Operations | Monitoring | ITSM | DevOps | Cloud

Cloud monitoring became more important as enterprises scaled distributed systems, multi-region deployments, and hybrid environments. Teams needed better cloud performance insights, clearer resource usage visibility, and stronger automation to prevent outages and control costs. This year, Site24x7 delivered a rich set of cloud monitoring updates across AWS, Azure, GCP, and OCI, helping teams stay ahead of issues and optimize their cloud footprint.

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.

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.

On the evening of December 12, 2025, Apple TV+ experienced a significant service disruption during prime streaming hours that left thousands of users unable to access content.

Note: This blog post was originally published for the Early Access of Size Analysis. if you're already familiar with Size Analysis in Sentry, go to the section titled What's new in the beta. If you're not familiar with Size Analysis, start at the section titled The curious case of man.jpg.

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.

Every year is a big year for Bitbucket, but in 2025, we delivered transformative changes that cap off years of work to make Bitbucket Cloud the secure, scalable, cloud-first standard for large engineering teams around the world. Today, 15M developers build on Bitbucket, including all of Atlassian’s 10,000-strong engineering organization, and Bitbucket Pipelines runs more than 1 billion build minutes per month.

Knowledge graphs and RAG (Retrieval-Augmented Generation) are complementary techniques for enhancing large language models with external knowledge, and each brings unique strengths for DevOps use cases. While they are often mentioned together, they are fundamentally different systems, and combining them delivers far better outcomes than relying on either approach alone.

Cloud migration is a multi-layer transformation involving infrastructure, CI/CD, governance, security, and cost management—not just application movement. Enterprises face unique migration challenges due to complex systems, parallel cloud operations, compliance requirements, and tool sprawl. Automation and standardization are critical to reducing risk, manual effort, and operational inconsistency during cloud-to-cloud migrations.