Operations | Monitoring | ITSM | DevOps | Cloud

If you want to align green awareness with bottom-line impact, start by looking at your cloud waste. Not just as a budget problem, but also as wasted energy, because that’s exactly what it is. AI, especially, is a mounting factor. Deloitte’s Tech Trends 2025 report highlights the growing energy demands of large AI models, warning that electricity use in data centers could soon rival that of entire nations like Sweden or Germany.

After years of overhyped pilots and half-baked “AI” assistants, IT leaders are increasingly skeptical of chatbot vendors pitching the same old logic trees that are disguised by prettier interfaces. These leaders don’t want another script engine in Slack; they want fewer tickets, faster resolution, and better employee experiences. That’s where RITA comes in. RITA isn’t just a chatbot alternative.

Although container-related technology existed before 2013, Docker revolutionized and propelled it into the mainstream. Using Docker, developers could automatically create containers from application source code, share libraries, and reuse containers. Docker enables you to track container image versions, roll back to an earlier iteration, and track who built a specific one. You can even upload only the deltas between two versions.

OAuth 2.0 is the leading open authorization framework that enables secure delegated access to protected resources. From traditional web apps and browser-based apps to native apps and desktop applications, OAuth allows client apps to grant access on a user’s behalf without exposing login credentials, enabling powerful third-party applications, custom data flows, and powerful user experiences. However, while OAuth is secure, it’s not always fast.

Every major RDBMS insists it’s SQL-compliant, but under the hood, proprietary quirks break portability and slow down development. That’s where ANSI SQL steps in—not just as a standard, but as a survival strategy for teams juggling multiple platforms. By adopting ANSI SQL, you’re not just writing cleaner, more portable code—you’re unlocking freedom.

For the last decade, Gremlin has helped Fortune 500 organizations with critical uptime requirements proactively uncover reliability risks and prevent costly outages. We started with Chaos Engineering, then built Reliability Management to help teams standardize and scale their testing efforts. Today, we take another leap forward with the release of Reliability Intelligence. Reliability Intelligence draws on Gremlin expertise with each test to show you what happened and recommend remediation.

Rural America is experiencing a dramatic surge in network demand driven by high-bandwidth applications like 4K video streaming, real-time sports content, and AI workloads. As broadband competition and digital transformation accelerate, service providers must rethink middle-mile network architecture to be scalable, technology-agnostic, and service-aware.