Operations | Monitoring | ITSM | DevOps | Cloud

For the last five years and more, there’s been an elephant in the room when it comes to the way businesses and organizations collect, manage, store and analyze data: PostgreSQL. An open source relational database that offers the kind of enterprise advantages that have already attracted businesses like Netflix, Instagram and Spotify according to the tech stack intelligence platform, StackShare.

In today's world, where businesses are heavily reliant on technology, databases have become a crucial component of business operations. Databases are the backbone of any organization, containing vast amounts of data that is essential for smooth functioning. However, with the amount of data that databases store, it is not uncommon for them to encounter issues that could lead to downtime and data loss.

Redis is a powerful in-memory data store thats blazing fast. It's performant, scalable, supports a wide range of data structures, has built in caching mechanisms, and is simple to set up for Cycle users. This post will take you from deploying your first Redis instance on Cycle, through deploying highly available, stateful Redis instances that are monitored by Redis Sentinel. The companion repo for this article with configuration files and settings can be found here.

When we introduced Grafana Mimir into the open source ecosystem, we weren’t shy about our ambitions. Once we got past answering some of the easier questions (For the record, the name Mimir comes from Norse mythology, and it’s pronounced /mɪ’mir/.), we quickly got to work making good on our promise to deliver the most scalable, most performant open source time series database (TSDB) in the world.

This article was originally published in InfoWorld and is reposted here with permission. The compactor handles critical post-ingestion and pre-query workloads in the background on a separate server, enabling low latency for data ingestion and high performance for queries. The demand for high volumes of data has increased the need for databases that can handle both data ingestion and querying with the lowest possible latency (aka high performance).

In this post, we will show you how to set up Redis monitoring with SigNoz - an open-source full-stack APM. SigNoz captures data using OpenTelemetry, which is becoming the world standard for instrumenting cloud-native applications. Apart from capturing metrics from your Redis server, you can also capture logs and traces with OpenTelemetry.

SQL Server AlwaysOn availability groups provide database clusters that streamline automatic failovers and disaster recovery. With AlwaysOn clusters, you can leverage reliable, high-availability support for your services. However, AlwaysOn groups can be problematically complex, spread over servers and regions with multiple points of failure in each cluster. This makes it difficult to understand what’s happening in your groups at any given time and troubleshoot when issues occur.

SQL databases have several functions that reduce the complexity of working with date and time. Using these functions and a date and time type column, you can depend on SQL for the logic to write and read data with date and time. In this post, you’ll learn how to use the SQL date and time functions to get the current date and time.

In this series of blog posts, we speak with database professionals from Financial Services organizations around the world to better understand how DevOps is shaping the sector. On the way, we dig into key current factors including the rise of technology upstarts in fintech and insurtech, the speed of digital transformation and the ever-increasing threat of cyberattacks. First up, we speak with Hamish Watson, DevOps Alchemist and Managing Director at Morph IT Consulting.