Personal tools
Skip to content. | Skip to navigation
Freezer Disaster Recovery freezer-dr, OpenStack Compute node High Available provides compute node high availability for OpenStack. Simply freezer-dr monitors all compute nodes running in a cloud deployment and if there is any failure in one of the compute nodes freezer-dr will fence this compute node then freezer-dr will try to evacuate all
This is a client library for Freezer built on the OpenStack Disaster Recovery API. It provides a Python API (the freezerclient module) and a command-line tool (freezer). This library fully supports the v1 Disaster Recovery API.
Mission Statement To protect the Data and Metadata that comprises an OpenStack-deployed Application against loss/damage (e.g. backup, replication) by providing a standard framework of APIs and services that allows vendors to provide plugins through a unified interface Open Architecture Design for multiple perspectives: User: Protect App Deployment Configure and manage custom protection plans on the deployed resources (topology, VMs, volumes, images, …) Admin: Define Protectable Resources Decide what plugins protect which resources, what is available for the user Decide where users can protect their resources Vendors: Standard API for protection products Create plugins that implement Protection mechanisms for different OpenStack resources
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.
Sahara provides the ability to elastically manage Apache Hadoop clusters on OpenStack. This package contains the Sahara Python library.
Python client library for interacting with OpenStack Sahara API.
Client library and command line utility for interacting with Openstack Object Storage API.
A library to do [jobs, tasks, flows] in a HA manner using different backends to be used with OpenStack projects.
Library for creating test suites for OpenStack projects.
OpenStack DBaaS (codename trove) provisioning service. This package contains the trove python library.