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RPMPackage python3-opentelemetry-exporter-otlp-1.34.1-1.lbn36.noarch
This library is provided as a convenience to install all supported OpenTelemetry Collector Exporters. Currently it installs: opentelemetry-exporter-otlp-proto-grpc opentelemetry-exporter-otlp-proto-http In the future, additional packages will be available: * opentelemetry-exporter-otlp-json-http To avoid unnecessary dependencies, users should install the specific package once they’ve determined their preferred serialization and protocol method.
RPMPackage python3-opentelemetry-exporter-opencensus-0.29~b0-5.fc36.noarch
This library allows to export traces using OpenCensus.
RPMPackage python3-opentelemetry-exporter-jaeger-thrift-1.21.0-1.lbn36.noarch
Warning Since v1.35, the Jaeger supports OTLP natively. Please use the OTLP exporter instead. Support for this exporter will end July 2023. This library allows to export tracing data to Jaeger using Thrift. Installation pip install opentelemetry-exporter-jaeger-thrift Configuration OpenTelemetry Jaeger Exporter can be configured by setting JaegerExporter parameters or by setting environment variables References OpenTelemetry Jaeger Exporter Jaeger OpenTelemetry Project
RPMPackage python3-opentelemetry-exporter-jaeger-proto-grpc-1.21.0-1.lbn36.noarch
Warning Since v1.35, the Jaeger supports OTLP natively. Please use the OTLP exporter instead. Support for this exporter will end July 2023. This library allows to export tracing data to Jaeger. Installation pip install opentelemetry-exporter-jaeger-proto-grpc Configuration OpenTelemetry Jaeger Exporter can be configured by setting JaegerExporter parameters or by setting environment variables References OpenTelemetry Jaeger Exporter Jaeger OpenTelemetry Project
RPMPackage python3-opentelemetry-exporter-jaeger-1.21.0-1.lbn36.noarch
Warning Since v1.35, the Jaeger supports OTLP natively. Please use the OTLP exporter instead. Support for this exporter will end July 2023. This library is provided as a convenience to install all supported Jaeger Exporters. Currently it installs: * opentelemetry-exporter-jaeger-proto-grpc * opentelemetry-exporter-jaeger-thrift To avoid unnecessary dependencies, users should install the specific package once they’ve determined their preferred serialization method. Installation pip install opentelemetry-exporter-jaeger References OpenTelemetry Jaeger Exporter Jaeger OpenTelemetry Project
RPMPackage python3-opentelemetry-distro+otlp-0.55b1-1.lbn36.noarch
This is a metapackage bringing in otlp extras requires for python3-opentelemetry-distro. It makes sure the dependencies are installed.
RPMPackage python3-opentelemetry-distro-0.55b1-1.lbn36.noarch
Installation pip install opentelemetry-distro This package provides entrypoints to configure OpenTelemetry. References OpenTelemetry Project Example using opentelemetry-distro
RPMPackage python3-opentelemetry-api-1.34.1-1.lbn36.noarch
OpenTelemetry Python API
RPMPackage nagios-selinux-4.4.14-5.lbn36.noarch
SElinux security policy for nagios.
RPMPackage nagios-plugins-bacula-15.0.3-1.lbn36.x86_64
Provides check_bacula support for Nagios.
RPMPackage nagios-contrib-4.4.14-5.lbn36.x86_64
Various contributed items used by plugins and other tools.
RPMPackage nagios-common-4.4.14-5.lbn36.x86_64
Provides common directories, uid and gid among nagios-related packages.
RPMPackage nagios-4.4.14-5.lbn36.x86_64
Nagios is a program that will monitor hosts and services on your network. It has the ability to send email or page alerts when a problem arises and when a problem is resolved. Nagios is written in C and is designed to run under Linux (and some other *NIX variants) as a background process, intermittently running checks on various services that you specify. The actual service checks are performed by separate "plugin" programs which return the status of the checks to Nagios. The plugins are available at https://github.com/nagios-plugins/nagios-plugins This package provides the core program, web interface, and documentation files for Nagios. Development files are built as a separate package.
