Support Multi-Cloud and Hybrid Cloud Strategies | Safely deploy Microsoft product offerings to various environments such as on-premises, public, and hybrid clouds. |
| Facilitate DevOps and CI/CD Integration | Seamless complementary integration with CI/CD cycles to enhance the productivity of applications development and deployment. |
| Increase Operational Efficiency | Minimize the number of activities that have to be personally attended by members of IT teams through automating all basic operational processes. |
| Ensure Consistency and Standardization | Simplify the deployment environment for applications to lower the risks of complexity and ensure that flexibility outweighs the risks of more conscripts. |
| Optimize Performance | Maximize resource utilization and application performance. |
| Achieve Cost Efficiency | Optimize infrastructure costs through better resource management and reduced need for over-provisioning. |