Operations | Monitoring | ITSM | DevOps | Cloud

Odds are, you've heard about the dark web. Nevertheless, you may be unsure about its threat to your business and how to address it. The dark web is a set of anonymously hosted websites within the deep web accessible through anonymizing software, commonly "TOR" (The Onion Router). The anonymity these websites provide makes them the perfect online marketplace for illegal activities.

Organizations face myriad challenges in IT, from managing ever-growing backlogs to maintaining competitiveness. In the face of such challenges, ServiceNow App Engine emerges as a beacon of innovation for organizations of all kinds. By harnessing the power of low-code development, App Engine can streamline processes and accelerate solutions with less complexity, cost, and risk—all on one platform.

The availability and reliability of any IT service ultimately govern end-user experience and service performance, both of which have significant business impact. These two concepts — availability and reliability — are particularly relevant in the era of cloud computing, where software drives business operations, but that software is often managed and delivered as a service by third-party vendors.

It has been a little while since we shared our vision for Ubuntu Desktop, and explained how our current roadmap fits into our long term strategic thinking. Recently, we embarked on an internal exercise to consolidate and bring structure to our values and goals for how we plan to evolve the desktop experience over the next few years. This post is designed to share the output of those discussions and give insight into the direction we’re going.

Feature flags (also known as feature toggles or switches) are conditional statements in code that determine whether a feature or functionality is visible and accessible to users of an application or service. They offer programmers a powerful tool for managing feature releases. Their capabilities are indispensable in software development, where agility and continuous, automated delivery are paramount.

The macro economy can put a lot of pressure on organizations to reduce costs, typically with the central SRE and platform engineering teams coming under scrutiny. One common workaround we’ve seen countless teams make is compromising their observability by ingesting fewer metrics in the name of cost savings. But for centralized SRE/observability teams, the response to macro conditions should not be monitor less, but rather monitor smarter.

Here at Pepperdata, we’ve been on a number of sales calls lately where there’s a sense of incredulity on the other side of the video screen. How does Pepperdata extract as much as 50 percent in cost savings from some of the most sophisticated clusters in the world, the ones that had already been optimized for peak performance by the most dedicated and talented IT teams? It almost seems too good to be true. It’s not.