𝑨𝒅𝒅𝒊𝒏𝒈 𝑺𝒕𝒆𝒓𝒐𝒊𝒅𝒔 𝒕𝒐 𝒚𝒐𝒖𝒓 𝒆-𝑹𝒆𝒄𝒉𝒂𝒓𝒈𝒆 𝑩𝒖𝒔𝒊𝒏𝒆𝒔𝒔 𝑼𝒑𝒈𝒓𝒂𝒅𝒆 𝒕𝒐 𝒇𝒖𝒕𝒖𝒓𝒆-𝒓𝒆𝒂𝒅𝒚 𝑪𝒍𝒐𝒖𝒅 𝑵𝒂𝒕𝒊𝒗𝒆 𝑴𝒊𝒄𝒓𝒐𝒔𝒆𝒓𝒗𝒊𝒄𝒆𝒔 Loosely coupled services in a Microservices architecture enable swift changes in business logic to meet changing business requirements. The plug & play capability of a Microservices application architecture makes more accessible and faster application development and upgrades possible. In a microservices architecture, any application can be divided into multiple small services, where each service runs a unique process and usually manages its own database. A service can generate alerts, log data, support user interfaces (UIs), handle user identification or authentication, and perform various other tasks. Developers can quickly build or change an individual Microservice, then plug it into the main architecture with a low risk of coding conflicts and service outages. Moreover, due to the independence of each microservice, teams do not have to worry about coding conflicts or wait for slower-moving sub-projects to complete before launching their part of the application. Microservices also support the CI/CD/CD (Continuous Integration, Continuous Delivery, Continuous Deployment) development philosophy. This means that businesses can quickly deploy the core microservices of an application, as a minimum viable product (MVP), and then continuously update the product over time as additional Microservices get completed. The result is a “future-proof” product that’s constantly & quickly evolving with the times. Three main factors make microservices viable software architecture. 1. Containers enable a consistent and resource-efficient means of packaging individual services. Docker is a popular tool. 2. Orchestration tools, such as Kubernetes, help with automating scaling, deployment, and container management. 3. Service mesh is a layer of infrastructure dedicated to communication between individual services. When hundreds of services communicate with each other, it becomes complicated to determine which services are interacting with each other. Service mesh makes those communications faster, more secure, visible, and reliable by capturing behaviors such as latency-aware load balancing and service discovery. Learn more: https://bit.ly/3NsTRbn #business #data #management #software #communication #infrastructure #cloud #development #future

1. Adding Steroids to your e-Recharge Business
Upgrade to future-ready Cloud Native Microservices
Loosely coupled services in a Microservices architecture enable swift changes in business logic
to meet changing business requirements. The plug & play capability of a Microservices
application architecture makes more accessible and faster application development and
upgrades possible.
In a microservices architecture, any application can be divided into multiple small services,
where each service runs a unique process and usually manages its own database. A service can
generate alerts, log data, support user interfaces (UIs), handle user identification or
authentication, and perform various other tasks.
Developers can quickly build or change an individual Microservice, then plug it into the main
architecture with a low risk of coding conflicts and service outages. Moreover, due to the
independence of each microservice, teams do not have to worry about coding conflicts or wait
for slower-moving sub-projects to complete before launching their part of the application.
Microservices also support the CI/CD/CD (Continuous Integration, Continuous Delivery,
Continuous Deployment) development philosophy.
This means that businesses can quickly deploy the core microservices of an application, as a
minimum viable product (MVP), and then continuously update the product over time as
additional Microservices get completed. The result is a “future-proof” product that’s constantly
& quickly evolving with the times.
Three main factors make microservices viable software architecture.
1. Containers enable a consistent and resource-efficient means of packaging individual
services. Docker is a popular tool.
2. Orchestration tools, such as Kubernetes, help with automating scaling, deployment, and
container management.
3. Service mesh is a layer of infrastructure dedicated to communication between individual
services. When hundreds of services communicate with each other, it becomes
complicated to determine which services are interacting with each other. Service mesh
makes those communications faster, more secure, visible, and reliable by capturing
behaviors such as latency-aware load balancing and service discovery.