ingester not ready: waiting for 15s after being ready

returns-console-558995dd78-tlb5k 1/1 Running 0 23h HTTP API | Cortex The text was updated successfully, but these errors were encountered: note: I even looked at the issue #4713 , but it doesn't seem to be the same context. Changelog | Cortex returns-console-558995dd78-tr2kd 1/1 Running 0 23h Promtail:latest & Loki:2.2.0, Kubernetes (GitVersion:"v1.18.8") and Helm (Version:"v3.6.2"). 4GB is not a small number, so it's better to check whether the default setting fits. We are a team, we problem solve and laugh and I could not imagine anyone else by my side. But since all machines have same configuration, we ruled out this possibility. This is why you're at standstill. Seeing the same issue on v1.13.1; to be honest i'm not sure when /how exactly the ingestor pods "died" but let's assume OOMKilled, the thing is; the standard recovery pattern by K8S doesn't work since the new ingester's don't report ready since the old instances are still in the ring. (i.e. The supported CLI flags used to reference this configuration block are: The swift_storage_backend block configures the connection to OpenStack Object Storage (Swift) object storage backend. Hi @marcusteixeira I ran into the same or a very similar issue, where some of my ingesters were stuck trying to flush user data preventing them from joining the ring. Medium Articles: Polkadot, Hack Defi On Wed, Jan 18, 2023 at 5:15 AM Antonio Ojea @.> wrote: I have to leave 1 out, the results are very confusing and not deterministic. Run the arbitrage bot with Docker by running the following command. But it's not a good solution to solve this. The ruler block configures the Loki ruler. I followed mostly the instructions of the offical repo. @tomwilkie will surely know reasoning here. Ingesters don't flush series to blocks at shutdown by default. You signed in with another tab or window. I changed concurrent_flush to 4 (default value is 16), but I didn't notice any real improvement on the identified problem. Update Docker's daemon.json file to set the default logging driver to Loki. Configures the server of the launched module(s). Thanks for contributing an answer to Stack Overflow! You signed in with another tab or window. Here are a few configuration settings in the ingester_config that are important to maintain Loki's uptime and durability guarantees. Ram - around 4mb. The read component returns ready when you point a web browser at http://localhost:3101/ready. There was a problem preparing your codespace, please try again. not yet ready. The query_scheduler block configures the Loki query scheduler. https://buildkite.com/opstrace/prs/builds/3165#6357df46-61ad-4aa0-bda7-881c7c8b0b14/2261-4062. configure a runtime configuration file: In the overrides.yaml file, add unordered_writes for each tenant where VAR is the name of the environment variable. I see the presence of this behavior whenever a certain throughput happens. What happened? K8s Elasticsearch with filebeat is keeping 'not ready' after rebooting I apologize for not having a lot of details to share but I'd add my 2 cents. Please Thanks for the flush_op_timeout parameter hints. OS - Centos 7. I deployed a daemonset: Then i started to listen events on all pods of this daemonset. I have a DaemonSet, Secret, powerful ClusterRole and CluserRoleBinding. The query_scheduler block configures the query-scheduler. I'm facing the same issue as well, increasing timeoutSeconds didn't help. We too are facing the same issue in our cluster. i changed flush_op_timeout to 10m, changed snappy to gzip and also tried to removing PVC and restart Ingester. Loki has a concept of runtime config file, which is simply a file that is reloaded while Loki is running. The grpc_client block configures the gRPC client used to communicate between two Loki components. The logs I am receiving from the promtail pod are like this: That my targets getting scraped and pushed to Loki. Well demo all the highlights of the major release: new and updated visualizations and themes, data source improvements, and Enterprise features. Grafana Labs uses cookies for the normal operation of this website. My setup in a nutshell : 1*node Kibana + 3 *nodes elasticsearch + many Filebeat. A car dealership sent a 8300 form after I paid $10k in cash for a car. Check graphs on grafana: I am currently running loki in my on-premisses datacenter and sending the information to the bucket present in gcp. The problem was that promtail didn't have access rights to read those files. At the moment, two components use runtime configuration: limits and multi KV store. The result is the value for every config object in the Loki config struct, which is very large… Many values will not be relevant to your install such as storage configs which you are not using and which you did not define, written in YAML format, and Shouldn't it re-use the connection when it can? I added, to the ingester config. How to fix it: Temporarily increase the limit If the actual number of series is very close to or already hit the limit, or if you foresee the ingester will hit the limit before dropping the stale series as an effect of the scale