Search results for prometheus

bastion-product-rabbitmq-exporter-1.0.0-0.1.lbn36.noarch

Our Subscription Manager utilises X509 certificates to define the product(s) a system is built upon/subscribed to. This is the product for prometheus rabbitmq exporter

bastion-product-redis-exporter-1.44.0-0.1.lbn36.noarch

Our Subscription Manager utilises X509 certificates to define the product(s) a system is built upon/subscribed to. This is the product for Prometheus Exporter for Redis Metrics. Supports Redis 2.x, 3.x, 4.x, 5.x and 6.x

bastion-product-snmp-exporter-0.20.0-0.1.lbn36.noarch

Our Subscription Manager utilises X509 certificates to define the product(s) a system is built upon/subscribed to. This is the product for SNMP exporter for the Prometheus monitoring system

bastion-product-squid-exporter-1.10.3-0.1.lbn36.noarch

Our Subscription Manager utilises X509 certificates to define the product(s) a system is built upon/subscribed to. This is the product for Prometheus Exporter Squid

bastion-product-statsd-exporter-0.26.0-0.1.lbn36.noarch

Our Subscription Manager utilises X509 certificates to define the product(s) a system is built upon/subscribed to. This is the product for StatsD to Prometheus metrics exporter

BastionLinux/Grafana manual page

grafana-loki-1.2.0-0.3.gitccef3da.lbn25.x86_64

Like Prometheus, but for logs.

grafana-loki-3.0.0-0.1.gitb4f7181.lbn36.x86_64

Loki: like Prometheus, but for logs. Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate. It does not index the contents of the logs, but rather a set of labels for each log stream. Compared to other log aggregation systems, Loki: does not do full text indexing on logs. By storing compressed, unstructured logs and only indexing metadata, Loki is simpler to operate and cheaper to run. indexes and groups log streams using the same labels you’re already using with Prometheus, enabling you to seamlessly switch between metrics and logs using the same labels that you’re already using with Prometheus. is an especially good fit for storing Kubernetes Pod logs. Metadata such as Pod labels is automatically scraped and indexed. has native support in Grafana (needs Grafana v6.0). A Loki-based logging stack consists of 3 components: promtail is the agent, responsible for gathering logs and sending them to Loki. loki is the main server, responsible for storing logs and processing queries. Grafana for querying and displaying the logs. Loki is like Prometheus, but for logs: we prefer a multidimensional label-based approach to indexing, and want a single-binary, easy to operate system with no dependencies. Loki differs from Prometheus by focusing on logs instead of metrics, and delivering logs via push, instead of pull.

grafana-loki-3.0.0-0.1.gitb4f7181.lbn36.x86_64

Loki: like Prometheus, but for logs. Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate. It does not index the contents of the logs, but rather a set of labels for each log stream. Compared to other log aggregation systems, Loki: does not do full text indexing on logs. By storing compressed, unstructured logs and only indexing metadata, Loki is simpler to operate and cheaper to run. indexes and groups log streams using the same labels you’re already using with Prometheus, enabling you to seamlessly switch between metrics and logs using the same labels that you’re already using with Prometheus. is an especially good fit for storing Kubernetes Pod logs. Metadata such as Pod labels is automatically scraped and indexed. has native support in Grafana (needs Grafana v6.0). A Loki-based logging stack consists of 3 components: promtail is the agent, responsible for gathering logs and sending them to Loki. loki is the main server, responsible for storing logs and processing queries. Grafana for querying and displaying the logs. Loki is like Prometheus, but for logs: we prefer a multidimensional label-based approach to indexing, and want a single-binary, easy to operate system with no dependencies. Loki differs from Prometheus by focusing on logs instead of metrics, and delivering logs via push, instead of pull.

grafana-mimir-2.7.2-0.1.git76a1021.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.