How different microservice integration patterns can impact your architecture

When the world wide web first emerged, integrating different types of operating systems was a core challenge. Hypertext transfer protocol (HTTP) created communication channels by sharing hypertext, these systems started speaking a common language over an accepted protocol, and the internet as we know today was born. When creating a microservices architecture, the integration challenges

Principles for microservices integration

Out of the many advantages of microservices, the most significant motivations are scale and autonomy for business units. These go hand in hand. However, we still need to create an integrated experience that makes sense for the end user. It’s important to keep both these aims in mind when developing strategies for the interactions between

Monolithic vs Microservices

Strengths of Monolotic Architecture Easier Debugging and End-to-End Testing: Unlike Microservice Architecture, Monolithic Applications are much easier to debug and test. Since a Monolithic Application is a single indivisible project, you can perform end-to-end tests much faster. Easy Deployment: One advantage associated with the Monolithic Applications being a single piece is easy distribution. Deploying a single part is much easier than deploying dozens of services. It is

Microservices

In short, a microservice building style is a way to build a single system as a bundle of small services, each running its own process and interacting with lightweight processes, usually an APT for HTTP resources. These services are built on business skills and operate independently with automated transmission systems. There is a small centralized

Reasons for Excessive Log Growth

There are several reasons for excessive log growth. Please go through the below possible reasons. Operating a database in FULL recovery model, without taking log backups Performing index maintenance Index maintenance operations are a very common cause of excessive transaction log usage and growth, especially in databases using the FULL recovery model. The amount of
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