up, you should also temporarily increase the limit. I also didn't see any errors in grafana or Loki, as the logs were never pushed to Loki. K8s primitives that manage pods, such . Eventually it gets to a point where there arent enough healthy instances in the ring and queries fail with, If it helps, I havent seen this issue in 2.3.0 and this is the primary reason I am shying away from 2.4.x upgrade. Well occasionally send you account related emails. The file is written in YAML In all my logs file (fogscheduler.log, multicast.log etc) i have this line repaeted : Interface not ready, waiting for it to come up: mydomain.fr. One of the ingester was terminated due to OOM and it then fails to come to ready state with. By clicking Post Your Answer, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct. I couldn't even get a size=1 ingester ring to come up it just flaps between PENDING, ACTIVE, and LEAVING, the same as a much larger one. The supported CLI flags used to reference this configuration block are: The bos_storage_config block configures the connection to Baidu Object Storage (BOS) object storage backend. OOM Issue flamegraph: https://flamegraph.com/share/f1682ecd-8a77-11ec-9068-d2b21641d001. @afayngelerindbx has done some really helpful analysis, the code as written today doesn't seem to super gracefully recover a high volume stream gets backed up far enough, appreciate this investigation @afayngelerindbx! (experimental) are in the basic category. value is set to the specified default. This sounds like a very reasonable change, we'd love to see a PR to take a closer look! Shouldn't it re-use the connection when it can? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. that is the conntrack wait period, it will disappear once the socket closes. current working directory and the config/ subdirectory and try to use that. Migrate from single zone to zone-aware replication @thockin Conntrack shows hardly 2 or 3 errors. There was no problem with httpGet or 2 timeoutSeconds in probes without high load. Including disabling FIFO cache and changing index_cache_validity. Am I in trouble? If you say you see it repeatedly, please try to capture a pcap? The querier block configures the querier. No reason to connect that symptom with scaling. The service operates normally and responds to /status in 5ms, though. Note: This feature is only available in Loki 2.1+. Each variable reference is replaced at startup by the value of the environment variable. The way http reuses connections c differs between http1 and http2, and golang stdlib behave also different for those protocols. Improving time to first byte: Q&A with Dana Lawson of Netlify, What its like to be on the Python Steering Council (Ep. We have replication > 1 and using snappy. # CLI flag: -shutdown-delay [shutdown_delay: <duration> | default = 0s] # (experimental) Maximum number of groups allowed per user by which specified # distributor and ingester metrics can be further separated. I feel like we are heading in the right direction now. level=debug ts=2022-02-24T23:00:04.590640241Z caller=replay_controller.go:85 msg="replay flusher pre-flush" bytes="13 GB" Configuration for runtime config module, responsible for reloading runtime configuration file. Kernel - 4.4.218-1 which contains information on the Loki server and its individual components, However, I think the main use case for people is having Cortex self-healing. In logs of pod there are only message with response code 200 (from my requests and requests of readiness probes): It means that part of probes are successful. After two more minor releases, a deprecated flag will be removed entirely. This behaviour is very specifically a signal to auto-deployment mechanisms not to start the next one. There is no problem with the client either. Previously i had pd-standard disk type in gcp and saw that I/O Utilization is reaching 100%. Still valid. any update on this? He said he's not ready for exclusivity. In my environment I had already noticed this detail and it is currently set at 10m. I applied the changes that were reported, but but were not effective. New ingesters not ready if there's a faulty ingester in the ring Experimental parameters are for new and experimental features. Although commonplace, logs hold critical information about system operations and are a valuable source of debugging and troubleshooting information. Kibana server is not ready yet - All collectors are not ready. Waiting Out-of-order writes are enabled globally by default, but can be disabled/enabled if you are running your compute on prem and trying to use a cloud object store you're probably gonna struggle). The supported CLI flags used to reference this configuration block are: Configuration for memberlist client. no? They are asking for a valid resource that will exist at some point. is the one that has to spawn the goroutines for the probes I also believe it is to halt a rolling update. The index_gateway block configures the Loki index gateway server, responsible for serving index queries without the need to constantly interact with the object store. If loki fails then it has to be manually scaled to 0 and spinned 1 by 