Operations | Monitoring | ITSM | DevOps | Cloud

Database software helps organize, manage, retrieve, and analyze data in databases. But what does that actually mean in practice? In this video, we explain what database software is using a simple library analogy, show how it helps add, edit, delete, and report on data. We also break down the main types of database tools used by developers, DBAs, analysts, and technical teams. You will also see examples of well-known database software, including SSMS, MySQL Workbench, pgAdmin, Oracle SQL Developer, JetBrains DataGrip, DBeaver, and dbForge Edge.

dbForge is an AI-powered multi-database ecosystem for SQL development, database design, data management, testing, administration, reporting, and automation. In this video, you will see how dbForge helps database developers, DBAs, and technical teams reduce tool switching and work across SQL Server, MySQL, MariaDB, PostgreSQL, Oracle, cloud databases, and on-premises environments from one connected ecosystem.

Managing different databases, tools, and environments can slow down your workflow… but dbForge brings everything together. Work with SQL Server, MySQL, MariaDB, PostgreSQL, Oracle, and cloud databases Use AI to generate, explain, fix, and optimize SQL queries Design, develop, test, manage, and automate databases Choose from dbForge Edge, dedicated Studios, standalone tools, and SSMS/Visual Studio add-ins.

Kristyna Ferris turned down grad school, learned Power BI, moved into the data world - and never looked back. In this chat with Steve Jones, Kristyna explains why she did it, what she’s learned, and even why her first DBA changed her password! Plus: being a Microsoft MVP, the importance of self-learning, being inspired to get involved with the community, and Kristyna’s passion for Lego, movies, and more!

Managing MongoDB database changes shouldn't require manually creating and maintaining changelogs. In this video, you'll learn how Harness Database DevOps automatically generates MongoDB changelogs, helping teams capture existing database changes and bring them into version control for reliable CI/CD workflows. As a modern **database schema migration tool**, Harness Database DevOps helps teams automate database change management across relational and NoSQL databases, reducing manual effort and deployment risk.

Your schema changed. Did your masking rules keep up? Here’s how Flyway and Test Data Manager can catch gaps and prevent PII exposure in dev and test. Tony and Tonie discuss how Flyway and Redgate Test Data Manager can work together in a CI pipeline to detect schema changes that introduce unmasked sensitive columns, helping teams keep production-derived test data protected as the database evolves.

Tempo 3.0 introduces a major architectural shift that decouples the read and write paths, with Kafka handling durability on the write side and a new live store serving recent traces on the read side. Blocks are now written at a replication factor of one instead of three, significantly reducing storage overhead. This release also brings TraceQL metrics to general availability, adds comparison operators for filtering metric results at query time, and introduces a new Tempo CLI redact command for removing sensitive trace data on demand without waiting for retention to expire.