Red Hat OpenShift Management

Automated Multi-Cluster Deployment –

Platform-specific and multi-tenant installations

Patch & Upgrade Management –

Ensuring your OpenShift environment stays updated and secure

Custom Planning & Scoping –

Optimizing cluster resources based on workload service requirements

Day-0 Operations –

Routine management, performance tuning and troubleshooting

Ongoing Cluster Health Checks –

Proactive monitoring and issue resolution

Patch & Upgrade Management –

Ensuring your OpenShift environment stays updated and secure

Capacity Planning & Scaling –

Optimizing cluster resources based on workload service requirements

Day-2 Operations –

Routine management, performance tuning and troubleshooting

Security Hardening –

Implementing RBAC, network policies, and encryption standards

Advanced Identity Management –

Integration with LDAP, SSO, and OAuth service providers

Compliance Enforcement –

Aligning with industry standards such as PCI-DSS, HIPAA, and SOC2

Vulnerability Management –

Automated security scans and patching of container level protocols

CI/CD Implementation –

Using tools like ArgoCD and Tekton for automated deployments

GitOps/Flux Development –

Integration with Jenkins, Tekton, and OpenShift pipelines

Security Automation –

Embedding security policies in the CI/CD workflow

Infrastructure as Code (IaC) –

Automating infrastructure provisioning with templates and Ansible

Automated Backup Solutions –

Implementing Velero, OCP, or cloud-native backup solutions

Disaster Recovery Planning –

Architecting multi-zone and cross-regional failover locations

Multi-Region Data Replication –

Ensuring business continuity with data resiliency

Rapid Recovery & Incident Response –

Quick rollback strategies in case of failures

Resource Utilization Analysis –

Identifying unused/underutilized resources for cost optimization

Cost Management & Forecasting –

Examining cloud spend and reducing infrastructure costs

Performance Tuning –

Optimizing container runtime, networking, and storage for efficiency

Autoscaling & Load Balancing –

Ensuring workloads are dynamically scaled based on traffic patterns

Containerization of Applications –

Existing application modernization and migration to containers

Automated Deployment Pipeline –

CI/CD integration to deploy application releases

Application Scaling & High Availability –

Managing horizontal/vertical application scaling of applications

End-to-end Application Support –

Troubleshooting and performance optimization for running workloads

Monitoring & Logging –

Leveraging tools like Prometheus, Grafana, and OpenShift Logging

Alerting & Incident Management –

Proactive alerts for failures, issues, and security breaches

Application & Infrastructure Monitoring –

Full visibility into cluster and application health

Log Aggregation & Analysis –

Centralized log collection for troubleshooting and debugging