Many customers we have are hybrid – meaning they have both Azure and on-prem estate, and subsequently both SquaredUp for Azure and SquaredUp for SCOM deployments. In other cases, some customers are using multiple different deployments of a product, for example for multiple SCOM management groups or multiple Azure tenants.
HashiCorp Packer is a free and open source tool for creating golden images for multiple platforms from a single source configuration. Packer makes it easy to codify VM images for Microsoft Azure. In this blog post we’ll look at how to use HashiCorp Packer and Puppet Bolt to define our VM templates in code.
Typically, there are two technical executive leadership roles in most organizations: the Chief Information Officer (CIO) and the Chief Technical Officer (CTO). But there can be confusion between these two positions, a lot of questions when comparing the CIO vs CTO, and often they might actually fuse into a single position depending on the business strategy. Their positions might not be so clear to the people who work for them.
In this video, we are going to take a look at what memory bloat is, what causes it, and how you can use Scout to eliminate it from your applications. Memory related performance issues have the potential to bring your entire application down, and yet, most APMs completely ignore this fact and fail to provide any useful way of monitoring memory usage at all.
In my last post, Getting Started With Android Enterprise in Supply Chain – Series 1, we talked about a couple tools you need to understand before jumping into Android Enterprise. Now that we’ve got that sorted out, let’s talk about the features. Not all of the features, but the ones that are going to really matter in supply chain.
Honeycomb is an event-based observability tool. Rather than relying on the rigid pre-aggregated measures provided by metrics, Honeycomb instead favors using events because they provide a much greater degree of flexibility. But that doesn’t mean metrics don’t belong in Honeycomb. Our new whitepaper, Getting Started With Honeycomb Metrics, breaks down exactly how to do that.
Machine learning in the Elastic Stack provides you with an intuitive way to detect anomalies in vast data sets. But even the most sophisticated anomaly detection job might not reveal the root cause of anomalous behavior. After an anomaly is detected, you may need to dive into further analysis, review multiple corresponding metrics, and investigate how they relate to the anomalous spike.
With the introduction of the Package Activity API and accompanying CLI command, you can now quickly and easily check your entire repository for packages' activity status or even take a detailed approach and view packages individually (per day/per package). You can save on your storage costs by eliminating inactive packages and retaining only the packages you or your users derive value from storing and distributing via Cloudsmith.
