palanteer | Visual Python and C++ nanosecond profiler , logger , tests | Monitoring library

 by   dfeneyrou C++ Version: 0.6 License: Non-SPDX

kandi X-RAY | palanteer Summary

palanteer is a C++ library typically used in Performance Management, Monitoring applications. palanteer has no bugs, it has no vulnerabilities and it has medium support. However palanteer has a Non-SPDX License. You can download it from GitHub.
Palanteer is a set of lean and efficient tools to improve the quality of software, for C++ and Python programs.
    Support
      Quality
        Security
          License
            Reuse
            Support
              Quality
                Security
                  License
                    Reuse

                      kandi-support Support

                        summary
                        palanteer has a medium active ecosystem.
                        summary
                        It has 1943 star(s) with 76 fork(s). There are 55 watchers for this library.
                        summary
                        It had no major release in the last 12 months.
                        summary
                        There are 7 open issues and 20 have been closed. On average issues are closed in 34 days. There are 1 open pull requests and 0 closed requests.
                        summary
                        It has a neutral sentiment in the developer community.
                        summary
                        The latest version of palanteer is 0.6
                        palanteer Support
                          Best in #Monitoring
                            Average in #Monitoring
                            palanteer Support
                              Best in #Monitoring
                                Average in #Monitoring

                                  kandi-Quality Quality

                                    summary
                                    palanteer has no bugs reported.
                                    palanteer Quality
                                      Best in #Monitoring
                                        Average in #Monitoring
                                        palanteer Quality
                                          Best in #Monitoring
                                            Average in #Monitoring

                                              kandi-Security Security

                                                summary
                                                palanteer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
                                                palanteer Security
                                                  Best in #Monitoring
                                                    Average in #Monitoring
                                                    palanteer Security
                                                      Best in #Monitoring
                                                        Average in #Monitoring

                                                          kandi-License License

                                                            summary
                                                            palanteer has a Non-SPDX License.
                                                            summary
                                                            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.
                                                            palanteer License
                                                              Best in #Monitoring
                                                                Average in #Monitoring
                                                                palanteer License
                                                                  Best in #Monitoring
                                                                    Average in #Monitoring

                                                                      kandi-Reuse Reuse

                                                                        summary
                                                                        palanteer releases are available to install and integrate.
                                                                        summary
                                                                        Installation instructions are not available. Examples and code snippets are available.
                                                                        palanteer Reuse
                                                                          Best in #Monitoring
                                                                            Average in #Monitoring
                                                                            palanteer Reuse
                                                                              Best in #Monitoring
                                                                                Average in #Monitoring
                                                                                  Top functions reviewed by kandi - BETA
                                                                                  kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
                                                                                  Currently covering the most popular Java, JavaScript and Python libraries. See a Sample Here
                                                                                  Get all kandi verified functions for this library.
                                                                                  Get all kandi verified functions for this library.

                                                                                  palanteer Key Features

                                                                                  Collection of meaningful atomic events on timings, memory, locks wait and usage, context switches, data values..
                                                                                  Efficient logging with a printf-compatible interface
                                                                                  Visual and interactive observation of records: hierarchical logs, timeline, plot, histogram, flame graph...
                                                                                  Remote command call and events observation can be scripted in Python: deep testing has never been simpler
                                                                                  C++: ultralight single-header cross-platform instrumentation library printf-like nanosecond logging with level, category and graphable arguments compile time selection of groups of instrumentation compile-time hashing of static strings to minimize their cost compile-time striping of all instrumentation static strings enhanced assertions, stack trace dump... automatic code instrumentation (Linux GCC only)
                                                                                  Python: Automatic instrumentation of functions enter/leave, memory allocations, raised exceptions, garbage collection runs Seamless support of multithreading, asyncio/gevent

                                                                                  palanteer Examples and Code Snippets

                                                                                  No Code Snippets are available at this moment for palanteer.
                                                                                  Community Discussions

