backoff | ⏱ The exponential backoff algorithm in Go
kandi X-RAY | backoff Summary
kandi X-RAY | backoff Summary
This is a Go port of the exponential backoff algorithm from Google's HTTP Client Library for Java. Exponential backoff is an algorithm that uses feedback to multiplicatively decrease the rate of some process, in order to gradually find an acceptable rate. The retries exponentially increase and stop increasing when a certain threshold is met.
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Lines of Code : 14License : Non-SPDX
Copyprivate static void errorWithRetryExponentialBackoff() throws Exception {
final var retry = new RetryExponentialBackoff<>(
new FindCustomer("123", new CustomerNotFoundException(NOT_FOUND)),
6, //6 attempts
30000, // Community Discussions
Trending Discussions on backoff
QUESTION
I am trying to use @RetryableTopic for unblocking retries and topicPartitions in order to read messages from beginning.
Below is my listener (I have only one partition):
...ANSWER
Answered 2022-Apr-07 at 13:32That's a bug. The problem is we set the retry topic name to the topics property of the endpoint, instead of setting it to the topicPartition. So we end up with two listeners for the main endpoint and none for the retry topic.
If you can please open an issue: https://github.com/spring-projects/spring-kafka/issues
Not sure there's a workaround for this using topic partitions - it should be fixed in the 2.8.5 release in a couple of weeks.
Thanks for reporting.
QUESTION
I'm trying to deploy a simple REST API written in Golang to AWS EKS.
I created an EKS cluster on AWS using Terraform and applied the AWS load balancer controller Helm chart to it.
All resources in the cluster look like:
...ANSWER
Answered 2022-Mar-15 at 15:23A CrashloopBackOff means that you have a pod starting, crashing, starting again, and then crashing again.
Maybe the error come from the application itself that it can not connect to database, redis,...
You may find something useful here:
My kubernetes pods keep crashing with "CrashLoopBackOff" but I can't find any log
QUESTION
I'm trying to setup a Google Kubernetes Engine cluster with GPU's in the nodes loosely following these instructions, because I'm programmatically deploying using the Python client.
For some reason I can create a cluster with a NodePool that contains GPU's
...But, the nodes in the NodePool don't have access to those GPUs.
I've already installed the NVIDIA DaemonSet with this yaml file: https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/nvidia-driver-installer/cos/daemonset-preloaded.yaml
You can see that it's there in this image:
For some reason those 2 lines always seem to be in status "ContainerCreating" and "PodInitializing". They never flip green to status = "Running". How can I get the GPU's in the NodePool to become available in the node(s)?
Update:Based on comments I ran the following commands on the 2 NVIDIA pods; kubectl describe pod POD_NAME --namespace kube-system.
To do this I opened the UI KUBECTL command terminal on the node. Then I ran the following commands:
gcloud container clusters get-credentials CLUSTER-NAME --zone ZONE --project PROJECT-NAME
Then, I called kubectl describe pod nvidia-gpu-device-plugin-UID --namespace kube-system and got this output:
ANSWER
Answered 2022-Mar-03 at 08:30According the docker image that the container is trying to pull (gke-nvidia-installer:fixed), it looks like you're trying use Ubuntu daemonset instead of cos.
You should run kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/nvidia-driver-installer/cos/daemonset-preloaded.yaml
This will apply the right daemonset for your cos node pool, as stated here.
In addition, please verify your node pool has the https://www.googleapis.com/auth/devstorage.read_only scope which is needed to pull the image. You can should see it in your node pool page in GCP Console, under Security -> Access scopes (The relevant service is Storage).
QUESTION
I am trying to find a way to use the new DefaultErrorHandler instead of deprecated SeekToCurrentErrorHandler in spring-kafka 2.8.1, in order to override the retry default behavior in case of errors. I want to "stop" the retry process, so if an error occurs, no retry should be done.
Now I have, in a config class, the following bean that works as expected:
...ANSWER
Answered 2022-Feb-09 at 15:16factory.setCommonErrorHandler(new Default....)
