PFLB的动态

?? Enhance Your Applications with Scalable Microservices ?? Discover the power of scalable, distributed applications with us. Elevate your microservices infrastructure to create efficient, robust, and high-performing applications. Join us as we empower your organization to build robust, scalable, and high-performing microservices applications. https://lnkd.in/dGMQUGHx Amit Sharma PMP? TOGAF? 9 #Microservices #Scalability #HighPerformance #TechBlog

6 key challenges in building secure microservices and a few best practices. By Manas Chowdhury, thanks to AccuKnox | #Microservices #MultiCloud

Let's explore how #APIs amplify the power of microservices, focusing on key principles of designing,?? automating,?? and managing APIs to optimize performance and scalability. ?? https://bit.ly/3UoQSH9

Microservice Architecture ?? Microservices break down software into modules with detailed interfaces and specialized functions. ?? Scalability: Microservices allow individual components of an application to be scaled independently. This means you can allocate resources precisely where they're needed. ?? Flexibility: Each microservice can be developed, deployed, and updated independently. This modularity accelerates development cycles. ?? Resilience: Microservices enhance application resilience. If one service fails, it doesn’t bring down the entire system. This isolation of services ensures higher availability and reliability. ?? Technology Agnostic: Different microservices can be built using different technologies best suited for the task. This flexibility means you can leverage the best tools and languages for each service. ?? Ease of Maintenance: Smaller, manageable codebases for each microservice make it easier to debug, test, and maintain. This reduces technical debt and enhances the overall quality of the application. While a microservices architecture has numerous benefits for the proper use case, the transition can be complex. The end goal of migrating to microservices is to implement a distributed, loosely coupled, and independent framework. #microservice #serverless #cloud

?? From Legacy To Cutting Edge - Developing Applications With Kubernetes ?? As technology evolves, so do the demands on our systems. Legacy applications, though reliable in their time, often age into obstacles that hinder innovation, scalability, and security. To stay competitive in the rapidly changing digital landscape, many organisations are utilising Kubernetes to modernise their legacy applications. Here are our top three reasons to consider Kubernetes for breathing new life into ageing systems: ?? Scalable Growth: Kubernetes helps legacy systems scale easily, supporting modern architectures that boost agility and speed up innovation. ?? Increased Reliability & Security: Kubernetes improves system reliability with automatic recovery and built-in security, ensuring your applications are secure and resilient. ?? Cost Savings & Flexibility: Kubernetes optimises resources, reducing costs, and allows your applications to run smoothly across cloud and on-premise setups, giving you more flexibility. Want to learn more about legacy applications and how Kubernetes helps? Read our blog here to learn more: https://lnkd.in/gxmxpRbf #Kubernetes #LegacyModernisation #CloudComputing #DevOps #DigitalTransformation

#Serverless vs #Microservices ? #Architecture: ? Serverless: Event-driven, functions as a service (FaaS), each function runs in response to specific triggers. ? Microservices: Service-oriented, larger applications broken into small, independently deployable services. ? #Scalability: ? Serverless: Automatically scales based on demand. No need to manage infrastructure. ? Microservices: Requires custom scaling for individual services, usually handled by DevOps. ? #Infrastructure Management: ? Serverless: No infrastructure management; the cloud provider manages servers. ? Microservices: Infrastructure needs to be provisioned and managed by the development team. ? #Deployment: ? Serverless: Deploys individual functions without worrying about server configuration. ? Microservices: Deploys services independently, but requires container orchestration (e.g., Kubernetes). ? #Cost Model: ? Serverless: Pay-per-use, only charged for actual execution time of functions. ? Microservices: Fixed costs for running services, regardless of usage. ? #Use Case: ? Serverless: Best for short-lived, stateless functions and applications with unpredictable workloads. ? Microservices: Ideal for large, complex applications that need scalability and flexibility in specific components. ? #Latency: ? Serverless: May experience cold-start latency when functions are triggered after inactivity. ? Microservices: Generally has lower latency due to always-on services, but resource-heavy services may need optimization.

What is a microservice? A microservice is an architectural style that structures an application as a collection of small, independent services, each designed to perform a specific function. These services communicate over a network, typically using #APIs. This approach allows for easier scaling, faster development, and greater flexibility, as each microservice can be developed, deployed, and maintained independently. Read More About Microservices https://okt.to/74FzHJ #FinastraPayments #FutureOfPayments #Microservices #openstack

Is your business embracing microservices? Then robust monitoring is a must to ensure optimal performance and detect issues before they escalate. Learn more in our insightful guide. https://gag.gl/wGrW2n

Is your business embracing microservices? Then robust monitoring is a must to ensure optimal performance and detect issues before they escalate. Learn more in our insightful guide. https://gag.gl/wGrW2n

Is your business embracing microservices? Then robust monitoring is a must to ensure optimal performance and detect issues before they escalate. Learn more in our insightful guide. https://gag.gl/wGrW2n