                                                                                  Trending Discussions on Monitoring

                                                                                  Linux IP monitoring tool
                                                                                  chevron right
                                                                                  how to check service running on other server with python
                                                                                  chevron right
                                                                                  Differentiate databricks streaming queries in datadog
                                                                                  chevron right
                                                                                  Ignore specific set of labels on prometheus query
                                                                                  chevron right
                                                                                  Prometheus remote write mTLS
                                                                                  chevron right
                                                                                  Prometheus service discovery with docker-compose
                                                                                  chevron right
                                                                                  Where can I get node exporter metrics description?
                                                                                  chevron right
                                                                                  Prometheus: find max RPS
                                                                                  chevron right
                                                                                  Integrate GCP with OpsGenie for Alerts
                                                                                  chevron right
                                                                                  Kubernetes pvc in rwx monitoring
                                                                                  chevron right

                                                                                  QUESTION

                                                                                  Linux IP monitoring tool
                                                                                  Asked 2022-Apr-08 at 16:12

                                                                                  I need to get the IP numbers that are connecting to the EC2 instance then add them to AWS security group as a security group rule. So only those machines will have the permission to connect to instance. I don't need the port number that they're connecting to instance.

                                                                                  I installed iptraf-ng but app is very slow on the instance. Any other suggestions to capture the connecting IP's to instance so I can add them faster to security group rule?

                                                                                  ANSWER

                                                                                  Answered 2022-Apr-08 at 16:12

                                                                                  You can use VPC Flow logs to monitor the traffic to the VPC (which will include the traffic that is going to the EC2 instance).

                                                                                  Source https://stackoverflow.com/questions/71800154

                                                                                  QUESTION

                                                                                  how to check service running on other server with python
                                                                                  Asked 2022-Mar-14 at 13:12

                                                                                  I have a problem with checking my service on other windows or Linux servers.

                                                                                  My problem is that I have to make a request from one server to the other servers and check if the vital services of those servers are active or disabled.

                                                                                  I wrote Python code to check for services, which only works on a local system.

                                                                                  import psutil
                                                                                   
                                                                                  def getService(name):
                                                                                  
                                                                                      service = None
                                                                                      try:
                                                                                          service = psutil.win_service_get(name)
                                                                                          service = service.as_dict()
                                                                                      except Exception as ex:
                                                                                          print(str(ex))
                                                                                      return service
                                                                                  
                                                                                  service = getService('LanmanServer')
                                                                                  if service:
                                                                                      print("service found")
                                                                                  else:
                                                                                      print("service not found")
                                                                                  
                                                                                  if service and service['status'] == 'running':
                                                                                      print("service is running")
                                                                                  else:
                                                                                      print("service is not running")
                                                                                  

                                                                                  Does this code have this feature? Or suggest another code؟

                                                                                  I have reviewed suggestions such as using server agents (influx, ...), which are not working for my needs.

                                                                                  ANSWER

                                                                                  Answered 2022-Mar-08 at 17:46

                                                                                  As far as I know, psutil can only be used for gathering information about local processes, and is not suitable for retrieving information about processes running on other hosts. If you want to check whether or not a process is running on another host, there are many ways to approach this problem, and the solution depends on how deep you want to go (or need to go), and what your local situation is. From the top of my head, here are some ideas:

                                                                                  If you are only dealing with network services with exposed ports:

                                                                                  • A very simple solution would involve using a script and a port scanner (nmap); if a port that a service is listening behind, is open, then we can assume that the service is running. Run the script every once in a while to check up on the services, and do your thing.

                                                                                  • If you want to stay in Python, you can achieve the same end result by using Python's socket module to try and connect to a given host and port to determine whether or not the port that a service is listening behind, is open.

                                                                                  • A Python package or tool for monitoring network services on other hosts like this probably already exists.

                                                                                  If you want more information and need to go deeper, or you want to check up on local services, your solution will have to involve a local monitor process on each host, and connecting to that process to gather information.

                                                                                  • You can use your code to implement a server that lets clients connect to it, to check up on the services running on that host. (Check the socket module's official documentation for examples on how to implement clients and servers.)

