Operations | Monitoring | ITSM | DevOps | Cloud

In recent years, the move to SD-WAN technologies like VeloCloud has been both rapid and widespread. While the use of SD-WAN has yielded benefits, one EMA report revealed that only 38% of respondents said their SD-WAN deployments were fully successful.

The phrase “demo express” is no accident or exaggeration, because when it comes to IT process automation, it’s all aboard. Organizations across every vertical contend with a wide variety of IT challenges, such as: costly downtime, large ticket volumes, or a disjointed digital environment made up of many different apps and devices. The challenge is immense, and so too is the business success potential for teams that can harness process automation.

In recent years, many businesses have begun a process known as cloud repatriation. Cloud repatriation is when companies migrate their applications, data, and workloads from the public cloud to on-premises infrastructure. According to IDC, 70-80% of companies are repatriating at least some of their data each year.

As an observability leader, at Logz.io, we pride ourselves on continuous innovation. That’s why, last year, we released our AI agents to revolutionize observability by helping businesses, and their engineering and DevOps teams, automate data analysis and root cause analysis. The primary way in which engineering and DevOps teams interact with the agents is by asking performance, troubleshooting, and optimization-related questions.

You can no longer afford to ignore the silent profit killers lurking in your operations. From bloated IT budgets to unplanned downtime and inefficient incident management, these hidden costs can drain your revenue, eroding customer trust, and exposing your company to financial penalties. The solution? A radical shift toward lean and modern Network Operations Centers (NOCs), digital resilience, and a relentless pursuit of inefficiencies.

In bridging traditional enterprise environments with modern GPU resources, we're helping organizations build AI infrastructure that's truly ready for production workloads. Co-authored by Duncan Ng, Vice President Solutions Engineering, Vultr As enterprises move from AI experimentation to production deployment, most are realizing a fundamental truth: Successful AI adoption requires more than just access to GPU computing power.

Here at Honeycomb, we emphasize that organizations are sociotechnical systems. At a high level, that means that “wet-brained” people and the stuff they do is irreducible to “dry-brained” computations. That cashes out as the inability to ultimately remove or replace people in organizations with computers, in spite of what artificial general intelligence (AGI) ideologues would have you believe.

Cybersecurity in the Industrial Internet of Things (IIoT) is often overlooked despite powering critical infrastructure such as energy grids, telecom networks, factories, robotics, and aerospace, all of which are prime targets for cyberattacks and data breaches. A single breach can disrupt essential services or expose sensitive data. So, how do we stay ahead of bad actors and proactively defend these systems?

Cloud networking costs can escalate due to inefficient routing and limited visibility. Kentik’s cloud visibility and analytics solution helps engineers optimize transit, reduce costs, and improve performance by analyzing AWS Transit Gateways and exploring alternatives like direct peering, storage endpoints, and AWS CloudWAN.

With the new Pandora ITSM version 105, you now have features designed to improve your workflow and optimize ticket and project management.