Operations | Monitoring | ITSM | DevOps | Cloud

Chris Yates is a Senior Vice President, Managing Director at Republic Bank, one of the most innovative and forward looking banks in the US. For the last five years and more, he and the bank have been working to introduce DevOps to their database development process. Along the way he has had the opportunity to be joined on his DevOps journey by several of his colleagues who have played an instrumental part in enabling cross collaboration among the development teams.

We now have ever-expanding digital identities to live our daily lives and, whether it’s crossing international borders or more innocuously buying basic products and services, our digital footprint is growing. With the increasing requirement to have a digital identity to do just about anything, our data is constantly being shared online. That said, the demands on FinTech companies to keep personally identifiable information (PII) safe are more pressing than ever.

Join any conversation about cybersecurity in Australia and the Essential Eight Maturity Model may well be mentioned.

Before you can answer this question, I like to step back and take a good look at the history of computing. Mainframes and legacy client-server applications were monolithic—all the processing took place on a single set of hardware. As hardware grew cheaper, and especially after widespread hardware virtualization came to fruition, these trends gave way to the widespread development of distributed systems. I began to see this trend during my time as an architect at a large cable and telecom provider.

Setting up an HTTP interface to a database can be a lot of work. Read on to see how PostgREST makes it quick and simple to provide RESTful access to PostgreSQL®.

In this tutorial you will learn how to use the Flux query language to enrich time series data stored in InfluxDB by combining it with metadata stored in a relational database.

One of the most fundamental concepts in any relational database management system (RDBMS), such as SQL Server, is the transaction. During my consulting career, I've seen many performance problems caused by developers not understanding how transactions work in SQL Server. In this tutorial, I'll explain what transactions are, why they're necessary, and how they work in SQL Server.

Some time ago, Aliaksandr Valialkin published a medium post about comparing VictoriaMetrics and Prometheus resource usage when scraping metrics from thousands of targets. He used node_exporter as a source for metrics to scrape, which is very close to most real-world scenarios. However, the benchmark itself was just a bunch of scripts and a lot of manual work for every test.

Check out the latest improvement to PostgreSQL replication to which our OSPO team contributed to help solve reliability problems.

I recently had a cloud migration client who was at the beginning stage of their discovery phase and looking to jump straight to “which database platforms should I be using in the cloud?” - a tall ask you might say, but following the three steps below they were able to discover and analyze all of their database servers in just two weeks.