Your Kubernetes clusters are running fine — but is your cloud bill?

As organizations adopt Kubernetes for its scalability and flexibility, cloud costs can often escalate before anyone realizes. Despite the availability of numerous cost-saving strategies, many fail to deliver meaningful impact without extensive architectural or tooling changes.

In this talk, I’ll walk you through three practical strategies that significantly reduced cloud spend in our Kubernetes/OpenShift environment — without sacrificing performance or stability. These approaches are grounded in real-world implementation and are designed to bring measurable benefits with minimal disruption.

We’ll explore:

• The core principles behind each strategy
• The prerequisites to consider before implementation
• The types of workloads best suited for each approach

To broaden your toolkit, the session will also include a curated list of industry-recognized cost optimization techniques, helping you determine which methods are most applicable to your infrastructure and business model.

Whether you're a platform engineer, SRE, or DevOps professional, you'll leave this session with actionable insights and a framework to make smarter, cost-conscious decisions for managing Kubernetes at scale.

⚡ Takeaways:
- Proven, field-tested cost optimization strategies
- Insight into workload-specific tuning
- Broader awareness of cost control techniques used across the industry

Tired of manually triggering deployment pipelines and tracking releases across environments?
Let’s explore how to build a truly automated, self-sustaining software delivery process.

Despite advancements in CI/CD automation, deployments and releases continue to be a significant operational burden for most organizations.

This talk doesn’t focus on specific tools or products but instead walks you through a production-proven approach for streamlining software delivery by tightly integrating:

• Project management tools like Jira as the source of truth
• CI/CD pipelines for build, test, and deployment
• Cloud-native event-driven services to glue everything together

At the core of this system is the integration of Jira workflows with your automation stack. Every state change in Jira (such as moving a ticket to “Ready for Release”) can automatically trigger specific downstream actions in your CI/CD pipeline for deployments across various environments based on conditions being satisfied. On a high level view, this is made possible by:

• Jira webhooks to listen to workflow transitions
• An edge computing service (e.g., Azure Functions, AWS Lambda, or any cloud equivalent) to implement business logic
• Your existing CI/CD stack to perform the actual deployment and verification tasks

By using Jira as the single source of truth, teams gain real-time visibility, traceability, and a structured release process—without requiring manual intervention.

This approach allows teams to:

• Reduce operational overhead and context switching
• Simplify governance and auditing
• Improve release reliability and production stability
• Accelerate time-to-production through hands-free execution

Join us as we walk through our real-world implementation and learn how to modernize software delivery by connecting planning with execution—from idea to deployment, all in a streamlined and scalable way for your existing CICD setup.