Operations | Monitoring | ITSM | DevOps | Cloud

In this DevOps 101 series, I introduce the concept of DevOps and talk about how you can include the database as a natural partner. In the previous post in the series, I discussed how automation introduces faster and more frequent deployments as a key benefit. We’re now going to take a deep dive into the value you can unlock through frequent deployments using database DevOps, along with how you get started doing them.

The best Redis® ever - version 7.0 - is now available on the Aiven platform.

Traditionally the Prometheus TSDB only accepts in-order samples that are less than one hour old, discarding everything else. Having this requirement has allowed Prometheus to be extremely efficient with how it stores samples. And in practice, it really hasn’t really been much of a limitation for users because of the pull-based model in Prometheus, which scrapes data at a regular cadence off of the targets being observed. Several use cases, however, need out-of-order support.

Aiven for Redis® Join us as we take a look at all of Redis's ins and outs.

Stateful, commonly monolithic, and absolutely fundamental to system design, the quality of your database administration and operation is a key determinant of your overall success. Databases are the cornerstone of modern architecture, requiring constant effort, investigation, and iteration to get the most out of a database. This makes it all the more terrifying when an outage occurs.

Over the past two to three years, I’ve seen customers make a move towards both MySQL and PostgreSQL. There is no software licensing with either of these database systems, which can benefit companies, and developers love the community support for them.

Database performance is critical to business revenue. Slow and non-responsive databases can result in hundreds of thousands or millions of dollars in lost revenue from poor customer experience and downtime. High expectations in performance require IT infrastructure to function at full speed. In 2006, an Amazon study found that every 100ms in added page load time cost them 1% in sales.

A data warehouse (DW) is a centralized repository of data integrated from multiple systems.. This data is often cleansed and standardized before being loaded. Designed to support analytical workloads, a data warehouse can help organizations better leverage both current data and historical data to improve decision-making through the analysis of business processes and outcomes.

Redis is an open-sourced, BSD 3 licensed, highly efficient in-memory data store that can be easily used as a distributed, in-memory key-value store, cache, or message broker. It is known for being extremely fast, reliable, and supporting a wide variety of data structures, making it a very versatile tool widely adopted across the industry. Redis was architectured with speed in mind and is designed in a way that it keeps all the data in memory.