-Andrew Shieh, Director of Operations,
Stackdriver's Rapid Discovery makes setup fast, easy and powerful by identifying all AWS resources, relationships between key app components and functional groups and clusters during a two-minute setup
Trust your monitoring to Stackdriver's Stack Scanner, the intelligent monitoring analytics tool that identifies performance issues, predicts when more capacity is needed and enables root-cause analysis
Stackdriver Elastic Monitoring gives you the full advantage of monitoring-as-a-service with real-time discovery of autoscaling resources, auto-updating groups and dashboards and maintenance-free autoscale-aware alerting
Stackdriver is the only monitoring company that we have seen that is really committed to creating actionable insights out of real time monitoring and metric data.
Stackdriver saves us nearly $15,000 per year in monitoring costs
Stackdriver gives us exactly what we need out of the box; it’s like having another member on my team
Stackdriver definitely speeds up development by identifying issues quickly, which is critical when you’re on a tight deadline. Seeing all our stats at once in real-time is much easier than looking at them one at a time.
I run the Boston AWS User group and regularly call upon Stackdriver to present. One would be hard-pressed to find a team that is as knowledgeable about AWS and distributed systems.
Stackdriver’s API-driven approach works across our distributed environments and will allow us to reduce internal monitoring efforts, saving us time and money.
Stackdriver makes it really easy to monitor distributed systems on AWS. Stackdriver’s analytics tools have identified concerning trends, outliers, and anomalies within our clusters that we may not otherwise have discovered
The instance insights I gained from using Stackdriver while running DevOps for a large SaaS advertising platform were incredible, so when I founded my new consulting firm, AWS for Answers, I recommend Stackdriver’s monitoring service to all of my clients.
Stackdriver’s cloud-native deployment model and analytics-driven approach to monitoring are a perfect fit. Their product allows customers to proactively detect performance issues and avoid application downtime.