opentelemetry-collector-contrib
podman
Our great sponsors
opentelemetry-collector-contrib | podman | |
---|---|---|
43 | 358 | |
2,546 | 21,729 | |
5.8% | 3.4% | |
10.0 | 10.0 | |
5 days ago | 1 day ago | |
Go | Go | |
Apache License 2.0 | Apache License 2.0 |
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.
opentelemetry-collector-contrib
- OpenTelemetry at Scale: what buffer we can use at the behind to buffer the data?
-
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...
-
OpenTelemetry Collector Anti-Patterns
There are two official distributions of the OpenTelemetry Collector: Core, and Contrib.
-
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.
-
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.
-
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...
-
Amazon EKS Monitoring with OpenTelemetry [Step By Step Guide]
A list of all metric definitions can be found here.
-
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]
-
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...
-
Exploring the OpenTelemetry Collector
OpenTelemetry Operators
podman
-
Podman 5.0 has been released
Example of why: https://github.com/containers/podman/issues/5102#issuecommen...
-
Exploring 5 Docker Alternatives: Containerization Choices for 2024
Podman
- Podman 5.0.0: final release candidate
-
A Gentle Introduction to Containerization and Docker
Even though we will focus on Docker for this article, I wanted to mention that there are more container creation and management tools such as Podman, Rkt, and so on.
-
A Journey to Find an Ultimate Development Environment
By using containerization, the application will always have the same configuration that is used in the development environment and production environment. There is no more "It works on my machine". Some examples of containerization technologies are Docker and Podman.
-
Anatomy of Docker
Podman Documentation. Podman is a daemonless container engine for developing, managing, and running OCI Containers on your Linux System.
-
Exploring Podman: A More Secure Docker Alternative
AFAIK podman either already supports pods in quadlet container files, or will in the near future. https://github.com/containers/podman/pull/20762
-
Podman Desktop 1.6 released: Even more Kubernetes and Containers features
Podman as a devcontainers engine doesn't currently work if you use devcontainer features [1] or (and this sounds like you're issue) if you use WSL2.
I haven't submitted the WSL2 issue to the Podman team yet. If you get to it before I do, can you like it here?
https://github.com/containers/podman/issues/18691#issuecomme...
-
Oracle data base
You can also use their Oracle Linux Docker images with the database preinstalled using either Podman or Docker. Just make absolutely sure you are downloading something you are licensed to use, because it seems really easy to accidentally infringe copyright via this method.
-
A call for Podman comparison charts
It's an open source project. https://github.com/containers/podman and https://podman.io - go there, get engaged, see what's going on and most important become part of the community and contribute!
What are some alternatives?
uptrace - Open source APM: OpenTelemetry traces, metrics, and logs
Portainer - Making Docker and Kubernetes management easy.
cockpit-podman - Cockpit UI for podman containers
lima - Linux virtual machines, with a focus on running containers
signoz - SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool
kaniko - Build Container Images In Kubernetes
podman-compose - a script to run docker-compose.yml using podman
rancher - Complete container management platform
traefik - The Cloud Native Application Proxy
containerd - An open and reliable container runtime
serilog-sinks-seq - A Serilog sink that writes events to the Seq structured log server
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...