We all know that testing new ideas on physical IT infrastructure requires a massive upfront cost. That's why businesses adopt cloud infrastructure setups. These setups offer on-demand resources, which allow you to start new projects and pay for only what you use. This eliminates the need for expensive hardware and maintenance, enabling flexibility that organizations require.

When you have a piece of data tucked into your logs or span tags, how do you dig for that bounty of insight today? Commonly this sort of data will be numeric, like a purchase total or number of units. Wouldn’t it be nice to easily turn that data into a metric timeseries? The Sum Connector in OpenTelemetry does just that, allowing you to create sums from attributes attached to logs, spans, span events, and even data points!

To confirm cyberattack occurrences and build or enhance cyber-defense strategies, threat intelligence teams use a lot of information, including Indicators of Compromise (IoCs). These IoCs are actually forensic data that are critical in: The relevance of IoCs cannot be downplayed, but they're not all that’s needed in building an effective cybersecurity strategy. In this article, we’ll explore indicators of compromise, their types, and their relevance to threat intelligence teams.

The data center industry continues to evolve every year, and 2025 will be no different. 2024 saw lots of movement towards AI, sustainability, and cloud repatriation to name a few key trends. With 2025 just around the corner, take a look at the rising trends that will shape data center management next year. If you haven’t created an action plan yet for these emerging trends, now is the time to consider them in your 2025 strategy.

We are thrilled to announce that Cycle was named a Cool Vendor in the 2024 Gartner Cool Vendors in Container Management research. For Gartner clients, you can find the full research here. “When we started Cycle a decade ago, we knew it would be a constant battle in the war of functionality versus simplicity. While it's a challenge to build a platform that has all the features organizations want, it's even more difficult to accomplish that functionality without introducing extra complexity.

Artificial intelligence (AI) has been a part of technological innovation since the 1950s, but recent advances in large language models (LLMs) have accelerated its impact. These advancements have sparked widespread excitement, but many are missing the real disruption on the horizon: user experience (UX). As a company deeply rooted in UX innovation, we at InvGate are closely examining how this evolution will unfold.

What makes a truly exceptional Customer Experience and emotional intelligence strategy? Is it cutting-edge technology? Streamlined processes? Or something much deeper, like a sense of connection? In episode 92 of the Ticket Volume - IT Podcast, host Matt Beran sat down with Michael Mattson and Luke Jamieson—two leaders in the Customer Experience (CX) space—to explore the evolving world of CX and Employee Experience (EX).

InvGate has been recognized in Gartner's Market Guide for Hardware Asset Management Tools as a representative vendor, with InvGate Asset Management highlighted as our standout solution. This recognition reflects our commitment to helping organizations simplify Hardware Asset Management (HAM), optimize costs, and mitigate risks through innovative technology. So, why did Gartner include us?

Over the past year, I’ve noticed some interesting trends in my work with state and local governments. Across my conversations with organizations in this space, there’s a common thread: teams are getting creative about maximizing their limited resources. With budgets either flat or shrinking and operational demands increasing, these teams face tough choices. They’re being asked to maintain or improve services while working with the same, or in some cases, fewer resources than before.

Ever wondered how many NetFlow exporters or edge routers you have configured on your core switches? What if I told you that every exporter uses ~0.2% bandwidth in overhead? While that may not seem like much (and it has been a few years since most network engineers were worried about CPU overhead for NetFlow exports), older hardware and network OS versions may be more sensitive to having multiple flow exporters configured.