|Description||Intelligent Monitoring for DevOps|
|Series A, 7/2012 |
Bain Capital Ventures
|Series B, 9/2013 |
Flybridge Capital Partners
Bain Capital Ventures
Stackdriver provides a powerfully simple monitoring service for cloud-powered applications that helps DevOps spend more time on dev and less on ops.
Since its inception in 2012, Stackdriver has focused on helping cloud-powered companies address performance bottlenecks before they impact customers while reducing the burden associated with patchwork monitoring solutions. Stackdriver Intelligent Monitoring includes several breakthrough features, such as:
● Rapid Stack Discovery, which discovers and maps relationships between key system, application, and infrastructure resources within minutes of deployment.
● Stack Scanner, an analytics engine that detects transient performance issues, identifies cluster outliers, pinpoints metric anomalies, and predicts capacity constraints.
● Elastic Monitoring, which enables customers to monitor dynamic and ephemeral resources (such as those that scale automatically) without manually updating alerting policies and dashboards.
● AWS Insights, which correlates AWS events, code deploys, and incidents, identifying performance optimization opportunities.
Hundreds of innovative companies, including Smugmug, 99designs, Vocalocity, Extreme Reach, 8k Miles, and Chopra Center, have standardized on Stackdriver for system and infrastructure monitoring.
Stackdriver Demo VideoAdded: 8/2/13
|Launch Date||September 18, 2013|
Stackdriver Intelligent Monitoring is a SaaS solution that provides visibility into the performance and availability of cloud infrastructure, systems, and applications.
Customers sign up and deploy Stackdriver in two minutes via www.stackdriver.com. They are presented with intuitive monitoring dashboards that reflect their application topology and include key performance metrics for all of their cloud systems and services. For more detailed system metrics and visibility into application components (Nginx, MongoDB, Apache, PostgreSQL, etc.), customers deploy a system agent. Customers can also easily instrument their code to integrate business or “custom” metrics to Stackdriver.
Stackdriver includes several unique features that are particularly important for customers that are running large, distributed systems, including: • Support for monitoring dynamic clusters - Defining and automatically applying cluster-level policies as new nodes are added. • Anomaly detection - Statistically identifying when resources exhibit abnormal behavior. • Cluster outlier detection – Statistically identifying nodes within a cluster that are exhibiting behavior that is inconsistent with other members of the cluster. • Change detection and correlation – Identifying changes in the configuration of the environment and making it easy to correlate those changes to issues.