All Hands On
Where engineers around the world connect, learn, and collaborate on technology — Powered by Acceldata.
In any mature Hadoop environment, YARN (Yet Another Resource Negotiator) is the central resource manager responsible for scheduling and allocating CPU and memory across distributed
Documentation was one of the first areas targeted for AI automation, since it is structured, repeatable work with a well-defined output. However, a human
As an engineer, you would have probably used public clouds like AWS or GCP. They let you spin up a virtual machine in seconds, just
What Was the Problem We Wanted to Address Voice AI is usually described as an AI system that can speak and listen. That definition is
Have you ever encountered a recurring issue where your API client failed with the error java.util.zip.ZipException: Not in GZIP format, immediately after
Most AI copilots provide textual responses. At Acceldata, we wanted one that reads a pipeline run and redraws the graph in front of you, an
How a single document — and a disciplined agent workflow around it — changed the way our engineers ship code with AI Why Every New Developer Starts
Modern distributed systems — especially global data platforms — pose a class of connectivity challenges that traditional networking architectures simply weren’t designed to handle. This blog
Part 2 of 2: The technical architecture behind Agentic Data Management In Part 1, we explored why we built ADM and what capabilities it enables.
Have you hit a point where shipping fast feels easy—until increasing services, parallel releases, and dependencies start creating bottlenecks, visibility gaps, and higher failure
If you are on a release management or DevOps team, you already know the sinking feeling of a new CVE dropping. A CVE (Common Vulnerabilities
YARN clusters often appear fully utilized on paper, but in reality, a significant portion of their capacity remains unused. Applications tend to over-request resources
This episode explores the architectural challenges of Kubernetes release management and introduces Flow Controller, a system designed to bring identity, immutability, and observability to Kubernetes
This episode centers on how AI is reshaping enterprise data management, with a founder-level discussion between Ashwin Rajeeva (Co-Founder & CTO, Acceldata) and
How Flow Controller Brings Identity, Immutability, and Observability to Kubernetes Releases Authors: Keshav Nandlal Pritani , Sanjog Kumar Dash If you’ve operated Kubernetes at scale,
Part 1 of 2: The strategic shift to agentic AI for enterprise data management Author: RaghuMitra, VP - Engineering and Co-founder, Acceldata Why We Built
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