Operations | Monitoring | ITSM | DevOps | Cloud

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.

Have you ever dealt with an application workload suddenly increasing and the demand on SQL Server begins to increase exponentially as a result? Maybe you’ve never had one of those “my solution to X problem just went viral, and everybody’s signing up” moments, but inevitably, at some point in your career, you’ll have to deal with a scalability limitation affecting performance and the business will look to you for a solution.

Open-source software (OSS) relational database management systems (RDBMSes) are becoming incredibly popular in the cloud computing world. In this article, I’ll discuss one of the most popular OSS relational databases, PostgreSQL, and the options you have for this database in the Microsoft Azure cloud. It’s worth noting these products are large with many detailed aspects, so consider this article a cursory, high-level overview of each offering.

Open-source software (OSS) relational database management systems (RDBMSes) are becoming incredibly popular in the cloud computing world. In this article, I’ll discuss one of the most popular OSS relational databases, PostgreSQL, and the options you have for this database in the Microsoft Azure cloud. It’s worth noting these products are large with many detailed aspects, so consider this article a cursory, high-level overview of each offering.

As I navigate further into my career, I’m finding the scope of my role has shifted over the years. I thought I’d take some time to help relay the differences I’ve seen between traditional database administrators (DBAs), database reliability engineers (DBREs), and site reliability engineers (SREs). Before I start, I want to get a disclaimer out of the way: some of the comparisons here reflect only what I’ve seen and may not match what you’ve experienced.

PostgreSQL extensions provide great functionality for users, but they are difficult to provide securely. Aiven has an open source solution to this problem!

One of my favorite consulting questions to ask when dealing with a scalability problem is, “If you could change the system design with the knowledge you have today, what would/wouldn’t you change and why?” Sometimes it’s best to ask this question on a one-on-one basis with different developers, DBAs, report writers, and architects to get honest answers that aren’t intimidated by the other people sitting in a meeting or to avoid potential debating and arguing over a solution.

Today’s blog post will give an insight into one of the many things that improved with Icinga DB: how host and service history is written to the database, both by the old IDO feature, as well as what has changed with Icinga DB and how this leads to more reliable results.

At the end of 2021, we published a blog post about the Autumn budget in the UK, what it meant for IT teams in the NHS, and why data management should be prioritised. We looked specifically at four key areas for sharing, monitoring, protecting, and accessing data that we believe are crucial elements of the digital transformation journey. Digital transformation is part of the NHS Long Term Plan, a wide-ranging programme to upgrade technology and digitally-enabled care across the NHS.