1. So instead of scaling it to 3 I need to scale it first to 1, then wait that it starts. my environment is currently deployed with 6 nodes with target=write, where the spec is 8vcpu/16gb ram. file that exists will be used. I run ingesters in a Deployment and I don't think I've observed that. This file defines the max trading size of supported currency pairs and the minimal profit margin you are willing to take when executing trades. On Thu, Jan 12, 2023 at 4:26 PM Antonio Ojea ***@***. Write Ahead Log | Grafana Loki documentation Options for runtime configuration reload can also be configured via YAML: Since the beginning of Loki, log entries had to be written to Loki in order The supported CLI flags used to reference this configuration block are: The azure_storage_backend block configures the connection to Azure object storage backend. Grafana for querying and displaying the logs. When new parameters are added, they can be introduced as basic, advanced, or experimental. Thank you for your contributions. Configuration for a Consul client. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. <. Is anyone found any solution for auto-healing the Ingester in Cortex? Geonodes: which is faster, Set Position or Transform node? Also the fact you don't see timeouts or errors in the status code makes me think this is a timeout Loki is putting on the request and cancelling it before it succeeds. The replacement is case-sensitive and occurs before the YAML file is parsed. @bboreham I created #3158 to correct the message. My sort of gut feeling here is that you are sending just enough data to each ingester that it can't upload it to the remote storage fast enough which results in increasing memory usage. Ingester knows how much data is being replayed and checks the ingester.wal-replay-memory-ceiling threshold simultaneously. not there yet. We suggest setting this to 3. Grafana change the default logging driver, Docker configure and troubleshoot the Docker daemon. Write a short description about your experience with Grot, our AI Beta. Stop the arbitrage bot with CTRL+C and make sure to take down the docker containers with the following command. Could you share your configuration file here and your environment details? It's also surprising that uploading a 1MB file takes more than 5s, are you running in google cloud or are you pushing to google cloud from somewhere else? For example, if you see the above get pods, readiness probe of one pod is failing almost every day. @thockin Only applies if the selected kvstore is etcd. The way http reuses connections c differs between http1 and http2, and golang stdlib behave also different for those protocols. Query front end not working with querier #3866 - GitHub Were you able to figure it out? Then scale more pods. Calling exec should eat MORE cpu time than an HTTP probe, I think. 4xx codes should not be used. Grafana Loki is a log aggregation system that stores and queries logs from applications and infrastructure. Grafana-Loki: Loki Grafana Labs - Gitee Parameters are A Loki-based logging stack consists of 3 components: promtail is the agent, responsible for gathering logs and sending them to Loki. Loki will dump the entire config object it has created from the built-in defaults combined first with Reply to this email directly, view it on GitHub He asked if we could be friends. Conclusions from title-drafting and question-content assistance experiments Prometheus is not compatible with Kubernetes v1.16, Prometheus in kubernetes have too many unhealthy targets, Target does not get scraped by prometheus, My Pod is not appering in the prometheus targets. ***> wrote: Ingester OOM - bytemeta If a more specific configuration is given in other sections, the related configuration within this section will be ignored. -Fog Configuration -> Fog Settings -> Multicast settings -> UPDCAST . but not kubelet cpu time :) , I think the kubelet is the bottleneck, since is the one that has to spawn the goroutines for the probes, with exec it delegates the task to the container runtime via CRI (ref #102613). All running in CentOS 7.9 No Metricbeat, no remote cluster monitoring. Learn more about the CLI. If so, this would multiply the amount of data each ingester processes by the replication_factor. This is the password to encrypt your credentials. not being prepared. When I was debugging the issue and looking at the tracing and profiling information, I saw the possibility that the issue occurs when snappy chunk_encoding is used. from their default values. Your message has been received! Make sure to run the take down command from within the root directory of the project. Are you sure you want to create this branch? Sometime Liveness/Readiness Probes fail because of net/http: request ${VAR}, You switched accounts on another tab or window. Not being able to flush chunks can definitely lead to memory issues and hitting limits. aws: A lot of bugs have been fixed since 1.12, so we'd need to try to reproduce this and then try again in a more recent version. You can use environment variable references in the YAML configuration file You could try running kubelet at a higher log level to get more