How to control Db2 memory consumption with STMM

Oracle ASM Metadata Recovery: Real-world Case Resolution: Recently i resolved an interesting issue on one of our Oracle HAS environments where an ASM disk group suddenly showed 100% utilization, even though only 32 MB of control file data existed inside. After a high-power rebalance operation (POWER 11), the database began continuously restarting, a clear sign of ASM metadata inconsistency. Upon investigation, we found: 1. The disk group was single-disk and external redundancy, leaving no room for auto-recovery. 2. ASM metadata had become inconsistent, reporting TOTAL_MB = 0 and USABLE_FILE_MB = 0. 3. The physical disk itself (/dev/sdm1) was healthy and ASM headers were intact (kfed read verified). Resolution Steps: 1. Dismounted the affected disk group to stabilize the instance. 2. Verified disk health and ASM headers. 3. Dropped and recreated the REDO disk group cleanly. 4. Re-enabled ASM auto-start and validated all groups. 5. Post-fix validation confirmed all ASM diskgroups were mounted, alert logs clean, and database stable. Key Takeaway: In single-disk external redundancy setups, avoid running high-power rebalance operations. Use moderate power levels (3–5) and perform regular ASM metadata backups to safeguard against unexpected corruption.

🚀 Troubleshooting Performance Bottlenecks in Oracle Database Performance issues are among the most common challenges faced by DBAs. Identifying the root cause quickly can make all the difference between a smooth-running database and frustrated users. Here’s a quick approach I follow when troubleshooting bottlenecks 👇 1️⃣ Check Wait Events: Use V$SYSTEM_EVENT or V$SESSION_WAIT to identify what the database is waiting on. 2️⃣ AWR & ADDM Reports: Generate AWR reports to pinpoint high-load SQL, I/O waits, or CPU usage spikes. 3️⃣ SQL Tuning: Review execution plans using DBMS_XPLAN.DISPLAY_CURSOR to identify inefficient queries. 4️⃣ Resource Utilization: Monitor CPU, memory, and I/O stats using OEM or OS tools (like top, iostat). 5️⃣ Optimizer Statistics: Keep table and index statistics up to date to help the optimizer choose the best plan. 📊 A systematic, step-by-step approach ensures issues are resolved efficiently without random guessing. 🧠 Remember: “Performance tuning is not magic — it’s methodical analysis.” #Oracle #OracleDBA #DatabasePerformance #OraclePerformanceTuning #DBATips #OracleDatabase #RMAN #SQLTuning #AWR #ADDM #OracleCloud #PerformanceOptimization #DatabaseAdministration #Oracle19c #DataGuard #OEM #QueryOptimization #DatabaseTuning #TechCommunity #ITProfessionals #DBACommunity #EnterpriseDBA #Troubleshooting #OracleExperts #DatabaseEngineers

Excited to share my latest guide on Oracle 19c Data Guard configuration, including Data Guard Broker setup! In this walkthrough, I cover: a) Preparing primary and standby databases with correct parameters and listener configurations. b) Setting up standby redo logs, archive destinations, and log transport services. c) Using RMAN to duplicate databases for standby environments. d) Enabling Data Guard Broker, creating configurations via DGMGRL, and managing switchover/failover scenarios. e) Monitoring log apply status and ensuring high availability for mission-critical applications. Whether you’re building a robust high-availability architecture or optimizing your disaster recovery strategy, this guide provides a step-by-step approach to make your Oracle Data Guard setup seamless and reliable. Read More on Here: https://lnkd.in/gVwcaj8K #OracleDatabase #DataGuard #HighAvailability #DisasterRecovery #Oracle19c #DBA #DatabaseAdministration #Doyensys #OCI

🗄️ Database Performance Tuning: Queries to Speed of Light Slow queries can destroy your application performance. Learn how to optimize like a pro! ⚡ Database Performance Hierarchy: 1️⃣ Query Optimization

𝐇𝐨𝐰 𝐭𝐨 𝐢𝐦𝐩𝐫𝐨𝐯𝐞 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞? Here are some of the top ways to improve database performance: 1. Indexing Create the right indexes based on query patterns to speed up data retrieval. 2. Materialized Views Store pre-computed query results for quick access, reducing the need to process complex queries repeatedly. 3. Vertical Scaling Increase the capacity of the hashtag #database server by adding more CPU, RAM, or storage. 4. Denormalization Reduce complex joins by restructuring data, which can improve query performance. 5. Database Caching Store frequently accessed data in a faster storage layer to reduce load on the database. 6. Replication Create copies of the primary database on different servers to distribute read load and enhance availability. 7. Sharding Divide the database into smaller, manageable pieces, or shards, to distribute load and improve performance. 8. Partitioning Split large tables into smaller, more manageable pieces to improve query performance and maintenance. 9. Query Optimization Rewrite and fine-tune queries to execute more efficiently. 10. Use of Appropriate Data Types Select the most efficient data types for each column to save space and speed up processing. 11. Limiting Indexes Avoid excessive indexing, which can slow down write operations; use indexes judiciously. 12. Archiving Old Data Move infrequently accessed data to an archive to keep the active database smaller and faster.

