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@kaptain shared a link, 1 month, 1 week ago
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v1.36: Moving Volume Group Snapshots to GA

Volume group snapshots reachedGAin Kubernetesv1.36, with the API promoted togroupsnapshot.storage.k8s.io/v1. The feature lets aVolumeGroupSnapshotobject take crash-consistent snapshots across multiple PVCs selected by label, removing the need to quiesce applications that span separate data and log v.. read more  

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@kaptain shared a link, 1 month, 1 week ago
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v1.36: Declarative Validation Graduates to GA

Declarative validation graduated toGAin Kubernetesv1.36, replacing handwritten Go validation with+k8s:marker tags on field definitions... read more  

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@kaptain shared a link, 1 month, 1 week ago
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v1.36: Server-Side Sharded List and Watch

Alpha inv1.36, server-side sharded list and watch adds ashardSelectorfield toListOptionsso the API server uses an FNV-1a hash onmetadata.uidormetadata.namespaceto send each controller replica only its slice of the resource collection. This eliminates the cost of every replica deserializing the full .. read more  

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@kala shared a link, 1 month, 1 week ago
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Orchestrating AI Code Review at scale

Cloudflare engineers built an AI code review platform on OpenCode. They split GitLab integration, model providers, prompts, and policy into separate plugins. A coordinator assigns up to seven domain reviewers across security, performance, code quality, documentation, release checks, and AGENTS.md co.. read more  

Orchestrating AI Code Review at scale
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@kala shared a link, 1 month, 1 week ago
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How We Built an AI Second Brain for 60K Knowledge Workers

Meta built an AI agent system internally called the AI Second Brain that now has over 63,000 installs and ~10,000 daily active users across engineering, PM, design, legal, finance, comms, and sales, growing from zero in roughly three months after a non-technical PM's adoption post. The architecture .. read more  

How We Built an AI Second Brain for 60K Knowledge Workers
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@kala shared a link, 1 month, 1 week ago
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Democratizing Machine Learning at Netflix: Building the Model Lifecycle Graph

Netflix's Saish Sali, Nipun Kumar, and Sura Elamurugu describe the Metadata Service (MDS), a graph layer built to connect siloed ML tooling (model registry, pipeline orchestrator, experimentation platform, feature store, dataset platform, identity) across personalization, studio, payments, and ads. .. read more  

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@kala shared a link, 1 month, 1 week ago
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The AWS MCP Server is now generally available

AWS now offers AWS MCP Server as a managed remote MCP server in US East (N. Virginia) and Europe (Frankfurt). MCP-compatible clients can use existing IAM credentials to access more than 15,000 AWS API operations. For GA, AWS added IAM context keys, documentation retrieval without authentication, low.. read more  

The AWS MCP Server is now generally available
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@kala shared a link, 1 month, 1 week ago
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Running local models on an M4 with 24GB memory

Local LLMs work best as supervised coding assistants. The writer ran Qwen 3.5 9B (Q4) in LM Studio on a 24GB MacBook Pro and got about 40 tokens per second, with thinking mode, tool use, and a 128K context window. The author saw mixed results: Qwen helped with simple Elixir linter edits, then failed.. read more  

Running local models on an M4 with 24GB memory
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@devopslinks shared a link, 1 month, 1 week ago
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S3 Files and the changing face of S3

AWS launchedS3 Files, an EFS-backed feature that mounts any S3 bucket or prefix as an NFS filesystem on EC2, containers, or Lambda, with changes batched back to S3 roughly every 60 seconds. Rather than collapsing file and object semantics into a single model (an early design attempt called "EFS3" th.. read more  

S3 Files and the changing face of S3
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@devopslinks shared a link, 1 month, 1 week ago
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Why Queues Don’t Fix Scaling Problems

Queues do not create capacity, they delay the moment insufficient capacity becomes visible, and sustained overload turns a queue from a smoothing buffer into a cascading failure that takes down databases, connection pools, and consumer instances before it ever hits the queue's own limits... read more  

Craitrix is a leading global IT services and consulting company helping businesses transform digitally, innovate securely, and scale efficiently. We specialize in custom software development, blockchain solutions, IT consulting, and digital strategy services that deliver measurable results across industries.

With a team of experienced professionals, certified developers, and strategic consultants, Craitrix combines technical excellence with business insight to build secure, scalable, and future-ready solutions for startups, enterprises, and government organizations.

Our Core Services:

*Custom Software & Web Development

*High-performance web and mobile applications built for scalability, security, and user engagement.

*Blockchain & Web3 Solutions

*End-to-end blockchain development including smart contracts, token creation, DeFi platforms, NFT marketplaces, and decentralized applications.

*IT Consulting & Digital Strategy

*Expert consulting in digital transformation, cloud migration, cybersecurity, AI integration, and DevOps optimization.

*Cloud & Managed Services
*Scalable cloud infrastructure, system monitoring, optimization, and long-term support to enhance operational efficiency.

*Digital Marketing & Branding
Strategic SEO, social media marketing, and branding solutions to increase online visibility and customer engagement.

Why Choose Craitrix :

Client-centric and customized solutions
Experienced team with deep technical expertise
Advanced technologies including AI, blockchain, and cloud
Global presence with offices in India, UAE, and Canada
Proven success across multiple industries

Industries We Serve:

Finance & Banking
Healthcare
E-commerce & Retail
Education & E-learning
Logistics & Supply Chain
Real Estate & Property Management

Contact Us:

Transform your business with innovative IT and blockchain solutions from Craitrix.

* Website: www.craitrix.com
*Email: business@craitrix.com
*Call/WhatsApp: +91 7904514634