CircuitBreaker | .NET Circuit Breaker Pattern Frameworks | Microservice library
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QUESTION
I am using both @CircuitBreaker
and @Retry
annotations on a service method. When I apply both the configurations, the retry configurations are not taking affect.
Below is the configuration:
...ANSWER
Answered 2022-Mar-13 at 18:19The default Resilience4j aspect order is
QUESTION
I am new to circuit breakers and have recently implemented them in one of my services. I was going through the documentation Resilience 4J official documentation and found two properties that we can configure for circuit breakers.
- slidingWindowSize
- minimumNumberOfCalls
Both the above properties specify the number of calls that must be made to the services to determine whether the circuit breaker should remain open or should be closed. I need to understand the subtle difference between the two properties and any relationship that they might have with each other? Should they be configured irrespective of each other or should there be a relation between the two?
Also, is there a relationship between the above two and permittedNumberOfCallsInHalfOpenState
. For instance, if I am configuring permittedNumberOfCallsInHalfOpenState
as 5 but my slidingWindowSize
/minimumNumberOfCalls
are configured as 10, then how will the circuit breaker state be re-validated? Because it needs a minimum of 10 requests before it could re-evaluate the new state for circuit breaker but we are permitting only 5 requests when it is in open-state?
ANSWER
Answered 2022-Mar-07 at 04:47This answer from the father of Resilience4j helped me:
In a production system you should not set minimumNumberOfCalls to 1. For testing it is okay, but 3 is better.
Let's assume you have minimumNumberOfCalls=3, slidingWindowSize = 10 and slidingWindowType = COUNT_BASED: That means the CircuitBreaker is calculating the failure rate and slow call rate based on the last 10 calls, as soon as 3 calls have been recorded.
Let's assume 2 calls are slow and 1 call is fast: That means the slow call rate is above 50% and the CircuitBreaker will transition to OPEN.
The minimumNumberOfCalls setting makes even more sense, if slidingWindowType = TIME_BASED and the failure rate is calculated based on the calls from the last N seconds.
As for the permittedNumberOfCallsInHalfOpenState
question, after the wait-duration-in-open-state
period is over, it goes into max-wait-duration-in-half-open-state
and will allow a max of 5 calls. As long as the threshold is not met/exceeded, the circuit will close. It does not depend on the slidingWindowSize
/minimumNumberOfCalls
as per here.
The CircuitBreaker rejects calls with a CallNotPermittedException when it is OPEN. After a wait time duration has elapsed, the CircuitBreaker state changes from OPEN to HALF_OPEN and permits a configurable number of calls to see if the backend is still unavailable or has become available again. Further calls are rejected with a CallNotPermittedException, until all permitted calls have completed. If the failure rate or slow call rate is then equal or greater than the configured threshold, the state changes back to OPEN. If the failure rate and slow call rate is below the threshold, the state changes back to CLOSED.
P.S If you don't configure any property, the default value is used as per here.
QUESTION
When changing to Quarkus 2.6.2.Final I suddenly run into: org.eclipse.microprofile.faulttolerance.exceptions.CircuitBreakerOpenException
(circuit breaker is open) when running (unit / integration) test annotated with @QuarkusTest
.
I changed other stuff except the Quarkus baseline, so I don't know for sure the update is the sole cause.
...ANSWER
Answered 2022-Jan-18 at 15:51This is not caused by the update, Quarkus 2.6.2.Final did not change anything regarding the fault tolerance stuff.
To facilitate negative testing, you can inject CircuitBreakerMaintenance
and reset all circuit breakers in the application using resetAll
(see https://smallrye.io/docs/smallrye-fault-tolerance/5.2.1/usage/extra.html#_circuit_breaker_maintenance).
Alternatively, there's a configuration property that disables all fault tolerance except fallbacks: MP_Fault_Tolerance_NonFallback_Enabled
(see https://download.eclipse.org/microprofile/microprofile-fault-tolerance-3.0/microprofile-fault-tolerance-spec-3.0.html#_disable_a_group_of_fault_tolerance_annotations_on_the_global_level).
QUESTION
I am facing an authentication issue in a reactive Spring Boot application using OAuth2 and AWS Cognito. Namely, I configured my app like it's suggested in post here but the problem is that the default login page is failing while authentication attempts or visits.
For redirect-uri
=http://localhost:8080/login/oauth2/code/cognito I am getting For redirect-uri
=https://fitnesstest.auth.eu-central-1.amazoncognito.com/login/cognito I am receiving
An error was encountered with the requested page.
Funnily enough, I can receive the tokens via postman for the below client-id, client-secret and callback URL but somehow from the spring boot application, it's not possible.
my first approach of application.properties look like:
...ANSWER
Answered 2021-Dec-24 at 17:31Turned out that there is a chance to debug Invalid credentials
error for OAuth2 approach. After a suggestion from https://stackoverflow.com/a/62917085/10596295, I debugged the application and realized that there is a problem with the property user-name-attribute
.
My final version of application.yml looks like this:
QUESTION
We have set our Kafka Connect to be able to read credentials from a file, instead of giving them directly in connector config. This is how a login part of connector config looks like:
"connection.user": "${file:/kafka/pass.properties:username}",
"connection.password": "${file:/kafka/pass.properties:password}",
We also added these 2 lines to "connect-distributed.properties" file:
config.providers=file
config.providers.file.class=org.apache.kafka.common.config.provider.FileConfigProvider
Mind that it works perfectly for JDBC connectors, so there is no problem with the pass.properties file. But for other connectors, such as couchbase, rabbitmq, s3 etc. it causes problems. All these connectors work fine when we give credentials directly but when we try to make Connect to read them from a file it gives some errors. What could be the reason? I don't see any JDBC specific configuration here.
