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Databases

The latest News and Information on Databases and related technologies.

A Deep Dive into Multi-Model Databases: Hype vs. Reality

In 2009, as the world became increasingly data-driven, organizations began to accumulate vast amounts of data — a period that would later be characterized as the Big Data revolution. While most organizations were used to handling well-structured data in relational databases, this new data was appearing more and more frequently in semi-structured and unstructured data formats.
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3 Reasons Why You Need an Embedded, Modern Database

Today's applications demand efficient data handling to provide users with seamless experiences. One solution that has gained prominence is the use of embedded databases, which are integrated within applications rather than relying on external servers. Different from a database for embedded systems, databases embedded within applications offer several advantages for storing data and analyzing it, especially in scenarios where performance, deployment simplicity, and data security are important. Embedded databases, or an embedded database management system (DBMS), can serve a variety of use cases, but are especially valuable for applications that need to provide analytics capabilities.

RocksDB - Getting Started Guide

There are several reasons for creating a highly efficient and performant database in the current web era. RocksDB is an embedded key-value store designed for efficient data storage and retrieval. It is an open-source database engine developed by Facebook, which builds upon the strengths of LevelDB while incorporating several enhancements for durability, scalability, and performance.

Monitor MongoDB With Telegraf

Monitoring your instance of MongoDB is important for maintaining optimal database performance, ensuring security, detecting and addressing issues promptly, and planning for future growth and scalability. Database and infrastructure monitoring allows for the early detection of potential problems such as server overload, disk space shortages, or network issues.

Going Beyond Fixes: DBAs Become Business Leaders

Picture this: you step into your dream DBA job, and everything's running like a well-oiled machine. Your monitoring tools show you any hiccups before they become full-blown issues. you've got room to team up with your business counterparts on interesting projects important to the business and place your team in front of leadership. You’re focused on automation and cloud migration and learning Microsoft Fabric so the business can access the data they need directly. Sounds awesome, right?

Monitor MySQL Performance Using Telegraf

Monitoring the performance of your MySQL database will help identify performance bottlenecks, inefficient queries, and resource-intensive processes. By tracking metrics like query execution times, server load, and resource usage, administrators can optimize configurations and fine-tune the database for better efficiency and speed. Additionally, monitoring any running process allows for the early detection of potential problems such as server overload, disk space shortages, or network issues.

Database Observability Provides the Features Customers Need for Effective Monitoring

I began working with database customers back in the day with VividCortex until it was purchased by SolarWinds. Since then, I’ve had the opportunity to work with tons of our database solution customers as an account manager and now lead our DPM renewals initiative. In these roles, I’ve helped our customers transition from VividCortex to Database Performance Monitor (DPM) and now migrate into Database Observability.

Aiven workshop: Data Persistence 101: Spring Boot and MySQL Edition

✨What's Cooking in Our Workshop✨ Persisting data is a crucial part of any application that you build. It’s not always easy to map your business objects with your relational database. One of the tools that can help you with this is called Hibernate ORM (for Object Relational Mapping). Join us in this workshop where we will learn the basics of Hibernate combined with the most popular Java App framework : Spring Boot and MySQL as a database.

Performance optimization techniques in time series databases: sync.Pool for CPU-bound operations

Internally, VictoriaMetrics makes heavy use of sync.Pool, a data structure built into Go’s standard library. sync.Pool is intended to store temporary, fungible objects for reuse to relieve pressure on the garbage collector. If you are familiar with free lists, you can think of sync.Pool as a data structure that allows you to implement them in a thread-safe way.