monitoring | Server monitoring and data-collection daemon | Monitoring library

 by   sebastien Python Version: 0.9.12 License: No License

kandi X-RAY | monitoring Summary

kandi X-RAY | monitoring Summary

monitoring is a Python library typically used in Performance Management, Monitoring applications. monitoring has no bugs, it has no vulnerabilities, it has build file available and it has high support. You can install using 'pip install monitoring' or download it from GitHub, PyPI.

Server monitoring and data-collection daemon
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              monitoring has a highly active ecosystem.
              It has 443 star(s) with 59 fork(s). There are 30 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 12 open issues and 7 have been closed. On average issues are closed in 65 days. There are 2 open pull requests and 0 closed requests.
              It has a positive sentiment in the developer community.
              The latest version of monitoring is 0.9.12

            kandi-Quality Quality

              monitoring has 0 bugs and 0 code smells.

            kandi-Security Security

              monitoring has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              monitoring code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              monitoring does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              monitoring releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              monitoring saves you 714 person hours of effort in developing the same functionality from scratch.
              It has 1650 lines of code, 218 functions and 15 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed monitoring and discovered the below as its top functions. This is intended to give you an instant insight into monitoring implemented functionality, and help decide if they suit your requirements.
            • Run the loop
            • Create a runner
            • Create a runner for the given rule
            • Creates a new runner
            • Run the CPU
            • Compute CPU usage
            • Read content from file
            • Return the CPU statistics
            • Called when a rule is finished
            • Run the run function
            • Run a command
            • Run the HTTP request
            • Start the daemon
            • Runs the runner
            • Run the process with the given command
            • Start the terminal
            • Run jenkins
            • Start the process
            • Runs the command
            • Show status of Tmux
            • Searches for a given command
            • Log a runner
            • Return a ZMQ socket object
            • Run the network interface
            • Run the process
            • Sends an email
            Get all kandi verified functions for this library.

            monitoring Key Features

            No Key Features are available at this moment for monitoring.

            monitoring Examples and Code Snippets

            Start monitoring a pod .
            javadot img1Lines of Code : 47dot img1License : Permissive (MIT License)
            copy iconCopy
            public static void main(String[] args) throws Exception {
            
                    ApiClient client = Config.defaultClient();
            
                    // Optional, put helpful during tests: disable client timeout and enable
                    // HTTP wire-level logs
                    HttpLoggingInterce  
            Context manager for monitoring metrics .
            pythondot img2Lines of Code : 16dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def monitored_timer(metric_name, state_tracker=None):
              """Monitor the execution time and collect it into the specified metric."""
              if not enable_metrics:
                yield
              else:
                if not _METRICS_MAPPING:
                  _init()
                start_time = time.time()
                  
            Runs the monitoring .
            javadot img3Lines of Code : 13dot img3License : Non-SPDX
            copy iconCopy
            public void run() {
                final var executorService = Executors.newSingleThreadScheduledExecutor();
                executorService.scheduleAtFixedRate(new Runnable() {
                  final World world = new World();
            
                  @Override
                  public void run() {
                    var c  

            Community Discussions

            QUESTION

            How to fix SageMaker data-quality monitoring-schedule job that fails with 'FailureReason': 'Job inputs had no data'
            Asked 2022-Feb-26 at 04:38

            I am trying to schedule a data-quality monitoring job in AWS SageMaker by following steps mentioned in this AWS documentation page. I have enabled data-capture for my endpoint. Then, trained a baseline on my training csv file and statistics and constraints are available in S3 like this:

            ...

            ANSWER

            Answered 2022-Feb-26 at 04:38

            This happens, during the ground-truth-merge job, when the spark can't find any data either in '/opt/ml/processing/groundtruth/' or '/opt/ml/processing/input_data/' directories. And that can happen when either you haven't sent any requests to the sagemaker endpoint or there are no ground truths.

            I got this error because, the folder /opt/ml/processing/input_data/ of the docker volume mapped to the monitoring container had no data to process. And that happened because, the thing that facilitates entire process, including fetching data couldn't find any in S3. and that happened because, there was an extra slash(/) in the directory to which endpoint's captured-data will be saved. to elaborate, while creating the endpoint, I had mentioned the directory as s3:////, while it should have just been s3:///. so, while the thing that copies data from S3 to docker volume tried to fetch data of that hour, the directory it tried to extract the data from was s3://////////(notice the two slashes). So, when I created the endpoint-configuration again with the slash removed in S3 directory, this error wasn't present and ground-truth-merge operation was successful as part of model-quality-monitoring.

            I am answering this question because, someone read the question and upvoted it. meaning, someone else has faced this problem too. so, I have mentioned what worked for me. And I wrote this, so that StackExchange doesn't think I am spamming the forum with questions.

            Source https://stackoverflow.com/questions/69179914

            QUESTION

            Add Kubernetes scrape target to Prometheus instance that is NOT in Kubernetes
            Asked 2022-Feb-13 at 20:24

            I run prometheus locally as http://localhost:9090/targets with

            ...

