Don’t Let rsync Sink Your Data Movement Project
The article argues that using DIY tools like rsync or rclone for petabyte-scale, multi-cloud data movement introduces significant risks regarding scalability, failure recovery, and…
Latest SRE & DevOps Articles
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Microsoft identity recovery in the age of AI-powered ransomware
As AI-driven ransomware attacks become more automated and difficult to prevent, identity systems like Active Directory and Microsoft Entra ID have become primary targets for attack…
Agentic SOCs: The public sector’s new AI cybersecurity defense
To counter the rapid rise of AI-driven cyberattacks, public sector organizations are adopting "agentic SOCs" that use autonomous agents to automate threat detection and response wh…
Give your AI agents live Datadog access from the command line
Pup CLI is a single-binary tool that provides AI agents and automation pipelines with secure, OAuth-scoped access to over 33 Datadog product domains. It optimizes agent workflows t…
Cisco agentic AI security push faces enterprise trust gap
Cisco executives have warned that the rise of "agentic AI" models, such as Anthropic's Claude Mythos, will enable attackers to identify network vulnerabilities at unprecedented spe…
Escaping the Diderot effect: How to avoid tech-driven spending
The article examines how modern technology exploits the "Diderot Effect"—a cycle where one purchase triggers a cascade of further spending—through tools like subscriptions, persona…
Escaping the Diderot effect: How to avoid tech-driven spending
The article examines how modern technology exploits the "Diderot effect"—a phenomenon where one purchase triggers a spiral of additional spending—through tools like subscriptions, …
OpenSearch in the Agentic Era: What Carl Meadows announced at OpenSearchCon Europe 2026
At OpenSearchCon Europe 2026, Carl Meadows announced three key innovations—OpenSearch Launchpad, the Relevance Agent, and a unified Observability Stack—to position OpenSearch as a …
SOAP as the Control Plane for AI: Why Everything Runs—And Still Isn’t Under Control
While AI models may function correctly, many projects fail in production because they lack a centralized system to manage fragmented workflows and unpredictable dependencies. The a…
SOAP as the Control Plane for AI: Why Everything Runs—And Still Isn’t Under Control
AI projects often stall not because models fail, but because managing the complex, unpredictable dependencies of production environments is difficult. To solve this, organizations …
Why Data Gravity is Winning in the AI Era
This text serves as a resource hub detailing how technologies like AI, IoT, and edge intelligence drive industrial digital transformation and operational optimization. It highlight…
Self-healing IT systems: Benefits, challenges and use cases
Self-healing IT systems leverage AI, automation, and real-time observability to proactively detect and resolve technical issues, providing a more adaptive and predictive evolution …