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How and Why Netflix Built a Real-Time Distributed Graph -  Ingesting and Processing Data Streams at Internet Scale

Netflix built a Real-Time Distributed Graph (RDG) to connect member interactions across different devices instantly. Using Apache Flink and Kafka, they process up to1 millionmessages per second for node and edge updates. Scaling Flink jobs individually reduced operational headaches and allowed for s.. read more  

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What is autonomous validation? The future of CI/CD in the AI era

CircleCI droppedautonomous validation, a smarter CI/CD that thinks on its feet. It scans your code, predicts breakage, runs only the tests that matter - and fixes the easy stuff on its own. If things get messy, it hands off full context so you’re not digging through logs. Bonus: it keeps learning fr.. read more  

What is autonomous validation? The future of CI/CD in the AI era
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Jump Starting Quantum Computing on Azure

Microsoft just pulled off full-stack quantum teleportation withAzure Quantum, wiring up Qiskit and Quantinuum’s simulator in the process. Entanglement? Check. Hadamard and CNOT gates set the stage. Classical control logic wrangles the flow. Validation lands cleanly on the backend... read more  

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@kala shared an update, 6 months, 1 week ago
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FSF Talks GPL Compliance and AI Code at GNU Cauldron

#LLMs  #Complia...  #FSF  #AI  #GPL 

The FSF's Licensing and Compliance Lab engaged with GNU toolchain maintainers at GNU Cauldron to discuss GPL compliance, AI-generated code, and attribution in containerized environments.

FSF Talks GPL Compliance and AI Code at GNU Cauldron
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@varbear shared an update, 6 months, 1 week ago
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Arkade’s New Off-Chain Protocol Promises Smoother Bitcoin Transactions

Arkade introduces a new protocol to enhance Bitcoin's global financial capabilities by enabling offchain payments and transaction batching, inviting developers to explore its public beta.

Arkade’s New Off-Chain Protocol Promises Smoother Bitcoin Transactions
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@kala shared an update, 6 months, 1 week ago
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Anthropic Scales Up Google Cloud TPUs to Power Next-Gen AI Research

#LLM  #Google ...  #Anthrop...  #Claude  #AI 
Google Kubernetes Engine (GKE)

Anthropic plans a major expansion of its Google Cloud TPU usage to enhance AI research and development, driven by increasing customer demand and valued at tens of billions of dollars.

Anthropic Scales Up Google Cloud TPUs to Power Next-Gen AI Research
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@devopslinks shared an update, 6 months, 1 week ago
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MinIO Pulls Docker Images and Documentation - Community Calls Move "Malicious" and "Lock-In Strategy"

MinIO

MinIO transitions to a source-only distribution model, ending pre-compiled Docker images, sparking community concerns over security and feature removal.

MinIO GitHub Issue
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@devopslinks shared an update, 6 months, 1 week ago
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Cloudflare Turns Workers into an Email Platform - Private Beta Begins.

Cloudflare Workers Cloudflare

Cloudflare introduces a private beta for its Email Service, integrating email sending into Workers to streamline email management and enhance delivery reliability for developers.

Cloudflare Turns Workers into an Email Platform - Private Beta Begins.
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@devopslinks shared an update, 6 months, 1 week ago
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A New Terraform Alternative Has Arrived - Platform Engineering Labs Launches Formae

formae Terraform

Platform Engineering Labs introduces formae, an open-source IaC platform, to streamline cloud resource management and replace traditional systems like Terraform.

A New Terraform Alternative Has Arrived - Platform Engineering Labs Launches Formae
News FAUN.dev() Team
@varbear shared an update, 6 months, 1 week ago
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Even Your Bed Isn’t Safe from AWS Outages - Eight Sleep Learns the Hard Way

Amazon Web Services

An AWS outage disrupted Eight Sleep's smart beds, prompting plans for an "outage mode" to enhance system resilience and prevent future connectivity issues.

Eight Sleep technology
AIStor is an enterprise-grade, high-performance object storage platform built for modern data workloads such as AI, machine learning, analytics, and large-scale data lakes. It is designed to handle massive datasets with predictable performance, operational simplicity, and hyperscale efficiency, while remaining fully compatible with the Amazon S3 API. AIStor is offered under a commercial license as a subscription-based product.

At its core, AIStor is a software-defined, distributed object store that runs on commodity hardware or in containerized environments like Kubernetes. Rather than being limited to traditional file or block interfaces, it exposes object storage semantics that scale from petabytes to exabytes within a single namespace, enabling consistent, flat addressing of vast datasets. It is engineered to sustain very high throughput and concurrency, with examples of multi-TiB/s read performance on optimized clusters.

AIStor is optimized specifically for AI and data-intensive workloads, where throughput, low latency, and horizontal scalability are critical. It integrates broadly with modern AI and analytics tools, including frameworks such as TensorFlow, PyTorch, Spark, and Iceberg-style table engines, making it suitable as the foundational storage layer for pipelines that demand both performance and consistency.

Security and enterprise readiness are central to AIStor’s design. It includes capabilities like encryption, replication, erasure coding, identity and access controls, immutability, lifecycle management, and operational observability, which are important for mission-critical deployments that must meet compliance and data protection requirements.

AIStor is positioned as a platform that unifies diverse data workloads — from unstructured storage for application data to structured table storage for analytics, as well as AI training and inference datasets — within a consistent object-native architecture. It supports multi-tenant environments and can be deployed across on-premises, cloud, and hybrid infrastructure.