Julian LaNeve

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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➰ 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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If you are working with Docker... I highly recommend looking at the Slim toolkit. https://lnkd.in/gX_Gb9Kf Why? Slim allows developers to inspect, optimize, and debug their containers using its xray, lint, build, debug, run, images, merge, registry, vulnerability (and other) commands. It simplifies and improves your developer experience building, customizing and using containers. It makes your containers better, smaller and more secure while providing advanced visibility and improved usability working with the original and minified containers. Don't change anything in your container image; minify it by up to 30x to make it secure, too! Optimizing images isn't the only thing it can do, though. It can also help you understand and author better container images. Keep doing what you are doing. No need to change anything. Use the base image you want. Use the package manager you want. Don't worry about hand-optimizing your Dockerfile. You shouldn't have to throw away your tools and your workflow to have small container images. Node.js application images: from ubuntu:14.04 - 432MB => 14MB (minified by 30.85X) from debian:jessie - 406MB => 25.1MB (minified by 16.21X) from node:alpine - 66.7MB => 34.7MB (minified by 1.92X) from node:distroless - 72.7MB => 39.7MB (minified by 1.83X) Go application images: from golang:latest - 700MB => 1.56MB (minified by 448.76X) from ubuntu:14.04 - 531MB => 1.87MB (minified by 284.10X) from golang:alpine - 258MB => 1.56MB (minified by 165.61X) from centos:7 - 615MB => 1.87MB (minified by 329.14X) Rust application images: from rust:1.31 - 2GB => 14MB (minified by 147.16X) Java application images: from ubuntu:14.04 - 743.6 MB => 100.3 MB

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DURING BATTLES OF BIG TECHNOLOGY SHIFTS, HOW DO WE REDUCE THE WASTE? When do we bring in standardization and automation into a systems maturity model is a key queston most organizations go through especially the ones which focus on innovative products, service, and/or platforms. In that context, in my POV, it’s about time to think about platform engineering (and related tools/services/companies) in #GenAI/AI area for most enterprises. This dialogue between Rafay CEO Haseeb Budhani and Shelly DeMotte Kramer is a great listen in this context: Rafay CEO Haseeb Budhani on Kubernetes Complexity, Costs and Dev Productivity 👇🏽 https://lnkd.in/gZFGvQm8 Antonio Vieira Santos John Furrier David Vellante David Linthicum

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If you are jumping into Rust and Lambda, you need to be thinking about observability. OTel is where you want to look. And plugging OTel traces into Datadog will turbo-charge your insights. Here's how to get started https://lnkd.in/gSwA5sWX

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Just a few weeks after the GA release of Arm64 runners, we’re already seeing our clients achieve noticeable reductions in build times and lower runtime costs. If you're looking to scale your CI/CD operations and accelerate feedback loops, now is the time to explore the benefits of Arm64! Key takeaways: - ⚡ Faster build times to streamline development. - 💰 Cost savings through optimized runtimes. Ready to take your CI/CD to the next level? #CI/CD #Arm64 #DevOps #BuildOptimization #CostEfficiency #ContinuousIntegration target: https://lnkd.in/gY-_n6JJ

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Worth reading: How the Apache Arrow Format Accelerates Query Result Transfer by Ian Cook One of the hidden problems of intersystem communication is transcription of data formats. Ian does a wonderful job of explaining the "why" of Apache Arrow as well as the "how" of its advantages. Read on...

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The FireHydrant acquisition of Blameless signals a major shift in observability and incident management. My Partner Jaya and I just wrote about the looming "observability crisis"—how the explosion of data and tools has paradoxically made it harder to extract meaningful insights. This deal is a direct response to that crisis. By combining forces, FireHydrant and Blameless aim to build an end-to-end incident management platform to reimagine root cause analysis from the ground up. But to *truly* address the observability crisis, it will take more than consolidation. We need AI-driven systems that: → Provide natural language interfaces to query complex systems → Automatically generate and update incident response playbooks → Offer predictive maintenance by recognizing patterns across heterogeneous data sources → Synthesize post-mortem reports, distilling insights from terabytes of data Most critically, we need to ditch volume-based pricing models that incentivize data hoarding over problem-solving. Expect more moves as the market evolves to meet the demands of increasingly complex enterprise systems.

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It has taken a while to write up my notes from Kafka Summit. I spoke with ~200 people over 2 days and had some great conversations. There were many topics, but these 4 were the most common by far: 1. Operational Analytics 2. Event Driven Architectures 3. Unified ETL with Apache Flink 4. Automation and Data as Code/Config (DaC) Here's the write up: https://lnkd.in/ekhBFB3f Curious to hear what other themes folks found? #kafka #kafkasummit

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Everyone knows at this point that a year ago I had a difficult dismissal at MongoDB, where between several illegalities (firing over Slack, denying access to the offices while still employed, locking me out of my email and systems while travelling corporate in New York, ecc), all for trying to save our Website budget from spending 1 million USD per year on something that Cloudflare offered for 5$ a month, and while denying a bribery for being lenient to it. I had already overcame the fact that sometimes business needs call for measures and decisions that might not always be financially driven, but am terribly shocked and emotionally crushed to have found out that not only did they fire me, but failed to comply with a very basic legal obligation in Italy to have notified the republic that I was no longer employed by them. Why did that came as a shock? Because it was deliberately done, and with intent. Between Silvia Tropea , Davide Giuliano and Marie Ronan , I would be sure they would understand the law and the implications of failing to notify the Repubblica Italiana that I was unemployed: - I was no longer getting paid. - I was denied Naspl (severance) when I was still within the legal period to request it, and about to go to street situation and starve. - I could not enroll to public agencies for employement. - I could not get access to free healthcare, and get the anti-depressants I’m needing. - I could barely get enrolled in the social service program that has helped me with a place to sleep far from the cold, while my nose was bleeding, and access to public meals, whence I spent over 40 days in ketosis and with anemia. I don’t think that the fact they are a multi-billion dollar company traded in NASDAQ and with FedRamp regulation speaks more to a simple class consciousness issue, but it really shocks me in regards to my own definitions of Human Dignity, the Universal Letter of Human Rights, and the very definition of civility and barbarianism, which should set us apart from animals, by the mere fact that only the Modern State should have the monopoly of violence. I did not felt unfairly dismissed from a job. I felt barbarily violated by criminals of the worst kind. I can feel the pain of Ms. Paisley today, and I recommend their legal department review what the Duty of Care should stand for, at least in the United Kingdom, instead of having snailed my life around an unsurmountable amount risk, for what I poetically define as: pennys over grannys.

