Let's implement them one by one. First, let's check that the request has an idempotency key. Note that we can configure the plugin on a per-route basis, so if the route includes the plugin, we can conclude that it's mandatory. function _M.access(conf, ctx) local idempotency_key =...
In that case, the client doesn’t know the current server state, so is it fine to just try again? The answer for the these questions rely on two well-defined concepts: safety and idempotency. In the context of HTTP, safety means that a given request will not produce any changes in ...
Lack of idempotency. Trying to do everything ACID instead of BASE. Lack of design for fault tolerance may result in cascading failures. Beware of the distributed monolith Distributed Monolith is a system that resembles the microservices architecture but is tightly coupled within itself like a monolit...
" consisting of a set of JSON files, pull together these resources and define the desired state of the final platform. Puppet stores manifests on the servers and uses them to create compiled configuration instructions as needed, feeding them to the agents via REST APIs....
Note that in the sample application, the order service simulates the process of handling an order but it illustrates good practice for handling idempotency and eventual consistency when you need to implement operations that span non-transactional data stores. The order service is described in detail...
In infrastructure automation, idempotency means to reach a specific end state that remains the same, no matter how many times the process is executed. So when you are preparing to automate your procedures, keep the desired result in mind and write scripts and commands that will achieve them con...
Simple to implement Easier to manage Data consistent Disadvantages Risk of high downtime Harder to upgrade Can be a single point of failure Horizontal scaling Horizontal scaling (also known as scaling out) expands a system's scale by adding more machines. It improves the performance of the server...
Simple to implement Easier to manage Data consistent Disadvantages Risk of high downtime Harder to upgrade Can be a single point of failure Horizontal scaling Horizontal scaling (also known as scaling out) expands a system's scale by adding more machines. It improves the performance of the server...
Simple to implement Easier to manage Data consistent Disadvantages Risk of high downtime Harder to upgrade Can be a single point of failure Horizontal scaling Horizontal scaling (also known as scaling out) expands a system's scale by adding more machines. It improves the performance of the server...
Simple to implement Easier to manage Data consistent Disadvantages Risk of high downtime Harder to upgrade Can be a single point of failure Horizontal scaling Horizontal scaling (also known as scaling out) expands a system's scale by adding more machines. It improves the performance of the server...