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Matthew J. Mack
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Matthew J. Mack
@MackMatze
Software Engineer(); | B. Sc. Information Systems @Uni_Stuttgart | #JavaDev #CppDev #JSdev #PHPdev #SQL #JEE #RoboticsEnthusiast #AI | ❤️ #3DPrinting
Stuttgart, Germany Katılım Mart 2013
1.6K Takip Edilen1.9K Takipçiler

Unlock the magic of Kubernetes pod networking! Discover how CNI works & understand the inner mechanics behind container communication in this informative article [link] #Kubernetes #CNI #ContainerNetworking #DevOps
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Data lakes transformed from static to dynamic systems over the last decade. Apache Iceberg brought ACID transactions & schema evolution on Amazon S3, while AWS Glue made metadata management serverless & automatic #dataengineering #datascience #AWS
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Meet Spring AI-powered chatbot tailored for family use! Combining modular orchestration & local vector store, it delivers grounded responses, prioritizing privacy & security on personal infrastructure #SpringAI #RAGchatbots #HomeAutomation #DomesticAI
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Software dev's evolution from Waterfall to Agile & Scrum drove better complexity management. Now, AI joins the team at a new inflection point, promising collaboration & innovation #ArtificialIntelligence #SoftwareDevelopment #Agile #AIinDev
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Choosing a vector database isn't as straightforward as it seems! Big differences appear only after going live! Learn from our experience: don't just pick based on features & benchmarks, but also consider real-world implications #VectorDatabases #AI #SemanticsSearch
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Minor Java performance regressions lead to significant operational expense & lost revenue. Systematic debugging & profiling prevent these issues, leading to efficiency gains. Read more: [link] #DevOps #PerformanceOptimization #Java
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AI doc assistants often rely on perms & token limits, but consider limiting scope & results to prevent unnecessary queries. Example: List all confidential docs instead of All docs with 'confidential' in title #AIDocAssistant #SecurityAudits
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Data in motion poses a constant security threat. Traditional tools (firewalls, SIEMs, DLPs) struggle to keep up as data flows across platforms. The challenge: effectively monitoring & protecting distributed data touchpoints #CyberSecurity #DataProtection #CloudSecurity
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Code cleanup just got a brain! AI helps refactor messy code, identifying errors & removing unnecessary bits. Faster, easier & error-free updates await! Discover how #AIpowered refactoring saves time & reduces tech debt for coders & companies #coderevolution #techinnovation
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Revolutionizing #MLOps in Databricks Unity Catalog: Linking GitLab CI/CD pipelines for isolated model registries, compliance checks & declarative ML workflow deployment. Scalable, secure ML deployments within reach! #DataGovernance #DevOpsForAI
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Debugging performance regressions in high-scale #Java services can be costly & nuanced. Adopting systematic practices correlates signals, validates fixes under load & prevents issues before they impact margins [link to article] #performanceawareness #DevOps
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Limit AI document assistant tokens wisely: Avoid relying solely on filtering results by user permissions. Instead, pre-define search queries & handle results per request to prevent unintended data exposure #AIDocumentAssistant #AIethics #SecurityBestPractices
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Data's constant movement creates an expanded attack surface. Traditional security tools (firewalls, SIEMs, DLPs) face challenges in monitoring & protecting data across multiple platforms. #Cybersecurity #DataProtection #InfoSec #CloudSecurity
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AI helps clean up messy code, making it readable, faster & update-ready. Using machine learning, AI identifies errors, removes unnecessary code & updates standards, saving time & reducing errors for coders & companies #CodeRefactoring #ArtificialIntelligence #TechDebt
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Revolutionizing MLOps: Linking GitLab CI/CD pipelines in Databricks Unity Catalog boosts data governance & scalability. Isolated model registries, compliance checks & declarative ML workflows now possible! #MLOps #Databricks #DataGovernance #CI_CD
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"Debugging performance regressions in Java web services can cost dearly. Systematic practices & profiling prevent issues, saving via reduced cloud spend or increased traffic handling. Learn how to build discipline: [link] #JavaPerformance #DevOps"
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"LLMs speed up coding with syntax checking, test cases & bug fixes, but can they secure our code? Will AI-powered repos understanding replace traditional security scanning tools or augment them? #AIcodingassistants #CodeSecurity #SoftwareDevelopment"
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#GeForceSummer Nights GPU Reveal: GeForce RTX 5090 x Cyberpunk 2077 🌃🟢
Want it?
🟢Comment #GeForceSummer to ENTER to WIN
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🚀 The future of humanoid robots is here! 🤖💡 From Tesla's Optimus Gen 2 to Boston Dynamics' retired Atlas, 2024 brings cutting-edge innovation in robotics.
Which one impresses you the most? 🔥👇
#HumanoidRobots #AI #Tech #BostonDynamics #TeslaOptimus #Unitree #AgilityRobotics

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