kibana | Your window into the Elastic Stack | Dashboard library

 by   elastic TypeScript Version: v8.8.1 License: Non-SPDX

kandi X-RAY | kibana Summary

kandi X-RAY | kibana Summary

kibana is a TypeScript library typically used in Analytics, Dashboard, Docker, Spark applications. kibana has no bugs and it has medium support. However kibana has 10 vulnerabilities and it has a Non-SPDX License. You can download it from GitHub.

Kibana is your window into the Elastic Stack. Specifically, it's a browser-based analytics and search dashboard for Elasticsearch.

            kandi-support Support

              kibana has a medium active ecosystem.
              It has 18535 star(s) with 7743 fork(s). There are 839 watchers for this library.
              There were 1 major release(s) in the last 6 months.
              There are 8838 open issues and 46354 have been closed. On average issues are closed in 467 days. There are 921 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of kibana is v8.8.1

            kandi-Quality Quality

              kibana has no bugs reported.

            kandi-Security Security

              kibana has 10 vulnerability issues reported (0 critical, 0 high, 10 medium, 0 low).

            kandi-License License

              kibana has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              kibana releases are available to install and integrate.
              Installation instructions are available. Examples and code snippets are not available.

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            kibana Key Features

            No Key Features are available at this moment for kibana.

            kibana Examples and Code Snippets

            No Code Snippets are available at this moment for kibana.

            Community Discussions


            Access Denied You are not authorized to access Monitoring
            Asked 2022-Apr-01 at 20:21

            I have an elasticSearch cluster with 3 master and 2 data nodes. In addition, I have another node with KIbana and ElasticSearch (role=[] --coordinating-node)

            The cluster is working, and I can launch the KIbana UI. However, I see the following error when I access stack monitoring

            Access Denied You are not authorized to access Monitoring. To use Monitoring, you need the privileges granted by both the kibana_admin and monitoring_user roles.

            If you are attempting to access a dedicated monitoring cluster, this might be because you are logged in as a user that is not configured on the monitoring cluster.

            ElasticSearch 8.1 KIbana 8.1 I am logged in as the elastic superuser



            Answered 2022-Mar-22 at 01:40

            You need to add remote_cluster_clientrole to the nodes.

            Example using ECK



            EFK system is build on docker but fluentd can't start up
            Asked 2022-Feb-27 at 16:59

            I want to build the efk logger system by docker compose. Everything is setup, only fluentd has problem.

            fluentd docker container logs

            2022-02-15 02:06:11 +0000 [info]: parsing config file is succeeded path="/fluentd/etc/fluent.conf"

            2022-02-15 02:06:11 +0000 [info]: gem 'fluent-plugin-elasticsearch' version '5.0.3'

            2022-02-15 02:06:11 +0000 [info]: gem 'fluentd' version '1.12.0'

            /usr/local/lib/ruby/2.6.0/rubygems/core_ext/kernel_require.rb:54:in `require': cannot load such file -- elasticsearch/transport/transport/connections/selector (LoadError)

            my directory:



            Answered 2022-Feb-15 at 11:35

            I faced the same problem, but I used to make exactly the same image where everything works to this day. I can't figure out what has changed.

            But if you need to urgently solve the problem, use my in-person image:



            Split log message on space for grok pattern
            Asked 2022-Feb-11 at 08:15

            I am two days new to grok and ELK. I am struggling with breaking up the log messages based on space and make them appear as different fields in the logstash.

            My input pattern is: 2022-02-11 11:57:49 - app - INFO - function_name=add elapsed_time=0.0296 input_params=6_3

            I would like to see different fields in the logstash/kibana for function_name, elapsed_time and input_params.

            At the moment, I have a following .conf



            Answered 2022-Feb-11 at 08:15

            You can use the following pattern:



            Elasticsearch service hang and kills while data insertion jvm heap
            Asked 2021-Dec-04 at 14:11

            I am using elasticsearch 5.6.13 version, I need some experts configurations for the elasticsearch. I have 3 nodes in the same system (node1,node2,node3) where node1 is master and else 2 data nodes. I have number of indexes around 40, I created all these indexes with default 5 primary shards and some of them have 2 replicas. What I am facing the issue right now, My data (scraping) is growing day by day and I have 400GB of the data in my one of index. similarly 3 other indexes are also very loaded. From some last days I am facing the issue while insertion of data my elasticsearch hangs and then the service is killed which effect my processing. I have tried several things. I am sharing the system specs and current ES configuration + logs. Please suggest some solution.

