Marcus Rueckert
darix
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Involved Projects and Packages
TinyCDB is a very fast and simple package for creating and reading constant
data bases, a data structure introduced by Dan J. Bernstein in his cdb package.
It may be used to speed up searches in a sequence of (key,value) pairs with
very big number of records. Example usage is indexing a big list of users -
where a search will require linear reading of a large /etc/passwd file, and for
many other tasks. It's usage/API is similar to ones found in BerkeleyDB, gdbm
and traditional *nix dbm/ndbm libraries, and is compatible in great extent to
cdb-0.75 package by Dan Bernstein.
CDB is a constant database, that is, it cannot be updated at a runtime, only
rebuilt. Rebuilding is atomic operation and is very fast - much faster than of
many other similar packages. Once created, CDB may be queried, and a query
takes very little time to complete.
UCARP allows a couple of hosts to share common virtual IP addresses in order to
provide automatic failover. It is a portable userland implementation of the
secure and patent-free Common Address Redundancy Protocol (CARP, OpenBSD’s
alternative to the patents-bloated VRRP).
Strong points of the CARP protocol are: very low overhead, cryptographically
signed messages, interoperability between different operating systems and no
need for any dedicated extra network link between redundant hosts.
Authors:
---------
* Frank DENIS
* Eric Evans
* David H
* Richard Bellamy
* Russell Mosemann - neutral mode and bug fixes.
LONG DESCRIPTION
XBT Tracker is a BitTorrent tracker written in C++. It's designed to offer high
performance while consuming little resources (CPU and RAM). It's a pure
tracker, so it doesn't offer a frontend.
Authors:
--------
Olaf van der Spek
only use if you know what you are doing.
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.
for develing
Woof
This project was created for package blender via attribute OBS:Maintained
This project was created for package gimp via attribute OBS:Maintained
This project was created for package qt6-declarative via attribute OBS:Maintained
This project was created for package libqt5-qtdeclarative via attribute OBS:Maintained
This project was created for package ardour via attribute OBS:Maintained
This project was created for package mxml via attribute OBS:Maintained
This project was created for package rclone via attribute OBS:Maintained
This project was created for package postgresql10 via attribute OBS:Maintained
This project was created for package salt via attribute OBS:Maintained
A few examples to show git based workflows for containers in OBS
see title
packaging gmane for opensuse