Thomas Dohmke

Does anyone do alot of prometheus.io client side metrics stuff... ? I have a couple of questions about how far you can push the client as a local metrics store...... 1) the client when iterating makes you loop through metric families. does anyone know why? id rather loop thru just metrics as a flat space. 2) the client doesn't store timestamps when you Inc() or Set(...). this means the only way to see update times is to expose them to a server... and hope the server is scraping regularly . has anyone else wanted to be able to know when they (on the client side) last incremental a metric?

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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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Last year we started seeing more users bringing Replit to work. They had great stories about unblocking themselves when Eng wasn't available. Many of them earned promotions or new jobs thanks to their work automating tasks, shipping new features, or building tools. So now we've got first class support for users at work and in team settings. Try it out. Maybe you'll join those stories. Don't know how to code? Start with 100 Days of Code. Frustrated with tools like Git? We've simplified it for you with the new Projects feature.

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Wondering how to simplify your serverless journey? At #ServerlessDaysBLR2024, AWS Principal Developer Advocate Gunnar Grosch showcased how AWS Application Composer’s low-code, visual approach is redefining serverless development. From designing and configuring to collaborating, this tool tackles real-world challenges, letting developers build serverless applications directly in their IDE. See how it powers generative AI prototypes with Amazon Bedrock for rapid app creation! Whether you’re starting out or scaling up, this talk reveals how AWS Application Composer puts the focus back on innovation. This is a talk worth tuning into! 🔔 Subscribe to AntStack: https://bit.ly/47fDoCQ #ServerlessArchitecture #CloudComputing #AntStack #AWS #Serverless #Innovation #TechTalks #ServerlessDaysBLR2024 #AIApplications

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On April 18th, just last week, Meta unveiled Llama 3, lauded as "the most capable openly available LLM to date". This remarkable achievement by the Meta team comes hot on the heels of Llama 2's release last July. Notably, the new models surpass their predecessors and competing offerings from other providers in terms of performance. Meta's commitment to open sourcing these powerful models while prioritizing model safety and responsible usage is commendable. (https://lnkd.in/ghv3RJRz) Yesterday, Microsoft introduced Phi-3 Mini, a member of the Phi-3 family of models, promoted as "the most capable and cost-effective small language models available". According to Microsoft, the key to achieve high performance in such a small package lies in the quality of the training data. The model has been open sourced and is now available on Ollama and Hugging Face. (https://lnkd.in/gKgSmrBn)   These compact yet powerful models serve as invaluable tools for creators eager to bring their visions to life or simply experiment with cutting-edge technology, particularly for those with limited access to resources.   Shortly after the release of Llama 3, reports began surfacing of enthusiasts running the 8B model on a Raspberry Pi 5 equipped with just 8GB of RAM—a modest $80 single-board computer. (https://lnkd.in/gbeQPhQ2) While the performance understandably reflects the limitations of such a platform, the fact that the model runs and generates an output is nothing short of magical. Similarly, the Phi-3 Mini model can run on ubiquitous devices such as smartphones.   Reflecting on my own journey, I recall the pivotal role that early access to a low-cost computer played in shaping my passion for coding. The gift of an 8-bit Commodore 64 home computer ignited my curiosity at a young age. Later, with the guidance of an outstanding Computer Science teaching staff at my high school IISS Marconi-Hack Bari, I embarked on ambitious projects like a networked multiplayer version of Battleship written in Turbo Pascal and 8086 Assembly, complete with custom sprites and lo-res graphics. These formative experiences paved the way for my career, eventually leading me to various engineering and leadership roles.   It all began with a simple, low-cost, modestly capable computer used for experimentation—a gateway to discovering my life's passion.   I encourage educators and parents alike to consider setting up similar low-cost experimentation environments. By introducing younger generations to open-source AI technologies, we can nurture their creativity and help them uncover their true passions. It's not just a weekend project—it's an investment in their future and the future of innovation and discovery. #education #youth #AI #LLM #future #innovation

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I just realized: we should start saying "build memoization" rather than "build caching." We aren't really talking about least-recently-used or time-to-live algorithms, we're talking about "don't bother recompiling this piece if none of its inputs changed." (It has been puzzling me that some people are so deeply fearful of "build cache" as a concept, and honestly I think it's mostly because most build systems have non-hermetic state scattered all over the place. Maybe a slightly more precise term for the type of caching we're concerned with would clarify the semantics in question.)

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Event Streaming, Pub-Sub, and Event-Driven architectures are taken for granted these days. They are used in so many systems that it's rare to hear them being questioned. Join Sergey Bykov, SDE at Temporal Technologies, for a highly opinionated reflection, fueled by his personal journey, and brace yourself for lively debates as you navigate the ever-changing realm of tech architectures. 🎤 Learn more about his talk at #JOTB24, "Streaming on a Prayer or Call Me Maybe", here: https://lc.cx/pTzC2p #tech #eventstreaming #Temporal #softwaredevelopment #distributedsystems

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97% of tech professionals report challenges with Infrastructure as Code (IaC), from managing multiple tools to enforcing consistent configurations. The 2024 Stacked Up: IaC Maturity Report highlights these pain points—and more importantly, shows the way forward. Curious how your organization compares? Download the full report to explore how IaC is impacting teams across industries. #IaC #CloudNative #Infrastructure #TechLeadership #InfrastructurefromCode Download the report https://lnkd.in/ehMFjDde

