Exploring the Frontiers of AI: The Emergence of LLM-4 Architectures
DZone Microservices Zone
by Ashok Gorantla
1M ago
The relentless advancement of artificial intelligence (AI) technology reshapes our world, with Large Language Models (LLMs) spearheading this transformation. The emergence of the LLM-4 architecture signifies a pivotal moment in AI development, heralding new capabilities in language processing that challenge the boundaries between human and machine intelligence. This article provides a comprehensive exploration of LLM-4 architectures, detailing their innovations, applications, and broader implications for society and technology. Unveiling LLM-4 Architectures LLM-4 architectures represent the cu ..read more
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An Explanation of Jenkins Architecture
DZone Microservices Zone
by Ruchita Varma
1M ago
In the fast-paced world of software development, efficiency is paramount. Automating repetitive tasks is key to achieving faster delivery cycles and improved quality. This is where Jenkins comes in — a free and open-source automation server that has become synonymous with continuous integration (CI) and continuous delivery (CD). Jenkins, the open-source automation powerhouse, plays a pivotal role in the DevOps world. But have you ever wondered how it all works under the hood? This blog delves into the intricate architecture of Jenkins, breaking down its core components and how they orchestrate ..read more
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Getting Started With NCache Java Edition (Using Docker)
DZone Microservices Zone
by Gowtham K
1M ago
NCache Java Edition with distributed cache technique is a powerful tool that helps Java applications run faster, handle more users, and be more reliable. In today's world, where people expect apps to work quickly and without any problems, knowing how to use NCache Java Edition is very important. It's a key piece of technology for both developers and businesses who want to make sure their apps can give users fast access to data and a smooth experience. This makes NCache Java Edition an important part of making great apps. This article is made especially for beginners to make the ideas and steps ..read more
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Vector Tutorial: Conducting Similarity Search in Enterprise Data
DZone Microservices Zone
by John Vester
1M ago
Software engineers occupy an exciting place in this world. Regardless of the tech stack or industry, we are tasked with solving problems that directly contribute to the goals and objectives of our employers. As a bonus, we get to use technology to mitigate any challenges that come into our crosshairs. For this example, I wanted to focus on how pgvector — an open-source vector similarity search for Postgres — can be used to identify data similarities that exist in enterprise data.  ..read more
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Design Principles-Building a Secure Cloud Architecture
DZone Microservices Zone
by Suhas Jangoan
1M ago
To navigate the digital landscape safely, organizations must prioritize building robust cloud infrastructures, and sanctuaries for their valuable data. The foundation of a secure cloud architecture requires steadfast principles and guiding decisions like invisible forces that form a resilient structure. Here we explore the key tenets for building a secure environment within the cloud. Least Privilege The concept of 'Least Privilege' dictates that a person or system should have the minimal level of access or permissions needed to perform their role. This security measure is akin to compartmenta ..read more
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AWS Fargate: Deploy and Run Web API (.NET Core)
DZone Microservices Zone
by Jawad Hasan Shani
1M ago
Fargate is a serverless compute engine for containers that works with both Amazon ECS and Amazon EKS. With AWS Fargate, we can run applications without managing servers (official information page). In this post, we will take a step-by-step approach to deploying and running a .NET Core Web API application on AWS Fargate Service ..read more
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Cilium: The De Facto Kubernetes Networking Layer and Its Exciting Future
DZone Microservices Zone
by Tom Smith
1M ago
Cilium is an eBPF-based project that was originally created by Isovalent, open-sourced in 2015, and has become the center of gravity for cloud-native networking and security. With 700 active contributors and more than 18,000 GitHub stars, Cilium is the second most active project in the CNCF (behind only Kubernetes), where in Q4 2023 it became the first project to graduate in the cloud-native networking category. A week ahead of the KubeCon EU event where Cilium and the recent 1.15 release are expected to be among the most popular topics with attendees, I caught up with Nico Vibert, Senior ..read more
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Simplify, Process, and Analyze: The DevOps Guide To Using jq With Kubernetes
DZone Microservices Zone
by Rajesh Gheware
1M ago
In the ever-evolving world of software development, efficiency and clarity in managing complex systems have become paramount. Kubernetes, the de facto orchestrator for containerized applications, brings its own set of challenges, especially when dealing with the vast amounts of JSON-formatted data it generates. Here, jq, a lightweight and powerful command-line JSON processor, emerges as a vital tool in a DevOps professional's arsenal. This comprehensive guide explores how to leverage jq to simplify, process, and analyze Kubernetes data, enhancing both productivity and insight. Understanding jq ..read more
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Integrating Snowflake With Trino
DZone Microservices Zone
by Artem Ervits
1M ago
In today's discourse, we delve into the intricacies of accessing Snowflake via the Trino project. This article illuminates the seamless integration of Trino with Snowflake, offering a comprehensive analysis of its benefits and implications. Previous Articles Previous articles on Snowflake and Trino ..read more
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AI-Driven API and Microservice Architecture Design for Cloud
DZone Microservices Zone
by Nilesh Charankar
1M ago
Incorporating AI into API and microservice architecture design for the Cloud can bring numerous benefits. Here are some key aspects where AI can drive improvements in architecture design: Intelligent planning: AI can assist in designing the architecture by analyzing requirements, performance metrics, and best practices to recommend optimal structures for APIs and microservices. Automated scaling: AI can monitor usage patterns and automatically scale microservices to meet varying demands, ensuring efficient resource utilization and cost-effectiveness. Dynamic load balancing: AI algorithms can ..read more
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