Frederik Nygaard Havlund Svendsen

#OpenAI - side note on a new feature - but huge impact #OpenAI just recently announced: https://lnkd.in/eS8t-ri4 A "strict" structured output in JSON - oki, so what you might think, it was somewhat possible before - but: - it is a reliable output with a JSON format only (from a given question/text/etc ) - we can now use our schema -> which saves hours of defining interoperability with other program outputs, customers, etc .. just throw your data at the #LLM and get your data format back - whatever JSON format you want. - it might make endless standardization meetings obsolete whenever two systems want to communicate - we all had that: I need 8 numbers for my order numbers - oh no - we should use 12, etc .. and the re-programming effort -> now: all gone This new feature has the potential to speed up innovation and avoid super boring meetings :-) #AIControlledByYou #Innovation #SpeedUp #NeverStopLearning #GenAI

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#MondayMotivation - Aiven for Valkey is now available!🚀 If you're looking for an open source alternative to Redis®, look no further. Maintained by the Linux Foundation and available as a managed service by Aiven, Aiven for Valkey gives you everything you need for caching, queuing, and more. Learn more 👉 https://ow.ly/P5gZ50SszUx #valkey #redis #NoSQL Valkey

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#GitOps is fantastic. But it can be exceptionally bad depending on the the level of abatraction developers need to push to it and how easy you make it. On top of GitOps you could make a simple automation. So instead of dealing with git clone, add, commit, push.... Maybe just state your intent. "release this to environment x" --> enter. That's what we at VELUX do with #Bura. Bura release -v 1.2 -e dev Let us know if you want to know more about Bura in the comments.

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🚀 Amazon contributes authentication improvement to #MariaDB 11.6! 🚀 One of the largest providers of MariaDB cloud services is also a contributor to MariaDB code - both in improvements to existing features as well as innovative new ones such as MariaDB #vectors. The Unix-socket #Authentication plugin allows the use of OS credentials for database maintenance connections, avoiding separate passwords. As part of the #Amazon RDS team’s continuous exploration of new ways to meet customer compliance security criterias, Hugo Wen found MariaDB didn't link Unix and database users with the same name. He implemented a solution that not only matches #MySQL’s functionality, but also improves the logic to fix security risks. In the MySQL plugin it allows two users to login, when it should only be one - in MariaDB only one user is allowed to log in. Hugo’s Pull Request is set to be part of the MariaDB 11.6 release. A big shoutout to Hugo and the Amazon RDS team for their contribution to the MariaDB community! Looking forward to sharing more about Amazon’s contributions to the MariaDB vector development work when the time is ripe! 🌟👏 Learn more details about the feature, see https://lnkd.in/dqRgTSRH #MariaDB #databases #pullrequest #contribution

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Just blogged: Introducing Blobify - A .NET Global tool that archives (moves) files from a local folder to an Azure Blob Storage container. https://lnkd.in/d_knViBi #azure #storage #dotnet #blob

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Are you doing CPU heavy work in your Blazor WASM applications? Then, you might want to read this article, which gives an overview of some of the options you have for writing multithreaded code in Blazor WASM using Web Workers. #dotnet #blazor https://hubs.li/Q02HbJqZ0

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Event Sourcing is still a relatively recent technique, and the "book" on best modeling practices isn't completely written. For what we know so far though, you do want to try to model such that your streams are short for a whole host of reasons. See https://lnkd.in/gTKXKCSh for more information on the "why", and also check out the "Closing the Books" pattern as a way to segment huge streams: https://lnkd.in/gm6NAkNz