            ANSWER

            Answered 2021-Dec-28 at 08:33

            There are many agents capable of saving metrics collected in k8s to remote Prometheus server outside the cluster, example Prometheus itself now support agent mode, exporter from Opentelemetry, or using managed Prometheus etc.

            Source https://stackoverflow.com/questions/70457308

            QUESTION

            getifaddrs returning 'bad file descriptor'/crashing the application
            Asked 2022-Jan-18 at 10:47

            In my program, I have a thread which has to continuously monitor the network interfaces therefore it continuosly uses getifaddrs() in a while loop.

            ...

            ANSWER

            Answered 2021-Dec-06 at 08:59

            According to man7.org getifaddrs, any of the socket operations could be a cause for EBADF

            ERRORS

            getifaddrs() may fail and set errno for any of the errors specified for socket(2), bind(2), getsockname(2), recvmsg(2), sendto(2), malloc(3), or realloc(3).

            Unrelated, but do you do freeifaddrs() somewhere?

            Source https://stackoverflow.com/questions/70242848

            QUESTION

            Filter the parts of a Request Path which match against a Static Segment in Servant
            Asked 2022-Jan-02 at 18:53

            Supposing I'm running a Servant webserver, with two endpoints, with a type looking like this:

            ...

            ANSWER

            Answered 2022-Jan-02 at 18:53

            The pathInfo function returns all the path segments for a Request. Perhaps we could define a typeclass that, given a Servant API, produced a "parser" for the list of segments, whose result would be a formatted version of the list.

            The parser type could be something like:

            Source https://stackoverflow.com/questions/70439647

            QUESTION

            CloudScheduler 403 Permission denied while creating
            Asked 2021-Dec-22 at 05:07

            I am trying to create a Cron job programmatically in the CloudScheduler Google Cloud Platform using the following API explorer.

            Reference: Cloud Scheduler Documentation

            Even though I have given the user Owner permission and verified it in Policy Troubleshooter that it has cloudscheduler.jobs.create, I am still getting the following error.

            ...

            ANSWER

            Answered 2021-Dec-16 at 14:42

            The error is caused by using a service account that does not have an IAM role that includes the permission cloudscheduler.jobs.create. An example role is roles/cloudscheduler.admin aka Cloud Scheduler Admin. I have the feeling that you have mixed the permission of the service account that you use with Cloud Scheduler (at runtime, when a job triggers something) and the permission of the account currently creating the job (aka your account for example).

            You actually need two service accounts for the job to get created. You need one that you set up yourself (can be whatever name you like and doesn't require any special permissions) and you also need the one for the default Cloud Scheduler itself ( which is managed by Google)

            1. Use an existing service account to be used for the call from Cloud Scheduler to your HTTP target or you can create a new service account for this purpose. The service account must belong to the same project as the one in which the Cloud Scheduler jobs are created. This is the client service account. Use this one when specifying the service account to generate the OAuth / OICD tokens. If your target is part of Google Cloud, like Cloud Functions/Cloud Run update your client service account by granting it the necessary IAM role (Cloud function invoker for cloud functions and Cloud Run Invoker for Cloud Run).The receiving service automatically verifies the generated token. If your target is outside of Google Cloud, the receiving service must manually verify the token.

            2. The other service account is the default Cloud Scheduler service account which must also be present in your project and have the Cloud Scheduler Service Agent role granted to it. This is so it can generate header tokens on behalf of your client service account to authenticate to your target. The Cloud Scheduler service account with this role granted is automatically set up when you enable the Cloud Scheduler API, unless you enabled it prior to March 19, 2019, in which case you must add the role manually.

            Note : Do not remove the service-YOUR_PROJECT_NUMBER@gcp-sa-cloudscheduler.iam.gserviceaccount.com service account from your project, or its Cloud Scheduler Service Agent role. Doing so will result in 403 responses to endpoints requiring authentication, even if your job's service account has the appropriate role.

            Source https://stackoverflow.com/questions/70376512

            QUESTION

            Elastic Beanstalk deleting generated files on config changes
            Asked 2021-Dec-20 at 23:51

            On Elastic Beanstalk, with an AWS Linux 2 based environment, updating the Environment Properties (i.e. environment variables) of an environment causes all generated files to be deleted. It also doesn't run container_commands as part of this update.

            So, for example, I have a Django project with collectstatic in the container commands:

            ...

            ANSWER

            Answered 2021-Dec-20 at 23:51

            The solution is to use a Configuration deployment platform hook for any commands that change the files in the deployment directory. Note that this is different from an Application deployment platform hook.

            Using the example of the collectstatic command, the best thing to do is to move it from a container command to a pair of hooks, one for standard deployments and one for configuration changes.

            To do this, remove the collectstatic container command. Then, make two identical files:

            • .platform/confighooks/predeploy/predeploy.sh
            • .platform/hooks/predeploy/predeploy.sh

            Each file should have the following code:

            Source https://stackoverflow.com/questions/70386134

            QUESTION

            GCP alert if Docker container exits
            Asked 2021-Dec-16 at 07:46

            We are using Google Cloud Platform and its service Compute Engine. We have Docker installed on one of our VM instances (which is part of Compute Engine). Can we set up an alert in GCP Monitoring to be triggered when a container exits?