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If you're a Director/VP or CTO running an engineering org and will be in NYC Tuesday night (11/19) apply to join us as we discuss personal productivity. Whether it's motivation, organization or optimization, we're going to dig into how we deliver more value, and better value what we deliver :) Should be a great discussion! Link in the comments!

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This is the initial infrastructure Tradescoop was built on. A few things have changed, some additions and removals; for example, we’ve gone from MongoDB on Digital Ocean to Mongo Atlas, Redis cloud to Memorystore, but the general appraoch remains. Simplicity. Shouts to Karl Obinna Amalu, CSM for cleaning it up and adding color ✨ #gcp #infrastructure #devops

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Cedana enables live migration of stateful workloads including databases and long-running batch analytics. This is important as it enables higher reliability and lower costs (20%-80%). When your spot instance gets revoked, you can feel safe knowing that your workload is resumed on another instance without losing work. Here's a how-to guide to get started running Redis on spot. https://lnkd.in/eNt_hRGX If you're headed to #kubecon let's find time to chat.

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Your periodic reminder that containers and k8s are not secure boundaries for isolation. Don't let others run your workflows (especially CI/CD) in containers / kubernetes. At WarpBuild, we've taken extra steps to only run customer workloads in secure, isolated, ephemeral VMs. https://lnkd.in/gCwwZadG

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🎉 Big news! I'm thrilled to announce that my new book "Apache Kafka in Action" is now available in Manning Early Access Program (MEAP)! Three years ago, Alexander Kropp and I published the German Kafka book that received incredible feedback from the community. But Kafka's evolution hasn't stopped, and neither have we! This is the book we wish we had when we started with Kafka - born from our experience training nearly a thousand people across Europe and running Kafka in production environments. In "Apache Kafka in Action," we're sharing: 🌱 Kafka from the ground up 🚀 Real-world production insights 🔧 Troubleshooting challenges we've faced 📊 Operations, governance & monitoring ⚡ Practical patterns & antipatterns What makes this book special? It bridges the gap between theory and practice, guiding you through real-world scenarios and common challenges. We're sharing not just the what, but the why and how of successful Kafka implementations. 🎁 Use code "mlzelenin" for 50% off (valid until December 7th) 📖 Start reading now: https://lnkd.in/eQD3NzEK Special thanks to Manning Publications Co. and Hanser Verlag for making this possible. Looking forward to your feedback! #ApacheKafka #Streaming #DataEngineering #SoftwareArchitecture #TechBooks #Manning

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Incredible how API unifiers are taking off right now. If I had to build a business with $1M ARR in less than 12 months, I'd start as an API unifier 👇 Nearly all agentic application need roughly the same set of integrations. Calendar (Google Cal, Outlook), communications (slack, teams, email), transcriptions (zoom, otter, fireflies) cloud drive, etc. I can't imagine how much code is being duplicated right now by startups each creating their own integration. There's a huge need to unify into a single API and data schema which agents can work on top of. I'm not the only one to realize this. iLife - API's for logistics Kombo - API's for future of work TravelPOrt - API's for travel Makini - API's for manufactorers Twilio - API's for voice and text messaging Recall.ai - API's for all transcription services TruePill - APIs for telehealth services and prescription fulfillment As AI coding gets better a lot of this will become commoditized or generated on the fly. Long term, the ones who succeed will build a moat but value add services on top of the data they unified.

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What unique value does AWS Bedrock offer? It seems like Llama 3.1 8b is accessible both on my laptop and via AWS Bedrock on the same day, so what's the real differentiator? Or, in investor terms, what's the "moat"? AWS Bedrock doesn't serve as a market maker since AWS's own model isn't the anchor model. It's also not a pure model registry like Hugging Face. While its model serving capabilities offer governance and security, the model prompting and embeddings are completely customizable, which undermines model portability. Additionally, it lacks detailed insights into the strengths and weaknesses of different models, making it hard for customers to rely on it for selecting the right model for the right task. For instance, can it advise you that Flan-T5 is adequate for sentiment analysis?

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💥 We recently announced Temporal Nexus - the feature that connects durable executions across team, namespace, region, and cloud boundaries. Nexus endpoints are API proxies for Nexus services that abstract Temporal primitives like Workflows for seamless integration and collaboration across teams 🤝 
 
Benefits for developers: - Familiar API programming model that supports both sync and async patterns for connecting durable executions using existing queue-based Workers. - Modular architecture that allows teams to independently develop, scale, and maintain parts of an application with clear API contracts backed by robust Nexus machinery. - Enhanced security, troubleshooting, and fault isolation that reduces the risk of misbehaving workers, since each team can run their workflows in separate namespaces. Use the Temporal SDK to add Nexus services to your existing workers with clean API contracts for others to use. Read more: http://temporal.io/nexus

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