CloudZone

𝗧𝗵𝗲 𝗖𝗹𝗼𝘂𝗱𝗭𝗼𝗻𝗲 𝗿𝗼𝗮𝗱𝘀𝗵𝗼𝘄 𝗶𝘀 𝗼𝗳𝗳𝗶𝗰𝗶𝗮𝗹𝗹𝘆 𝗺𝗼𝘃𝗶𝗻𝗴, 𝗮𝗻𝗱 𝘄𝗲 𝗷𝘂𝘀𝘁 𝘄𝗿𝗮𝗽𝗽𝗲𝗱 𝘂𝗽 𝗮𝗻 𝗶𝗻𝗰𝗿𝗲𝗱𝗶𝗯𝗹𝗲 𝘀𝘁𝗼𝗽 𝗶𝗻 𝗔𝗺𝘀𝘁𝗲𝗿𝗱𝗮𝗺. Two years ago, our relationship with Scaleflow started on a padel court. This week, that same journey came full circle on the main stage at the AWS Partner Keynote. Watching AWS present the joint success story we built with Scaleflow from the ground up, in front of a global audience, was the ultimate highlight of the summit. For over a decade as an Amazon Web Services (AWS) Premier Partner, this is exactly why we do what we do. We push the boundaries of what is possible for our customers and help them turn cloud technology into real business impact. Now, we are bringing that same energy to our next AWS Summit stop. 𝗔𝗪𝗦 𝗦𝘂𝗺𝗺𝗶𝘁 𝗠𝗮𝗱𝗿𝗶𝗱 | 𝗝𝘂𝗻𝗲 𝟰 | 𝗕𝗼𝗼𝘁𝗵 𝗦𝟭 If you are attending, come meet our team. Same partnership mindset. New city. See you there!

𝗪𝗵𝗲𝗻 𝗮𝗻 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝗮𝗰𝘁𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝘆𝗼𝘂𝗿 𝘀𝘆𝘀𝘁𝗲𝗺𝘀, 𝘄𝗵𝗼𝘀𝗲 𝗽𝗲𝗿𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀 𝗱𝗼𝗲𝘀 𝗶𝘁 𝘂𝘀𝗲? This question becomes much more complex when agents move from simple assistants to autonomous workflows. They read from CRMs, update project boards, pull data from internal systems, trigger business processes, and call downstream APIs across different platforms. But traditional authorization models were built for human-driven requests, not autonomous agents operating across multiple OAuth relationships. That is where the on-behalf-of problem begins. That is where the on-behalf-of problem begins. Service accounts often give agents broader access than they actually need. User tokens do not always travel cleanly across every platform the agent touches. And each system has its own permission model, scope, and security boundaries. In our latest blog, Daniel Oved breaks down where traditional authorization models fall short and what teams need to rethink before scaling autonomous agents. Read the full blog ➯ https://lnkd.in/dhFHXuEH

𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗸𝗲𝘆 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 𝘁𝗵𝗮𝘁 𝘁𝘂𝗿𝗻 𝗮𝗻 𝗔𝗜 𝗽𝗶𝗹𝗼𝘁 𝗶𝗻𝘁𝗼 𝗮 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻? On June 4, CloudZone will take the stage at Google Cloud Summit Tel Aviv to answer exactly that. Join Ori Tabachnik ☁🇮🇱, CloudZone’s CRO, for a practical deep dive into the 5 decisions that determine whether AI initiatives scale or stall. In his session,𝗙𝗿𝗼𝗺 𝗽𝗶𝗹𝗼𝘁 𝘁𝗼 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻: 𝗧𝗵𝗲 𝟱 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 𝘁𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗺𝗮𝘁𝘁𝗲𝗿, Ori will share field-proven insights from working closely with companies across hundreds of cloud journeys. He will break down where AI initiatives start to scale, where they usually get stuck, and share a practical framework for making the infrastructure choices that turn a promising pilot into a production-ready solution. 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗦𝘂𝗺𝗺𝗶𝘁 𝗧𝗲𝗹 𝗔𝘃𝗶𝘃 | 𝗝𝘂𝗻𝗲 𝟰 | 𝟭𝟯:𝟭𝟱 Building AI on Google Cloud?  𝗕𝗼𝗼𝗸 𝗮 𝟭:𝟭 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗼𝘂𝗿 𝗲𝘅𝗽𝗲𝗿𝘁𝘀 𝗮𝗻𝗱 𝘀𝘁𝗮𝗿𝘁 𝗺𝗮𝗽𝗽𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗽𝗮𝘁𝗵 𝗳𝗿𝗼𝗺 𝗽𝗶𝗹𝗼𝘁 𝘁𝗼 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻: https://lnkd.in/dG5kuqyn

