Kubernetes Accelerator
Simplifies your transition to Kubernetes and a microservices architecture
Kubernetes CoE
- EKS, AKS, GKE
- Kops, Rancher, OpenShift, and Konvoy
- Kubernetes on Mesos
- On-Premise or Bare Metal
- Ensure deployment flexibility by design
- Guarantee hybrid or multi-cloud agility
- Provide efficient resource management
- Achieve global scale in minutes
- Enhance security and ensure compliance
Implement Kubernetes in a matter of weeks with our K8s Acceleration Platform.
Outdated software delivery platforms are hindering your progress and slowing you down? Quickly adopt Kubernetes without overwhelming your developers.
Deploy Kubernetes On-Prem or Cloud-Prem in 30 Minutes
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Experience SaaS-like convenience while maintaining full data sovereignty.
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Achieve enterprise-grade maturity in Kubernetes software delivery.
Cloudberry360: Simplifying Containerization
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Containerize your apps with just a few clicks—no need to write a single dockerfile.
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Utilize built-in templates to automate the containerization process.
Painless Multi/Hybrid-Cloud Deployments
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Enable your developers to focus on writing business logic while Cloudberry360 handles the complexity.
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Benefit from advanced deployment capabilities.
Key Takeaway
- Image promotion across clusters.
- Release channels for fine-grained control across multiple clusters.
- Hybrid-cloud deployments from a single pipeline.
Key Takeaway
- Early Security: Integrates security from the start to catch vulnerabilities before production.
- Continuous Protection: Automates security checks in the CI/CD pipeline for ongoing threat defense.
- Simplified Compliance: Automates compliance checks to meet regulations effortlessly.
Unified DevSecOps
Integrates security practices into the DevOps process. Focuses on automation, monitoring and early identification of vulnerabilities. Aligns development, operations, and security teams for faster, secure software delivery.Enhanced Security and Faster Time-to-Market
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Identify and mitigate security risks early in the development process, reducing vulnerabilities in production.
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Automate security testing and compliance checks to maintain the speed of development and deployment.
Cost Efficiency, Collaboration and Culture
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Reduce the cost of fixing security issues by addressing them during development rather than after deployment.
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Foster a culture of shared responsibility for security across development, security, and operations teams.
Integrated Security Tools
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Static Application Security Testing (SAST): Automatically analyze source code for vulnerabilities during development.
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Dynamic Application Security Testing (DAST): Simulate attacks on running applications to identify potential weaknesses.
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Software Composition Analysis (SCA): Detect vulnerabilities in open-source components and third-party libraries.
Optimize Your Spend
Kubernetes is widely adopted for container orchestration, but without cost optimization, it can lead to overspending. Over-provisioning or under-provisioning resources leads to waste or performance issues. Managing Kubernetes clusters across different clouds can increase complexity and hidden costs.Rightsizing Workloads
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Identifies optimal resource requirements (CPU, memory) for each pod. Uses tools like Kubecost or Vertical Pod Autoscaler (VPA) to recommend optimal configurations. Prevents over-provisioning resources and reduce unused capacity.
Leverage Autoscaling
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Enables Horizontal Pod Autoscaler (HPA) for scaling up/down based on traffic demands. Adjusts the cluster autoscaler to automatically add or remove nodes. Monitors real-time metrics to avoid over-scaling.
Use Spot and Preemptible Instances
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Runs non-critical workloads on spot instances (AWS, Azure) or preemptible VMs (Google Cloud) for significant savings. Ensures workloads can tolerate interruptions and recover quickly.
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Sets proper resource quotas and limits on namespaces to avoid resource hogging. Uses tools like OPA (Open Policy Agent) to enforce these policies across environments.
Limit Resource Quotas and Limits
Key Takeaway
- Monitor and Right-Size Resources: Continuously evaluate workload requirements and adjust resources accordingly.
- Use Spot Instances for cost-effective scaling. Autoscale based on demand to prevent over-provisioning.
- Enforce Policies for resource usage to control costs across teams.
- Leverage Cost Tools for real-time visibility and forecasting.
K8S Provisioning
