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Technical Articles

Operation and Maintenance

What are the future trends in deploying PHP applications on the cloud?

The future trend of deploying PHP applications in the cloud: the rise of serverless computing, which provides a PHP code running platform without server management. The popularity of containerization simplifies the deployment and management of PHP applications in the cloud, and achieves isolation and encapsulation. Edge computing integration moves computing and storage closer to data sources to reduce latency. The rise of JAMStack architecture uses static site generators, APIs and serverless functions to build fast and secure web sites, and PHP can be used as the API middle layer. Multi-cloud deployments increase, improving availability, redundancy and cost optimization.

May 06, 2024 pm 04:06 PM

php 云部署 docker

What are the best practices for managing PHP cloud deployments using GitOps?

Best practices for using GitOps to manage PHP cloud deployments include using Git as the only source of configuration to maintain consistency and reduce errors. Create a GitOps pipeline, including build, test, and deployment steps. Use CI/CD tools to automate deployment and allow teams to focus on development tasks. Specify desired state, simplify changes and ensure consistency using declarative deployment technology. Use canary deployment to gradually update the production environment to reduce the impact and risk on users.

May 06, 2024 pm 03:18 PM

php gitops git docker

PHP distributed system architecture and practice

PHP distributed system architecture achieves scalability, performance, and fault tolerance by distributing different components across network-connected machines. The architecture includes application servers, message queues, databases, caches, and load balancers. The steps for migrating PHP applications to a distributed architecture include: Identifying service boundaries Selecting a message queue system Adopting a microservices framework Deployment to container management Service discovery

May 04, 2024 am 10:33 AM

php 分布式系统 laravel docker 库存管理

Detailed explanation of PHP cloud native technology application

Cloud native technologies are a set of practices and technologies for cloud computing environments designed to improve application portability, scalability, and resiliency. Cloud-native technologies in PHP include: Docker: Create and run containers. Kubernetes: Manage and orchestrate containers. Istio: Service mesh that provides secure connections and traffic management. Helm: Deploy and manage Kubernetes applications.

May 03, 2024 am 11:30 AM

云原生 php docker composer

Best practices for continuous integration and continuous deployment of PHP functions

Best practices: Continuous integration: automated testing, code linters, code coverage checks. Continuous deployment: version control, CI/CD tools, deployment pipelines. Practical case: Jenkins+Docker: Build container images and automate deployment. GitLabCI+Kubernetes: Serverless function deployment, using Helm or kubectl. Benefits: Improve code quality, speed up deployment, reduce errors, and enhance team collaboration

May 02, 2024 am 11:57 AM

php 持续集成 git docker

How to use a container orchestration system to optimize the deployment environment to improve the performance of Java functions?

By using a container orchestration system, especially Kubernetes, the deployment environment for Java functions can be significantly optimized. It provides the following benefits: Resource Isolation: Prevents resource contention and ensures optimal performance. Autoscaling: Adjust resources based on load to improve availability. Rolling Updates: Maximize availability and reduce deployment time. Health check: monitor operating status and restart or replace in time. Failover: Automatic migration in the event of a failure to ensure high availability.

Apr 29, 2024 pm 02:27 PM

java 容器编排

What is the future of Java functions? What are the new technologies and trends?

Java functions are constantly evolving with the emergence of new technologies such as serverless computing, Kubernetes, GraalVMNativeImage, and Quarkus. These technologies bring the following benefits: Serverless computing: Reduce costs, increase scalability, and simplify development and deployment. Kubernetes: Improves portability, simplifies deployment and management, and provides automatic failover and self-healing capabilities. GraalVMNativeImage: Significantly improves startup time, reduces memory overhead, and improves performance. Quarkus: Lightweight and scalable, works out-of-the-box in serverless environments and provides full-stack development capabilities.

Apr 29, 2024 am 11:18 AM

趋势 java 新技术容器化应用高可扩展性

Practical implementation of container deployment of golang functions

Answer: Yes, this article provides a step-by-step guide on how to deploy Go functions to Kubernetes containers, including: Create Go functions Build Docker images Deploy to Kubernetes Practical cases

Apr 28, 2024 pm 03:39 PM

golang 容器部署 docker

An article explaining how Ethereum Reth achieves 1GB gas per second

How does Ethereum Reth achieve 1GB gas per second? We started building Reth in 2022 to provide elasticity for Ethereum L1 while solving the execution layer scaling problem on L2. Today, we’re excited to share how Reth plans to achieve 1GB gas per second L2 throughput in 2024, and our long-term roadmap for how to exceed that goal. We invite the entire ecosystem to join us in pushing the performance frontier and rigorous benchmarking in crypto. Today, the editor of this website will give you a detailed introduction to how Reth achieves 1GB gas per second. Friends who like Ethereum Reth should not miss it! 1. Have we achieved scale? For cryptocurrencies to reach global scale, they must avoid speculation (becoming

Apr 28, 2024 pm 12:46 PM

以太坊 reth 区块链

What are the integration considerations for Java functions with Docker?

Things to consider when integrating Java functions with Docker: Make sure the Docker image supports running Java applications. Use Docker environment variables to configure Java settings in the container environment. Specify a mapping between container and host ports to enable external access to Java functions. Use Docker resource limits to control the CPU and memory used by containers. Use volume mounts to mount files and directories on the host into a container. The Docker build process should package Java code, dependencies, and container configuration, and then deploy it through an orchestration tool such as Docker Compose or Kubernetes.

Apr 24, 2024 pm 03:15 PM

docker java

Three secrets for deploying large models in the cloud

Compilation|Produced by Xingxuan|51CTO Technology Stack (WeChat ID: blog51cto) In the past two years, I have been more involved in generative AI projects using large language models (LLMs) rather than traditional systems. I'm starting to miss serverless cloud computing. Their applications range from enhancing conversational AI to providing complex analytics solutions for various industries, and many other capabilities. Many enterprises deploy these models on cloud platforms because public cloud providers already provide a ready-made ecosystem and it is the path of least resistance. However, it doesn't come cheap. The cloud also offers other benefits such as scalability, efficiency and advanced computing capabilities (GPUs available on demand). There are some little-known aspects of deploying LLM on public cloud platforms

Apr 24, 2024 pm 03:00 PM

语言模型云端 llms 安全传输

What are the best practices for debugging Java functions in a continuous integration/continuous delivery environment?

Best practices for debugging Java functions in a continuous integration/continuous delivery environment include: Enable logging: trace execution flow and flag errors. Real-time log monitoring: View centralized dashboards to quickly detect and track errors. Enable breakpoint debugging: pause code execution to inspect variable values and stack traces. Use the debugger: Connect remotely to a running Java process and step through the code to gain insight into function behavior.

Apr 24, 2024 am 10:15 AM

java调试日志监控作用域

How do Java functions relate to container technology?

The integration of Java functions and container technology provides new opportunities for application development. By deploying Java functions in containers, developers gain the benefits of portability, resource isolation, and scalability. Specific implementation steps include: creating a Java function class that implements the java.util.function.Function interface. Add annotations to functions using the SpringCloudFunction framework. Create a Dockerfile specifying the image and port of the Java function. Use the kubectl command to deploy Java functions to the Kubernetes cluster.

Apr 23, 2024 am 11:27 AM

java 容器技术 docker

How to start a nodejs project

To start a Node.js project, follow these steps: Install Node.js. Install project dependencies. Create a "start" script in package.json. Run the startup script (npm start or yarn start). View project output. Additionally, you can use the nodemon or forever packages to automatically reload or background run applications.

Apr 21, 2024 am 06:18 AM

nodejs docker