Google Cloud's Operations Suite and AWS Auto Scaling compete in cloud management and scaling. Google Cloud's Operations Suite is favored for support and pricing, while AWS Auto Scaling stands out in feature richness and overall value.
Features: Google Cloud's Operations Suite is praised for logging, monitoring, and alerting capabilities. AWS Auto Scaling offers dynamic scaling, integration with other AWS services, and high flexibility.
Room for Improvement: Google Cloud's Operations Suite could benefit from enhanced automation and easier integration with non-Google services. AWS Auto Scaling needs better cost management tools, more intuitive configuration settings, and simplified scaling processes.
Ease of Deployment and Customer Service: Google Cloud's Operations Suite offers a straightforward deployment process and comprehensive customer support. AWS Auto Scaling requires in-depth technical knowledge, and its customer service is helpful but sometimes less accessible.
Pricing and ROI: Google Cloud's Operations Suite is generally cost-efficient with good ROI due to its pricing model and value-added features. AWS Auto Scaling is considered costly but promises substantial ROI for larger, dynamic workloads due to its extensive capabilities and scalability offerings.
| Product | Market Share (%) |
|---|---|
| AWS Auto Scaling | 0.3% |
| Google Cloud's operations suite (formerly Stackdriver) | 1.0% |
| Other | 98.7% |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 2 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 8 |
AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.
Real-time log management and analysis
Cloud Logging is a fully managed service that performs at scale and can ingest application and platform log data, as well as custom log data from GKE environments, VMs, and other services inside and outside of Google Cloud. Get advanced performance, troubleshooting, security, and business insights with Log Analytics, integrating the power of BigQuery into Cloud Logging.
Built-in metrics observability at scale
Cloud Monitoring provides visibility into the performance, uptime, and overall health of cloud-powered applications. Collect metrics, events, and metadata from Google Cloud services, hosted uptime probes, application instrumentation, and a variety of common application components. Visualize this data on charts and dashboards and create alerts so you are notified when metrics are outside of expected ranges.
Stand-alone managed service for running and scaling Prometheus
Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring solution, built on top of the same globally scalable data store as Cloud Monitoring. Keep your existing visualization, analysis, and alerting services, as this data can be queried with PromQL or Cloud Monitoring.
Monitor and improve your application's performance
Application Performance Management (APM) combines the monitoring and troubleshooting capabilities of Cloud Logging and Cloud Monitoring with Cloud Trace and Cloud Profiler to help you reduce latency and cost so you can run more efficient applications.
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