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More Than DNS: The 14 hour AWS us-east-1 outage

AWS’s us-east-1 faceplanted for 14 hours after arace conditioninDynamoDBkicked off a DNS meltdown, taking down 140 services. EC2 buckled under acongestive collapse, overwhelmed by a backup in DropletWorkflow Manager queues. Meanwhile, NLB health checks kept firing blanks - tricked by stale network s.. read more  

More Than DNS: The 14 hour AWS us-east-1 outage
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How We Saved $500,000 Per Year by Rolling Our Own “S3”

Nanit ditched S3’s PutObject-heavy ingest path and built a customRust-based in-memory landing zone (N3). It cut ~$500K/year in storage ops. N3 grabs short-lived video chunks straight into RAM and only spills to S3 when it has to. Ordering stays tight thanks toSQS FIFO, and fallback kicks in clean wh.. read more  

How We Saved $500,000 Per Year by Rolling Our Own “S3”
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You already have a git server

A plain-oldgit repo on an SSH-accessible servercan double as a lean deployment rig. Drop in somegit hooks- like apost-receive- and every push can kick off static site builds or publish code on the spot. No extra tools. Just Git doing Git things. Turns basic Git infra into a no-frills CI/CD pipeline... read more  

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@kala shared an update, 4 months, 1 week ago
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AWS Unveils Project Rainier: Massive AI Cluster with Trainium2 Chips

Amazon Web Services

AWS has launched Project Rainier, a massive AI compute cluster with nearly half a million Trainium2 chips, in collaboration with Anthropic to advance AI infrastructure and model development.

AWS Unveils Project Rainier: Massive AI Cluster with Trainium2 Chips
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Amazon Apologizes for Major AWS Outage in US-EAST-1 Region

Amazon Web Services Amazon EC2 Amazon ELB

Amazon apologized for a major AWS outage in the Northern Virginia region, caused by a race condition in the DynamoDB DNS management system, affecting services like DynamoDB, Network Load Balancer, and EC2.

Amazon Apologizes for Major AWS Outage in US-EAST-1 Region
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@varbear shared an update, 4 months, 1 week ago
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AI Takes Over GitHub: TypeScript Tops the Charts as 36 Million New Developers Join the Platform

Docker TypeScript vLLM GitHub Copilot Python

In 2025, GitHub saw a surge in growth with AI advancements, as TypeScript overtook Python and JavaScript in popularity, fueled by the release of GitHub Copilot Free and a global developer expansion.

AI Takes Over GitHub: TypeScript Tops the Charts as 36 Million New Developers Join the Revolution
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@kaptain shared an update, 4 months, 1 week ago
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Grafana Tempo 2.9 Supercharges Distributed Tracing with LLM Integration

Grafana Tempo

Grafana Tempo 2.9 debuts with MCP server support and TraceQL metrics sampling, enhancing data analysis and query efficiency.

Grafana Tempo 2.9 Supercharges Distributed Tracing with LLM Integration
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@kala shared an update, 4 months, 1 week ago
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LangChain Secures $125M and Launches LangChain & LangGraph 1.0

LangChain

LangChain raised $125 million to enhance its agent engineering platform, introducing LangChain and LangGraph 1.0 with new tools like the Insights Agent and a no-code agent builder, aiming to transform LLM applications into reliable agents.

LangChain Secures $125M and Launches LangChain & LangGraph 1.0
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SUSE Linux Enterprise 16 Launches with AI for Smarter Operations

Ansible SUSE Snapper

SUSE releases Linux Enterprise Server 16, integrating AI to boost efficiency and cut costs, with features like secure AI integration and a 16-year support lifecycle.

SUSE Linux Enterprise 16 Launches with AI for Smarter Operations
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Ubuntu 25.10 Takes a Bold Leap — Targets Modern CPUs with New amd64v3 Architecture

Ubuntu

Ubuntu 25.10 introduces support for amd64v3 architecture variants, enhancing performance by targeting specific silicon variants, with full support expected in the 26.04 LTS release.

Ubuntu 25.10 Takes a Bold Leap — Targets Modern CPUs with New amd64v3 Architecture
BigQuery is a cloud-native, serverless analytics platform designed to store, query, and analyze massive volumes of structured and semi-structured data using standard SQL. It separates storage from compute, automatically scales resources, and eliminates the need for infrastructure management, indexing, or capacity planning.

BigQuery is optimized for analytical workloads such as business intelligence, log analysis, data science, and machine learning. It supports real-time data ingestion via streaming, batch loading from cloud storage, and federated queries across external data sources like Cloud Storage, Bigtable, and Google Drive.

Query execution is distributed and highly parallel, enabling interactive performance even on petabyte-scale datasets. The platform integrates deeply with the Google Cloud ecosystem, including Looker for BI, Vertex AI for ML workflows, Dataflow for streaming pipelines, and BigQuery ML, which allows users to train and run machine learning models directly using SQL.

Built-in security features include fine-grained IAM controls, column- and row-level security, encryption by default, and audit logging. BigQuery follows a consumption-based pricing model, charging for storage and queries (on-demand or reserved capacity).