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𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐚𝐫𝐞 𝐫𝐮𝐢𝐧𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬. Yes, I said it. We were sold the dream: 🔹 Independent services = faster deployments. 🔹 Distributed architecture = better scalability. 🔹 Microservices = the future. But here’s the dirty little secret no one talks about: 𝐘𝐨𝐮𝐫 𝐦𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐚𝐫𝐞 𝐡𝐨𝐥𝐝𝐢𝐧𝐠 𝐲𝐨𝐮 𝐛𝐚𝐜𝐤. Why? Because: 🔸 Poorly defined service boundaries = constant debugging nightmares. 🔸 Communication overhead = slower systems and frustrated teams. 🔸 Scaling services independently = a myth when your architecture is tangled. Here’s the reality: 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐰𝐨𝐫𝐤 𝐨𝐧𝐥𝐲 𝐰𝐡𝐞𝐧 𝐲𝐨𝐮 𝐝𝐞𝐬𝐢𝐠𝐧 𝐭𝐡𝐞𝐦 𝐰𝐢𝐭𝐡 𝐜𝐥𝐚𝐫𝐢𝐭𝐲 𝐚𝐧𝐝 𝐝𝐢𝐬𝐜𝐢𝐩𝐥𝐢𝐧𝐞. Here’s how I help teams overcome these pitfalls: ✅ Establishing clean service boundaries that reduce interdependencies. ✅ Using AI-powered tools to optimize communication across services. ✅ Architecting for real scalability, not theoretical perfection. With years of experience in designing robust, scalable systems on Google Cloud Platform, I’ve seen it all— the good, the bad, and the spaghetti code. 𝐓𝐡𝐞 𝐠𝐨𝐨𝐝 𝐧𝐞𝐰𝐬? You can untangle the mess and build microservices that deliver on their promise. Let’s talk. Whether you need guidance on microservices, AI, or cloud architecture— or just want to brainstorm solutions—reach out. 𝐁𝐞𝐜𝐚𝐮𝐬𝐞 𝐲𝐨𝐮 𝐝𝐨𝐧’𝐭 𝐡𝐚𝐯𝐞 𝐭𝐢𝐦𝐞 𝐟𝐨𝐫 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐚𝐥 𝐫𝐞𝐠𝐫𝐞𝐭𝐬. #Microservices #SeniorEngineers #GoogleCloud #SoftwareArchitecture #TechLeadership #SoftwareEngineering #ArtificialIntelligence #coding

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Redis: Supercharge Your Data with Speed and Simplicity Redis is an open-source, in-memory data structure store, used as a database, cache, and message broker. It's designed for performance and ease of use, making it a favorite among developers. 🔹 Why Redis? ⚡ Speed: In-memory storage ensures lightning-fast data access. 🔄 Versatility: Supports a variety of data structures like strings, hashes, lists, sets, and more. 📈 Scalability: Easily handles large volumes of data and high traffic loads. 💾 Persistence: Offers flexible data persistence options for durability. 🔹 Popular Use Cases: 🚀 Caching: Reduce latency and improve application performance. 🕒 Session Management: Store and manage user sessions efficiently. 📊 Real-Time Analytics: Perform complex queries and analytics in real-time. 📬 Message Queuing: Enable quick and reliable communication between services. 🔹 Ready to Get Started? Dive into Redis and experience the power of fast, reliable data storage. Whether you're building a small app or a large-scale system, Redis has you covered. #Redis #DataStorage #InMemoryDatabase #Caching #RealTimeAnalytics #Scalability #OpenSource #TechInnovation

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Checkout this playground where you will install and manage a vCluster within a two-node Kubernetes cluster. Get your hands dirty and learn more about vCluster by playing with it: https://lnkd.in/g9a2kPDg