            The System Specs: RAM: 160 GB, CPU: AMD EPYC 7702P 64-Core Processor, Drive: 2 TB SSD (The drive in which the ES installed still have 500 GB left)

            ES Configuration JVM options: -Xms26g, -Xmx26g (I just try this but not sure what is the perfect heap size for my scenario) I just edit this above lines and the rest of the file is as defult. I edit this on all three nodes jvm.options files.

            ES LOGS

            [2021-09-22T12:05:17,983][WARN ][o.e.m.j.JvmGcMonitorService] [sashanode1] [gc][170] overhead, spent [7.1s] collecting in the last [7.2s] [2021-09-22T12:05:21,868][WARN ][o.e.m.j.JvmGcMonitorService] [sashanode1] [gc][171] overhead, spent [3.7s] collecting in the last [1.9s] [2021-09-22T12:05:51,190][WARN ][o.e.m.j.JvmGcMonitorService] [sashanode1] [gc][172] overhead, spent [27.7s] collecting in the last [23.3s] [2021-09-22T12:06:54,629][WARN ][o.e.m.j.JvmGcMonitorService] [cluster_name] [gc][173] overhead, spent [57.5s] collecting in the last [1.1m] [2021-09-22T12:06:56,536][WARN ][o.e.m.j.JvmGcMonitorService] [cluster_name] [gc][174] overhead, spent [1.9s] collecting in the last [1.9s] [2021-09-22T12:07:02,176][WARN ][o.e.m.j.JvmGcMonitorService] [cluster_name] [gc][175] overhead, spent [5.4s] collecting in the last [5.6s] [2021-09-22T12:06:56,546][ERROR][o.e.i.e.Engine ] [cluster_name] [index_name][3] merge failed java.lang.OutOfMemoryError: Java heap space

            [2021-09-22T12:06:56,548][ERROR][o.e.b.ElasticsearchUncaughtExceptionHandler] [cluster_name] fatal error in thread [elasticsearch[cluster_name][bulk][T#25]], exiting java.lang.OutOfMemoryError: Java heap space

            Some more logs

            [2021-09-22T12:10:06,526][INFO ][o.e.n.Node ] [cluster_name] initializing ... [2021-09-22T12:10:06,589][INFO ][o.e.e.NodeEnvironment ] [cluster_name] using [1] data paths, mounts [[(D:)]], net usable_space [563.3gb], net total_space [1.7tb], spins? [unknown], types [NTFS] [2021-09-22T12:10:06,589][INFO ][o.e.e.NodeEnvironment ] [cluster_name] heap size [1.9gb], compressed ordinary object pointers [true] [2021-09-22T12:10:07,239][INFO ][o.e.n.Node ] [cluster_name] node name [sashanode1], node ID [2p-ux-OXRKGuxmN0efvF9Q] [2021-09-22T12:10:07,240][INFO ][o.e.n.Node ] [cluster_name] version[5.6.13], pid[57096], build[4d5320b/2018-10-30T19:05:08.237Z], OS[Windows Server 2019/10.0/amd64], JVM[Oracle Corporation/Java HotSpot(TM) 64-Bit Server VM/1.8.0_261/25.261-b12] [2021-09-22T12:10:07,240][INFO ][o.e.n.Node ] [cluster_name] JVM arguments [-Xms2g, -Xmx2g, -XX:+UseConcMarkSweepGC, -XX:CMSInitiatingOccupancyFraction=75, -XX:+UseCMSInitiatingOccupancyOnly, -XX:+AlwaysPreTouch, -Xss1m, -Djava.awt.headless=true, -Dfile.encoding=UTF-8, -Djna.nosys=true,, -Dio.netty.noUnsafe=true, -Dio.netty.noKeySetOptimization=true, -Dio.netty.recycler.maxCapacityPerThread=0, -Dlog4j.shutdownHookEnabled=false, -Dlog4j2.disable.jmx=true, -Dlog4j.skipJansi=true, -XX:+HeapDumpOnOutOfMemoryError, -Delasticsearch, -Des.path.home=D:\Databases\ES\elastic and kibana 5.6.13\es_node_1, -Des.default.path.logs=D:\Databases\ES\elastic and kibana 5.6.13\es_node_1\logs,\Databases\ES\elastic and kibana 5.6.13\es_node_1\data, -Des.default.path.conf=D:\Databases\ES\elastic and kibana 5.6.13\es_node_1\config, exit, -Xms2048m, -Xmx2048m, -Xss1024k]

            Also in my ES folder there are so many files with the random names (java_pid197036.hprof) Further details can be shared please suggest any further configurations. Thanks

