OpenText Diagnostics and Google Cloud's operations suite (formerly Stackdriver) are both prominent tools in the market. Google Cloud's operations suite seems superior due to its features, making users feel it is worth the price.
What features are offered by OpenText Diagnostics in comparison to Google Cloud's operations suite (formerly Stackdriver)?OpenText Diagnostics is praised for its diagnostic accuracy, detailed reporting, and cost-effectiveness. Google Cloud's operations suite is recognized for its integration capabilities, scalability, and comprehensive solution for larger environments.
What areas of improvement can be found in OpenText Diagnostics in comparison to Google Cloud's operations suite (formerly Stackdriver)?Users of OpenText Diagnostics mention the need for more cloud capabilities, enhanced integrations, and modern features. For Google Cloud's operations suite, users seek a simplified setup process, better real-time monitoring, and process simplicity.
How is the ease of deployment and customer service of OpenText Diagnostics in comparison to Google Cloud's operations suite (formerly Stackdriver)?OpenText Diagnostics users report an efficient deployment process but express concerns about the depth of customer service. Google Cloud's operations suite users note a steeper learning curve during deployment but commend the responsive and helpful customer service.
What setup costs and ROI can be seen with OpenText Diagnostics in comparison to Google Cloud's operations suite (formerly Stackdriver)?OpenText Diagnostics is commended for its cost-effectiveness and satisfactory ROI. Google Cloud's operations suite, while perceived as more expensive, is viewed as delivering better value for money due to advanced features and strong performance.
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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