Deploy microservices one of the most frequent issues we encounter as an IT solutions provider when talking about the unique IT needs of different businesses (from SMEs to multinationals) is microservices deployment.
The deployment of microservices is of greater concern to business decision-makers. That is because using microservices when developing apps has several advantages, including faster, more agile, and more scalable applications.
However, microservices deployment is more complicated. Successful and efficient microservice deployment requires both strategic and tactical thinking. Here is a summary of a few tactics you can use to successfully install microservices in the context of your company’s IT environment.
From simple to complex, here are the four ways to Deploy microservices:
- A/B Testing
The main goal of A/B testing is to gauge the user acceptability of a specific feature. It can assist developers in gathering user feedback and figuring out how well-liked a particular feature is among users. Additionally, developers can learn how people felt about a certain service and their comments.
Software routing is used in A/B testing to activate and test a specific feature across different target user segments. Additionally, it entails rolling out the functionality to a select group of users or a certain proportion of people. Traffic may be sent to different builds of the programmed using the A and B routing segments. Or, the service instance can be running the same program but with different configuration settings.
The technique is quite a bit like canary deployments, which is exactly the next microservices deployment strategy we’ll talk about.
2. Multiple Service Instances per Host
In this style of method, which has historically been utilized for the Numerous Service Instances per Host pattern of application deployment, developers provision one or more physical or virtual hosts and run multiple instances on each. Because the different service instances use the same server operating system, the approach works well because it enables efficient storage use.
As the deployers merely need to copy the service to a host and run it, the deployment procedure is fairly short. Additionally, the lack of overheads makes this pattern’s hassle-free service start possible.
3. Serverless Deployment
Services are packaged as a zip file for serverless deployment, and they are then uploaded to the Lambda function. To automatically handle instances, the function runs microservice instances. It is more economical because you just pay for the requests that you receive. Long-running services, however, cannot use server-less deployment. You will therefore need a specialist to determine whether the plan is appropriate for your objectives.
4. Blue-Green Deployment
A simple minimal downtime method is blue-green. While the target service is active, it refers to setting up an identical service with a comparable capacity and switching the traffic at the load balancer to the new service.
There are a few additional advantages in addition to the little downtime. For instance, you are not required to design your service to support running multiple versions concurrently. Additionally, it allows for quick reaction by rerouting traffic to the earlier deployment. Nevertheless, until the traffic is switched back, a failure affects all users. Additionally, you will be responsible for the cost of maintaining two identical sets of services.
