Operations | Monitoring | ITSM | DevOps | Cloud

An email recently came to our team (the Redgate Advocates) asking us what we thought the key challenges for data professionals might be in 2022. Kathi Kellenberger, Steve Jones and I each answered independently. We all bring different experiences and thoughts to the table, yet we all came up with three common themes. Here is what we all feel is likely to be of the most importance this year.

According to the U.S. Bureau of Labor Statistics, employers are losing more than four million workers every single month. That, coupled with the record number of 11 million open jobs, has left businesses across the board scrambling to crack the code and find a way to not only attract top talent – but, more importantly – keep them from jumping ship at the next best opportunity.

Here at LogicMonitor, we’re really big on extensibility and automation. We’re constantly adding to our catalog of monitoring coverage and ensuring that setup is as simple as possible. We also monitor almost any data you can expose on a network. People have done way more with LogicMonitor than we would have ever imagined, and I’m extremely excited to announce our next step in that commitment to extensibility and automation.

Ask any software engineer about the best way to do something and they’ll likely tell you “it depends.” Every project and team works differently and has specific concerns, requirements, and opinions, adding complexity on top of the technical and operational complexity of software development. The challenge lies in managing the work and emergent complexity while staying abreast of industry best practices in a way that fits our teams’ particular processes and environments.

Continuous integration (CI) and continuous delivery or deployment (CD) cover the process of automatically merging, building, and testing code changes ready for release, and – in the case of continuous deployment – releasing those changes to users. If you’re developing software for others to use, you’ll need to go through some form of build and test process before you make your latest changes available.

Over the last several years, systems architects have had to make sure their systems are cloud native, with applications that are optimized for scalable cloud technology infrastructure. In today’s environment, you should be asking whether your solutions are cloud nimble as well. For the modern enterprise, cloud computing is now the default model for applications, storage, and compute.

Recently, I remembered a situation when I was in elementary school and visited a friend at his house. At some point, his mother wanted us to go to a neighbour and ask to borrow some eggs. We went a few houses down, opened the garden gate, entered through the door to the house, and arrived in the kitchen calling out for the person. But no one was at home, so we left and returned without eggs.

Amazon EventBridge is an AWS serverless event bus service making it easier to build event-driven applications. It uses events generated from your applications, integrated Software-as-a-Service (SaaS) applications, and other AWS services. It delivers a stream of real-time data from event sources to target services like AWS Lambda. You can also set up routing rules to determine the destination where you wish to send the data and build decoupled application architectures.