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Race Condition in DynamoDB DNS System: Analyzing the AWS US-EAST-1 Outage

A long AWS smackdown in US-EAST-1 traced back to a ticking time bomb inDynamoDB’s automated DNS system. The flaw torpedoed EC2 networking, hobbled Lambda and Fargate, and dragged down theNetwork Load Balancer. Endpoints ghosted. Configs stalled. Everything snowballed. AWS says they’ll upgrade EC2 th.. read more  

Race Condition in DynamoDB DNS System: Analyzing the AWS US-EAST-1 Outage
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You don’t need NAT gateway to deploy Lambda into VPC

AWS just made a big dent in NAT gateway bills. You can now runLambda in VPCs with IPv6 and an egress-only Internet gateway- no more always-on NAT draining your wallet. Keep the private subnets locked down. Still get outbound Internet access. IPv6 handles the traffic, slicing out the NAT middleman... read more  

You don’t need NAT gateway to deploy Lambda into VPC
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Datacenters in space are a terrible, horrible, no good idea.

A former NASA engineer - now a Google Cloud AI infra alum - rips apart the idea of building GPU datacenters in orbit. His verdict: space is a terrible server rack. Power delivery? A nightmare. Heat dissipation? Worse in a vacuum. Radiation? Frying time. Even a 200kW solar rig (think ISS-sized) could.. read more  

Datacenters in space are a terrible, horrible, no good idea.
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ArgoCD diffs at scale

Monday.com ditched ArgoCD's built-in manifest diffing. Instead, they wired up a custom CI renderer that pre-renders Helm charts using real cluster data. Then it compares the desired states across Git branches. The kicker: diffs go to a UI with custom grouping support. Reviews get easier. New devs ge.. read more  

ArgoCD diffs at scale
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Designing a Scalable Serverless Contact System with AWS and Terraform

TravelEase Inc., a growing travel company, significantly improved customer inquiries handling by replacing a basic mailto: link with a modular, serverless, cloud-native system managed with Terraform. This new system automated message validation, processing, storage, and notifications using Lambda fu.. read more  

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@devopslinks shared an update, 4 days, 1 hour ago
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2025 Internet Trends: Explosive AI Crawling Growth and the Rise of 30+ Tbps DDoS Attacks

In 2025, Internet growth was driven less by humans and more by AI, with AI crawling and user-triggered access surging while post-quantum encryption secured over half of human web traffic. Security risks intensified as record-breaking DDoS attacks topped 30 Tbps and government-imposed shutdowns accounted for nearly half of major global outages.

2025 Internet Trends: Explosive AI Crawling Growth and the Rise of 30+ Tbps DDoS Attacks
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@kala shared an update, 4 days, 2 hours ago
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Meta Acquires Autonomous AI Startup Manus for $3B

#AI agen...  #Manus A...  #Meta  #China  #AI 
Manus AI

Meta has acquired Manus AI for $3 billion, integrating its autonomous AI agents into Meta's products. Manus will continue operations and expand services under Meta, excluding China due to the removal of Chinese ownership.

Manus AI
LangChain is a modular framework designed to help developers build complex, production-grade applications that leverage large language models. It abstracts the underlying complexity of prompt management, context retrieval, and model orchestration into reusable components. At its core, LangChain introduces primitives like Chains, Agents, and Tools, allowing developers to sequence model calls, make decisions dynamically, and integrate real-world data or APIs into LLM workflows.

LangChain supports retrieval-augmented generation (RAG) pipelines through integrations with vector databases, enabling models to access and reason over large external knowledge bases efficiently. It also provides utilities for handling long-term context via memory management and supports multiple backends like OpenAI, Anthropic, and local models.

Technically, LangChain simplifies building LLM-driven architectures such as chatbots, document Q&A systems, and autonomous agents. Its ecosystem includes components for caching, tracing, evaluation, and deployment, allowing seamless movement from prototype to production. It serves as a foundational layer for developers who need tight control over how language models interact with data and external systems.