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bastion-tools-0.0.4-1.lbn36.noarch
Utilities to assist in managing BastionLinux hosts.
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Core Linux
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BastionLinux 36
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grafana-alloy-1.9.1-0.1.gitd3d7931.lbn36.x86_64
Grafana Alloy is an open source OpenTelemetry Collector distribution with built-in
Prometheus pipelines and support for metrics, logs, traces, and profiles.
What can Alloy do?
Programmable pipelines: Use a rich expression-based syntax for configuring powerful
observability pipelines.
OpenTelemetry Collector Distribution: Alloy is a distribution of OpenTelemetry Collector
and supports dozens of its components, alongside new components that make use of Alloy's
programmable pipelines.
Big tent: Alloy embraces Grafana's "big tent" philosophy, where Alloy can be used with
other vendors or open source databases. It has components to perfectly integrate with
multiple telemetry ecosystems:
* OpenTelemetry Collector
* Prometheus
* Grafana Loki
* Grafana Pyroscope
Shareable pipelines: Use modules to share your pipelines with the world.
Automatic workload distribution: Configure Alloy instances to form a cluster for
automatic workload distribution.
Centralized configuration support: Alloy supports retrieving its configuration
from a server for centralized configuration management.
Debugging utilities: Use the built-in UI for visualizing and debugging pipelines.
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Network Monitoring
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BastionLinux 36
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grafana-alloy-devel-1.9.1-0.1.gitd3d7931.lbn36.x86_64
Development tools for Alloy; linting and component listing
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Network Monitoring
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BastionLinux 36
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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
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Install this package; and edit the rendering section in your grafana config:
[rendering]
server_url = http://localhost:8081/render
callback_url = http://localhost:3000/
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Network Monitoring
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BastionLinux 36
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grafana-kiosk-1.0.8-1.lbn36.x86_64
Kiosk Utility for Grafana.
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Network Monitoring
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BastionLinux 36
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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
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Network Monitoring
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BastionLinux 36
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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
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BastionLinux 36
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python3-comm-0.1.4-1.lbn36.noarch
Comm provides a way to register a Kernel Comm implementation,
as per the Jupyter kernel protocol. It also provides a base Comm
implementation and a default CommManager that can be used.
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Core Linux
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BastionLinux 36
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python3-debugpy-1.8.0-1.lbn36.x86_64
debugpy is an implementation of the Debug Adapter Protocol for Python.The
source code and the issue tracker is [hosted on GitHub](
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Core Linux
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BastionLinux 36
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taiga-6.8.3-2.lbn36.noarch
KANBAN
Intuitive and simple, yet feature complete Kanban board
Customization to fit your workflow including EPICS and sub-tasks
Multiple workflows with Swim lanes
Extensive filter options & search function
WIP limits
View options like zoom level and user story archive function
Possibility to switch over to Scrum and vice versa
SCRUM
Complete set of boards to plan and show individual sprints from backlog
Backlog & sprint planning including EPICS and sub-tasks
Estimations (possible per role) including project doom-line
Estimation tool (Taiga Seed)
Sprint task board with swim-lanes per user story and zoom function
Burn down chart on project and sprint level
Possibility to switch over to Kanban and vice versa
ISSUES
Integrated and complete issues/bug tracking
Customization of issue types, priorities and severities
Possibility to add issues to sprint
Function to promote issue to user story
Extensive filter options & search function
DASHBOARDS/REPORTING
Complete set of dashboards and reporting possibilities
Team performance dashboard (incl. team health Iocane function)
Full audibility with project timeline
Personal dashboard & notifications
Wiki function
Custom real time reports in your own data editor with CSV URL link
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Business
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BastionLinux 36
