Operations | Monitoring | ITSM | DevOps | Cloud

MySQL is the most used database in the world. And as it continues to grow in popularity as an open-source database system for developers, understanding how these indexes work is an important step for database developers and administrators. This tutorial is going to explore clustered indexes and secondary indexes in MySQL. MySQL also has other types of indexes besides the B-tree indexes I’ll be discussing, such as fulltext indexes and hash indexes.

Data collected by you is a valuable asset, however, mere collection or accumulation of data may not be enough to result in a positive and noticeable change within your firm. According to Forbes, besides collecting data it is critical to make intelligent and appropriate use of data. Data is not supposed to be a visible asset. As such data collection may not be up to the mark, particularly while manually handling the process.

A reliable database system is necessary in the IT operations of an organization to ensure unhindered delivery of information. This is especially true when it comes to business-critical applications, as disruptions in a database system directly impact the end-user experience, ultimately harming your revenue and reputation. Learn about the difficulties inherent to database systems and how monitoring helps resolve these problems.

Redis is designed to be fast. In most cases, it is. However, there are times when Redis may be slow, due to network issues, disk latency, or other factors. When this happens, it is important to be able to detect the slow down and investigate the cause. Latency is the maximum delay between the time a client issues a command and the time the reply to the command is received by the client. Redis has strict requirements on average and worst case latency.

I find it amazing how much opportunity and flexibility cloud environments are creating for organizations of all sizes. I’m seeing more and more companies experimenting with open-source software (OSS) relational database systems, which years ago would’ve been too complicated for the customer to set up. With Azure, you can spin up OSS systems like MySQL or PostgreSQL quickly to determine if the engine fits their needs. If it does, you can continue development on it.

Redis is an open-sourced, BSD 3 licensed, highly efficient in-memory data store. It is used widely in the industry because of its incredible performance and ease of use. It can easily be used as a distributed, in-memory key-value store, cache, or message broker. It can hold virtually any data structure, making it highly versatile. Redis was architectured and developed with speed in mind and designed to keep all the data in memory.