Operations | Monitoring | ITSM | DevOps | Cloud

Today, about 20-40% of developer time is spent on debugging and maintenance, which is why Oracle AI is redefining SQL optimization altogether. As AI-driven automation accelerates across the Oracle ecosystem, Oracle AI Database 26ai brings machine learning, generative AI, and real-time analytics directly into the SQL engine: reducing the need for manual tuning with built-in, AI-powered automation.

Modern applications rely on dozens of third-party services to function properly. When these services fail, your application fails too. DevOps teams need to identify and monitor the top SaaS vendors that could impact their infrastructure and user experience. This guide covers the essential SaaS vendors DevOps teams should monitor, organized by category and criticality. We'll explore why each vendor matters and what specific aspects require monitoring.

IT infrastructure as a technology has leapfrogged in 2025 and Site24x7 is no exception. CTOs, SREs, sysadmins, and other IT personnel wanted more from server monitoring and observability tools—and we stepped up. We listened to you, the industry leaders in your respective spaces, and re-envisioned our product platforms. The result?

Integrating Dynamics 365 with Visual Studio should be simple. Yet, developers and solution architects often run into challenges when trying to establish a direct, standards-compliant connection. From dealing with fragmented integrations to handling complex data security requirements, these obstacles slow down development, increase maintenance costs, and hinder the full strategic use of CRM data.

This post is based on Greg Qualls, Director of Product Marketing, presentation, "Accelerating QA and Testing," at SymfonyCon 2024. We utilized AI tools for transcription and to enhance the structure and clarity of the content. Before we dive in, I have over 18 years of experience in sales. If, at times, I sound like I'm trying to sell you something, please forgive me. I promise I'm not.

For IT leaders who need to move fast without breaking governance. If you’re running IT for a bank, a SaaS company, or a Higher education institution, you’re carrying a brutal balancing act on your shoulders. On one side, your developers are pushing for autonomy, velocity, and the freedom to ship. On the other hand, you’re on the hook for governance, compliance, security, cost controls, and now that AI has entered the chat, innovation at scale.

Aviation across the Asia-Pacific (APAC) and Middle East (MID) regions continues to rebound and modernise, bringing new pressures on airlines, airports and air navigation service providers (ANSPs). This increase in air traffic, more complex airspace and the need for safer, more efficient operations mean that seamless, secure information exchange across borders is essential.

Megaport acquires Extreme IX, adding seven Internet Exchanges and 40 data centers across India’s fastest-growing digital hubs to deliver broader connectivity options for customers.

These days, engineering leaders find themselves caught between a rock and a hard place. On paper, AI adoption looks like an unqualified success. Developers are shipping more code faster than ever, pull request volumes are up, and teams report feeling more productive. Their leaders rush to LinkedIn to share their plans to scale adoption because their teams are just so much more efficient. But then, the incidents and bug reports start piling up.