Operations | Monitoring | ITSM | DevOps | Cloud

Dashboards do their job best when they are a centralized space for the data you need. Not all data, but specifically those key performance indicators that drive the decision making at the top. Uptime.com created a customizable dashboard system that brings that level of personalization to you and your organization.

It’s that time of the year again when you sport your favorite costume, carve pumpkins, gear up for trick-or-treating, and reread Gothic stories. It’s almost Halloween! There is no denying that October is all about ghosts and ghouls, tricks and treats, witches and wizards, pirates and pumpkins. However, October is also National Cybersecurity Awareness Month (NCSAM), a time to remember that alongside our cogent fears lies another reality that’s much more ghastly—cyberattacks.

IDC predicts a ten-fold increase in data by 2025, which should surprise just about no one. We are all producing more and more data every day—more data than ever before, with no slowdown in sight. Recently we joined forces with our friends over at CHAOSSEARCH to deliver a webinar on the topic of Big Data Done Right—How to Spend Less While You Store & Analyze More. In this webcast, we discussed some best practices around big data storage, transfer, and access.

You probably don’t know who Claude Shannon is but you have much to thank him for. He was by all accounts a bona fide genius that dreamed up the underlying concept of digital computing back in 1948—decades before Wozniak, Jobs, and Gates sprung onto the scene.

After the unfortunate Commonwealth Bank of Australia outage last week, the powerful Payment Systems Board—whose members include the chairs of the RBA and APRA – announced it would make all outage data public to prevent banks, payment schemes, and telecommunications carriers from “hiding behind” the performance statistics shared by each institution.

Today, most IT teams find themselves facing a number of challenges presented by the new and increasingly complex infrastructure that accompanies digitization, including an exponential increase in data volumes and types. In fact, Gartner estimates that the data volumes generated by IT infrastructure and applications are increasing two- to three-fold every year (and that’s compounding growth). There’s clearly too much data for the humans on the IT team to sort through on their own.