                                                                                  Here's the big thing though. Based on your question and how it was asked, I would assume that you do not have the experience nor the insight to implement this in a secure way yet. If you're using this for a simple hobby/student project, roll out your own solution, and learn. Otherwise, I would recommend that you check out an existing solution like Nagios, and follow the security recommendations very closely.

                                                                                  Source https://stackoverflow.com/questions/71393915

                                                                                  QUESTION

                                                                                  Differentiate databricks streaming queries in datadog
                                                                                  Asked 2022-Mar-11 at 18:18

                                                                                  I am trying to set up a dashboard on Datadog that will show me the streaming metrics for my streaming job. The job itself contains two tasks one task has 2 streaming queries and the other has 4 (Both tasks use the same cluster). I followed the instructions here to install Datadog on the driver node. However when I go to datadog and try to create a dashboard there is no way to differentiate between the 6 different streaming queries so they are all lumped together (none of the tags for the metrics are different per query).

                                                                                  ANSWER

                                                                                  Answered 2022-Mar-11 at 18:18

                                                                                  After some digging I found there is an option you can enable via the init script called enable_query_name_tag which is disabled by default as it can cause there to be a ton of tags created when you are not using query names.

                                                                                  The modification is shown here:

                                                                                  instances:
                                                                                      - spark_url: http://\$DB_DRIVER_IP:\$DB_DRIVER_PORT
                                                                                        spark_cluster_mode: spark_standalone_mode
                                                                                        cluster_name: \${hostip}
                                                                                        streaming_metrics: true
                                                                                        enable_query_name_tag: true <----
                                                                                  

                                                                                  Source https://stackoverflow.com/questions/71402261

                                                                                  QUESTION

                                                                                  Ignore specific set of labels on prometheus query
                                                                                  Asked 2022-Mar-02 at 17:51

                                                                                  I have a metric with 2 labels. Both labels can have 2 values A or B.

                                                                                  I'd like to sum all the values and exclude the case when Label1=A and Label2=B.

                                                                                  sum by (Label1,Label2)(metric{?})
                                                                                  

                                                                                  Is it possible ?

                                                                                  ANSWER

                                                                                  Answered 2022-Mar-02 at 17:51

                                                                                  Try the following query:

                                                                                  sum by (Label1,Label2) (metric unless metric{Label1="A",Label2="B"})
                                                                                  

                                                                                  Source https://stackoverflow.com/questions/71326094

                                                                                  QUESTION

                                                                                  Prometheus remote write mTLS
                                                                                  Asked 2022-Feb-24 at 06:08

                                                                                  I'm trying to set up Prometheus-to-Prometheus metrics flow, I was able to do it by flag --enable-feature=remote-write-receiver.

                                                                                  However I need to have mTLS there, can someone advice a manual or post a config sample?

                                                                                  Appreciate you help

                                                                                  ANSWER

                                                                                  Answered 2022-Feb-24 at 06:08

                                                                                  There is a second config file with experimental options related to HTTP server, and it has options to enable TLS:

                                                                                  tls_server_config:
                                                                                    # Certificate and key files for server to use to authenticate to client.
                                                                                    cert_file: 
                                                                                    key_file: 
                                                                                  
                                                                                    # Server policy for client authentication. Maps to ClientAuth Policies.
                                                                                    # For more detail on clientAuth options:
                                                                                    # https://golang.org/pkg/crypto/tls/#ClientAuthType
                                                                                    #
                                                                                    # NOTE: If you want to enable client authentication, you need to use
                                                                                    # RequireAndVerifyClientCert. Other values are insecure.
                                                                                    client_auth_type: RequireAndVerifyClientCert # default = "NoClientCert"
                                                                                  
                                                                                    # CA certificate for client certificate authentication to the server.
                                                                                    client_ca_file: 
                                                                                  

                                                                                  The documentation on this file is located at the HTTPS AND AUTHENTICATION article. Note that after creating this file, you have to start Prometheus with the extra option:

                                                                                  --web.config.file=/path/to/the/file.yml
                                                                                  

                                                                                  The above is to be configured on the receiving part. The sending part needs a client TLS certificate configured in its remote_write:

                                                                                  remote_write:
                                                                                  - url: https://prometheus.example.com
                                                                                    tls_config:
                                                                                      # https://prometheus.io/docs/prometheus/latest/configuration/configuration/#tls_config
                                                                                      cert_file: 
                                                                                      key_file: 
                                                                                  

                                                                                  Source https://stackoverflow.com/questions/71244535

                                                                                  QUESTION

                                                                                  Prometheus service discovery with docker-compose
                                                                                  Asked 2022-Feb-19 at 17:59

                                                                                  I have the following docker-compose file:

                                                                                  version: '3.4'
                                                                                  
                                                                                  services:
                                                                                      serviceA:
                                                                                          image: 
                                                                                          command: 
                                                                                          labels:
                                                                                             servicename: "service-A"
                                                                                          ports:
                                                                                           - "8080:8080"
                                                                                  
                                                                                      serviceB:
                                                                                          image: 
                                                                                          command: 
                                                                                          labels:
                                                                                             servicename: "service-B"
                                                                                          ports:
                                                                                           - "8081:8081"
                                                                                  
                                                                                      prometheus:
                                                                                          image: prom/prometheus:v2.32.1
                                                                                          container_name: prometheus
                                                                                          volumes:
                                                                                            - ./prometheus:/etc/prometheus
                                                                                            - prometheus_data:/prometheus
                                                                                          command:
                                                                                            - '--config.file=/etc/prometheus/prometheus.yml'
                                                                                            - '--storage.tsdb.path=/prometheus'
                                                                                            - '--web.console.libraries=/etc/prometheus/console_libraries'
                                                                                            - '--web.console.templates=/etc/prometheus/consoles'
                                                                                            - '--storage.tsdb.retention.time=200h'
                                                                                            - '--web.enable-lifecycle'
                                                                                          restart: unless-stopped
                                                                                          expose:
                                                                                            - 9090
                                                                                  
                                                                                          labels:
                                                                                            org.label-schema.group: "monitoring"
                                                                                  
                                                                                  volumes:
                                                                                      prometheus_data: {}
                                                                                  

                                                                                  The docker-compose contain also Prometheus instance with the following configuration:

                                                                                  global:
                                                                                    scrape_interval:     15s # By default, scrape targets every 15 seconds.
                                                                                  
                                                                                  
                                                                                  scrape_configs:
                                                                                    - job_name: 'prometheus'
                                                                                      scrape_interval: 5s
                                                                                      static_configs:
                                                                                        - targets: ['localhost:9090', 'serviceA:8080', 'serviceB:8081']
                                                                                  

                                                                                  ServiceA and ServiceB exposing prometheus metrics(each one on it's own port).

                                                                                  When there is one instance from each service everything works fine but when i want to scale the services and run more than one instance the prometheus metrics collection started to messed up the metrics collection and the data is corrupted.

                                                                                  I looked for docker-compose service discovery for this issue but didn't found suitable one. How can I solve this?

                                                                                  ANSWER

                                                                                  Answered 2022-Feb-19 at 17:59

                                                                                  The solution to this problem is to use an actual service discovery instead of static targets. This way Prometheus will scrape each replica during each iteration.

                                                                                  If it is just docker-compose (I mean, not Swarm), you can use DNS service discovery (dns_sd_config) to obtain all IPs belonging to a service:

                                                                                  # docker-compose.yml
                                                                                  version: "3"
                                                                                  services:
                                                                                    prometheus:
                                                                                      image: prom/prometheus
                                                                                  
                                                                                    test-service:  # <- this
                                                                                      image: nginx
                                                                                      deploy:
                                                                                        replicas: 3
                                                                                  ---
                                                                                  # prometheus.yml
                                                                                  scrape_configs:
                                                                                    - job_name: test
                                                                                      dns_sd_configs:
                                                                                        - names:
                                                                                            - test-service  # goes here
                                                                                          type: A
                                                                                          port: 80
                                                                                  

                                                                                  This is the simplest way to get things up and running.

