They are two types of cross-cutting concerns: Technical and Business. I wrote a  whole article about Tracing messages in Choreography with Sleuth and Zipkin if you would like to know more about this topic. Business cross-cutting concerns must be executed within the business context as they are related to the particular line of business. Authentication / Authorization. … The following are examples of the cross-cutting concerns … Again, as long as you are not forcing others to use it. Technical Cross-Cutting Concerns When building an application, there is a functional requirement, and normally there is always a non-functional requirement that is created to address all … I agree with you, but someone needs to take care of it. s3 is a cloud storage service from AWS (Amazon). The engineering team can concentrate the effort and won’t be distracted from varying heterogeneous platforms. Examples of cross-cutting concerns … For example, logging, tracing, metrics, and security, etc. Canary Release. The name – e4 comes from a chess move, this is how I start most of my games. If your organization has less than 4000 engineers, it is recommended to use only one language. If you are ever going that approach, it is better to pick up an open-source chassis to do so. Despite all that independence, things such as log aggregation and security benefit from a system level thinking. Blue/Green Deployment and Red/Black Deployment. How to verify if a request is authentic- do we just limit the possible callers and assume that they have a right to execute anything? Create Organizational Efficiencies. In the long run, it would be better to have a hybrid approach supported by an open-source platform that integrates with the service mesh natively. Which Java JDK should I use? In order to deal with concerns like that I recommend that you consider: I hope this was an interesting read. If your organization can standardize the platform, then it is the most cost-effective approach. Some of the questions worth asking are: Regardless of how you look at the problem, it makes little sense to make separate decisions, to answer these questions differently for each service. In this approach, the developer writes the service without thinking about any cross-cutting concerns; the service mesh in other containers will address them separately. In the light platform, we have several middleware handlers that talks to CA Layer 7 and RedHat 3 Scale gateways. The number is calculated based on the number of engineers and official languages in Google. Simplest deployment with less component and standard configuration management, High cost of developing and maintaining the chassis, All services have to be built on top of the same chassis, Higher cost of upgrade the chassis as it is part of the service. However, the amount of effort to support an extra language to build services is immense. Cross-cutting concerns or gateway offloading. Summary. Cross-cutting concerns: Microservices require handling cross-cutting concerns such as externalized configuration, logging, health checks, metrics, service registration and … Technical cross-cutting concerns work regardless of what kind of industries or businesses. The importance of performance. In this article, I will discuss these concerns and give my advice on how to approach them. Easy to upgrade without touching the service container. You can create a shared Client API library that is versioned and maintained well. They form the basis for the development of aspects. The first thing worth thinking about is the approach to the authorization and authentication within the system. In this approach, the developer writes the service without thinking about any … There are three options to address cross-cutting concerns when deploying microservices on the cloud: Chassis, Service Mesh, and Hybrid, which combines both Chassis and Service Mesh. It is a good idea to choose an open-source chassis with the flexibility to plugin your business cross-cutting concerns to make a customized platform. I don’t fully agree here. Background. It is required for any application but it is not necessary from the business point of view, it is a simple generic functionality we have to implement in many places in the application. Handling cross-cutting concerns early on is critical in order to avoid counter-productive consequences, such as feeding the monolith instead of shrinking it or reimplementing cross-cutting … In general, a tool like ELK stack (Elasticsearch, Logstash, Kibana) is invaluable once your microservices move from development into production. Some of them are truly independent when every microservice is nearly indistinguishable from a third-party API, other- because of either necessity or practicality, rely on shared infrastructure or concepts. It turns out that when you deliver a system as a whole, even autonomous and independent teams should sometimes talk to each other! If logging is considered as the candidate for cross cutting concerns then how do you manage these in Microservices? Most importantly, these middleware handlers and plugins should be configured transparently by the operation team instead of developers. Some of the frameworks use code or annotation to wire in cross-cutting concerns, and it put a lot of pressure to the developers. There are different kinds of microservices systems. I can’t possibly tell you enough about configuration management here, so I strongly advise you to research this area. Many developers will tell you – absolutely no! Service Mesh. “…Yes! I found that in microservices architecture, these interactions can be very brittle if not tested properly. Service Discovery and Load Balancing are the two very common practices that should be employed here. Advice given here does not give you the mandate to stop being critical! It is the ideal platform to plug in your business cross-cutting concerns to make it a customized platform for your particular industry. Monitoring tools mentioned: Prometheus and Data … Performance Considerations. Tips for “whiteboard” and “paper” coding interviews, Simulating the Secretary Problem with Java, Tracing messages in Choreography with Sleuth and Zipkin, Code reuse in microservices architecture – with Spring Boot, Introduction to Concurrency in Spring Boot, Designing an Object Oriented Chess Engine in Java, Spring's WebFlux / Reactor Parallelism and Backpressure, The Phoenix Project - a key to understanding DevOps, Setting up RabbitMQ with Spring Cloud Stream, Java 9 to 12 - all the language modifications, Reddit API Authentication with Java/Spring. If you can think about other cross-cutting concerns that come up in microservices architectures a lot, let me know on twitter or in the comments! Building on the shoulders of these giants, here is a list of cross-cutting concerns that a cloud native solution should address: Service discovery: service instances are created … These are factors that sit across any application (“cutting across them”) and generally focus on the non-functional aspects of software development.