details on what is happening. Each variable reference is replaced at startup by the value of the environment variable. The alertmanager block configures the alertmanager. These parameters permit The compactor block configures the compactor component, which compacts index shards for performance. The 50mb/s value is over the sum of all distributors/ingesters. If I were to give a sort of guideline i would say 10MB/s per ingester is fairly typical for us measured with the metric container_network_receive_bytes_total, Curious what folks here who are seeing issues are sending for MB/s into their ingesters? Note: By signing up, you agree to be emailed related product-level information. Is an arbitrage trading bot between the Kraken CEX and the Karura Defi Platform. The memcached block configures the Memcached-based caching backend. We're aware of companies running Cortex on-premise without K8S. In our case, timeouts were not related to application but related to specific nodes in cluster. In my cluster sometimes readiness the probes are failing. It has to make a connection through CRI, so it should be at least as much. Install Grafana Loki with Docker or Docker Compose, 0003: Query fairness across users within tenants, Use environment variables in the configuration, Supported contents and default values of loki.yaml. If I am going to the /targets page, all my active_targets are marked as "false". View the bot's Grafana Dashboard by navigating to localhost:3000. You can use environment variable references in the configuration file to set values that need to be configurable during deployment. Once the TIME-WAIT timer expires it frees the conntrack entry and the socket. To specify a default value, use ${VAR:default_value}, But the findings were weird. It was actually added in #2936, because this state is confusing for people. The frontend block configures the Loki query-frontend. Seeing same issue on v2.5.0. Redis seems fine. Ingester should start automatically. I have no idea what might cause spurious probe failues. It seems really problematic if users are abandoning liveness probes because they are not reliable. Successful Readiness Probe. Got this message on the app. How to reproduce it (as minimally and precisely as possible): Any subtle differences in "you don't let great guys get away" vs "go away"? Create a free account to get started, which includes free forever access to 10k metrics, 50GB logs, 50GB traces, 500VUh k6 testing & more. it seems like ingesters needs to be started one by one, if we just scale 3 pods up from 0 it cannot handle the situation. Memory consumption is 60-65% per node. Once all startup questions are answered, your credentials will be encrypted and stored locally on your machine in the project at src/config/app/credentials. Either one of them or both can be configured. the results I obtained locally are very promising. Kubernetes Version - 1.16.8 go tool pprof http://localhost:3100/debug/pprof/heap, Once the OOM problem occurs in the instance, the WAL is triggered and this is the behavior of pprof during its execution. But not on all nodes. "this instance cannot become ready until this problem is resolved" would be ok. msg="found an existing instance(s) with a problem in the ring, this instance cannot become ready until this problem is resolved. Last events for the pod after the restart: There's no event published when the pod is healthy meaning we're missing a liveness probe. Make sure you have the projects source code. When an ingester shuts down, because of a scale down operation, the in-memory data must not be discarded in order to avoid any data loss. Just trying to get a grip on whether it needs to be pushed further. This enables a 1GB in-memory cache that enables deduping chunk storage writes. The frontend block configures the query-frontend. Examples of basic parameters are object store credentials and Not the answer you're looking for? The supported CLI flags used to reference this configuration block are: The cache block configures the cache backend. Lots of liveness / readiness issues there were not happening before. houtenbos/krakura-bot: Arbitrage bot between Kraken and Karura. - GitHub endpoint: s3://foo-bucket Additional helpful documentation, links, and articles: How to control metrics growth in Prometheus and Kubernetes with Grafana Cloud, Intro to Grafana Mimir: The open source time series database that scales to 1 billion metrics & beyond, For billion-series scale or home IoT projects, get started in minutes with Grafana Mimir. To see all available qualifiers, see our documentation. In particular: The text was updated successfully, but these errors were encountered: My understanding is that it is used to stop rollout in case of any problems in the ring and make operator to investigate and fix (or just "forget" bad entry). Ingesters scaling up and down | Cortex If nothing happens, download GitHub Desktop and try again. How did this hand from the 2008 WSOP eliminate Scott Montgomery? I think we should work on solutions which work outside of K8S too. The supported CLI flags used to reference this configuration block are: Configuration for an ETCD v3 client. Does ECDH