My Contribution to  #JoelKallmanDay 2025 A Simple Oracle Advanced Queue (DBMS AQ) Example: Automatic Callback Oracle Advanced Queuing (AQ) provides a powerful mechanism for automatic, event-driven data processing with built-in retry mechanisms and callback functions. In this post, we'll explore how to implement a fully automated data synchronization system using DBMS_AQ callbacks that automatically process messages as they arrive, with intelligent retry handling for failed operations. https://lnkd.in/exDVZryt #JoelKallmanDay OracleAce OracleAce @OracleAPEX #PLSQL #OracleAQ

Imagine your database is slow. Users are experiencing lag. Your application is sluggish. Fortunately, most database performance issues can be traced back to a few common causes that can be resolved without a complete overhaul. Our colleague Mike wrote a blog about it, sharing his insights: ➡️ Poorly written queries taking 30 seconds can often run in under 1 second after optimization ➡️ Buffer pool hit ratios below 90% mean your database is constantly reading from disk instead of serving from memory ➡️ Smart indexing is the lowest-hanging fruit for performance optimization If you want to find out more about how to monitor the right metrics, optimize slow queries, add strategic indexes, and implement intelligent caching, this article is for you! 👇 https://lnkd.in/eGK7kPZc

#Day9 #OracleConcepts 🔖 Oracle Data Guard: Ensuring High Availability: Oracle Data Guard is one of the most powerful features to ensure high availability of your database especially during disasters or planned maintenance helping to achieve near zero downtime. There are two key scenarios in a Data Guard environment: 🔁 Switchover: 👉 A Switchover is a planned activity. 👉 We manually switch the Primary database to Standby to perform maintenance or upgrades. 👉 During this time, the Standby becomes the Primary and continues serving user requests seamlessly. 👉 Once maintenance is complete, roles can be switched back. Note: 👉 In Switch over the redo logs continue to transmit but in the opposite direction. 🎯 Failover: 👉 A Failover occurs when something unexpected happens such as a system crash, hardware failure, or disaster on the Primary. 👉 In this case, to minimize downtime and restore services quickly, the Standby is promoted to Primary. Note: 👉 Here, the redo logs cannot be transmitted, as the original Primary is unavailable and will require recovery once it comes back online. 🧠 In summary: Switchover → Planned, reversible, no data loss Failover → Unplanned, emergency, possible minimal data loss. Both ensure business continuity but with different triggers and procedures. #Oracle #DataGuard #HighAvailability #Database #DisasterRecovery #DBA #OracleDatabase #DB2toOracle #OracleDBA #DailySeries #LearningJourney

Today we’re introducing the confidential oracle infrastructure; the multi-node #Chainlink #Data #Feeds architecture running entirely inside the Super Protocol Trusted Execution Environment (TEE). 🔗https://lnkd.in/dr9_ixh5 This system brings together verifiable computation, secure data flows, and #high-availability #design all within a single isolated container. At the core lies a specially designed caching service operating in a fully #confidential #mode. It guarantees the immutability of data sources. A single deployment can handle more than 250 Chainlink feeds simultaneously under continuous operation. Unlike traditional deployments, here the runtime is attested: what executes is exactly what was built and approved, verified by Super Protocol’s attestation infrastructure. A key element of this system is our #confidential price aggregator, a caching service built to operate inside #TEE. This aggregator acts as a single “truth layer” for all oracle nodes, maintaining real-time consistency while reducing API load by up to 80%. #TTL based refresh logic and proactive prefetching ensure that the data remains continuously fresh  without cache misses or stale entries. All data handling, from key management to outbound #API calls, is confined within the Trusted Execution Environment. Secrets, its database passwords, #API tokens, and oracle private keys, are stored in Super Protocol’s distributed encrypted storage and it’s never leaving the #TEE boundary. Each operation is executed and logged under hardware-verified isolation, allowing anyone to #cryptographically confirm that the system operates as declared, not as assumed. All data processing is fully confidential and verifiable, both inside the container and through #HTTPS connections to external data sources. This significantly enhances the security and reliability of oracles for smart contracts. ☝Deep dive in the future of multi-node chainlink data feeds on Super Protocol.

🚀 New Video Alert: Automatic Fast-Start Failover (FSFO) for Oracle Data Guard 🚀 We are excited to share a video where Rob Watson and I take you through a deep dive into Fast-Start Failover (FSFO) configuration for high-availability in Oracle Data Guard environments. If you’re working with mission-critical databases and need a robust solution for automatic failover, this one’s for you. 🔍 What you’ll see in this video: • A clear architecture walkthrough of setting up FSFO with a primary, standby, and an observer. 🎯 Why this matters: With FSFO, you get near-instant failover when a critical error occurs—eliminating the need for manual intervention and reducing downtime. In today’s 24/7 operations, that kind of resilience isn’t a “nice to have”—it’s essential. 🧠 Recommended for: Database administrators, site reliability engineers, cloud architects, and anyone deploying high-availability solutions for Oracle databases (especially on Exadata, OCI, or hybrid architectures). 👉 Watch now: https://lnkd.in/gAVSh8u2 Rob Watson #Oracle #DataGuard #FSFO #Exadata #HighAvailability #CloudInfrastructure #MissionCritical #DatabaseEngineering #OracleCloud #TechDemo Feel free to share this in your network if you found it valuable!