Webcasts
Abstract
As we approach the busy holiday season, it's crucial to ensure your systems are fully prepared to handle the increased demand. We're excited to announce our ongoing Peak Event Readiness webinar series, specifically designed to help you optimize your operations with IBM Sterling OMS.
Whether you're preparing for your first peak season or refining your existing strategy, our team of experts is here to provide guidance and support. We invite you to participate in our SME Panel discussion webinar session, where we'll share valuable insights, lessons learned, and practical advice to help you navigate the peak season smoothly, stably, and successfully.
Here's a sneak peek at the key topics we'll cover:
- IBM Order Hub Essentials: Dive into performance enhancements, customization options, and stability features.
- Optimizing On-Prem Container Scaling: Learn how to effectively scale IBM Sterling OMS and SIP during peak loads.
- Leveraging Agentic AI in Self-Service Tools: Discover how AI can streamline your operations and improve customer experience.
- OMS-SIP Integration & Best Practices: Understand the importance of seamless integration and explore best practices.
- SIP Optimizer Readiness: Get ready for peak season with proven best practices and strategies.
- Performance & Customization Strategies for Next-Gen Call Center and Store: Explore innovative approaches to boost efficiency and customer satisfaction.
Don't miss this opportunity to enhance your peak season readiness with IBM Sterling OMS.
Content
Webinar Session Details:
Title: STE Webinar: IBM Sterling OMS Peak readiness 2025 - SME Panel discussion
Mike Callaghan - Program Director, IBM Sterling OMS Support
Shoeb Bihari - Executive IT Specialist | SRE Architect | SWAT, IBM Sterling OMS Support
Vishal Arora - Advisory Software Engineer, IBM Sterling Order Management
Avinash Chandrashekhar - Senior Software Developer, IBM Sterling Order Management
Hemanth Kumar - Software Developer, IBM Sterling Order Management
Nisha Kukken - Software Developer, IBM Sterling Order Management
Karson Ng - Architect, IBM Sterling Order Management
Tin Vo - Senior Software Developer, IBM Sterling Order Management
Chiranjeevi Dasegowda - Senior Support Engineer, IBM Sterling Order Management
Madhavi Pilaka - Technical Support Engineer, IBM Sterling Order Management
Jitendra Buge - Technical Lead, IBM Sterling Order Management
Session Material:
auto-managed to Yes, enabling HPA-controlled pods. Is there a way to selectively start or stop pods on-demand? Is updating the CRD and redeploying the only available method? Alternatively, are there other mechanisms to scale App/Agent pods up or down dynamically?auto-managed is set to "yes" and Horizontal Pod Autoscaler (HPA) is defined, the Operator delegates control of the replica count to the HPA.This means:- The replica count is dynamically managed based on metrics like CPU or memory usage.
- The Operator updates the corresponding Custom Resource (CR) instances and underlying Deployments to reflect the HPA-driven scaling.
- You can temporarily disable HPA by removing or modifying the HPA object.
- Then, update the CR to set the desired replica count manually.
- But this breaks the auto-managed behavior, so it’s not ideal for long-term use.
- If the goal is to decommission or stop a specific server, you can remove it from the server list (e.g., in the CR or config map).
- The Operator will reconcile and remove the corresponding pod.
- This is the preferred method for on-demand control without interfering with HPA.
- These can be managed similarly — by updating the server list or configuration, the Operator will handle pod lifecycle accordingly.
- With
auto-managed: yesand HPA enabled, replica count is auto-controlled. - For on-demand pod control, update the server list or config — not the replica count.
- Avoid manual CR updates for scaling unless HPA is disabled.
- If Customers have implemented any customizations, please ensure that the relevant columns are properly indexed.
- For more detailed guidance, refer to the IBM Sterling Order Management Performance Guide.
- Learn more about the Node Inventory Capacity Optimization feature in IBM Sterling Order Management System by visiting the following article.
- For more information on using
CustomIVInvokeRestAPIto call Inventory Visibility APIs in IBM Sterling Order Management, refer to the official documentation.
Presentation
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Document Information
Modified date:
03 October 2025
UID
ibm17245556