2.7 KiB
Planning for Chaos with MongoDB Atlas: Using the “Test Failover” Button | MongoDB
- 期号: SRE Weekly Issue #108（2018-02-04）
- 作者: —
- 链接: https://www.mongodb.com/blog/post/planning-for-chaos-with-mongodb-atlas-using-the-test-failover-button?utm_medium=dzone-synd
简介
A primer on testing failover in a MongoDB Atlas cluster.
正文
The modern multi-cloud database.
Atlas combines the flexible document model with a suite of data services to give you a versatile cloud database that simplifies everything you build.
TRUSTED BY THOUSANDS OF ORGANIZATIONS, INCLUDING
.svg?auto=format%252Ccompress)
Our JSON-like document data model maps to the objects in your application code. Its flexibility allows you to model for a wide variety of use cases while also enabling you to easily evolve your data structures.
Document databases
Time Series
Our unified query API is the most natural way to work with data in any form. Atlas extends MongoDB's flexibility and ease of use to building full-text search, real-time analytics, and event-driven experiences. Build a wide range of application services while keeping your data architecture simple.
Vector Search
Search
Atlas Stream Processing
Query API
Data Federation
Edge and Mobile
A trusted foundation is at the core of everything we offer. Start with built-in data security and recovery defaults, then add the controls you need. Run applications anywhere in the world with the global and multi-cloud reach of Atlas.
End-to-end security
Multi-cloud
Auto Scaling
Atlas CLI
Terraform
AWS CloudFormation
Kubernetes Operator
A multi-cloud database service built for resilience, scale, data privacy, and security.
Build relevance-based search 4x faster and for 77% lower cost than alternative search solutions.
Build intelligent applications powered by semantic search and generative AI over any type of data.
Bring your data to life and get real-time insights with embeddable dashboards and visualizations.
Create and manage your MongoDB Atlas database from the command line.
Seamlessly query, transform, and aggregate data from one or more Atlas databases and AWS S3 buckets.
Archive data from Atlas clusters to fully managed object storage and query it through a single endpoint.