Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

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.

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.

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, 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.

In today’s fast-paced software landscape, downtime is costly, debugging is time-consuming, and developers are constantly under pressure to resolve issues quickly. Observability tools have traditionally been built for operations and SRE teams, focusing on post-mortem analysis rather than proactive debugging. When developers gain real-time insights into live applications and fix issues without disrupting the software lifecycle it has been proven to be a game changer for a myriad of reasons.

Looking for a straightforward way to collect NGINX metrics with OpenTelemetry and send them to your Graphite-based monitoring setup? Unlike Prometheus, which requires configuring scrape jobs and query language nuances, Carbon/Graphite offers a simpler setup with minimal overhead—just send metrics as plain text and query them easily with familiar tools like Grafana. Whether you're setting up dashboards, alerts, or just keeping an eye on traffic, this guide will get you actionable insights in no time!

Across regions, the regulatory landscape is shifting dramatically: These regulations signal a new era where energy waste is no longer just an economic concern but a compliance risk. Failure to adhere can result in hefty penalties, restricted operations, and reputational damage.

As we kick off the new year, we’re excited to introduce the latest updates to Calico, designed to create a single, unified platform for all your Kubernetes networking, security, and observability needs. These new features help organizations reduce tool sprawl, streamline operations, and lower costs, making it more convenient and efficient to manage Kubernetes environments.