𝗔𝗜 𝗽𝗶𝗹𝗼𝘁𝘀 𝗰𝗿𝗲𝗮𝘁𝗲 𝗲𝘅𝗰𝗶𝘁𝗲𝗺𝗲𝗻𝘁, 𝗯𝘂𝘁 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗔𝗜 𝗰𝗿𝗲𝗮𝘁𝗲𝘀 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝗺𝗽𝗮𝗰𝘁. That was the focus of our latest Tech Tasting event in Stockholm. Together with Amazon Web Services (AWS), we hosted 30 tech leaders from some of Sweden’s leading companies for an intimate morning around one key question. How do you actually run AI agents in production? The event featured an open conversation with Wilco van Duinkerken, CEO and Founder of Scaleflow, together with Maria Zetterberg and Marcos Llorens Martinez, about the decisions and challenges behind scaling an AI-driven platform. Wilco shared how the AI solution we built together helped ScaleFlow grow and serve customers in 24 hours, instead of a process that used to take a month. Niklas Palm, Senior AI/ML Specialist at AWS, then led a practical session on what it really takes to run AI agents in production. One of the key points Niklas shared was that the hardest part of agents is not always the model. It is often identity. Give an agent too little access, and it cannot do the job. Give it too much, and it becomes a security risk. That is exactly where production readiness is tested. At CloudZone, we believe sharing knowledge is one of the best ways to contribute to the ecosystem. Tech Tasting is one of the ways we bring that belief to life by connecting people, sharing practical cloud experience, and wrapping it all in a culinary experience that makes the conversation even more memorable.

¡𝗛𝗼𝗹𝗮 𝗠𝗮𝗱𝗿𝗶𝗱! 𝗖𝗹𝗼𝘂𝗱𝗭𝗼𝗻𝗲 𝗶𝘀 𝗵𝗲𝗮𝗱𝗶𝗻𝗴 𝘁𝗼 𝗔𝗪𝗦 𝗦𝘂𝗺𝗺𝗶𝘁 𝗠𝗮𝗱𝗿𝗶𝗱 🇪🇸 On June 4, we’ll be at booth S1 with one mission: helping you push your Amazon Web Services (AWS) environment to the max. Come meet our experts and see how we turn cloud challenges into drivers of business impact, from cost optimization and modernization to GenAI, AWS Marketplace growth, and more. 𝗕𝗿𝗶𝗻𝗴 𝘂𝘀 𝘆𝗼𝘂𝗿 𝗔𝗪𝗦 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀, 𝗮𝗻𝗱 𝘄𝗲’𝗹𝗹 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝗺𝗮𝘅𝗶𝗺𝗶𝘇𝗲 𝗮𝗿𝗲𝗮𝘀 𝗹𝗶𝗸𝗲: ❐ 𝗙𝗶𝗻𝗢𝗽𝘀 𝗲𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝗰𝗲: Reduce cloud costs by up to 30% while keeping performance high ❐ 𝗠𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴: Turn legacy infrastructure into scalable, cloud-native foundations  ❐ 𝗚𝗲𝗻𝗔𝗜 𝗶𝗻 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻:  Deploy Amazon Bedrock securely, efficiently, and at scale ❐ 𝗠𝗮𝗿𝗸𝗲𝘁𝗽𝗹𝗮𝗰𝗲 𝗺𝗮𝘀𝘁𝗲𝗿𝘆: Use AWS Marketplace to optimize spend, simplify procurement, and accelerate growth Want to experience the 𝗠𝗮𝘅 𝗖𝗹𝗼𝘂𝗱 mindset? Book your free assessment here ➯ https://lnkd.in/dG5kuqyn See you in Madrid! P.S. We’ve got a surprise waiting for you at booth S1.

