OpenText Operations Bridge and Google Cloud's operations suite compete in IT operations management. Based on the analysis, Google Cloud's operations suite has the upper hand due to its simplicity and cost-effectiveness.
Features: OpenText Operations Bridge offers event correlation, a centralized dashboard for integrated data, and task automation. Google Cloud's operations suite provides multi-cloud integration, detailed logging capabilities, and scalability, making it easier to manage diverse cloud environments.
Room for Improvement: OpenText Operations Bridge struggles with complex implementation, outdated technology use, and licensing complexity. Google Cloud's operations suite could improve in application monitoring, cost transparency, and logging analytics.
Ease of Deployment and Customer Service: OpenText Operations Bridge mainly suits on-premise and hybrid clouds, with noted complexity in deployment. Customer service is generally positive but technical support can be confusing. Google Cloud's operations suite is favored for wide cloud deployment options with reliable customer service but may face sporadic technical support issues.
Pricing and ROI: OpenText Operations Bridge is considered expensive with complex licensing, yet provides strong ROI through integration capabilities. Google Cloud's operations suite offers flexible, usage-based pricing, though some need better cost estimation tools. It tends to appeal to those focusing on cost-efficiency.
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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