Over the last decade, data collection has become a commodity. Consequently, there has been a tremendous deluge of data in every area of industry. This trend is captured by recent research, which points to growing volume of raw data and growth of market segments fueled by that data growth.
For decades, compute or server infrastructure has been the backbone of the IT world. Compute has gradually evolved from on-premise hardware to programmable compute in the form of software containers. Technology operators need to constantly monitor the performance of their Windows, Linux, and container infrastructure so that they can optimize their compute environments to match workload demands.
I think I have been reading way too many “doom and gloom” articles this year about IT. For many companies, the switch to a prolonged work-from-anywhere (WFA) model has exposed serious cracks within their IT infrastructure. To be honest though, the cards have been stacked against IT for some time and 2020 was just the tipping point. Employees often resist new work technologies and there’s mounting evidence to prove that IT tends to overestimate how well their services are received.
One of the defining features of snaps is their strong security. Snaps are designed to run isolated from the underlying system, with granular control and access to specific resources made possible through a mechanism of interfaces. Think of it as a virtual USB cable – an interface connects a plug with a slot. Security and privacy conscious users will certainly be interested in knowing more about their snaps – what they can do and which resources they need at runtime.
Maintaining legacy applications can be an affliction that saps up energy, time, and resources. Application modernization remains fashionable and involves refactoring, re-purposing, or consolidating legacy software to align it more closely with current business needs and add business value. Traditional methods for modernizing applications include rewriting existing application code to a more modern programming language to salvage parts of the application that might still have value.
We recently announced four new VMware Tanzu editions, each of which packages capabilities of the Tanzu portfolio into a solution that directly addresses a single, common customer challenge. Your effort to modernize applications is already complex. Tanzu editions simplify your access to the tools you’ll need to move forward. Before walking through each of the four new editions, it’s important to first call out the characteristics that are common to all of them.
Many of us hate our backup environments. That’s because backups kind of suck, even with a backup product as great as IBM Spectrum Protect. As I said in another post, it’s the thing that everyone needs, but no one cares about, and most definitely can make your life crappy. Ask any backup admin, and I know they’ll agree. Go ahead; I’ll wait. Yep, they said the same thing, didn’t they?
In this post, we learn how to use the reduce(), findColumn(), and findRecord() Flux functions to perform custom aggregations with InfluxDB. This TL;DR assumes that you have either registered for an InfluxDB Cloud account – registering for a free account is the easiest way to get started with InfluxDB – or installed InfluxDB 2.0 OSS. In order to easily demonstrate how these functions work, let’s use the array.from() function to build an ad hoc table to use in the query.
If you’re new to the Dashboards Beta app on Splunkbase and you’re trying to get started with building beautiful dashboards, this "Dashboards Beta" blog series is a great place to start. The Splunk Dashboards app (beta) brings a new dashboard framework, intended to combine the best of Simple XML and Glass Tables, and provide a friendlier experience for creating and editing dashboards.