𝗧𝗵𝗲 Google Cloud 𝗦𝘂𝗺𝗺𝗶𝘁 𝗶𝘀 𝗹𝗮𝗻𝗱𝗶𝗻𝗴 𝗶𝗻 𝘁𝗵𝗲 𝗻𝗼𝗻-𝘀𝘁𝗼𝗽 𝗰𝗶𝘁𝘆, 𝗮𝗻𝗱 𝘄𝗲’𝗿𝗲 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝘂𝗽. On June 4, Google Cloud Summit hits Tel Aviv, and the CloudZone team will be there to show you what a true 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗣𝗿𝗲𝗺𝗶𝗲𝗿 𝗣𝗮𝗿𝘁𝗻𝗲𝗿 partnership looks like. Beyond the technology, the real advantage is having a deeply embedded partner by your side. One that gives you the technical guidance and exclusive insights you need to maximize your cloud investment with minimal effort on your part. 𝗖𝗼𝗺𝗲 𝗺𝗲𝗲𝘁 𝗼𝘂𝗿 𝗲𝘅𝗽𝗲𝗿𝘁𝘀 𝗮𝘁 𝘁𝗵𝗲 𝗯𝗼𝗼𝘁𝗵 𝗳𝗼𝗿 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻𝘀 𝗼𝗻: ❐ 𝗠𝗮𝘅 𝗔𝗜 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆: Moving from experimentation to execution with AI initiatives that are responsible, scalable, and tied to measurable business value. ❐ 𝗙𝗶𝗻𝗢𝗽𝘀-𝗙𝗶𝗿𝘀𝘁 𝗣𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽: Creating cost clarity, stronger control, and better cloud investment decisions at every stage of growth. ❐ 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Leveraging our proven expertise in DevOps and Infrastructure to automate, scale, and harden your environment. 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗽𝘂𝘀𝗵 𝘆𝗼𝘂𝗿 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝘁𝗼 𝘁𝗵𝗲 𝗺𝗮𝘅? 𝗖𝗼𝗺𝗲 𝗺𝗲𝗲𝘁 𝘂𝘀 𝗮𝘁 𝗼𝘂𝗿 𝗯𝗼𝗼𝘁𝗵 ➯  https://lnkd.in/dTZPGBJd

𝗦𝘁𝗼𝗰𝗸𝗵𝗼𝗹𝗺, 𝘆𝗼𝘂 𝘄𝗲𝗿𝗲 𝗶𝗻𝗰𝗿𝗲𝗱𝗶𝗯𝗹𝗲! Last week, we spent an inspiring day at AWS Summit Stockholm with tech leaders, our AWS partners, and cloud-native teams from across the Nordic ecosystem. Our booth was buzzing with leaders navigating complex cloud environments, all looking for practical ways to scale, reduce cloud waste, strengthen governance, and get more value from Amazon Web Services (AWS). Many of the conversations touched on the same questions companies are facing right now: how to take AI projects from idea to production, how to meet sovereignty and governance requirements, and how to keep performance high without letting cloud costs run wild. These are exactly the challenges we help customers solve, combining strategy, architecture, FinOps, and hands-on cloud expertise. At CloudZone, we are your cloud people, helping you get maximum value from every dollar you invest in your cloud. 𝗠𝗶𝘀𝘀𝗲𝗱 𝘂𝘀 𝗮𝘁 𝘁𝗵𝗲 𝘀𝘂𝗺𝗺𝗶𝘁? Book a 1:1 consultation with our experts → https://lnkd.in/dG5kuqyn

𝗔 𝗿𝗲𝗮𝗹𝗹𝗼𝗰𝗮𝘁𝗶𝗼𝗻 𝗿𝗲𝗾𝘂𝗲𝘀𝘁 𝘁𝗵𝗮𝘁 𝘂𝘀𝗲𝗱 𝘁𝗼 𝘁𝗮𝗸𝗲 𝘄𝗲𝗲𝗸𝘀 𝗰𝗮𝗻 𝗻𝗼𝘄 𝗯𝗲 𝗱𝗲𝗰𝗶𝗱𝗲𝗱 𝗶𝗻 𝘂𝗻𝗱𝗲𝗿 𝟲𝟬 𝘀𝗲𝗰𝗼𝗻𝗱𝘀. 𝗙𝘂𝗹𝗹 𝗮𝘂𝗱𝗶𝘁 𝘁𝗿𝗮𝗶𝗹 𝗶𝗻𝗰𝗹𝘂𝗱𝗲𝗱. For CTOs and R&D leaders managing budget reallocations, the bottleneck is rarely the decision itself. It's finding the right policy clause, applying it consistently, and documenting the justification manually for every request, every time. We built a RAG-based system that changes this. When a request comes in, the system retrieves the relevant policy excerpts from the organization's knowledge base, reasons over them, and returns a structured decision with a precise citation. Consistent, fast, and auditable by design. The finance team stops gatekeeping and starts strategizing, that’s the shift worth building for. Read the full technical breakdown → https://lnkd.in/djnZwcyH

