Operations | Monitoring | ITSM | DevOps | Cloud

Rovo Dev Auto Closing Vulnerabilities | Bitbucket Blitz | Atlassian

Learn how Atlassian uses Rovo Dev to automatically find and fix code vulnerabilities with Rovo Dev and Bitbucket. This capability saves our developers thousands of hours over three months and reduces issue resolution time by half, allowing them to focus on building software and solving problems for our customers. This technology is available to all of our customers. Learn how it works, and start using it yourself.

Elastic at AWS re:Invent: Concluding a year of partnership in agentic AI innovation

Highlights of another laudable year of customer-centric collaboration The integration of Elastic’s capabilities, including vector databases and context engineering, with AWS services helps customers build intelligent, scalable, and secure applications faster and with greater flexibility. Our ongoing collaboration has resulted in another year of notable innovation with AWS. This blog highlights our continued collaboration with AWS throughout 2025 to help you capitalize on the power of AI.

The Evolution of Blockchain-Based Trading Infrastructures

Trading in financial markets has always been complex. Many traders face long transaction times, high fees, and reliance on middlemen. These problems slow down processes and make trading less efficient. Enter blockchain technology. Since Bitcoin's debut in 2009, blockchain has changed how trades occur. It provides quicker transactions, reduced costs, and direct peer-to-peer exchanges. This blog will examine its progress from basic systems to advanced solutions like decentralized finance (DeFi). Keep reading to learn how it's making a difference for traders everywhere!

Top 7 India-Focused AI Programs to Build Business-Ready Skills in 2025

Artificial Intelligence is reshaping Indian businesses through automation, more intelligent decisions, and new products. Leaders who learn to plan and deploy AI see faster cycles and clearer outcomes. In 2025, strong programs balance applied projects with sound fundamentals. The list below prioritizes hands-on work, industry alignment, and clear outcomes for working professionals.

A framework for measuring effective AI adoption in engineering

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.

Knowledge Graph + RAG: A Unified Approach to DevOps Intelligence

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.

Gisual Enters the Stack: Power, AI, and the Next Phase of Observability

ScienceLogic recently partnered with Gisual—a leader in AI power intelligence­—to bring real-time power insight directly into the ScienceLogic AI Platform. On the surface, that might sound like a straightforward integration story. In reality, it signals something much bigger: observability continues to expand well beyond the digital stack, and operators now treat power as a first-class operational signal.