            The output for _cluster/stats?pretty&human is

            { "_nodes": { "total": 3, "successful": 3, "failed": 0 }, "cluster_name": "cluster_name", "timestamp": 1632375228033, "status": "red", "indices": { "count": 42, "shards": { "total": 508, "primaries": 217, "replication": 1.3410138248847927, "index": { "shards": { "min": 2, "max": 60, "avg": 12.095238095238095 }, "primaries": { "min": 1, "max": 20, "avg": 5.166666666666667 }, "replication": { "min": 1.0, "max": 2.0, "avg": 1.2857142857142858 } } }, "docs": { "count": 107283077, "deleted": 1047418 }, "store": { "size": "530.2gb", "size_in_bytes": 569385384976, "throttle_time": "0s", "throttle_time_in_millis": 0 }, "fielddata": { "memory_size": "0b", "memory_size_in_bytes": 0, "evictions": 0 }, "query_cache": { "memory_size": "0b", "memory_size_in_bytes": 0, "total_count": 0, "hit_count": 0, "miss_count": 0, "cache_size": 0, "cache_count": 0, "evictions": 0 }, "completion": { "size": "0b", "size_in_bytes": 0 }, "segments": { "count": 3781, "memory": "2gb", "memory_in_bytes": 2174286255, "terms_memory": "1.7gb", "terms_memory_in_bytes": 1863786029, "stored_fields_memory": "105.6mb", "stored_fields_memory_in_bytes": 110789048, "term_vectors_memory": "0b", "term_vectors_memory_in_bytes": 0, "norms_memory": "31.9mb", "norms_memory_in_bytes": 33527808, "points_memory": "13.1mb", "points_memory_in_bytes": 13742470, "doc_values_memory": "145.3mb", "doc_values_memory_in_bytes": 152440900, "index_writer_memory": "0b", "index_writer_memory_in_bytes": 0, "version_map_memory": "0b", "version_map_memory_in_bytes": 0, "fixed_bit_set": "0b", "fixed_bit_set_memory_in_bytes": 0, "max_unsafe_auto_id_timestamp": 1632340789677, "file_sizes": { } } }, "nodes": { "count": { "total": 3, "data": 3, "coordinating_only": 0, "master": 1, "ingest": 3 }, "versions": [ "5.6.13" ], "os": { "available_processors": 192, "allocated_processors": 96, "names": [ { "name": "Windows Server 2019", "count": 3 } ], "mem": { "total": "478.4gb", "total_in_bytes": 513717497856, "free": "119.7gb", "free_in_bytes": 128535437312, "used": "358.7gb", "used_in_bytes": 385182060544, "free_percent": 25, "used_percent": 75 } }, "process": { "cpu": { "percent": 5 }, "open_file_descriptors": { "min": -1, "max": -1, "avg": 0 } }, "jvm": { "max_uptime": "1.9d", "max_uptime_in_millis": 167165106, "versions": [ { "version": "1.8.0_261", "vm_name": "Java HotSpot(TM) 64-Bit Server VM", "vm_version": "25.261-b12", "vm_vendor": "Oracle Corporation", "count": 3 } ], "mem": { "heap_used": "5gb", "heap_used_in_bytes": 5460944144, "heap_max": "5.8gb", "heap_max_in_bytes": 6227755008 }, "threads": 835 }, "fs": { "total": "1.7tb", "total_in_bytes": 1920365228032, "free": "499.1gb", "free_in_bytes": 535939969024, "available": "499.1gb", "available_in_bytes": 535939969024 }, "plugins": [ ], "network_types": { "transport_types": { "netty4": 3 }, "http_types": { "netty4": 3 } } } }

            The jvm.options file.



            Answered 2021-Oct-08 at 06:38

            My issue is solved, It is due to the heap size issue, actually I am running the ES as service and the heap size is by default 2 GB and it is not reflecting. I just install the new service with the updated options.jvm file with heap size of 10 GB, and then run my cluster. It reflect the heap size from 2 GB to 10 GB. And my problem is solved. Thanks for the suggestions.

            to check your heap size use this command.



            How can I see the MessageTemplate when using Serilog WriteTo.Console?
            Asked 2021-Dec-02 at 00:37

            I'm using Serilog for logging and am using the Console writer to send logs to standard output to be picked up by Filebeat and sent to Elastic. The configuration of the logger includes the following:

            .WriteTo.Console(outputTemplate: "[{Timestamp:HH:mm:ss} {Level:u3}] {Message:lj}{Properties:j}{NewLine}{Exception}")

            This is all fine, the structured properties are output and rendered in JSON format correctly, however, it's missing the MessageTemplate property value which would output something similar to:

            "MessageTemplate":"User {Username} logged in successfully"

            This is a problem because it would be useful to be able to run queries in Kibana to show the number of times users are logging in by searching for the message template rather than the rendered message which would be specific to a single user, for example:

            "Message":"User "Joe Bloggs" logged in successfully"

            I can see that I can use the JsonFormatter object to write to the console using:

            .WriteTo.Console(new JsonFormatter(renderMessage: true))

            Using this method outputs both the Message and the MessageTemplate properties, but it does so in an ugly blob of JSON which is really hard to read when a person is viewing the logs on the command line.

