If you add this repository to your openSUSE installation, make sure it has a higher repository priority in zypper. Otherwise you will end up using the wrong dependencies depending on your openSUSE release.

DON'T SUBMIT HERE DIRECTLY, USE Cloud:OpenStack:Victoria:Staging!

If you add this repository to your openSUSE installation, make sure it has a higher repository priority in zypper. Otherwise you will end up using the wrong dependencies depending on your openSUSE release.

DON'T SUBMIT HERE DIRECTLY, USE Cloud:OpenStack:Wallaby:Staging!

If you add this repository to your openSUSE installation, make sure it has a higher repository priority in zypper. Otherwise you will end up using the wrong dependencies depending on your openSUSE release.

DON'T SUBMIT HERE DIRECTLY, USE Cloud:OpenStack:Xena:Staging!

If you add this repository to your openSUSE installation, make sure it has a higher repository priority in zypper. Otherwise you will end up using the wrong dependencies depending on your openSUSE release.

DON'T SUBMIT HERE DIRECTLY, USE Cloud:OpenStack:Yoga:Staging!

If you add this repository to your openSUSE installation, make sure it has a higher repository priority in zypper. Otherwise you will end up using the wrong dependencies depending on your openSUSE release.

DON'T SUBMIT HERE DIRECTLY, USE Cloud:OpenStack:Zed:Staging!

Cloud related tools such as instance initialization code, CLI tools to interact with Cloud frameworks, etc.

Dependencies for packages maintained in this repository are collected in TLA-TARGET-aggregate packages if there is more than 1 dependency we need from a given project.

Where:

TLA is a Three-Letter-Acronym for the origin project from which the packages within are aggregated.
TARGET is the build target for which these packages are aggregated

For example dlp-sle12-aggregates collects all the packages that are pulled from devel:languages:python for SLE 12 base distribution build targets

Configuration and customization of cloud instance

Configuration and customization of cloud instance

Handle with care. No warranties. This
software is provided as is and no fitness for a particular purpose is
claimed. No money back guarantee. 20% discount except for bits and bytes.

A simple API for XML processing.

libeatmydata is a small LD_PRELOAD library designed to (transparently) disable fsync (and friends, like open(O_SYNC)). This has two side-effects: making software that writes data safely to disk a lot quicker and making this software no longer crash safe.

Jenkins monitors executions of repeated jobs, such as building a software
project or jobs run by cron. Among those things, current Jenkins focuses
on the following two jobs:

1. Building/testing software projects continuously, just like
CruiseControl or DamageControl. In a nutshell, Jenkins provides an
easy-to-use so-called continuous integration system, making it
easier for developers to integrate changes to the project, and
making it easier for users to obtain a fresh build. The automated,
continuous build increases the productivity.
2. Monitoring executions of externally-run jobs, such as cron jobs and
procmail jobs, even those that are run on a remote machine. For
example, with cron, all you receive is regular e-mails that capture
the output, and it is up to you to look at them diligently and notice
when it broke. Jenkins keeps those outputs and makes it easy for you
to notice when something is wrong.

Jenkins monitors executions of repeated jobs, such as building a software
project or jobs run by cron. Among those things, current Jenkins focuses
on the following two jobs:

1. Building/testing software projects continuously, just like
CruiseControl or DamageControl. In a nutshell, Jenkins provides an
easy-to-use so-called continuous integration system, making it
easier for developers to integrate changes to the project, and
making it easier for users to obtain a fresh build. The automated,
continuous build increases the productivity.
2. Monitoring executions of externally-run jobs, such as cron jobs and
procmail jobs, even those that are run on a remote machine. For
example, with cron, all you receive is regular e-mails that capture
the output, and it is up to you to look at them diligently and notice
when it broke. Jenkins keeps those outputs and makes it easy for you
to notice when something is wrong.

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.

The plugin is designed to be a generic container for different 2nd factor
authentication mechanisms paired with different ways to store the related data
for Roundcube user accounts. Both drivers and storage backends are derived from
abstract classes which define the common interface and are configurable.

A browser-based multilingual IMAP client with an application-like user
interface. It provides full functionality you expect from an email client,
including MIME support, address book, folder manipulation, message searching
and spell checking.

Application Passwords for Roundcube.

In a neat modern way.

CardDAV plugin for the RoundCube Webmailer

contextmenu plugin for the RoundCube Webmailer

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.

home:gygyegy22w7612:branches:openSUSE:Factory:staging