            ...

            ANSWER

            Answered 2021-Dec-16 at 07:46

            Yes. You have to configure docker with Cloud logging driver, create a log based metric and an alerting policy on that metric.

            Solution:

            Configure docker with cloud logging driver.

            • SSH to your instance.

            • Run this command as root: dockerd --log-driver=gcplogs. This will forward your docker logs to Google Cloud Logging.

            • If running a container-optimized OS then follow these steps:

              echo '{"log-driver":"gcplogs"}' | sudo tee /etc/docker/daemon.json

              sudo systemctl restart docker

            • Try starting and exiting a container.

            These are the logs generated whenever we exit a container. Keep in mind the two exit messages

            Create a log based metric

            • Go to Logging -> Select Log-based Metrics.

            • Click on Create Metric.

            • Metric Type: Counter. In Details, enter a Log Metric name (e.g. mysite-container-exited)

            • Under Filter Selection -> Build filter, copy the following code

              resource.type="gce_instance"

              log_name="projects/myproject-12345/logs/gcplogs-docker-driver" replace myproject-12345 with your project name.

              jsonPayload.container.name="/mysite" change mysite to your container name.

              jsonPayload.message=~"exit$" This is regex that matches exit as the last word in a line.

            It should look something like this.

            Create an alerting policy

            • Go to Monitoring -> Select Alerting.
            • Click on Create Policy.
            • Click on Select a Metric and search for your metric name (e.g. mysite-container-exited).
            • Select your metric and click on Apply.
            • Set Rolling window to 2 min and Rolling window function to count. Click Next.
            • Set Alert Trigger to Any time series violates, Threshold postion to Above threshold and Threshold value to 1. Click Next.
            • Select a notification Channel to send alerts to. If none exists then click on Manage Notification Channels and create one.
            • Easiest one would be to add an email for notification channel.
            • After creating go back, click on Refresh icon in Notification Channels and select it. Click ok.
            • Click on Save Policy.

            As we have seen that two exit commands are issued per container to the logs whenever we exit a container, thats's why the threshold is set to above 1.

            You can monitor more containers by creating a new metric and changing the value of jsonPayload.container.name="/mysite" to your container name.

            Now try to start and stop the container. You will receive an alert on email in 2-3 minutes.

            Source https://stackoverflow.com/questions/70345830

            QUESTION

            How to make Spring Boot Actuator available via JMX with globally enabled lazy initialization?
            Asked 2021-Dec-13 at 22:11

            In our Spring Boot 2.4+ based applications we need to have configured that initialization should be performed lazily in application.properties:

            ...

            ANSWER

            Answered 2021-Oct-14 at 11:59

            This is a bug in Spring Boot for which I've just opened an issue. Thanks for bringing it to our attention.

            You can work around the problem by excluding the bean that exports the endpoints to JMX from lazy initialization. To do so, add the following bean to your application:

            Source https://stackoverflow.com/questions/69569955

            QUESTION

            Monitor language specific API Calls for Microsoft Translator API
            Asked 2021-Dec-03 at 06:23

            Is there any way to monitor the Language Specific USAGE of Translator API (e.g. xx number of characters for english to japanese for Microsoft Translator API. I couldn't see any such metrics in the Metrics Monitoring Section.

            ...

            ANSWER

            Answered 2021-Nov-22 at 10:06

            Currently it's not available, We have added to Azure metrics feature request to the Translator service and it will be added in the near future.

            Source https://stackoverflow.com/questions/69940928

            QUESTION

            switchMap combined with mergeMap
            Asked 2021-Dec-01 at 12:46

            I have an Observable where each new value should cause an HTTP request. On the client-side I only care about the latest response value; however, I want every request to complete for monitoring/etc. purposes.

            What I currently have is something like:

            ...

            ANSWER

            Answered 2021-Nov-23 at 01:01

            I believe that you need a combination of concatMap() and last().

            concatMap does not subscribe to the next observable until the previous completes. Using it you will ensure the order of requests execution. And as it follows from the description it doesn't cancel previous subscriptions and let them finish, unlike switchMap.

            last emits the last value emitted from the source on completion. Using it you will ensure that only one (last) result will be passed to the result.

            Your code will look like that:

            Source https://stackoverflow.com/questions/70073963

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

            Vulnerabilities

            No vulnerabilities reported

            Install monitoring

            You can install using 'pip install monitoring' or download it from GitHub, PyPI.
            You can use monitoring like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            Install
          • PyPI

            pip install monitoring

          • CLONE
          • HTTPS

            https://github.com/sebastien/monitoring.git

          • CLI

            gh repo clone sebastien/monitoring

          • sshUrl

            git@github.com:sebastien/monitoring.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Explore Related Topics

            Consider Popular Monitoring Libraries

            netdata

            by netdata

            sentry

            by getsentry

            skywalking

            by apache

            osquery

            by osquery

            cat

            by dianping

            Try Top Libraries by sebastien

            cuisine

            by sebastienPython

            k7

            by sebastienC

            sink

            by sebastienPython

            sugar

            by sebastienPython

            revoco

            by sebastienC