Raziel Tabib

➰ APIContext's latest insights on cloud-based API performance have been featured on Nordic APIs! In the 2024 report, we delve into crucial aspects affecting API efficiency: 🔐 Authentication is key. Ensuring robust authentication mechanisms in APIs is crucial, yet offloading this function can introduce complex challenges. 📖 DNS configurations matter. How you handle DNS settings can significantly impact API performance, particularly when tied to authentication processes. 🌐 The role of third parties. Critical third-party services play a significant role in 🔗 API transactions, underscoring the need for careful integration and monitoring. ⛅ Not all clouds are created equal. Differences in cloud services can drastically affect API performance, an essential consideration as APIs account for over 80% of all internet traffic. #APIs #CloudComputing #TechInsights #APIContext

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Today, global MLOps community leader Demetrios Brinkmann details why MLOps is essential, how it differs from related roles like LLMOps, DevOps and A.I. Engineering, and the best tools for deploying and scaling LLMs. Demetrios: • Is Founder and CEO of MLOps Community, an organization dedicated to supporting MLOps professionals that has quickly grown to over 20,000 members. • Was previously founder of the Data on Kubernetes community. • Before that, worked in public-facing roles at a number of European tech startups. Today’s episode will be of interest to anyone who’s keen to better understand the critical function of MLOps in bringing machine learning models to the real world. In today’s episode, Demetrios details:  • What exactly MLOps is and how it relates to other jobs like LLMOps, DevOps and A.I. Engineer. • The key MLOps tools and approaches. • What it takes to build a thriving community of tens of thousands of professionals in just a few years. Many thanks to Amazon Web Services (AWS) for supporting this episode of Super Data Science, enabling the show to be freely available on all major podcasting platforms as well as the video version we publish on YouTube. This is Episode #787! #superdatascience #machinelearning #ai #mlops #devops #aiengineer

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AWS re:Invent is less than two weeks away. Want to accelerate your AI initiatives? Let's connect in Vegas and discuss how Meibel enables your engineering team to build Explainable AI into your products and experiences.

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I spent time lately working with the Milvus vector DB. It's very feature-rich, and meets the needs of most large enterprises. The Zilliz folks had written a blog post on building a basic RAG and a ReAct (Reasoning+Act) AI agent with Langchain.rb and Milvus: https://lnkd.in/e8g-YG-T Note: The `Langchain::Agent::ReActAgent` class has been replaced with the `Langchain::Assistant` class.

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These are the boring, yet impactful aspects of API operations I am here for--low-tech, economy impacting, real-world stuff like the API deprecation notice from the Department of Labor.

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Want a preview of what I'm going to be talking about in my keynote for RubyConf? You can catch a glimpse of it here!

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Incredibly grateful for 2024 and it's blessings. A summary: Horizon-Labs.co: Grew to 14 team members supporting 7 product dev and 3 GTM clients. Forever grateful to my cofounders Sinan and Serdar for developing an amazing engineering team that gets sh*t done! I get to focus on the easy stuff - customer success and sales. StartupStudios.co: We weren't able to carry on our momentum from 2023. Scheduling and post-production issues combined with personal challenges made the show inconsistent. Thank you to everyone who helped the show - I hope to restart this very soon. Intellus.ai: I get to work with one of the world's best AI/ML experts on next-gen cloud, SaaS, and AI products. Nobody else can claim they can reduce a company's OPEX by 20% or more within 2 months, and I'm excited to bring our tech to the world in 2025. Stay tuned for in-person events about AI soon. I love startups! Here's to an amazing 2025 for everyone 🥂

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"APIOps borrows the automation and integration fundamentals from DevOps to improve your collaboration across the entire API lifecycle, speeding up your release cycle while minimizing bugs. It also folds in what makes GitOps great for automating how you provision infrastructure, like relying on Infrastructure as Code (IaC) and formal change mechanisms, for more manageable and higher-quality production deployments." #apis #apigateway #APIops https://lnkd.in/gjsyuij6

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At the core of effective engineering leadership is the ability to stay connected with your team. This is perhaps the most challenging aspect because retaining the respect of your people is difficult unless you remain technically involved yourself. In my journey as an engineering leader, staying true to the individual contributor role that originally earned their respect has kept me close. This approach extends beyond technical expertise; it's about maintaining a deep connection with the core activities that propel product development forward at Gearflow. One of my biggest professional fears is becoming irrelevant or disconnected from my team and our work. This fear motivates me to continually reinvent and retool in response to market demands. Next month, I'll be sharing about my adventures generating synthetic data recently. And while I'm no expert when I start preparing for these talks, the process is incredibly valuable. It's less about delivering a perfect talk and more about how the preparation expands my thinking and exposes me to new capabilities. This helps me connect the dots to opportunities at Gearflow that bring real innovation to our customers. Speaking regularly holds me accountable and pushes me to learn ahead of the curve, ensuring I remain relevant and impactful day-to-day. Every talk is a journey of discovery, helping me to lead with humility, communicate clearly, and inspire a culture of innovation through a deep, technical understanding of our work.

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Come check out this talk if you want to learn how we built distributed queries for Iceberg + Python!

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Anthropic's latest Claude AI model is taking human-AI interaction to a whole new level! 🖥️🤖 The new Claude 3.5 Sonnet can now use computers just like a human would - by looking at the screen, moving the cursor, clicking buttons, and typing text. This is a major leap forward in AI capabilities. Key features: Operates based on screenshots, emulating human computer use Can perform complex multi-step tasks across different applications Self-corrects and retries when encountering obstacles2 Accessible via API for developers to build with Why it's game-changing: This opens up incredible possibilities for AI assistance in data entry, form filling, software testing, and automating repetitive computer tasks13. Imagine having an AI assistant that can seamlessly work alongside you, handling tedious computer work while you focus on higher-level tasks. While still in beta, this technology demonstrates how AI is rapidly advancing toward more human-like interaction with digital interfaces. As it develops further, it could revolutionize how we work with computers and boost productivity across industries. The future of human-AI collaboration just got a lot more exciting! What do you think about this new capability? #AIInnovation #FutureOfWork Here is a video about it: https://lnkd.in/gh8aNYEu

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Embrace the future of technology with RSV system

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In 60 seconds, Tariq Shaukat recaps the state of AI-generated code, and how Sonar adds value to code review with our partners GitHub, GitLab and more.

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We've set up a number of #Scala bounties for our #OSS projects w/ algora.io This round focuses on #OpenTelemetry integration in Tapir & sttp, resiliency in Ox and a requested Tapir feature: verifying #OpenAPI schemas. Give it a go! :) Full list: https://lnkd.in/dsJwRPZ2 

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Excited to take part in this upcoming webinar with Eyal S. and Iddo Gino, where we'll be talking about all things API consumption, how to manage challenges from dev to prod and potential solutions with WireMock and Lunar.dev Link to join is below, hope to see you there! https://lu.ma/rukbffio

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Step 1: build a platform to optimize software delivery Step 2: optimize the platform for DevEx Step 3: optimize the platform ROI Step 4: rinse and repeat

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I am thrilled to share our recent interview with SD Times about the creation of BoxLang, the newest JVM language! https://lnkd.in/d3J-xU-q #BoxLang #JVM #SoftwareDevelopment

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How @IronMountain built its InSight DXP on @MongoDB https://buff.ly/3zD1gUu We caught up with Adam Williams, Vice President of Global Platforms at Iron Mountain, to talk about use of MongoDB and scaling. Here's a look at some of the key takeaways.

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See you in Vegas so we can talk Placer.ai and your organization's needs!

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