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🚨 Our Vercel + Auth0 integration is now available in the Vercel Marketplace! 🚀 The team works hard (and smart) to make auth seamless for developers. This new integration is another way we are making identity easier for developers using Vercel. Nice work to the teams behind this work! ✨ #DeveloperExperience #Auth0 #Vercel #TeamWin

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The WebAssembly Founding Story Ben L. Titzer tells the story of how WebAssembly evolved out of collaboration between the Firefox team at Mozilla and the V8 team at Google, which was initially motivated by the introduction of asm.js. Extended Clip: https://lnkd.in/euf6YVji Full Episode: https://lnkd.in/eq4B-t9a #webassembly #bytecode #virtualmachine

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Hey everyone, I am an investor and advisor to Katanemo.... They are reinventing the infrastructure primitives for GenAI and launched Arch - https://lnkd.in/gCrbbkEV - an intelligent prompt gateway. Give the project a look on Github, and star the project if it resonates

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After over three years of maintaining #JCenter as a read-only repository for legacy #Java packages, JFrog is moving forward with an official sunset of JCenter and redirection of all requests to Maven Central. Learn more about it here: https://lnkd.in/gNyvsZxP

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From Chaos to Clarity: How Testopedia Tackles Flaky Tests Across Monorepos A few years ago, we embarked on a journey to eliminate flaky code tests at Uber, with the goals of stabilizing continuous integration across mono-repos, raising the quality bar, and resolving  Bermuda Triangles of unclear test accountabilities. Flaky tests are insidious. At best, they cause developers to toil over logs for each release, and at worst, obscure meaningful signals with excessive noise. Testopedia, a tool built at Uber, has helped us to fix such issues, as described in the Uber blog. Testopedia analyzes testing logs and statistics, dashboards insights, and alerts teams of regressions and problems. The tool has led to fixes for thousands of flaky tests in our Go and Java monorepos, reduced developer toil, and raised the level of pre-production and production stability. Learn more about reducing flaky tests and some other cool stuff we’re doing at Uber. Reach out to Anshuman Chadha to discuss opportunities to join us. https://lnkd.in/gngj8CvB Sergey Balabanov Xiaoyang Tan Yushan L. Sai To Yeung Hani Loza #Testing #FlakyTests #QualityAssurance #SoftwareTesting #TestAutomation #DeveloperTools #CodeQuality #QA

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🚀 I have been working in #embedded #software for over 20 years. Time flies. And things change. A LOT! #Cloud technology is changing the way things are being done. Here are three trends that are changing the industry ... once again. 1️⃣ Builds are automated via CI/CD. Fix the code -> build -> deploy. Rinse and repeat. As a result, both fixes and evolutions are coming faster than before. 2️⃣ AI makes certain devices at the #edge smarter, more efficient. 3️⃣ The Cloud is being fed more and more data from the devices, leading to further *potential* improvements in the Cloud and at the Edge. Of course, there are challenges. Which I will address a bit later. #device

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During this hands-on workshop, our experts will guide you through best practices for optimizing your Kubernetes clusters, leveraging the power of PerfectScale. You'll learn how to: - Identify and safely remove wasted resources - Pinpoint and remediate issues causing latency and downtime - Evaluate the efficiency of your autoscalers - Select the most cost-effective node types based on real-time data https://hubs.la/Q02WgM2c0 #k8s #devops #kubernetes #aws #sre

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🚀 Single-Threading for Optimal Performance 🚀 Warning: This is a very engineer-y post. ⚙ 📖 Over the holidays, I dove into the insightful book “Modern Software Engineering” by David Farley. If you haven’t read it yet, put it on your list - seriously. One nugget of wisdom that really stood out to me: Parallel computing might not be the silver bullet we often think it is. 💥 Surprised? I was too. We often default to multithreading to boost speed and scalability, but here’s the catch: it can actually slow program execution down. Locks can eat up a ton of time, thread management overhead can wipe out any speed gains, and worst of all, it turns our software into a non-deterministic beast - making it a nightmare to test and debug. 💡 David pointed to an article by Martin Fowler about LMAX, the world's fastest financial trading platform. They process a whopping 6 million orders per second using just a single thread. Mind-blowing. https://lnkd.in/dTJ7w7dC And interestingly: The very same is happening in hardware currently, too. Intel's newest processors have less and less hyperthreading abilities. 💻 Keep learning, keep challenging.

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It is more efficient to bring logic to the data than to ship data to the logic. This is especially true for "real time" RAG scenarios where OLTP data needs to be searched and processed in real time. Azure Postgres now has the ability to generate vector embeddings in real-time within the database. Check it out! #postgres #azure #ai #copilot #rag #llm #postgresql

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Developers love Redis because it’s fast. Liftoff uses Redis Cloud as a high-availability, low-latency database, increasing their ROI by improving ad relevance and quality. Hear more about the benefits of their improved ad relevance and quality straight from the director of engineering at Liftoff Mobile. Learn more about Liftoff's soaring ad exchange with Redis Cloud's low latency: https://lnkd.in/gAWBScEk

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We published an article about all the awesome product observability features of Segment we have today and upcoming in the near future. Bookmark this if you are a Segment user!

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