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By Evgeny Lukashov
If you’re using AWS Bedrock, AWS can use your data for model improvement by default. VPC endpoints do not prevent this. You need to explicitly opt out inside AWS Organizations. It takes 2 minutes, and in this blog I’ll show you how.
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By Udi Limor
Cloud commitments don’t fail because the math is wrong. They fail when teams chase flexibility instead of designing for it. In this short blog, I will walk you through a multi-cloud strategy (AWS and Azure) that uses Savings Plans, Reservations, and Marketplace Reserved Instances, without getting locked in.
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By Mark Valman
A mid-sized e-commerce company needed a production-ready, multi-region web platform deployed on Azure, and they needed it fast. Their infra team was at capacity, and the deadline was two weeks. Using Agentic InfraOps, I handed the job to AI agents: from requirements gathering to Bicep deployment and validation. The result: fully documented, compliant infrastructure built in 13 hours, with 92% alignment to the Azure Well-Architected Framework and 85% time savings.
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By Evgeniy Golovashev
Microsoft just added Anthropic’s Claude models to Microsoft Foundry. Instead of reading the press release, I ran a mini-benchmark to see how Claude Opus, Sonnet, and Haiku actually perform with real Python tasks and stdin/stdout workflows. The results will surprise you. Opus was the most complete, Haiku the fastest (and chattiest), and instruction-following was the weak point across the board. If you’re thinking about using Claude in production, read this first.
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By Evgeny Lukashov
I benchmarked EBS and S3 Express One Zone across EC2 and EKS setups to settle a question we kept hearing from customers: “What’s the best temp storage for ML pipelines?” The short answer: Here’s the full story and why it matters to your ML pipelines.
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By Udi Limor
If you’re using Microsoft Defender for Cloud, you’re probably overpaying. There’s a commitment-based pricing model that can save you up to 22% annually. But Azure won’t recommend it, and third-party tools ignore it. This blog breaks down how Defender Commit Units (DCUs) work, why they’re a blind spot, and what you need to do about it.
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By Evgeny Lukashov
Let’s be honest. A lot of AWS customers are still running on-prem GPU servers. Sometimes it’s for internal model training jobs, sometimes it’s cost-sensitive work that doesn’t need cloud-scale reliability. The pattern is common, especially in R&D-heavy environments. The usual go-to is virtualization platforms. But those add complexity and licensing overhead most teams would love to ditch. So, I went looking for something cleaner.
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By Evgeniy Golovashev
I carved one Azure H100 into virtual “cubicles” using MIG (Multi-Instance GPU), compared it to an A100, ran Triton inference workloads, and captured both latency and cost. The verdict – The H100 with MIG delivers better latency and consistency, while the A100 is more cost-effective at scale, depending on your workload.
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By Mark Valman
Everyone is talking about Model Context Protocol (MCP). The promise – let models talk directly to systems instead of building endless glue code. I wanted to see how it can solve several existing challenges, both internally and for our customers. So, I ran two real-world projects: Both solutions moved beyond theory; they’re running in production today.
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By Dudi Amir
TL;DR If you’re still buying Azure reservations that match your exact VM size, you’re missing out. There’s an option called Size Flexibility that lets a single reservation apply to multiple VM sizes in the same family. In some cases, reserving the cheapest VM size in the group still fully covers the more expensive ones, saving you up to 40%.
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By 2bcloud
2�� �������������� ���� Today, we’re launching our new look and vibe.�������� 2�� - fast, flexible, and always ready for what’s next.�������� �������� �������� ���������� ������������ ����. ��������������. ������ ��������������. ������ ������������. Same obsession: smarter support, bigger savings, zero extra cost.
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By 2bcloud
Sharpen your machine learning knowledge with our upcoming virtual event, "Machine Learning Model Inference at Scale with Graviton." In collaboration between 2bcloud and Amazon Web Services (AWS), this event will provide you with a comprehensive, step-by-step tutorial on setting up a high-performance and cost-optimized machine learning inference environment, using Graviton processors.
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By 2bcloud
Elevate your knowledge at the second webinar of our Graviton series, "Cost Effective Web Hosting on AWS Graviton." In collaboration between 2bcloud and Amazon Web Services (AWS), this event will provide you with an in-depth, hands-on demonstration on setting up an energy-efficient, cost-optimized web hosting environment using AWS Graviton processors, followed by an expert-led Q&A.
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By 2bcloud
Join us for an in-depth, guided demo on deploying Azure Open AI in real-world scenarios using AI Central. This webinar, a collaboration between Microsoft and 2bcloud, is tailored for DevOps engineers and will cover key implementation strategies. Learn how to effectively manage, monitor, and optimize your AI endpoints with practical examples and live demonstrations. Discover how to address common challenges and leverage AI Central for seamless, intelligent application management. Don't miss this opportunity to enhance your Azure Open AI deployment skills.
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By 2bcloud
In this short webinar, we have covered practical strategies for optimizing token usage costs, illustrated with real customer examples, and shared key insights into overcoming capacity limitations and proactive approaches for efficient scaling Speakers: Hemant Javari, Head of Solution Architecture, 2bcloud Dudi Amir, Finops Leadm, 2bcloud.
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By 2bcloud
In this webinar, we are exploring the fundamentals of Azure OpenAI, learning the process of setting up a powerful landing zone and gaining insights on scalability, security, and compliance.
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By 2bcloud
Learn how to navigate the Azure landscape effectively, seize collaborative opportunities, and unlock the growth potential of your business with the power of co-selling and Microsoft Azure.
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By 2bcloud
How we helped Nucleus Security get visibility into thier cloud spent, cut cloud cost and set up their infrastructure for scale.
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By 2bcloud
In this hands-on webinar, together with spot.io, we have learned about the value of Spotinst Ocean followed by a step-by-step demonstration of how to implement it in an AKS cluster.
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By 2bcloud
In this hands-on webinar, you will learn how to implement Azure Key Vault (a centralized place to manage all of your highly sensitive information on Azure) followed by a step-by-step demonstration of how to properly integrate your information with AKS cluster.
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We dedicate our expertise and passion to help you master the cloud.
We are a team of cloud experts driven by a passion for helping startups and ISVs create and deploy great products and services. We save you time, money, and other resources, so you can focus on the organizational objectives that grow your business.
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