EDIT:
An error about couchbase in connect.log:
...ANSWER
Answered 2021-Dec-03 at 06:17Looks like the problem was quote marks in pass.properties file. The interesting thing is, even if credentials are typed with or without quote marks, JDBC connectors work well. Maybe the reason is it is the first line in the file but just a small possibility.
So, do NOT use quote marks in your password files, even if some of the connectors work this way.
QUESTION
I have a problem with FeignClient. I am deployed Spring Boot applications, I get an error in a call to a specific feign client, the error comes up when I use a registration microservice when wanting to communicate with a specific method of a user microservice, with other methods the problem does not occur, I also have a Eureka server for discovery and a gateway with Spring Cloud Gateway, configured with the configuration for permissions. I have @EnableEurekaClient and @EnableFeignClients in applications and they can be seen on the Eureka server, and implements CircuitBreaker with resilience4j. For testing I use postman.
for a request:
Without CircuitBreaker I get this error
...ANSWER
Answered 2021-Nov-20 at 10:05You have a few options here but let me clarify why this happens. Feign is an HTTP binder for your APIs. In normal cases when you communicate backend-backend, the de-facto accepted HTTP status codes are 2xx
to indicate that everything worked as expected. When an API reponds with a 3xx
(302
in your case), that indicates a redirect which is usually used to instruct the browser to redirect the user to another page upon doing something.
Anyway, now that we've cleared why this could happen, let's see why your Feign client behaves this way. All Feign clients have a configuration parameter called follow-redirects
. This controls whether upon receiving a 3xx
HTTP response, the Feign client should automatically try to call the API specified in the response's Location
header.
By default this parameter is set to true, meaning that redirects will be followed and it will be transparent for you, as a client user. From the exception, I think you somehow disabled it or you might use an HTTP client for which you disabled the redirect following manually.
Although I can clearly see from your implementation in the preguntarUsuarioExiste
method that you're trying to decide whether a user exists in the system or not. In this case the 302 HTTP Found
status doesn't make sense even though I understand why you'd want to use that (cause the term reflects that the user exists).
In this case, I'd simply remove the fixed 302
status with the @ResponseStatus
annotation and change the API to return a ResponseEntity
instead to resolve the status code dynamically. Something like this:
QUESTION
In case that Kafka server is (temporarily) down, my Spring Boot application ReactiveKafkaConsumerTemplate
keeps trying to connect unsuccessfully, thus causing unnecessary traffic and messing the log files:
ANSWER
Answered 2021-Nov-10 at 14:47See https://kafka.apache.org/documentation/#consumerconfigs_retry.backoff.ms
The base amount of time to wait before attempting to reconnect to a given host. This avoids repeatedly connecting to a host in a tight loop. This backoff applies to all connection attempts by the client to a broker.
and https://kafka.apache.org/documentation/#consumerconfigs_reconnect.backoff.max.ms
The maximum amount of time in milliseconds to wait when reconnecting to a broker that has repeatedly failed to connect. If provided, the backoff per host will increase exponentially for each consecutive connection failure, up to this maximum. After calculating the backoff increase, 20% random jitter is added to avoid connection storms.
and
QUESTION
In Resilience4J for spring boot what is the use of registerHealthIndicator: true ?
The document https://resilience4j.readme.io/docs/getting-started-3#health-endpoint says if we configure as below in application.yml we can see the status of circuit breakers in health endpoint.
...ANSWER
Answered 2021-Nov-01 at 12:37In order to see detailed information in the /health
endpoint you need to change the property management.endpoint.health.show-details
configuration. It defines when to show full health details and by default its value is never
. You need to actually configure it as always
as follows:
QUESTION
What's the correct way to modify the Duration Break on Polly? I know in the documentation they mention implementing (PolicyRegistry). Is there any example of this? I was implementing Polly CircuitBreaker in one WinService.
...ANSWER
Answered 2021-Oct-18 at 15:37Circuit Breaker was not designed to use different sleep duration whenever it breaks.
In case of Retry you have the ability to provide a function, called sleepDurationProvider
which is called by the policy to determine the actual sleep duration before issuing the next attempt.
So, in short by design it is not supported. I will show you a workaround, but I do not recommend to use it. I will provide a reasoning after the sample code.
For the sake of simplicity let's have the following method:
QUESTION
I coded a resilience strategy based on retry, and a circuit-breaker policies. Now working, but with a issue in its behavior.
I noticed when the circuit-breaker is on half-open
, and the onBreak()
event is being executed again to close the circuit, one additional retry is triggered for the retry policy (this one aside of the health verification
for the half-open
status).
Let me explain step by step:
I've defined two strongly-typed policies for retry, and circuit-breaker:
...ANSWER
Answered 2021-Oct-13 at 07:39With Polly.Context you can exchange information between the two policies (in your case: Retry and Circuit Breaker). The Context is basically a Dictionary
.
So, the trick is to set a key on the onBreak
then use that value inside the sleepDurationProdiver
.
Let's start with inner Circuit Breaker policy:
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