A Guide to Using OpenTelemetry in Jina for Monitoring and Tracing Applications

1. docarray

   1 32 3,113 4.5 Python

   Represent, send, store and search multimodal data

   

   DocArray to manipulate data and interact with the storage backend using document store.

2. InfluxDB

   www.influxdata.com featured

   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

3. opentelemetry-collector-contrib

   2 68 4,241 10.0 Go

   Contrib repository for the OpenTelemetry Collector

   

   Right now, Jina only supports the export mechanism to push telemetry signals to external systems. It uses OpenTelemetry Collector Contrib as the unified component to collect telemetry signals before exporting to enhanced components that transform the data for visualization and analysis. The collector setup is very basic and functions only as the uniform intermediary for collecting and exporting data.

4. opentelemetry-go

   3 145 6,210 9.9 Go

   OpenTelemetry Go API and SDK

   

   OpenTelemetry is a project incubated by CNCF. It brings distributed tracing and metrics. Pamela has brought us on to implement this telemetry into her Jina Flow. Before getting started we have to learn a few new terms:

5. now

   4 8 588 9.7 Python

   Discontinued 🧞 No-code tool for creating a neural search solution in minutes (by jina-ai)

   

   💡In this post we’re just building out a backend, and not touching on a frontend. To build your own low-code backend+frontend neural search solution, check out Jina NOW.

6. self-hosted

   5 35 9,038 9.3 Shell

   Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept

   

   We use the self-hosted Sentry application landscape to set up the actual APM or SPM. We'll only explore a small set of features supported by Sentry to preserve the focus of this post. Refer to the documentation for more details.

7. finetuner

   6 36 1,466 5.5 Python

   Discontinued :dart: Task-oriented embedding tuning for BERT, CLIP, etc.

   

   We derived the dataset by pre-processing the deepfashion dataset using Finetuner. The image label generated by Finetuner is extracted and formatted to produce the text attribute of each product.

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