Oracle Resiliency: Choosing the Right Data Protection Approach for Every Failure
October 1 | Register Now Oracle recovery requires more than a backup strategy. Accidental deletion, logical corruption, infrastructure failure, site loss, and ransomware demand different combinations of backup, snapshots, and replication. This session explains where each data protection layer does and doesn’t belong in an Oracle recovery architecture. Through practical failure scenarios, we’ll examine how to align RPO, RTO, retention, availability, and recovery-location requirements with the right recovery mechanism. You’ll also learn how to identify overlap, avoid common recovery gaps, and use storage automation to apply consistent protection policies across production, development, test, and DR environments. Session takeaways: Map Oracle failure scenarios to the appropriate data recovery mechanism. Identify protection overlap, operational complexity, and recovery gaps before an incident exposes them. Translate workload requirements into practical RPO, RTO, retention, availability, and recovery-location decisions. Register Now!Actionable Assessments: Prepare Your Infrastructure for Oracle 26ai
August 20 | Register Now As organizations adopt Oracle AI Database 26ai with capabilities like AI vector search, understanding whether their existing data infrastructure can support these new workloads becomes increasingly important, while keeping costs under control. Join us as we explore how to analyze peak workload concurrency, optimize storage redundancy, and map advanced feature dependencies. Attendees will walk away with an actionable framework for evaluating their own environment, including access to a complimentary, privacy-first Everpure readiness assessment to help automate the planning process. Key takeaways: See your true workload and capture a consolidated, hour-by-hour view of peak demand. Crush storage bloat and learn how real-world environments are safely shrinking their storage footprints. Learn how to align infrastructure for active features like TDE, HCC, and Smart Scan without over-buying hardware. Secure your assessment and get exact sizing recommendations. Register Now!See It Before It Happens: Predict and Fix Infra Issues Early
June 25 | Register Now! Database and infrastructure teams often struggle to predict how changes will affect application real-world performance, capacity, and service levels. Without clear visibility into where applications are running and how they consume resources, even small adjustments can introduce unexpected latency, IOPS bottlenecks, or capacity shortfalls, making troubleshooting slower and increasing the risk of missing SLAs. Join us and learn how to: Use scaling simulations to predict impacts on latency, IOPS, and capacity before changes are made. Apply data intelligence to identify where applications are running and how they consume resources. Improve performance planning and reduce troubleshooting time while maintaining stronger adherence to SLAs. Register Now!Unlock AI Capabilities: Best Practices for Risk-Free Oracle 26ai Upgrades
April 16 | Register Now! Upgrading to Oracle AI Database 26ai with AutoUpgrade simplifies the database process. Yet many teams can struggle with the storage infrastructure risk from performance variability, downtime and operational complexity during the transition. This session explores how to remove this infrastructure friction from Oracle 19c to 26ai upgrades by leveraging non-disruptive storage operations, snapshot-based rollback, and consistent performance at scale. Learn how to: Upgrade to Oracle 26ai using infrastructure best practices Align to a unified data platform Provide a stable foundation for AI-enabled workloads Register Now!Click. Configure. Run. Presets and Workload Setups for Consistent Database Environments
March 24 | Register Now! As database estates scale, DBAs spend an increasing amount of time re-validating the same storage constructs, compliance, and more—rather than improving database reliability and recoverability. This walkthrough demonstrates how workload-aware presets encapsulate these requirements into reusable, prescriptive configurations for well-defined database environments. By decoupling database intent from underlying storage mechanics, DBAs apply consistent protection, performance, and governance policies without per-database tuning or scripting. The result is deterministic behavior across the estate, faster deployment, and reduced operational risk as environments grow. Join us to learn about: Repeatable configuration at scale: Presets enforce consistent snapshots, QoS, naming, and retention across all databases. Policy-driven orchestration: Database workload intent is applied through templates, not scripts or manual configuration. Predictable recovery behavior: Consistent workload delivers reliable, high-performance restores with less risk. Register Now!
