Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

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.

We shipped some big updates this week!

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.