Shadow IT and Discovery AI Blind Spots: What Legacy Tools Miss
The rapid adoption of cloud, AI, and SaaS technologies has created a significant "visibility gap" because legacy discovery tools cannot keep pace with modern, ephemeral assets. Thi…
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Ashnik Becomes India’s First F5 Authorized Consulting Partner
Ashnik has officially become India’s first authorized consulting partner for F5. This achievement marks a significant milestone for the company’s open-source business division.
Exploring Cloud Native projects in CNCF Sandbox. Part 6: 9 arrivals of Spring 2025
The recent addition of nine new projects to the CNCF Sandbox highlights an increasing focus on AI/ML and alternative workload management mechanisms. Notable featured projects inclu…
Service desk automation: Benefits, examples and strategies
Modern IT service desk automation utilizes technologies like AI, GenAI, and RPA to streamline routine tasks such as ticket routing, password resets, and employee onboarding/offboar…
The Next AI Bottleneck is not the Model. It is Real-Time Application Traffic.
This text serves as a resource hub for industrial digital transformation, highlighting the integration of technologies such as AI, IoT, and edge intelligence to optimize operations…
AI doesn’t have a data problem. It has a navigation problem.
The article argues that enterprise AI success depends less on acquiring more data or larger models and more on implementing a "navigation layer" of business context to ensure data …
From user to contributor to maintainer: My journey with OpenSearch search relevance
This article chronicles an individual's journey from being a regular OpenSearch user at Cloudera to becoming a maintainer of the project's search relevance plugin. By starting with…
Real-time Analytics News for the Week Ending June 13
This text serves as a comprehensive resource hub focused on the integration of Industrial IoT, Artificial Intelligence, and Big Data to drive digital transformation. It highlights …
Why DIY Test Automation Succeeds Its Way into a Problem
This collection of industrial technology resources focuses on how AI, IoT, and big data drive digital transformation across various sectors like manufacturing, healthcare, and ener…
How Leading AI Teams Design Evals for Production Agents
As AI transitions from single models to autonomous "fleets" of agents, traditional testing proves insufficient because real-world user behavior is too unpredictable to be fully cov…
OTel-Arrow Phase 2: From Efficient Transport to Efficient Telemetry Pipelines
Phase 2 of the OTel-Arrow project explores using Apache Arrow as an internal data representation for telemetry pipelines to efficiently handle increasing data volumes. By implement…
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…