Operations | Monitoring | ITSM | DevOps | Cloud

The Observability Stack is Collapsing: Why Context-First Data is the Only Path to AI-Powered Root Cause Analysis

By Bill Balnave, VP of Customer Success at Mezmo The core promise of modern observability is simple: cut Mean Time To Resolution (MTTR). Yet, despite a boom in tooling and investment over the last four years, the data tells a sobering story: our industry is actually getting worse at finding and resolving issues. Dashboards, once our trusted guide, have become the starting point for a chaotic "dashboard hunt" that rarely leads to the definitive root cause.

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.

Building a Code Review system that uses prod data to predict bugs

This post takes a closer look at how Sentry’s AI Code Review actually works. As part of Seer, Sentry’s AI debugger, it uses Sentry context to accurately predict bugs. It runs automatically or on-demand, pointing out issues and suggesting fixes before you ship. We know AI tools can be noisy, so this system focuses on finding real bugs in your actual changes—not spamming you with false positives and unhelpful style tips.

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.

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.