Hosted by Kedar Vaijanapurkar · 🇺🇸 US · EN · 16 episodes
Established thought leaders with verified media credentials.
Welcome to Deep Dive MySQL — your podcast for MySQL and related technologies! Whether you're starting out or an experienced DBA, even managers handling DBAs this podcast will help you understand the basics and concepts of MySQL. We explore MySQL specific topics in depth, covering replication, high availability, backups, performance tuning, Group Replication, and more. Gain practical insights, tips, and real-world techniques to strengthen your MySQL skills. Subscribe now and join the community of MySQL professionals and enthusiasts!Youtube: https://www.youtube.com/@mysqlzThanks,K
Kedar Vaijanapurkar hosts Deep Dive MySQL, a technology show with 16 episodes published.
Upgrading MySQL major versions in production is never just a version bump - it’s a carefully planned process involving compatibility checks, replication strategy, testing, and controlled cut-over.In this episode, we walk
🎙️ Welcome to Episode 7 of our MySQL Group Replication Podcast Series! Ep. 7. Key Concepts in MySQL Group Replication InnoDB Cluster In this episode, we dive deep into the fundamental concepts that make MySQL Group Repl
In this episode, we provide an overview of the leading MySQL high availability (HA) solutions that organizations rely on to ensure fault tolerance, continuous uptime, and data durability. We explore five prominent option
🎙️ Welcome to the fifth episode of our MySQL Group Replication Podcast Series! Ep. 5. Limitations of MySQL Group Replication & InnoDB ClusterIn this episode, we explore the key limitations and constraints of deploying M
🎙️ Welcome to the fourth episode of our MySQL Group Replication Podcast Series! Ep. 4. MySQL Group Replication RequirementsIn this episode, we explain the infrastructure and server configuration requirements necessary t
🎙️ Welcome to the third episode of our MySQL Group Replication Podcast Series! Ep. 3. MySQL Group Replication Use CasesIn this episode, we explore the best use cases for MySQL Group Replication (GR) — a high availabilit
🎙️ Welcome to the second episode of our MySQL Group Replication Podcast Series! Ep. 2. Introduction to MySQL InnoDB ClusterIn this episode, we introduce MySQL InnoDB Cluster — a complete, integrated solution for high av
🎙️ Welcome to the first episode of our MySQL Group Replication Podcast Series! Ep. 1. Introduction to Group ReplicationIn this episode, we introduce MySQL Group Replication (GR) — a native, powerful solution for creatin
In this video, we dive into data archival in MySQL — what it is, why it's important, and how you can archive old data without impacting performance or risking data loss.We'll cover: ✅ Why archiving is essential for perfo
Recently I got asked about choosing between #ProxySQL versions. Best way to go about it is review the features and compare them. I reviewed ProxySQL documentation and release notes to prepare a summary.Here is the quick
In this episode, we explore several key tools within the Percona Toolkit that every database administrator and developer should know. From zero-downtime schema modifications to performance optimization and replication ma
In this episode, we cover the essentials of MySQL replication lag: - What causes replica lag and how to detect it - Best practices to minimize lag - Remedies and troubleshooting tips Learn how to keep your replicas in sy
Tune in to get a deeper understanding of how binary and relay logs are critical to MySQL replication. Whether you're optimizing replication performance or troubleshooting replication issues, this episode will equip you w
Welcome to the MySQL Replication Basics podcast, where we take a deep dive into one of the most essential features of MySQL for achieving high availability and scalability in your database environments. Introduction to M
MySQL is one of the top used database system and with highly active community. Though without proper configuration you may not squeeze the most out of it. This will be a talk about the low hanging fruits to get the best
In this podcast, we’ll explore the issue of duplicate indexes in MySQL; including redundant index, foreign keys, left-prefixed secondary index /w primary key, and how to tackle the issue at hand. Reference: https://kedar
In the world of database management, efficiency is key. MySQL’s change buffer is a powerful feature that helps optimize how secondary index changes are managed. The idea of introducing a change buffer is an amazing solut
Sponsor detection runs nightly. Check back soon.
No public pitch examples yet for this show.
Generate your own personalised pitchBased on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.
Deep Dive MySQL has a verified contact on file. Create a free PitchCentric account to access it and generate a personalised pitch in seconds. Research at least 3 recent episodes first and lead with a specific angle that serves their technology audience.
Deep Dive MySQL is hosted by Kedar Vaijanapurkar. The show is categorised under technology and has published 16 episodes.
Deep Dive MySQL has published 16 episodes.
Deep Dive MySQL regularly covers technology. It sits in the technology category.
Deep Dive MySQL is accessible for guests with genuine technology expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
Deep Dive MySQL hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of Deep Dive MySQL average 16 minutes. a focused format where a clear narrative arc and tight preparation matter most.
Our data rates Deep Dive MySQL's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 2 days ago.
