Deadlocks and blocks are two types of concurrency issues that can occur in an SQL Server environment. Understanding and addressing these issues is crucial for ensuring the performance and reliability of your SQL-based applications. First, let’s look at the concept of locks, blocks, and deadlocks.

A healthy relationship between services and databases is fundamental to overall application performance. Unchecked database issues can compromise application efficiency, user experience, and ultimately, your organization’s bottom line. To steer clear of these consequences, monitoring your databases should be a key component of your observability—and with the launch of Coralogix Database Monitoring, it can be.

Redis, which stands for remote dictionary server, is an open-source, in-memory data structure store that is commonly used as a database, cache, and message broker. Utilizing Redis provides numerous benefits for your team and organization, which have helped drive the tool's increase in popularity. A key example of this is speed, Redis works primarily in memory, making it particularly fast for data operations.

You’re probably familiar with the phrase, “software is eating the world.” In the last couple of decades, the importance and pervasiveness of technology in our society and our lives reached levels past generations would consider the realm of science-fiction. You probably have in your pocket, right now, a computer way more powerful than the one in Apollo 11.

With users today expecting speed, reliability, and responsiveness from every application they use, the delivery of seamless experiences across various platforms becomes essential for organizations. Caching solutions like Redis play a vital role in these ecosystems by storing frequently accessed data in memory, reducing the need to retrieve it from slower back-end systems, such as databases.

The 2024 State of the Database Landscape survey showed that 79% of businesses are now using two or more database platforms (vs 62% in 2020). Businesses revealed that this growth was largely due to the differing use cases across each platform, as well as the need to increase flexibility. Despite these recognized benefits, increasing the diversity of your database platforms can bring its own set of challenges, including skillset requirements, data integration complexities, security, and monitoring.

In the digital era, where data reigns supreme, the ability to extract meaningful insights from vast datasets has become indispensable. Though we have many data sources and data processing languages, SQL (Structured Query Language) stands as a cornerstone in this realm, empowering analysts, and data scientists to navigate through intricate databases with ease.

Before diving into how to ensure the reliability, availability, and optimal performance of your PostgreSQL database, it’s essential to understand the necessity of constant vigilance for its maintenance. This vigilance forms the backbone of a healthy PostgreSQL database. So, how exactly can you achieve this? The answer lies in comprehensive Postgres monitoring.

AWS’ Relational Database Service (RDS) is a pivotal component for businesses leveraging cloud technology for their database management needs. RDS simplifies a relational database’s setup, operation, and scaling, offering cost-efficiency while automating time-consuming administration tasks like hardware provisioning, database setup, patching, and backups. However, despite its benefits, navigating the cost structure of RDS to ensure efficient spending can be a complex task.