Mikhail Lapshin

System Design is more than just a buzzword—it's the foundation of scalable, reliable applications. My latest blog dives into the core concepts, with more in-depth posts on each coming soon. Start the journey here: https://lnkd.in/g9SR39TM

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Advancements in voice technology have transformed how we communicate and interact with devices. Navigate the complex interplay between convenience, security, and privacy with insights from Soniya Bopache. https://vrt.as/3StWlMa

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Good Analysis of Machine Learning Vs LLM models.

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The future of app development is here. Redis Released is our one-day event for developers to connect with Redis experts, learn about our product roadmap, and hear from the world’s largest brands on how they’re building with our powerful real-time technology. Here’s what we’ll share: → Our Product Roadmap → The World of Redis → Faster GenAI Apps Next stops: London on September 12th and New York City on October 17th. See you there: https://redis.io/released/

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A clear agent framework can guide you in structuring team roles and task allocation, including: Development of various custom tools to support the agent. Defining the agent's workflow steps, led by product managers. Designing clear task requirements, with participation from customer support teams. Directing agents to complete tasks, facilitated by prompt engineers. Selecting the most cost-effective and efficient LLM models, managed by engineering managers. Reviewing and fine-tuning individual agent contributions to overall outcomes, supported by data scientists. Monitoring token usage and execution speed, handled by SREs (Site Reliability Engineers). This course demonstrates how crewai enables the effective assembly of teams fulfilling the above roles. https://lnkd.in/gYeUGEv4

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The System Design Meetup episode on Stateful Orchestration is out! In reality this episode sets the table for proper introduction into the domain of stateful orchestration. I talk in detail about many SysDesign problems leading to formulating the problem, from the idea of serialization and vector clocks, through decoupling of producers and consumers, and all the way to Cadence and Temporal as generic mechanisms to enable SAGAs and more sophisticated patterns at scale. Link: https://lnkd.in/gTSNpY2Z

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And another very short one :) https://lnkd.in/eJycpKdC

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These instances also offer up to 50 Gbps network bandwidth and up to 40 Gbps Amazon Elastic Block Storage (Amazon EBS) bandwidth compared to up to 30 Gbps network bandwidth and up to 20 Gbps Amazon EBS bandwidth on Graviton3-based instances

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https://lnkd.in/gFWsZBEM Keeping pace with LLVM: compatibility strategies

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Want to explore SugarBPM and all it has to offer? 🔎 The Introduction to SugarBPM class will teach you how to create process definitions, business rules, email templates, and how to manage running processes. Register here: https://sgrcrm.co/415MSzI #CRM #SugarCRM

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🚀 Discover how Intuit powers up developer velocity with Argo, GitOps, and AI! Edward Lee shares how Intuit’s platform engineering team distills complex logs into human-readable insights, reducing troubleshooting time by 60% and minimizing build failures. Don’t miss this #ArgoCon keynote! 🧑‍💻 #DevOps #Argo #GitOps #AI #DeveloperProductivity View the full #ArgoCon schedule here: https://lnkd.in/gCdQJbP9

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User (highest mileage segment) feed-back at its finest :-)

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𝐂𝐥𝐢𝐧𝐓𝐫𝐢𝐚𝐥𝐗 (https://lnkd.in/gUBAwQWZ) R package has been helping fetch data easily from public sources like ClinicalTrials.Gov and the AACT CTTI. Now, it's taking a giant leap forward! 📈 Introducing the latest feature: the 𝐜𝐭𝐠_𝐝𝐚𝐭𝐚_𝐫𝐞𝐩𝐨𝐫𝐭() function! 🖥️✨ This feature transforms clinical trial data into an interactive HTML report, packed with: ✅ Quick data quality assessment ✅ Interactive data exploration table ✅ Insightful visualizations of study metrics ✅ Customizable report themes and color schemes ✅ Optional interactive plots ✅ Customizable titles, author, and footer information 💡 The report also offers the flexibility to toggle code visibility, allowing you to view or hide the R code that generated each feature. This can serve as a valuable reference or learning tool. 🔍 See it in action with an example report here - https://lnkd.in/gC2_dHrt This feature is under continuous development, with the goal of making it even better. Community input is crucial for its evolution! 🤝 👉 How can this fit a broader use case in the real world for daily use? 👉 What additional features would make your work easier? 👉 Any suggestions for improvements? Share your thoughts via GitHub issues on the repository (https://lnkd.in/gx2BtKKQ). Your feedback is invaluable in shaping the future of {clintrialx}! Also, a huge THANK YOU to everyone who showed love for the initial release. Your support drives further innovation. You all rock! 🌟 [Initial Release Post - https://lnkd.in/gp7384J4] Let's continue this journey of simplifying clinical trial data analysis together! #ClinicalTrials #DataVisualization #RStats #ClinicalResearch #ClinTrialX #ClinicalTrialsGov #AACT #CTTI #HealthcareInnovation #OpenSource #R #Rpackage #DataScience #ReportAutomation #CommunityFeedback

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That’s accurate….

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I recently watched a three-year-old YouTube video featuring Alibaba's CEO, Jack Ma, discussing artificial intelligence (AI). “ Don’t believe that the technology is going to take away human beings jobs. Technology is going to replace a lot of stupid jobs. When the first technology revolution came, Steam machines came, and people worried, Oh My God, Steam machines are going to take away a lot of jobs. After 50 years, the steam machine created more jobs. When electricity comes, a lot of companies are worried about losing jobs But electricity created so many jobs.  Artificial Intelligence, they will create more jobs, the problem is next 20-30 years, may loose lot of job, but this is shut period. So we people have to learn how we can survey in the AI period. ” We have already put AI to work with the ServiceNow platform. NVIDIA Founder and CEO Jensen Huang joins ServiceNow President and COO CJ Desai on the Knowledge main stage to share how NVIDIA and ServiceNow are working together to bring generative AI to enterprises and how leading organizations leverage Gen AI on the ServiceNow Platform to stay ahead of the curve. Please join the Keynote Session on Wed, May 8, 2024, 9:00 AM PST. Tune in live at  http://spr.ly/6045jOMov #ServiceNow #Nowplatform #Know24 #ai #generativeai

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