                                                                                  Moving next, you can use the dedicated Docker service discovery: docker_sd_config. Apart from the target list, it gives you more data in labels (e.g. container name, image version, etc) but it also requires a connection to the Docker daemon to get this data. In my opinion, this is an overkill for a development environment, but it might be essential in production. Here is an example configuration, boldly copy-pasted from https://github.com/prometheus/prometheus/blob/release-2.33/documentation/examples/prometheus-docker.yml :

                                                                                  # A example scrape configuration for running Prometheus with Docker.
                                                                                  
                                                                                  scrape_configs:
                                                                                    # Make Prometheus scrape itself for metrics.
                                                                                    - job_name: "prometheus"
                                                                                      static_configs:
                                                                                        - targets: ["localhost:9090"]
                                                                                  
                                                                                    # Create a job for Docker daemon.
                                                                                    #
                                                                                    # This example requires Docker daemon to be configured to expose
                                                                                    # Prometheus metrics, as documented here:
                                                                                    # https://docs.docker.com/config/daemon/prometheus/
                                                                                    - job_name: "docker"
                                                                                      static_configs:
                                                                                        - targets: ["localhost:9323"]
                                                                                  
                                                                                    # Create a job for Docker Swarm containers.
                                                                                    #
                                                                                    # This example works with cadvisor running using:
                                                                                    # docker run --detach --name cadvisor -l prometheus-job=cadvisor
                                                                                    #     --mount type=bind,src=/var/run/docker.sock,dst=/var/run/docker.sock,ro
                                                                                    #     --mount type=bind,src=/,dst=/rootfs,ro
                                                                                    #     --mount type=bind,src=/var/run,dst=/var/run
                                                                                    #     --mount type=bind,src=/sys,dst=/sys,ro
                                                                                    #     --mount type=bind,src=/var/lib/docker,dst=/var/lib/docker,ro
                                                                                    #     google/cadvisor -docker_only
                                                                                    - job_name: "docker-containers"
                                                                                      docker_sd_configs:
                                                                                        - host: unix:///var/run/docker.sock # You can also use http/https to connect to the Docker daemon.
                                                                                      relabel_configs:
                                                                                        # Only keep containers that have a `prometheus-job` label.
                                                                                        - source_labels: [__meta_docker_container_label_prometheus_job]
                                                                                          regex: .+
                                                                                          action: keep
                                                                                        # Use the task labels that are prefixed by `prometheus-`.
                                                                                        - regex: __meta_docker_container_label_prometheus_(.+)
                                                                                          action: labelmap
                                                                                          replacement: $1
                                                                                  

                                                                                  At last, there is the dockerswarm_sd_config which is to be used, obviously, with Docker Swarm. This is the most complex thing of the trio and thus, there is a comprehensive official setup guide. Like the docker_sd_config it has additional information about containers in labels and even more than that (for example, it can tell on which node the container is). An example configuration is available here: https://github.com/prometheus/prometheus/blob/release-2.33/documentation/examples/prometheus-dockerswarm.yml , but you should really read the docs to be able to understand it and tune for yourself.

                                                                                  Source https://stackoverflow.com/questions/70803245

                                                                                  QUESTION

                                                                                  Where can I get node exporter metrics description?
                                                                                  Asked 2022-Feb-10 at 08:34

                                                                                  I'm new to monitoring the k8s cluster with prometheus, node exporter and so on.

                                                                                  I want to know that what the metrics exactly mean for though the name of metrics are self descriptive.

                                                                                  I already checked the github of node exporter, but I got not useful information.

                                                                                  Where can I get the descriptions of node exporter metrics?