RPMPackage python3-schedule-1.2.2-1.lbn36.noarch
Python job scheduling for humans. Run Python functions (or any other callable) periodically using a friendly syntax. A simple to use API for scheduling jobs, made for humans. In-process scheduler for periodic jobs. No extra processes needed! Very lightweight and no external dependencies. Excellent test coverage. Tested on Python and 3.7, 3.8, 3.9, 3.10, 3.11, 3.12 Usage $ pip install schedule import schedule import time def job(): print("I'm working...") schedule.every(10).seconds.do(job) schedule.every(10).minutes.do(job) schedule.every().hour.do(job) schedule.every().day.at("10:30").do(job) schedule.every(5).to(10).minutes.do(job) schedule.every().monday.do(job) schedule.every().wednesday.at("13:15").do(job) schedule.every().day.at("12:42", "Europe/Amsterdam").do(job) schedule.every().minute.at(":17").do(job) def job_with_argument(name): print(f"I am {name}") schedule.every(10).seconds.do(job_with_argument, name="Peter") while True: schedule.run_pending() time
RPMPackage python3-anthropic-0.49.0-1.lbn36.noarch
Anthropic Python API library The Anthropic Python library provides convenient access to the Anthropic REST API from any Python 3.8+ application. It includes type definitions for all request params and response fields, and offers both synchronous and asynchronous clients powered by httpx. Documentation The REST API documentation can be found on docs.anthropic.com. The full API of this library can be found in api.md. Installation pip install anthropic Usage The full API of this library can be found in api.md. import os from anthropic import Anthropic client = Anthropic( api_key=os.environ.get("ANTHROPIC_API_KEY"), ) message = client.messages.create( max_tokens=1024, messages=[ { "role": "user", "content": "Hello, Claude", } ], model="claude-3-opus-20240229", ) print(message.content) While you can provide an api_key keyword argument, we recommend using python-d
RPMPackage python3-openlit-1.33.23-1.lbn36.noarch
OpenTelemetry-native AI Observability, Evaluation and Guardrails Framework Documentation | Quickstart | Roadmap | Feature Request | Report a Bug OpenLIT SDK is a monitoring framework built on top of OpenTelemetry that gives your complete Observability for your AI stack, from LLMs to vector databases and GPUs, with just one line of code with tracing and metrics. It also allows you to send the generated traces and metrics to your existing monitoring tools like Grafana, New Relic, and more. This project proudly follows and maintains the Semantic Conventions with the OpenTelemetry community, consistently updating to align with the latest standards in Observability. ⚡ Features 🔎 Auto Instrumentation: Works with 50+ LLM providers, Agents, Vector databases, and GPUs with just one line of code. 🔭 OpenTelemetry-Native Observability SDKs: Vendor-neutral SDKs that can send traces and metrics to your existing observability tool like Prometheus and Jaeger. 💲 Cost Tracking for Custom and F
RPMPackage grafana-pyroscope-0.37.2-0.1.git5dc1ccf.lbn36.x86_64
Grafana Pyroscope is an open source continuous profiling platform. It will help you: Find performance issues and bottlenecks in your code Use high-cardinality tags/labels to analyze your application Resolve issues with high CPU utilization Track down memory leaks Understand the call tree of your application Auto-instrument your code to link profiling data to traces
RPMPackage grafana-kiosk-1.0.8-1.lbn36.x86_64
Kiosk Utility for Grafana.
RPMPackage grafana-image-renderer-3.12.0-1.lbn36.x86_64
Rendering images requires a lot of memory, mainly because Grafana creates browser instances in the background for the actual rendering. We recommend a minimum of 16GB of free memory on the system rendering images. Rendering multiple images in parallel requires an even bigger memory footprint. You can use the remote rendering service in order to render images on a remote system, so your local system resources are not affected. Configuration ------------- Install this package; and edit the rendering section in your grafana config: [rendering] server_url = http://localhost:8081/render callback_url = http://localhost:3000/
RPMPackage grafana-alloy-devel-1.9.1-0.1.gitd3d7931.lbn36.x86_64
Development tools for Alloy; linting and component listing
 
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