Dynatrace observability is now a Kiro power
The Kiro power for Dynatrace integrates live observability data, root cause analysis, and remediation suggestions directly into the Kiro AI-powered IDE. This integration allows dev…
Latest SRE & DevOps Articles
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Top tips: Escaping the AI copy-paste culture
The article warns against an "AI copy-paste culture" where the convenience of instant answers risks replacing critical thinking and original insight with mere automation. To preven…
From reactive to proactive: How NAIC embedded AI‑powered observability directly into the IDE
By integrating Dynatrace observability data directly into AWS’s Kiro AI-powered IDE, NAIC has eliminated the productivity loss caused by context switching between development and m…
Backup retention policy best practices: A complete guide for enterprises
This article emphasizes that a structured backup retention policy is essential for balancing storage cost optimization with regulatory compliance and ransomware resilience. It outl…
Vectors vs. hallucinations: How OpenSearch keeps GenAI grounded
At OpenSearchCon Europe 2026, Laysa Uchoa argued that generative AI hallucinations are primarily a retrieval problem rather than an inherent limitation of Large Language Models. Sh…
Your Monitoring Stack Wasn’t Designed. It Was Procured.
The article argues that "2am war rooms" persist not due to inadequate technology, but because enterprise IT teams procure monitoring tools in silos to solve isolated departmental p…
Monitor Claude activity in Elastic Security
Elastic has launched a new integration that pulls Anthropic’s Claude Compliance API events directly into Elastic Security, allowing organizations to centralize the monitoring of si…
Tencent Cloud: When systems start reacting to themselves
Tencent Cloud's distributed systems maintain availability through self-adjusting mechanisms like traffic redistribution and retries, which can inadvertently create cascading intern…
Introducing LLM as a Judge: Scaling search relevance evaluation with AI
OpenSearch 3.5 introduces "LLM as a Judge," a new feature that leverages large language models to automatically and at scale evaluate search result relevance. This approach provide…
From Pit to Port: Why the Resources Sector Needs a Zero-Disruption Future
As digital complexity in the resources sector leads to frequent disruptions that undermine productivity and safety, organizations are moving toward a "zero-disruption" future. By l…
Evaluate LLM and agent quality in Dynatrace AI Observability with dt-evals
`dt-evals` is an open-source CLI tool designed to evaluate the quality and safety of LLMs and agents by analyzing real GenAI traces using a "LLM-as-a-judge" approach. By integratin…
The Limits of AI in Financial Advisory Transactions
This text serves as a comprehensive resource hub focused on industrial technologies such as Artificial Intelligence, IoT, and Big Data. It provides access to various research, case…