                                                                                  Thanks

                                                                                  ANSWER

                                                                                  Answered 2022-Feb-10 at 08:34

                                                                                  There is a short description along with each of the metrics. You can see them if you open node exporter in browser or just curl http://my-node-exporter:9100/metrics. You will see all the exported metrics and lines with # HELP are the description ones:

                                                                                  # HELP node_cpu_seconds_total Seconds the cpus spent in each mode.
                                                                                  # TYPE node_cpu_seconds_total counter
                                                                                  node_cpu_seconds_total{cpu="0",mode="idle"} 2.59840376e+07
                                                                                  

                                                                                  Grafana can show this help message in the editor: Prometheus (with recent experimental editor) can show it too: And this works for all metrics, not just node exporter's. If you need more technical details about those values, I recommend searching for the information in Google and man pages (if you're on Linux). Node exporter takes most of the metrics from /proc almost as-is and it is not difficult to find the details. Take for example node_memory_KReclaimable_bytes. 'Bytes' suffix is obviously the unit, node_memory is just a namespace prefix, and KReclaimable is the actual metric name. Using man -K KReclaimable will bring you to the proc(5) man page, where you can find that:

                                                                                             KReclaimable %lu (since Linux 4.20)
                                                                                                   Kernel allocations that the kernel will attempt to
                                                                                                   reclaim under memory pressure.  Includes
                                                                                                   SReclaimable (below), and other direct allocations
                                                                                                   with a shrinker.
                                                                                  

                                                                                  Finally, if this intention to learn more about the metrics is inspired by the desire to configure alerts for your hardware, you can skip to the last part and grab some alerts shared by the community from here: https://awesome-prometheus-alerts.grep.to/rules#host-and-hardware

                                                                                  Source https://stackoverflow.com/questions/70300286

                                                                                  QUESTION

                                                                                  Prometheus: find max RPS
                                                                                  Asked 2022-Feb-10 at 08:11

                                                                                  Say I have two metrics in Prometheus, both counters:

                                                                                  Ok:

                                                                                  nginx_ingress_controller_requests{prometheus_from="$cluster", ingress="brand-safety-phoenix-service", status="200"}
                                                                                  

                                                                                  Failure:

                                                                                  nginx_ingress_controller_requests{prometheus_from="$cluster", ingress="brand-safety-phoenix-service", status!="200"}
                                                                                  

                                                                                  Total:

                                                                                  nginx_ingress_controller_requests{prometheus_from="$cluster", ingress="brand-safety-phoenix-service"}
                                                                                  

                                                                                  My question is how to find on which RPS failures occurred as promQL query

                                                                                  I'm expecting the following response:

                                                                                  400
                                                                                  

                                                                                  Means, that if pod receives > 400 RPS, Failure metric begin to happen

                                                                                  full query (after got answered)

                                                                                  sum((sum(rate(nginx_ingress_controller_requests{prometheus_from="$cluster", ingress="brand-safety-phoenix-service"}[$__rate_interval])) without (status))
                                                                                    and
                                                                                    (sum(rate(nginx_ingress_controller_requests{prometheus_from="$cluster", ingress="brand-safety-phoenix-service", status !="200"}[$__rate_interval])) without (status) > 0))
                                                                                  

                                                                                  ANSWER

                                                                                  Answered 2022-Feb-08 at 18:32

                                                                                  You need the following query:

                                                                                  rps_total and (rps_failure > 0)
                                                                                  

                                                                                  The and binary operation is used for matching right-hand time series to the left-hand series with the same set of labels. See these docs for details on matching rules.

                                                                                  Let's substitute rps_total and rps_failure with the actual time series given matching rules mentioned above.

                                                                                  • The rps_total is substituted with sum(nginx_ingress_controller_requests{prometheus_from="$cluster", ingress="brand-safety-phoenix-service"}) without (status) . The sum(...) without (status) is needed in order to sum metrics across all the status labels grouped by the remaining labels.