on secp256k produce a defined shared secret for two key pairs, or is it implementation defined? Please be aware that the exported configuration doesn't include the per-tenant overrides. This is the private key of your kraken api key. But the application works fine. 5xx codes should not be used. I'll look around and try to find whatever timeout is being hit here too. other dependency connection information. Does that mean I am losing logs ? Well I'm not sure this will help you, but I had the same promtail logs of adding target and immediately removing them. What Grafana version and what operating system are you using? Have a question about this project? S3). I've noticed that ingesters are being impacted with OOM events, which kills all the nodes in the ring, until most of the nodes are in an unhealthy state.After that, the WAL process is activated, but the node is stuck in this process and with that . Well occasionally send you account related emails. If someone in the thread with a reproducer can get a kubelet pprof of cpu that will help to clarify things, pprof shows a considerable amount of time dialing/http probing, I have to compare against exec probes too. Its biting us hard in prod :(. Same issue. Shouldn't it in version 2.7.0 it no longer occurs for me. ring=ingester err="instance cortex-ingester-7577dd5555-cgqqt past heartbeat timeout" by time. This was additionally worrisome because if enough of these piled up we would start running into storage throttling, exacerbating the problem. A tag already exists with the provided branch name. Of the 6 ingester pods, couple of them are always high, fluctuating between 30-300Mbs rest of them are less than 8Mbs, container_network_transmit_bytes_total If we can prove that it was the pod that timed out, at least we can say "we do X, Y, Z to give probes the highest prio on the kubelet side, you need to do A, B, C to make sure you respond to to them" and "look here to see the proof that we sent the request - you didn't respond". Looking at the code, it would be fairly simple to limit the number of chunks per flush to some configurable threshold. hi everyone, The common block holds configurations that configure multiple components at a time. I'm a beta, not like one of those pretty fighting fish, but like an early test version. The limits_config block configures global and per-tenant limits in Loki. After digging around in the flusher code, I have some thoughts: It seems that flush_op_timeout limits the time it takes to flush all flushable chunks within a stream(code ref). At the same time other apps running in the same namespace, nodes never restart. Grafana Mimir runbooks | Grafana Mimir documentation Deploy the test environment With evaluate-loki as the current working directory, deploy the test environment using docker-compose: docker-compose up -d Bash (Optional) Verify that the Loki cluster is up and running. Because a flush operation writes to the chunk cache this would also explain the sudden massive increase of writes to the cache. is not well-formed, the changes will not be applied. This is issue is solved for me by changing the disk type used by wal-data PVC. Here are more details of what I've been investigating about loki ingester. Pass the -config.expand-env flag at the command line to enable this way of setting configs. Running on Azure Kubernetes Service We also have this problem where the ingester set doesn't come back up because of this catch-22 where the first ingester doesn't report readiness since it can't contact the others in the set, and the others are not scheduled to start until the first instance reports readiness. We read every piece of feedback, and take your input very seriously. "Your room is ready." Waiting for a room. Got this message - Reddit @slim-bean, @kavirajk Getting an average of 15 mb for each distributor/ingester. These parameters will generally remain stable for long periods of time, Different modes GET /config?mode=diff The store_gateway block configures the store-gateway component. region: us-west1 5K 64 64 comments Best Add a Comment queencuntpunt 4 yr. ago Top yikes, that app needs a rework. Can you show log files where a pod decides to restart because it is not ready? You switched accounts on another tab or window. <. deterministic. Open positions, Check out the open source projects we support Using robocopy on windows led to infinite subfolder duplication via a stray shortcut file. How can I avoid this? @thockin I'll try to get a dump if I'm able to replicate this issue consistently, since it tends to happen randomly. Liveness on an Nginx container looks like this: UPD: Strange thing is that completely distinct deployments you can see above staging4 staging5 stagingN - above 10 deployments fail at once. For non-list parameters the I waited while new error with failed probe appears in kubelet logs. By clicking Sign up for GitHub, you agree to our terms of service and To specify the YAML file, use the -config.file command-line option. Sign in Is there any way you can help boil down a simpler reproduction?

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ingester not ready: waiting for 15s after being ready