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At the moment, several experts from Netic and Contain by Netic are attending Kubernetes Community Days (KCD) Denmark in Copenhagen to stay abreast of the latest developments in the #CloudNative and #Kubernetes landscape. Now, day one has come to an end. It has been a very inspiring first day, and we’re eager to share our insights, learnings, and thoughts. Therefore, we have asked Jonas, a consultant in our Cloud Native team, to highlight the three key takeaways from the first day of the conference: 1️⃣ Effective Kubernetes management requires specialised tools. As Kubernetes complexity increases, tools like KSail become essential for managing clusters efficiently through GitOps and provisioning local environments for faster development. 2️⃣ Password rotation remains a challenge despite technological advancements. Organisations need to implement robust and innovative solutions to regularly rotate credentials and maintain security. 3️⃣ Security vulnerabilities can be hidden in unexpected places. Attacks can originate from seemingly harmless sources, like shared images or insecure DNS configurations. Proactive identification and mitigation of these vulnerabilities are crucial. Remember, we’re always available for a discussion about optimisation opportunities in your company. Feel free to reach out: https://lnkd.in/gezaB3t2 - or meet us at the conference tomorrow. See you! #TriforkFamily #kcd #kcddenmark #kcddenmark2024 #cncf #CloudNativeNordics #contain

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The intersection between speedcubers and neovim users is probably not that high, but there is atleast one in existance (yours truely), so here we are. I felt the pull of the lua language yet again and decided to create a small plugin for neovim. The usual problem of "what should the plugin do?" arose but I quickly fell upon something that I always have on my desk when I work: my cube. Everyone has seen one, but not a whole lot of people can solve them. To solve them you need to scramble them. This seems like a strange issue but when you solve the cube in less than 30 seconds you might need to scramble the cube quite a few times in each session. Hence this plugin, now I can get a scramble whenever I want by just pressing the appropriate key mapping in neovim. My personal best on the cube is 19.60 seconds. My best average of 5 (do 5 consecutive solves, remove the slowest and the fastest and average the rest) is 27.46 seconds. By no means great but decent for a hobbyist. As a reference the world record is 3.13s single solve and 4.48s average of 5. Here is the plugin. https://lnkd.in/dqyHNmz6 A small note about the name of the plugin: When I got the idea I was listening to the song Den Svarta Fanan and decided that I wanted to honor Miesko Talarczyk (RIP) by naming the plugin after a song that he created.

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Fredrik Lundh’s lambda Refactoring Recipe If you find a piece of code hard to understand because of a lambda, Fredrik Lundh suggests this refactoring procedure: 1. Write a comment explaining what the heck that lambda does. 2. Study the comment for a while, and think of a name that captures the essence of the comment. 3. Convert the lambda to a def statement, using that name. 4. Remove the comment. These steps are quoted from the “Functional Programming HOWTO”, a must read. source: Fluent Python by Luciano Ramalho #python #lambda #fluent_python

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Docker is a platform that allows developers to easily create, deploy, and run applications in containers. Containers are lightweight, portable, and self-contained environments that can run on any operating system or cloud infrastructure. With Docker, developers can package their applications and dependencies into a single container, which can then be easily shared, moved, and deployed across different environments. This makes it easier to build and deploy applications, reduces infrastructure costs, and improves the overall efficiency of the development process. Docker is an essential tool in modern software development and is used by many companies and organizations to streamline their development and deployment workflows. #docker #backend #programming #production #fullstack #linux #java #cloud #cloudcomputing #articleship #dubaijobs #internationalwomensday #recruitment #leadership #digitalmarketing https://lnkd.in/guprsSMB

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Spring Boot 3.4 was released yesterday, and once again it contains a lot of useful enhancements. What to keep an eye on? by Simon Verhoeven. -Virtual threads -Observability Improvements -AssertJ Support for MockMvc -Embedded broker support for ActiveMQ classic -Apache pulsar -Docker, Inccompose enhancements -Testcontainer improvements -Connection details -Autoconfiguration management -Fallback beans -Bean validation -Bean-based conditions -RestClient and RestTemplate -DynamicPropertyRegistry deprecation -More granular Actuator access control -OkHttp Dependency is no longer managed -@AutoConfigureTestDatabase -Graceful shutdown by default -Gradle Inc. 8 -Cloud-native buildpacks -Deprecations -Varia https://lnkd.in/dHqNa54d #java #springboot #kotlin

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