                                                                                  • The rps_failure is substituted with sum(nginx_ingress_controller_requests{prometheus_from="$cluster", ingress="brand-safety-phoenix-service", status!="200"}) without (status)

                                                                                  Then the final PromQL query will look like:

                                                                                  (
                                                                                    sum(nginx_ingress_controller_requests{prometheus_from="$cluster", ingress="brand-safety-phoenix-service"}) without (status)
                                                                                    and
                                                                                    (sum(nginx_ingress_controller_requests{prometheus_from="$cluster", ingress="brand-safety-phoenix-service", status!="200"}) without (status) > 0)
                                                                                  )
                                                                                  

                                                                                  Source https://stackoverflow.com/questions/71021126

                                                                                  QUESTION

                                                                                  Integrate GCP with OpsGenie for Alerts
                                                                                  Asked 2022-Jan-26 at 08:39

                                                                                  It may be a vague question but I couldn't find any documentation regarding the same. Does Google cloud platform have provision to integrate with OpsGenie?

                                                                                  Basically we have set up few alerts in GCP for our Kubernetes Cluster monitoring and we want them to be feeded to OpsGenie for Automatic call outs in case of high priority incidents.

                                                                                  Is it possible?

                                                                                  ANSWER

                                                                                  Answered 2022-Jan-26 at 08:39

                                                                                  Recapping for better visibility:

                                                                                  OpsGenie supports multiple tools, including Google Stackdriver.
                                                                                  Instruction on how to integrate it with Stackdriver webhooks can be found here.

                                                                                  Source https://stackoverflow.com/questions/70753215

                                                                                  QUESTION

                                                                                  Kubernetes pvc in rwx monitoring
                                                                                  Asked 2021-Dec-30 at 19:36

                                                                                  I’ve a PVC in RWX. 2 pods use this PVC. I want to know which pods ask volume to the PVC and when. How can I manage that?

                                                                                  ANSWER

                                                                                  Answered 2021-Dec-03 at 15:33

                                                                                  As far as i know there is no direct way to figure out a PVC is used by which pod To get that info possible workaround is grep through all the pods for the respective pvc :

                                                                                  Ex: 
                                                                                  - To display all the pods and their respective pvcs:
                                                                                  kubectl get pods -o jsonpath='{"POD"}{"\t"}{"PVC Name"}{"\n"}{range .items[*]}{.metadata.name}{"\t"}{range .spec.volumes[*]}{.persistentVolumeClaim.claimName}{"\t"}{end}{"\n"}{end}'
                                                                                  
                                                                                  POD     PVC Name
                                                                                  web1-0  www1-web1-0
                                                                                  web16-0 www16-web16-0
                                                                                  
                                                                                  - To get information about a particular PVC (in this case:www16-web16-0 ) Using grep :
                                                                                  kubectl get pods -o jsonpath='{"POD"}{"\t"}{"PVC Name"}{"\n"}{range .items[*]}{.metadata.name}{"\t"}{range .spec.volumes[*]}{.persistentVolumeClaim.claimName}{"\t"}{end}{"\n"}{end}' | grep 'POD\|www16-web16-0'
                                                                                  POD     PVC Name
                                                                                  web16-0 www16-web16-0
                                                                                  

                                                                                  Source https://stackoverflow.com/questions/70210994

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

                                                                                  Vulnerabilities

                                                                                  No vulnerabilities reported

                                                                                  Install palanteer

                                                                                  You can download it from GitHub.

                                                                                  Support

                                                                                  The complete documentation is accessible inside the repository, and online:.
                                                                                  Find more information at:
                                                                                  Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
                                                                                  Find more libraries
                                                                                  Explore Kits - Develop, implement, customize Projects, Custom Functions and Applications with kandi kits​
                                                                                  Save this library and start creating your kit
                                                                                  Install
                                                                                • PyPI

                                                                                  pip install palanteer

                                                                                • CLONE
                                                                                • HTTPS

                                                                                  https://github.com/dfeneyrou/palanteer.git

                                                                                • CLI

                                                                                  gh repo clone dfeneyrou/palanteer

                                                                                • sshUrl

                                                                                  git@github.com:dfeneyrou/palanteer.git

                                                                                • Share this Page

                                                                                  share link
                                                                                  Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
                                                                                  Find more libraries
                                                                                  Explore Kits - Develop, implement, customize Projects, Custom Functions and Applications with kandi kits​
                                                                                  Save this library and start creating your kit