Backports for SLE_15-SP5

Backports SLE-15-SP6

Backports SLE-15-SP7

Checks

Backports for SLES-16

Backports for SLES-16.1

This project was created for package openSUSE-Leap-15.7-JeOS via attribute OBS:Maintained

This project was created for package backports-snapshot via attribute OBS:Maintained

development

This project is used by bigironman to prepare packages for openSUSE:Factory submissions. Usually all package changes should get submitted here for review and testing first.

REPOSITORIES REMOVED BY ADMIN DUE AS ANNOUNCED

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Leap-16.0

Packages for SLE-15-SP6

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
* Kubernetes-native: Use components to interact with native and custom
Kubernetes resources; no need to learn how to use a separate Kubernetes
operator.
* 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.

Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation
system inspired by Prometheus.

This package contains the Loki server.

Grafana Mimir is an open source software project that provides a scalable long-term storage for Prometheus. Some of the core strengths of Grafana Mimir include:

Easy to install and maintain: Grafana Mimir’s extensive documentation, tutorials, and deployment tooling make it quick to get started. Using its monolithic mode, you can get Grafana Mimir up and running with just one binary and no additional dependencies. Once deployed, the best-practice dashboards, alerts, and runbooks packaged with Grafana Mimir make it easy to monitor the health of the system.
Massive scalability: You can run Grafana Mimir's horizontally-scalable architecture across multiple machines, resulting in the ability to process orders of magnitude more time series than a single Prometheus instance. Internal testing shows that Grafana Mimir handles up to 1 billion active time series.
Global view of metrics: Grafana Mimir enables you to run queries that aggregate series from multiple Prometheus instances, giving you a global view of your systems. Its query engine extensively parallelizes query execution, so that even the highest-cardinality queries complete with blazing speed.
Cheap, durable metric storage: Grafana Mimir uses object storage for long-term data storage, allowing it to take advantage of this ubiquitous, cost-effective, high-durability technology. It is compatible with multiple object store implementations, including AWS S3, Google Cloud Storage, Azure Blob Storage, OpenStack Swift, as well as any S3-compatible object storage.
High availability: Grafana Mimir replicates incoming metrics, ensuring that no data is lost in the event of machine failure. Its horizontally scalable architecture also means that it can be restarted, upgraded, or downgraded with zero downtime, which means no interruptions to metrics ingestion or querying.
Natively multi-tenant: Grafana Mimir’s multi-tenant architecture enables you to isolate data and queries from independent teams or business units, making it possible for these groups to share the same cluster. Advanced limits and quality-of-service controls ensure that capacity is shared fairly among tenants.

Grafana Tempo is an open source, easy-to-use and high-scale distributed tracing
backend. Tempo is cost-efficient, requiring only object storage to operate, and
is deeply integrated with Grafana, Prometheus, and Loki.

Tempo is Jaeger, Zipkin, Kafka, OpenCensus and OpenTelemetry compatible. It
ingests batches in any of the mentioned formats, buffers them and then writes
them to Azure, GCS, S3 or local disk. As such, it is robust, cheap and easy to
operate!

Tempo implements TraceQL, a traces-first query language inspired by LogQL and
PromQL. This query language allows users to very precisely and easily select
spans and jump directly to the spans fulfilling the specified conditions

Vector is a high-performance, end-to-end (agent & aggregator) observability
data pipeline that puts you in control of your observability data. Collect,
transform, and route all your logs and metrics to any vendors you want today
and any other vendors you may want tomorrow. Vector enables dramatic cost
reduction, novel data enrichment, and data security where you need it, not
where it is most convenient for your vendors. Additionally, it is open source
and up to 10x faster than every alternative in the space.

PAM (Pluggable Authentication Modules) is a system security tool that
allows system administrators to set authentication policies without
having to recompile programs that do authentication.