𝗠𝗼𝘀𝘁 𝗔𝗜 𝗶𝗻𝗶𝘁𝗶𝗮𝘁𝗶𝘃𝗲𝘀 𝗱𝗼𝗻’𝘁 𝘀𝘁𝗮𝗹𝗹 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝘁𝗵𝗲𝘆 𝗹𝗮𝗰𝗸 𝗿𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴. 𝗧𝗵𝗲𝘆 𝘀𝘁𝗮𝗹𝗹 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗿𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 𝗻𝗲𝘃𝗲𝗿 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻. Moving beyond the prompt means building agents that can plan, act, and integrate with your existing environment, not just respond. That requires rethinking orchestration, tool integration, memory, and autonomous decision-making from the ground up. Vertex AI Agent Builder is a Google Cloud framework for exactly that. It separates development (ADK: behavior, tools, multi-agent patterns) from production (Agent Engine: scaling, observability, governance within IAM and VPC-SC boundaries), so teams can ship production-grade agents without rebuilding their stack. We broke down the full framework in a technical guide. 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗵𝗲𝗿𝗲 → https://lnkd.in/dfTt5Vha

𝗠𝗼𝘀𝘁 𝗥&𝗗 𝘁𝗲𝗮𝗺𝘀 𝗿𝘂𝗻𝗻𝗶𝗻𝗴 𝗔𝗺𝗮𝘇𝗼𝗻 𝗕𝗲𝗱𝗿𝗼𝗰𝗸 𝗮𝘁 𝘀𝗰𝗮𝗹𝗲 𝗲𝘃𝗲𝗻𝘁𝘂𝗮𝗹𝗹𝘆 𝗵𝗶𝘁 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝘄𝗮𝗹𝗹: 𝗨𝘀𝗮𝗴𝗲 𝗹𝗼𝗼𝗸𝘀 𝘀𝘁𝗲𝗮𝗱𝘆, 𝗯𝘂𝘁 𝘁𝗵𝗲 𝗯𝗶𝗹𝗹 𝗸𝗲𝗲𝗽𝘀 𝗰𝗹𝗶𝗺𝗯𝗶𝗻𝗴. We call it Prompt Inflation. As prompts, guardrails, and RAG context expand, so does your token volume. Essentially, you end up paying full price for the same context, over and over again. To help technical leaders stop this "token drift," we’ve developed the Bedrock Efficiency Playbook. This technical guide is designed for production-grade implementations with minimal engineering overhead. No fluff, just field-proven tactics based on real-world scenarios we’ve managed for R&D teams at scale. 𝗜𝗻𝘀𝗶𝗱𝗲 𝘁𝗵𝗲 𝗽𝗹𝗮𝘆𝗯𝗼𝗼𝗸, 𝘆𝗼𝘂’𝗹𝗹 𝗳𝗶𝗻𝗱 𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 𝘁𝗼 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝘆𝗼𝘂𝗿 𝗚𝗲𝗻𝗔𝗜 𝘀𝗽𝗲𝗻𝗱: ➩ 𝗣𝗿𝗼𝗺𝗽𝘁 𝗖𝗮𝗰𝗵𝗶𝗻𝗴: Cut input costs by up to 90% and latency by 85%. ➩ 𝗠𝗼𝗱𝗲𝗹 𝗥𝗶𝗴𝗵𝘁-𝗦𝗶𝘇𝗶𝗻𝗴: Achieve up to 500% faster performance by matching tasks to the right model.  ➩ 𝗕𝗮𝘁𝗰𝗵 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲: Access a 50% flat discount for non-real-time workloads. ➩ 𝗥𝗔𝗚 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: Implement precision retrieval to eliminate context bloat. If you’re scaling GenAI on AWS, this is a critical resource to ensure your innovation remains cost-effective. 𝗚𝗲𝘁 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗽𝗹𝗮𝘆𝗯𝗼𝗼𝗸 𝗵𝗲𝗿𝗲 ➩ https://lnkd.in/eeZs9B_g