plone

grafana-loki-promtail-3.3.2-0.1.git23b5fc2.lbn36.x86_64
Promtail is an agent which ships the contents of local logs to a private Loki instance or Grafana Cloud. It is usually deployed to every machine that has applications needed to be monitored. It primarily: Discovers targets Attaches labels to log streams Pushes them to the Loki instance. Currently, Promtail can tail logs from two sources: local log files and the systemd journal
Located in LBN / … / Network Monitoring / BastionLinux 36
grafana-mimir-2.15.0-0.1.git24e4281.lbn36.x86_64
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 playbooks 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.
Located in LBN / … / Network Monitoring / BastionLinux 36
grafana-mimir-tools-2.15.0-0.1.git24e4281.lbn36.x86_64
Addition tsdb management tools for Mimir
Located in LBN / … / Network Monitoring / BastionLinux 36
grafana-oncall-1.14.3-1.lbn36.noarch
Collect and analyze alerts from multiple monitoring systems On-call rotations based on schedules Automatic escalations Phone calls, SMS, Slack, Telegram notifications
Located in LBN / … / Network Monitoring / BastionLinux 36
grafana-pcp-3.2.0-3.fc36.x86_64
This Grafana plugin for Performance Co-Pilot includes datasources for scalable time series from pmseries(1) and Redis, live PCP metrics and bpftrace scripts from pmdabpftrace(1), as well as several dashboards.
Located in LBN / … / Network Monitoring / BastionLinux 36
grafana-tempo-2.7.0-0.1.gitb0da6b4.lbn36.x86_64
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 can be used with any of the open source tracing protocols, including Jaeger, Zipkin, OpenCensus, Kafka, and OpenTelemetry. It supports key/value lookup only and is designed to work in concert with logs and metrics (exemplars) for discovery. 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!
Located in LBN / … / Network Monitoring / BastionLinux 36
grafana-tempo-client-2.7.0-0.1.gitb0da6b4.lbn36.x86_64
Client-side tools for Tempo.
Located in LBN / … / Network Monitoring / BastionLinux 36
python3-apache-airflow-2.9.2-1.lbn36.noarch
Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.
Located in LBN / … / Big Data / BastionLinux 36
python3-apache-airflow-airbyte-2.8.0-2.lbn36.noarch
Apache/Airflow airbyte provider
Located in LBN / … / Big Data / BastionLinux 36
python3-apache-airflow-alibaba-2.8.0-2.lbn36.noarch
Apache/Airflow alibaba provider
Located in LBN / … / Big Data / BastionLinux 36

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