metriport
Metriport is an open-source universal API for healthcare data. (by metriport)
opentelemetry-collector-contrib
Contrib repository for the OpenTelemetry Collector (by open-telemetry)
SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
surveyjs.io
featured
metriport | opentelemetry-collector-contrib | |
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7 | 44 | |
369 | 2,592 | |
2.7% | 4.9% | |
10.0 | 10.0 | |
4 days ago | 4 days ago | |
JavaScript | Go | |
GNU General Public License v3.0 or later | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
metriport
Posts with mentions or reviews of metriport.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-09-18.
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Show HN: HyperDX – open-source dev-friendly Datadog alternative
This could be huge for healthcare companies like Metriport [1] - do you sign BAAs with customers for HIPAA compliance?
[1] https://github.com/metriport/metriport
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Open-source API for integrating with Garmin devices
For any developers here - we recently released an open-source API that allows you to pull data from Garmin devices.
- Metriport: Open-source and universal API for health data
- Show HN: Metriport – Open-source universal API for health data
- Show HN: Metriport – open-source universal API for health data
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We just launched an OSS Health Devices API to help developers gain access to their users’ health data from various wearables, RPM devices, and mHealth apps.
We just launched an open-source API on GitHub that allows developers to gain access to their users’ health data from various wearable, RPM device, and mHealth app sources. After building a health app ourselves previously, we wanted to make the open-source product we wish existed when we were developing our app. We thought it would be useful to share the API here, as many developers in the healthtech space could potentially benefit from it.
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An update from the Metriport team
This being said, we will not be shutting down the app. We have no intentions to kill the project, and in fact are hoping to be able to implement our newly developed and open-source Health Devices API into it at some point, which will allow app users to connect to sources such as Fitbit, Garmin, Oura, Whoop, Withings, and Cronometer, with more integrations on the way. Once we can find the development time to do this, we will push out an update and send out an email announcement to confirm this.
opentelemetry-collector-contrib
Posts with mentions or reviews of opentelemetry-collector-contrib.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-05-06.
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Ask HN: How to do dead simple heartbeat monitoring?
you can add https://github.com/open-telemetry/opentelemetry-collector-co... at signoz's otel-collector which will scrape your service's endpoint periodically. If your service is down, this will give 5xx error and you can set an alert on that.
Another alternative is to use an alert to notify on a metric being absent for sometime. Both of these should work
- OpenTelemetry at Scale: what buffer we can use at the behind to buffer the data?
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All you need is Wide Events, not "Metrics, Logs and Traces"
The open telemetry collector does just that. https://github.com/open-telemetry/opentelemetry-collector-co...
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OpenTelemetry Collector Anti-Patterns
There are two official distributions of the OpenTelemetry Collector: Core, and Contrib.
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OpenTelemetry Journey #00 - Introduction to OpenTelemetry
Maybe, you are asking yourself: "But I already had instrumented my applications with vendor-specific libraries and I'm using their agents and monitoring tools, why should I change to OpenTelemetry?". The answer is: maybe you're right and I don't want to encourage you to update the way how you are doing observability in your applications, that's a hard and complex task. But, if you are starting from scratch or you are not happy with your current observability infrastructure, OpenTelemetry is the best choice, independently of the backend telemetry tool that you are using. I would like to invite you to take a look at the number of exporters available in the collector contrib section, if your backend tracing tool is not there, probably it's already using the Open Telemetry Protocol (OTLP) and you will be able to use the core collector. Otherwise, you should consider changing your backend telemetry tool or contributing to the project creating a new exporter.
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Building an Observability Stack with Docker
To receive OTLP data, you set up the standard otlp receiver to receive data in HTTP or gRPC format. To forward traces and metrics, a batch processor was defined to accumulate data and send it every 100 milliseconds. Then set up a connection to Tempo (in otlp/tempo exporter, with a standard top exporter) and to Prometheus (in prometheus exporter, with a control exporter). A debug exporter also was added to log info on container standard I/O and see how the collector is working.
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Spotlight: Sentry for Development
Thanks for the reply. Would the Spotlight sidecar possibly be able to run independently and consume spans emitted by the Sentry exporter[0] or some other similar flow beyond strictly exporting directly from the Sentry SDK provided by Spotlight?
This tooling looks really cool and I'd love to play around with it, but am already pretty entrenched into OTel and funneling data through the collector and don't want to introduce too much additional overhead for devs.
[0] https://github.com/open-telemetry/opentelemetry-collector-co...
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Amazon EKS Monitoring with OpenTelemetry [Step By Step Guide]
A list of all metric definitions can be found here.
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Spring Boot Monitoring with Open-Source Tools
receivers: otlp: protocols: grpc: endpoint: 0.0.0.0:4317 http: endpoint: 0.0.0.0:4318 hostmetrics: collection_interval: 60s scrapers: cpu: {} disk: {} load: {} filesystem: {} memory: {} network: {} paging: {} process: mute_process_name_error: true mute_process_exe_error: true mute_process_io_error: true processes: {} prometheus: config: global: scrape_interval: 60s scrape_configs: - job_name: otel-collector-binary scrape_interval: 60s static_configs: - targets: ["localhost:8889>"] - job_name: "jvm-metrics" scrape_interval: 10s metrics_path: "/actuator/prometheus" static_configs: - targets: ["localhost:8090>"] processors: batch: send_batch_size: 1000 timeout: 10s # Ref: https://github.com/open-telemetry/opentelemetry-collector-contrib/blob/main/processor/resourcedetectionprocessor/README.md resourcedetection: detectors: [env, system] # Before system detector, include ec2 for AWS, gcp for GCP and azure for Azure. # Using OTEL_RESOURCE_ATTRIBUTES envvar, env detector adds custom labels. timeout: 2s system: hostname_sources: [os] # alternatively, use [dns,os] for setting FQDN as host.name and os as fallback extensions: health_check: {} zpages: {} exporters: otlp: endpoint: "ingest.{region}.signoz.cloud:443" tls: insecure: false headers: "signoz-access-token": logging: verbosity: normal service: telemetry: metrics: address: 0.0.0.0:8888 extensions: [health_check, zpages] pipelines: metrics: receivers: [otlp] processors: [batch] exporters: [otlp] metrics/internal: receivers: [prometheus, hostmetrics] processors: [resourcedetection, batch] exporters: [otlp] traces: receivers: [otlp] processors: [batch] exporters: [otlp] logs: receivers: [otlp] processors: [batch] exporters: [otlp]
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Migrating to OpenTelemetry
If you are using the prometheus exporter, you can use the transform processor to get specific resource attributes into metric labels.
With the advantage that you get only the specific attributes you want, thus avoiding a cardinality explosion.
https://github.com/open-telemetry/opentelemetry-collector-co...