Monitoring your databases is essential for maintaining performance, reliability, security, and compliance of your infrastructure. It allows you to stay ahead of potential issues, optimize resource utilization, and ensure a smooth and efficient operation of your database system. Effective monitoring of Riak involves collecting, analyzing, and acting on a variety of metrics and logs.

Databases are the backbone of enterprise-level organizations, facilitating efficient data management, supporting critical business processes, and providing a foundation for secure innovation and growth. Effective database monitoring is critical for maintaining a high level of performance, security, and reliability in database systems, particularly in enterprise-level environments where large volumes of data and critical business operations are involved.

In February 2001, 17 people met at the Snowbird ski resort in Utah. They were the leading exponents of Extreme Programming, Scrum, and Adaptive Software Development, and they were seeking a set of compatible values based on trust, respect and collaboration. They wanted to make software development easier. And they found it in the form of a manifesto. Their only concern was that the term describing the manifesto came from a ‘Brit’ and they weren’t sure how to pronounce it.

In an era marked by the convergence of Big Data, hybrid cloud use, and the rise of machine learning and artificial intelligence, organisations across the Asia-Pacific (APAC) region find themselves at a critical juncture. The ability to collect, manage, and leverage data effectively is now a determining factor for competitive advantage – and will become more competitive.

I have always had a special fondness for Postgres, particularly captivated by its JSONB capabilities, which is at the core of what I love as it stands as a testament to its adaptability. This functionality exemplifies Postgres’s ability to adapt to modern apps’ rapidly changing needs to support structured and unstructured data to coexist seamlessly within the same database environment. The capabilities of PostgreSQL are not limited to its ability to manage relational and non-relational data.

In the fast-paced world of software engineering, efficient data management is a cornerstone of success. Imagine you’re working with streams of data that not only require rapid analysis but also need to store that data for long-term insights. This is where the powerful duo of time series databases (TSDBs) and data lakes can help.

Until recently, the default model for application development was SQL. However, in recent years NoSQL has become a popular alternative. The wide variety of data that is stored today and the workload that servers must support force developers to consider other more flexible and scalable options. NoSQL databases provide agile development and ease of adapting to changes. Even so, they cannot be considered as a replacement for SQL nor are they the most successful choice for all types of projects.

Effective memory management is crucial for optimal MongoDB performance and helps ensure seamless database operations and user experience. Allocating enough memory lets the database store frequently used data and indexes in RAM and cut down on disk I/O operations. This boosts query response times and system responsiveness. Poor memory management can cause delays in retrieving data from disk, leading to performance degradation.

MongoDB’s flexibility and document-oriented nature have always stood out to me as its most compelling features, setting it apart from the strict schema constraints of traditional relational databases. This adaptability is a boon for application development, allowing for more dynamic data interactions that mirror real-world information complexities and freeing table schemas’ constraints.

Monitoring can get expensive due to the huge quantities of data that need to be processed. In this blog post, you’ll learn the best ways to store and process monitoring metrics to reduce your costs, and how VictoriaMetrics can help. This blog post will only cover open-source solutions. VictoriaMetrics is proudly open source. You’ll get the most out of this blog post if you are familiar with Prometheus, Thanos, Mimir or VictoriaMetrics.