Real-Time Anomaly Detection: Integrating Log Service With Agentic AI Pipelines
Learn how agentic AI and real-time anomaly detection create self-healing DevOps pipelines. This guide covers architectures, code examples, and metrics to cut MTTR by up to 90%.
Source: This article was originally published on DevOps.com
Read full article on source →Related Articles
WatchGuard Warns of Active Exploitation of Critical Fireware OS VPN Vulnerability
WatchGuard has released fixes to address a critical security flaw in Fireware OS that it said has been exploited in real-world attacks. Tracked as CVE-2025-14733 (CVSS score: 9.3), the vulnerability...
Nigeria Arrests RaccoonO365 Phishing Developer Linked to Microsoft 365 Attacks
Authorities in Nigeria have announced the arrest of three "high-profile internet fraud suspects" who are alleged to have been involved in phishing attacks targeting major corporations, including the...
New critical WatchGuard Firebox firewall flaw exploited in attacks
WatchGuard has warned customers to patch a critical, actively exploited remote code execution (RCE) vulnerability in its Firebox firewalls. [...]
Harnessing ChatOps to Solve Enterprise-Wide Communication Challenges
ChatOps helps DevOps teams streamline communication by executing workflows directly in chat. Learn the benefits, use cases, and best practices for enterprise ChatOps adoption.
FTC: Instacart to refund $60M over deceptive subscription tactics
Grocery delivery service Instacart will refund $60 million to settle FTC claims that it misled customers with false advertising and unlawfully enrolled them in paid subscriptions. [...]
Feeding the Beast: Why Giving Your Code to AI Agents Might Be Your Biggest Mistake Yet
Your codebase isn’t food, but AI agents are more than happy to devour it. Teams keep handing over entire repositories because automation feels like a cheat code for productivity. The problem shows...