            Does anyone know if it's possible for the Serilog Console Output template to include the MessageTemplate?



            Answered 2021-Dec-02 at 00:37

            Serilog.Expressions can do this.



            How to configure DaemonSet Fluentd to read from custom log file and console
            Asked 2021-Nov-30 at 09:43

            I'm trying to configure EFK stack in my local minikube setup. I have followed this tutorial.

            Everything is working fine (I can see all my console logs in kibana and Elasticsearch). But I have another requirement. I have Node.js application which is logs as files to custom path /var/log/services/dev inside the pod.

            File Tree:



            Answered 2021-Nov-29 at 14:21

            If a pod crashes, all logs still will be accessible in efk. No need to add a persistent volume to the pod with your application only for storing log file.

            Main question is how to get logs from this file. There are two main approaches which are suggested and based on kubernetes documentation:

            1. Use a sidecar container.

              Containers in pod have the same file system and sidecar container will be streaming logs from file to stdout and/or stderr (depends on implementation) and after logs will be picked up by kubelet.

              Please find streaming sidecar container and example how it works.

            2. Use a sidecar container with a logging agent.

              Please find Sidecar container with a logging agent and configuration example using fluentd. In this case logs will be collected by fluentd and they won't be available by kubectl logs commands since kubelet is not responsible for these logs.



            How to unlock Liquibase Lock with Spring?
            Asked 2021-Nov-14 at 19:14

            My service based on Spring 2.4.3 and use liquibase 4.3.1, deploy with Jenkins. I have next problem- liquibase lock(Kibana logs):

            Application run failed org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'liquibase' defined in class path resource [org/springframework/boot/autoconfigure/liquibase/LiquibaseAutoConfiguration$LiquibaseConfiguration.class]: Invocation of init method failed; nested exception is liquibase.exception.LockException: Could not acquire change log lock. Currently locked by my-service since 10/29/21, 3:37 PM

            Unfortunatelly I have no access to DB directly to update DATABASECHANGELOCK. I tried this solution but without any result.. How to unlock liquibase without DB data loss? Thanks in advance.



            Answered 2021-Nov-14 at 19:14

            If someone interesting- I solve this case.

            I add entity & dto - liquibaseLock and controller, service, repo. After that comment liquibase implementation in build.gradle, push and deploy this version, unlock DB; comment out liquibase and push & deploy )

            Now it works and I have proven solution )



            In Kibana's Vega, how can I create layers from two different aggs in one request
            Asked 2021-Oct-25 at 03:51

            In Elasticsearch's HTTP API, you can have a bucketing aggregation and a metric aggregation in a single request to the _search API. In Kibana's Vega environment, how can you create a Vega visualization which uses a single _search request with a buckets aggregation and a metric aggregation; and then makes a chart with one layer using data from the buckets and one layer using data from the metric?

            To make this question more concrete, consider this example:

            Imagine we are hat makers. Multiple stores carry our hats. We have an Elasticsearch index hat-sales which has one document for each time one of our hats is sold. Included in this document is the store at which the hat was sold.

            Here are two examples of the documents in this index:



            Answered 2021-Oct-25 at 03:51

            I did get it to work using this:



            Expose Elastic APM through Ingress Controller
            Asked 2021-Oct-22 at 08:48

            I have deployed elastic APM server into kubernetes and was trying to expose it through nginx ingress controller. Following is my configuration:



            Answered 2021-Oct-21 at 11:27

            Posting this as answer out of comments.

            Initial ingress rule passes the same path /apm to the APM service, which is confirmed by error in APM pod's logs - "message":"404 page not found","url.original":"/apm"

            To fix it, nginx ingress has rewrite annotation. The way it works is described in the link with example.

            Final ingress.yaml should look like:



            FluentD forward logs from kafka to another fluentD
            Asked 2021-Jul-10 at 08:33

            I need to send my application logs into a FluentD which is part of an EFK service. so I tried to config another FluentD to do that.




            Answered 2021-Jul-10 at 08:33

            The problem was missing security tag in first fluentd.


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install kibana

            If you just want to try Kibana out, check out the Elastic Stack Getting Started Page to give it a whirl. If you're interested in diving a bit deeper and getting a taste of Kibana's capabilities, head over to the Kibana Getting Started Page.


            You might want to build Kibana locally to contribute some code, test out the latest features, or try out an open PR:.
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