Boot auto configuration of a CommonErrorHandler bean requires Boot 2.6.
https://github.com/spring-projects/spring-boot/commit/c3583a4b06cff3f53b3322cd79f2b64d17211d0e
QUESTION
We use Artifactory as a hub for all external docker registries. We have different enviornments, all pull form the same url https://docker.intra. We suddenly have one case where a certain image is not pulled anymore but get this error
ANSWER
Answered 2021-Aug-25 at 09:19The root cause for this behavior is not clear, however it seems it's related to the namespace. Pulling the docker image within another namespace works fine. Same works if one deploys the application in a new namespace.
Alternatively you can also delete the ns completely and then re-create it.
QUESTION
I am trying to get a volume mounted as a non-root user in one of my containers. I'm trying an approach from this SO post using an initContainer to set the correct user, but when I try to start the configuration I get an "unbound immediate PersistentVolumneClaims" error. I suspect it's because the volume is mounted in both my initContainer and container, but I'm not sure why that would be the issue: I can see the initContainer taking the claim, but I would have thought when it exited that it would release it, letting the normal container take the claim. Any ideas or alternatives to getting the directory mounted as a non-root user? I did try using securityContext/fsGroup, but that seemed to have no effect. The /var/rdf4j directory below is the one that is being mounted as root.
Configuration:
...ANSWER
Answered 2022-Jan-21 at 08:431 pod has unbound immediate PersistentVolumeClaims. - this error means the pod cannot bound to the PVC on the node where it has been scheduled to run on. This can happen when the PVC bounded to a PV that refers to a location that is not valid on the node that the pod is scheduled to run on. It will be helpful if you can post the complete output of kubectl get nodes -o wide, kubectl describe pvc triplestore-data-storage, kubectl describe pv triplestore-data-storage-dir to the question.
The mean time, PVC/PV is optional when using hostPath, can you try the following spec and see if the pod can come online:
QUESTION
I'm using spring-kafka 2.8.0 and I'm trying to implement non-blocking retries for batch kafka consumer. Here are my config and consumer:
...ANSWER
Answered 2022-Jan-11 at 19:34@RetryableTopic is not supported with batch listeners.
The RecoveringBatchErrorHandler (DefaultErrorHandler for 2.8 and later) supports sending a failed record within a batch to a dead letter topic, with the help of the listener throwing a BatchListenerFailedException indicating which record failed.
You would then have to implement your own listener on that topic.
QUESTION
I have a Kubernetes Cluster with pods autoscalables using Autopilot. Suddenly they stop to autoscale, I'm new at Kubernetes and I don't know exactly what to do or what is supposed to put in the console to show for help.
The pods automatically are Unschedulable and inside the cluster put his state at Pending instead of running and doesn't allow me to enter or interact.
Also I can't delete or stop them at GCP Console. There's no issue regarding memory or insufficient CPU because there's not much server running on it.
The cluster was working as expected before this issue I have.
...ANSWER
Answered 2021-Nov-28 at 21:04Pods failed to schedule on any node because none of the nodes have cpu available.
Cluster autoscaler tried to scale up but it backoff after failed scale-up attempt which indicates possible issues with scaling up managed instance groups which are part of the node pool.
Cluster autoscaler tried to scale up but as the quota limit is reached no new nodes can be added.
You can't see the Autopilot GKE VMs that are being counted against your quota.
Try by creating the autopilot cluster in another region. If your needs are not no longer fulfilled by an autopilot cluster then go for a standard cluster.
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
I'm creating application using Spring Boot with RabbitMQ. I've created configuration for Rabbit like this:
...ANSWER
Answered 2021-Oct-20 at 15:44Rabbit starts resend last not processed message without any delay
That's how redelivery works: it re-push the same message again and again, until you ack it manually or drop altogether. There is no delay in between redeliveries just because an new message is not pulled from the queue until something is done with this one.
I can't define infinity attempt amount in options
maxAttempts
Have you tried an Integer.MAX_VALUE? Pretty decent number of attempts.
The other way is to use a Delayed Exchange: https://docs.spring.io/spring-amqp/docs/current/reference/html/#delayed-message-exchange.
You can configure that retry with a RepublishMessageRecoverer to publish into a your original queue back after some attempts are exhausted: https://docs.spring.io/spring-amqp/docs/current/reference/html/#async-listeners
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