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From Laptop to Cloud: Building and Scaling AI Agents With Docker Compose and Offload Sep 15th 2025, 19:00 by Pragya Keshap Running AI agents locally feels simple until you try it: dependencies break, configs drift, and your laptop slows to a crawl. An agent isn't one process — it's usually a mix of a language model, a database, and a frontend. Managing these by hand means juggling installs, versions, and ports. Docker Compose changes that. You can now define these services in a single YAML file and run them together as one app. Compose even supports declaring AI models directly with the models element. With one command — docker compose up — your full agent stack runs locally. Spring Cloud Gateway With Service Discovery Using HashiCorp Consul Sep 15th 2025, 18:00 by Vishnu Viswambharan This article will explain some basics of the HashiCorp Consul service and its configurations. It is a service networking solution that provides service registry and discovery capabilities, which integrate seamlessly with Spring Boot. You may have heard of Netflix Eureka; here, Consul works similarly but offers many additional features. Notably, it supports the modern reactive programming paradigm. I will walk you through with the help of some applications. Used Libraries Spring Boot Spring Cloud Gateway Spring Cloud Consul Spring Boot Actuator The architecture includes three main components: Mastering Approximate Top K: Choosing Optimal Count-Min Sketch Parameters Sep 15th 2025, 17:00 by Baskar Sikkayan What Is Top K? The "Top K" problem refers to determining the top-k elements with the highest frequencies or relevance scores from vast, rapidly changing data streams. In modern real-time systems — such as e-commerce platforms, social media, and streaming services — it's vital to quickly identify the most relevant items or events. Real-world examples include: Trending Twitter hashtags rapidly shifting based on tweet volume Most-watched Netflix movies updating hourly across regions Top Amazon products ranking sales in real time Popular YouTube videos updating hourly based on view velocity The "Top K" approach is essential for use cases like: How AI and Machine Learning Are Shaping the Fight Against Ransomware Sep 15th 2025, 16:00 by Daniel Akomolafe Ransomware remains one of the biggest threats to individuals and corporations, primarily because cybercriminals relentlessly look for loopholes. With traditional measures struggling to keep pace with cyber threats, the shift to artificial intelligence (AI) and machine learning (ML) can be revolutionary. With such technologies, detection is automated, damage mitigation strategies are devised, and even attacks are predicted ahead of time. In this article, we review the innovative approaches and AI-enabled solutions that enhance cybersecurity strategies against ransomware. The Roles of AI in Prevention and Threat Detection With AI technologies like natural language processing and image recognition, identifying anomalies is faster, more precise, and far better than having to rely on existing systems. By leveraging AI, machine learning algorithms can be combined to identify unique patterns that directly correspond to anomalies. For AI security solutions, the accuracy of cyber attack detection in a real-world environment is reduced by 96% when compared with traditional methods.

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