San Francisco
Joined June 2016
MinervaDB retweeted
fsyncDATA Circle is open for founding nominations. A private room for the people who run India's GCC data estates. Sixty seats. Invitation only. No fee, no sponsors, no sales, ever. Founding session: Bengaluru, November. fsyncdata.io/request-an-invi… #fsyncDATACircle #GCC
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MinervaDB retweeted
AI doesn't run on algorithms alone — it runs on data. Better models start with cleaner, richer, well-governed data. The teams winning with AI are the ones treating data as a product, not an afterthought. #AI #Data #MachineLearning #DataScience #DataEngineering #MinervaDB @WebScaleDBA
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Avoid performance pitfalls in Apache Cassandra! Our latest blog explores the top 10 anti-patterns that hinder speed, scalability, efficiency. Optimise clusters with proven strategies zurl.co/1NQTG #Cassandra #DatabasePerformance #DevOps #SRE #Scalability @WebScaleDBA
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Boost your #MongoDB performance with these 7 golden rules for high availability, indexing, sharding, and more. Build a scalable, secure, and reliable deployment. 🔗 zurl.co/mh6OO #Database #MongoDBTips #SRE #DevOps @WebScaleDBA
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Gain deep visibility into your MariaDB workloads! Learn how to log user activity and audit transactions to boost performance, security, and compliance. 🔗 zurl.co/C082j #MariaDB #DatabaseSecurity #SQLAudit #SRE #Observability @WebScaleDBA
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Resolve Cassandra thread contention quickly: master JVM tuning, thread pool sizing, GC-aware configurations, asynchronous profiling, and enhanced monitoring. 👉 zurl.co/fVFjs #Cassandra #NoSQL #DatabasePerformance #ThreadContention #CassandraDBA #MinervaDB
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Resolve MariaDB deadlocks & livelocks using logging, config tuning, backoff, and monitoring. Boost DB concurrency & reliability! 👉 zurl.co/cJPSY #MariaDB #DBA #PerformanceTuning #Deadlock #DevOps #Database
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🔄 PostgreSQL PITR implementation secrets: • WAL-E/WAL-G for automated WAL archiving to S3/GCS • recovery_target_time for precise point-in-time recovery • Continuous archiving with archive_command prevents data loss • Base backups + WAL replay = recovery to any second • Test your recovery process monthly - backups without testing are just hopes Recovery time: minutes, not hours ⚡ PostgreSQL #PITR #DatabaseRecovery #BackupStrategy #WAL #DatabaseEngineering #DevOps #DataProtection #SRE #TechTwitter #PostgreSQL #DBATips @WebScaleDBA #PostgreSQLDR #DR #DisasterRecover #PostgreSQLSupport
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🚀 Linux Tip: Transparent Huge Pages (THP) can negatively impact database performance. THP automatically creates 2MB pages vs standard 4KB, but causes: ❌ Memory fragmentation ❌ Allocation delays ❌ Unpredictable latency spikes Disable with: echo never > /sys/kernel/mm/transparent_hugepage/enabled #Linux #Database #Performance #MySQL #PostgreSQL #Oracle #MongoDB #TuningTip #SysAdmin #DevOps #MemoryManagement #DatabaseTuning #MariaDB #MinervaDB @WebScaleDBA
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Build sub-ms, high-throughput #Valkey clusters for FinTech! Secure, scalable, and optimised for real-time payments. Read how 👉 zurl.co/3CAyJ #FinTech #Database #Latency #InMemoryDB @WebScaleDBA
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Hitting PostgreSQL’s 1600 column limit? Learn how to increase it safely by modifying MaxTupleAttributeNumber, plus safer design alternatives like JSONB and vertical partitioning. 👉 zurl.co/5oslV #PostgreSQL #DBA @WebScaleDBA #OpenSource #DatabaseEngineering
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Achieve PostgreSQL horizontal scalability with a robust, horizontally scalable #PostgreSQL infrastructure for growing enterprise data demands. #HorizontalScaling #OpenSourceDB #DevOps #HighAvailability @WebScaleDBA zurl.co/VQsTZ
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Discover how a planet-scale payment platform transformed its global data architecture with Snowflake Data Mesh. #Snowflake #DataMesh #Fintech #DataTransformation #CaseStudy #Payments #CloudDataPlatform #RealTimeAnalytics zurl.co/Pg3m9
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Enhance #PostgreSQLPerformance by ensuring efficient index usage through execution analysis, predicate review, statistics updates, index maintenance, and query optimisation. #PostgreSQLPerformance @MinervaDB #dba #sql zurl.co/F9Of
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#PostgreSQLPerformance by addressing slow queries, offering strategies for identifying, analyzing, and optimizing them for better overall performance. #MySQLPerformance @MinervaDB #dba zurl.co/aGHw
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#MySQLThread performance, detailing how #MySQL creates a user thread for each connection. It offers strategies for addressing thread concurrency bottlenecks and shares recommended metrics to improve thread performance. #MySQLPerformance @MinervaDB #dbahttps://zurl.co/LMEl
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MySQL thread performance, detailing how #MySQL creates a user thread for each connection. It offers strategies for addressing thread concurrency bottlenecks and shares recommended metrics to improve thread performance.#MySQLPerformance @MinervaDB #dba zurl.co/ZCUu
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The Materialized Path model in #PostgreSQL stores each node's path in a single column, simplifying efficient queries for hierarchical data like categories or org charts.#PostgreSQLPerformance @MinervaDB #dba zurl.co/bYEw
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In #MySQL, a "fatal background process" occurs when a critical background process fails, often due to resource shortages, software bugs, or configuration issues. #MySQLPerformance @MinervaDB #dba zurl.co/qasI
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