Page 51-kubernetes-php.cn

Article Tags

All

Home

Technical articles

Working with Amazon Cloud Technology, Beijing Lingao Technology helps enterprises seamlessly combine large models and data

As the era of generative AI continues to develop, more and more companies are beginning to pay attention to, apply and even train large models, hoping to create greater business value. This idea is certainly correct. The emergence of large models will definitely bring innovation and breakthroughs to enterprises. However, the basic model relies on large-scale high-quality data sets. The key to using generative AI to bring differentiated advantages to enterprises is the enterprise's proprietary data. Data is one of the core competitiveness of enterprises. Recently, Amazon Cloud Technology held a media communication meeting with the theme of "No Data, No Model - Data Base in the Generative AI Era". At the meeting, Li Qipeng, CEO of Beijing Lingao Technology, introduced how Vanus can help enterprises solve data problems and thus seamlessly integrate with large models. Beijing Lingao Technology is a fast-growing start-up company

Jun 01, 2024 pm 12:48 PM

生成式AI亚马逊云科技数据基座Vanus

Cloud native transformation, how does the Java framework cope with new challenges?

The cloud-native transformation brings new challenges to Java frameworks, including: service discovery, container lifecycle management, immutable infrastructure, elasticity, scalability, high availability, and reactive programming. To address these challenges, the Java framework provides service discovery tools (such as Eureka, Consul), container orchestration integration (such as Kubernetes, DockerCompose), elastic mechanisms (such as circuit breaker mode, retry mechanism), responsive APIs (such as WebFlux), etc. Function. These capabilities enable developers to build robust and scalable cloud-native Java applications.

Jun 01, 2024 pm 12:29 PM

云原生Java

What is the application potential of Go framework in large-scale distributed systems?

The Go framework shows great potential in the development of large-scale distributed systems due to its high concurrency, memory safety, and simplicity. Their successful application in real-world cases such as Kubernetes, Apache Cassandra and HashiCorpVault further proves their advantages in handling large numbers of concurrent requests and managing massive data sets.

Jun 01, 2024 pm 12:27 PM

大型分布式系统Go 框架

Which open source alternatives offer commercial support and maintenance?

For commercial support and maintenance, enterprises can consider the following options for popular open source software: 1. Red Hat Enterprise Linux (RHEL) alternatives: CentOS, Rocky Linux (commercial support: RedHat); 2. PostgreSQL alternatives: MySQL, MariaDB (commercial support: EnterpriseDB , TimescaleDB, PostgreSQLGlobalDevelopmentGroup); 3. Kubernetes alternatives: OpenShift, RancherKubernetesEngine (commercial support: GoogleC

Jun 01, 2024 am 11:52 AM

开源支持

The first year of cloud native, the way to survive for Java frameworks

The Java framework in the cloud-native era should have the advantages of serverless deployment, quick startup, and cloud service support. SpringBoot: A lightweight open source framework with features such as serverless deployment, automatic configuration, and SpringCloud ecosystem integration. It is suitable for developing cloud-native applications. Quarkus: A lightweight, Kubernetes-native framework, optimized for Kubernetes, supporting containerization, DevOps and microservice architecture, suitable for running high-performance applications on Kubernetes. Micronaut: A high-performance, lightweight framework that uses agentless injection technology, supports reactive programming and cloud-native protocols, and is suitable for building high-throughput distributed systems.

Jun 01, 2024 am 10:55 AM

云原生Java

The self-innovation of Java framework in the cloud native era

With the rise of cloud native technology, the self-reformation of Java frameworks undergoing a self-reformation includes: Microservice architecture: Frameworks such as SpringBoot provide lightweight containers and service discovery support, accelerating the development and deployment of microservices. Containerization: Frameworks such as OpenLiberty provide native container support and achieve seamless integration with orchestration platforms such as Kubernetes. Serverless Computing: Frameworks like AWS Lambda allow developers to deploy and run code without managing the underlying infrastructure. These innovations enable Java developers to leverage cloud-native technologies to develop flexible, scalable and efficient applications.

Jun 01, 2024 am 10:51 AM

云原生Java

What are the future prospects of java framework?

Future Outlook for Java Frameworks: New Trends: Cloud Native Development Microservices Serverless Computing Technology Advances: Reactive Programming Data Streaming Processing Artificial Intelligence (AI) Integration Case Study: Building Cloud Native Microservices Applications with Spring Boot, Kubernetes, and RabbitMQ

Jun 01, 2024 am 10:50 AM

Java框架展望

Service mesh in Java microservices architecture

The main options for implementing service mesh in Java microservice architecture are: Istio service mesh: an open source service mesh developed by Google that provides a variety of functions, including service discovery and load balancing. Linkerd Service Mesh: An open source service mesh developed by Buoyant and known for its lightweight and high performance.

Jun 01, 2024 am 10:42 AM

Java服务网格

How to choose the golang framework suitable for your project

Choosing a Go framework should consider application functionality, performance requirements, scalability, community support, and license compatibility. Specific practical cases include: Web applications use Gin, Echo or Fasthttp, REST APIs with high performance requirements use gRPC or HTTProuter, concurrency-focused applications use GoConcurrencyPatterns, data processing uses GORM or Beego, which require microservice architecture and flexible license requirements. Projects use Kubernetes or Docker.

Jun 01, 2024 am 10:38 AM

框架Golang

Golang project development guide: from idea to deployment

Golang project development guide covers the complete life cycle from idea to deployment, including: Defining project goals and creating project structure Following Golang coding conventions and managing dependencies Writing modular code, unit and integration tests Consider performance testing and stress testing Local deployment or The practical case of automating containerized deployment through CI/CD shows the construction process of a simple web application, including conception, development, testing and deployment steps.

Jun 01, 2024 am 10:33 AM

Go语言项目开发

Best practices for performance tuning of Java frameworks

To optimize the performance of Java framework applications, best practices include analyzing bottlenecks, optimizing database queries, caching data, parallel processing, optimizing GC performance, reducing memory usage, and application container optimization. For example, when optimizing SpringBoot applications, application performance is significantly improved by analyzing bottlenecks, optimizing database queries, caching data, parallel processing, optimizing GC, and applying container optimization.

Jun 01, 2024 am 09:43 AM

Java框架调优

Cloud Modernization with C++: Migrating Legacy Applications to the Cloud

The best way to move legacy C++ applications to the cloud: Re-platform: Move the application code to a cloud-native platform (such as Kubernetes) and leverage cloud services. Cloudization: Deploy applications on cloud platforms and utilize cloud services without code refactoring.

Jun 01, 2024 am 09:21 AM

迁移云现代化

How does the Go framework address future technical challenges?

With the continuous development of technology, the Go framework adopts the following strategies to deal with future technical challenges: 1. Maximize concurrency; 2. Improve cloud native compatibility; 3. Integrate AI and ML; 4. Provide responsive APIs and microservices. These strategies enable developers to easily build scalable, cloud-native, AI-driven, responsive applications to meet future technology needs.

Jun 01, 2024 am 09:14 AM

Go 框架应对技术挑战

Container technology empowers Java framework: improving application portability

Container technology can improve the portability of Java framework applications by packaging applications into portable container images that can run on different platforms. Containers isolate applications and prevent interference. Containers are easy to expand to meet changing needs. Frameworks such as SpringBoot support containerized deployment and provide required tools and features. Practical cases demonstrate the use of Spring Boot to create, containerize and deploy simple REST API applications to Kubernetes, highlighting the portability advantages of container technology.

May 31, 2024 pm 10:52 PM

Java容器技术