Note: By registering, you will be able to get notified about this event recording and related product-level information.
Note: By registering, you will be able to get notified about this event recording and related product-level information.
Feb 17, 2025 09:00 PT,12:00 ET, 17:00 UTC
Feb 17, 2025 09:00 PT,12:00 ET, 17:00 UTC
Jan 24, 2025
09:00 PT,12:00 ET, 17:00 UTC
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Webinar
Kubernetes in the Real World: The Operational and Financial Challenges
Kubernetes in the Real World: The Operational and Financial Challenges
Kubernetes in the Real World: The Operational and Financial Challenges
Khursheed Hassan
CEO & Product
Your Guide
Organizational Frustrations with Kubernetes Adoption
Many companies dive into Kubernetes without fully grasping its implications, leading to:
Unclear Ownership: Who is responsible for managing K8s—Platform teams, DevOps, or application developers?
Lack of Standardization: Different teams within the same company deploy applications differently, causing inconsistency.
Security Concerns: Many organizations struggle to enforce RBAC policies, network segmentation, and compliance with Kubernetes.
Cluster Sprawl: As teams create multiple clusters across environments (on-prem, hybrid, and multi-cloud), operational overhead skyrockets.
A survey by The CNCF and FinOps Foundation found that 68% of organizations underestimate their Kubernetes infrastructure costs, leading to budget surprises.
Hidden Costs & Resource Wastage
Kubernetes does not inherently reduce costs—in fact, without proper governance, it can lead to higher expenses due to:
Over-Provisioned Resources: Organizations often allocate more CPU & memory than required, leading to cloud cost overruns.
Lack of Visibility: Many teams struggle with tracking cloud spend, making cost optimization difficult.
Inefficient Workloads: Running workloads inefficiently results in excessive scaling and wasted compute power.
What you'll learn
✅ Common Cost Pitfalls – Understanding where your Kubernetes spend is going
✅ Resource Efficiency Strategies – Rightsizing workloads and optimizing cluster utilization
✅ Operational Challenges at Scale – Managing clusters, workloads, and reliability
✅ Autoscaling Best Practices – How to scale smartly without unnecessary expenses
✅ The Role of FinOps in Kubernetes – Aligning engineering and finance for better cost control
✅ Real-World Case Studies – Success stories from companies that reduced their Kubernetes spend
🎯 Who Should Attend?
DevOps & Platform Engineers
Cloud Architects & SREs
CTOs & Engineering Leaders
FinOps & Cost Management Teams
Cloudidr is inventing a new category called Flex Compute (4th leg of the stool), customized for Non-steady state workloads. Flex Compute has multiple products customized for different types of workloads. Customers save 30-75% by directly purchasing through AWS/Azure/GCP instances/vms through Cloudidr at 10xx higher uptime.
Scheduled Compute: Optimizing Predictable Workloads
Scheduled Compute: Optimizing Predictable Workloads Scheduled Compute is designed for workloads with known patterns, such as batch processing, CI/CD, AI Inferencing, RAG, or regular data analytics jobs. It allows businesses to reserve compute capacity at specific times, ensuring resource availability when needed while significantly reducing costs by up to 50% versus on-demand.
Cyber Recovery Compute: Unparalleled Protection for Critical Data Cyber Recovery
Compute offers an ultra-reliable solution for disaster recovery and data protection. With 99.999% availability, it provides peace of mind for businesses needing to safeguard their most critical assets across major cloud providers. Businesses don't need to purchase expensive capacity reservations anymore to secure cloud capacity for random DR events. Cloudidr offers a 1 year cyber/DR policy at 75%+ lower cost.
Organizational Frustrations with Kubernetes Adoption
Many companies dive into Kubernetes without fully grasping its implications, leading to:
Unclear Ownership: Who is responsible for managing K8s—Platform teams, DevOps, or application developers?
Lack of Standardization: Different teams within the same company deploy applications differently, causing inconsistency.
Security Concerns: Many organizations struggle to enforce RBAC policies, network segmentation, and compliance with Kubernetes.
Cluster Sprawl: As teams create multiple clusters across environments (on-prem, hybrid, and multi-cloud), operational overhead skyrockets.
A survey by The CNCF and FinOps Foundation found that 68% of organizations underestimate their Kubernetes infrastructure costs, leading to budget surprises.
Hidden Costs & Resource Wastage
Kubernetes does not inherently reduce costs—in fact, without proper governance, it can lead to higher expenses due to:
Over-Provisioned Resources: Organizations often allocate more CPU & memory than required, leading to cloud cost overruns.
Lack of Visibility: Many teams struggle with tracking cloud spend, making cost optimization difficult.
Inefficient Workloads: Running workloads inefficiently results in excessive scaling and wasted compute power.
What you'll learn
✅ Common Cost Pitfalls – Understanding where your Kubernetes spend is going
✅ Resource Efficiency Strategies – Rightsizing workloads and optimizing cluster utilization
✅ Operational Challenges at Scale – Managing clusters, workloads, and reliability
✅ Autoscaling Best Practices – How to scale smartly without unnecessary expenses
✅ The Role of FinOps in Kubernetes – Aligning engineering and finance for better cost control
✅ Real-World Case Studies – Success stories from companies that reduced their Kubernetes spend
🎯 Who Should Attend?
DevOps & Platform Engineers
Cloud Architects & SREs
CTOs & Engineering Leaders
FinOps & Cost Management Teams
Cloudidr is inventing a new category called Flex Compute (4th leg of the stool), customized for Non-steady state workloads. Flex Compute has multiple products customized for different types of workloads. Customers save 30-75% by directly purchasing through AWS/Azure/GCP instances/vms through Cloudidr at 10xx higher uptime.
Scheduled Compute: Optimizing Predictable Workloads
Scheduled Compute: Optimizing Predictable Workloads Scheduled Compute is designed for workloads with known patterns, such as batch processing, CI/CD, AI Inferencing, RAG, or regular data analytics jobs. It allows businesses to reserve compute capacity at specific times, ensuring resource availability when needed while significantly reducing costs by up to 50% versus on-demand.
Cyber Recovery Compute: Unparalleled Protection for Critical Data Cyber Recovery
Compute offers an ultra-reliable solution for disaster recovery and data protection. With 99.999% availability, it provides peace of mind for businesses needing to safeguard their most critical assets across major cloud providers. Businesses don't need to purchase expensive capacity reservations anymore to secure cloud capacity for random DR events. Cloudidr offers a 1 year cyber/DR policy at 75%+ lower cost.
Solutions that drive success and propel your business forward
Solutions that drive success and propel your business forward
Solutions that drive success and propel your business forward
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Solutions that drive success and propel your business forward