It’s September. Summer in the northern hemisphere is coming to an end. Going outside of your home is still somewhat unusual. And the year has been chaotic with politics, the pandemic, and civil activism. Our emotions are running high—we should probably stop right there in describing 2020. However, as with many things, rarely will you find a full understanding on the surface of a situation.
Today we will talk about exporting data (such as hosts and services) from Icinga Web 2 into various formats.
This is the first in a two-part blog series deconstructing AIOps for ITOps leaders. If you gave me a dollar for every company that claims that they use “A.I.,” I’d be doing pretty well. But as a marketer, I can’t help but be a little skeptical about those claims. Let me explain.
Technology is evolving exponentially, and with it the size of the data that needs to be saved increases and the great need to access them quickly, easily and, above all, from anywhere. Every day that goes by, the use of cloud becomes even more essential for companies. For that reason, cloud computing services have started to emerge in order to meet these needs. Among them, Azure.
Stackify Retrace pricing is changing. We’re moving away from our old device-based billing to a modern usage-based billing. This means you’ll pick a plan based on the exact amount of projected logs and performance traces you collect and nothing more. You’re probably wondering why and what’s in it for me. Stackify has one core belief that has guided us since our inception and will never change.
Customer feedback software is gradually becoming a dominant factor when it comes to business growth. In 2016, Small Business Trends revealed that 89 percent of individuals who run businesses had confirmed that the majority of the successes they’ve had in their businesses came with the ability to effectively solve and satisfy their customer’s expectations.
Database security is essential to keep your business’s data and files security from others that do not need access. Whether you are a small business owner or are a database administrator for a medium or large company, you need to have a solid understanding of data security basics.
Machine learning — the practice of writing algorithms that improve automatically through experience — has become a buzzword nowadays that connotes to something otherworldly and on the bleeding edge of technology. I’m here to tell you while that may be true, getting started with machine learning doesn’t have to be hard!
Every software organization has long balanced the interlock between software developers and software quality assurance testers. While developers aim to build software to business requirements, it’s the QA team’s job to verify that they actually did.
Surprisingly, many organizations have yet to move beyond the traditional compliance-driven approach to cybersecurity. However, to address today’s risk of a cyber breach — which can lead to an organization’s data being compromised or a disruption to business operations — cybersecurity organizations need to focus on delivering the level of security required to protect corporate assets and align with the strategic goals and objectives of the business.
