Google Cloud's operations suite and Elastic Stack compete in cloud monitoring and data analytics. Elastic Stack appears superior in integration and analytics capabilities, while Google Cloud's operations suite is favored for pricing and support.
Features: Google Cloud's operations suite offers seamless integration with Google services, comprehensive monitoring, and ease of use. Elastic Stack provides flexibility, advanced data analytics, and customizable options for diverse needs.
Room for Improvement: Google Cloud's operations suite requires improvements in customization, real-time data handling, and certain flexibility aspects. Elastic Stack faces challenges in scalability, full-stack monitoring complexity, and user-friendliness for setup and operation.
Ease of Deployment and Customer Service: Google Cloud's operations suite benefits from a straightforward deployment process and personalized customer service. Elastic Stack, though more complex in deployment, is supported by extensive documentation and a strong community network, providing broad support.
Pricing and ROI: Google Cloud's operations suite offers lower initial setup costs, making it cost-effective for smaller projects while ensuring competitive ROI through Google integration. Elastic Stack, though requiring higher initial investment, proves beneficial for larger data-driven projects due to its robust features.
Elastic Stack needs more features similar to other SIEM tools such as Sentinel.
The scalability is rated as four out of ten as it lacks auto detect and auto deploy features.
We use Elastic Stack's open source version, so it is free for us.
The stability of the solution is rated as three or four out of ten.
Elastic Stack is a comprehensive tool for log management, observability, indexing, and security, widely adopted for managing logs, alert creation, SIEM, SOC, and threat analysis. It integrates with CloudStrike and Endpoint Security, enhancing search capabilities and Application Performance Monitoring.
Elastic Stack offers powerful solutions for logging, data storage, and visualization with Kibana. It allows MSSPs to efficiently manage security and assists companies with data analysis. It's known for its easy implementation, scalability, real-time monitoring, and extensive integrations. The open-source nature and community support add significant value, making it a popular choice across industries. While highly capable, there is a need for enhancement in dashboard implementation, data integration, and certain advanced features. Licensing, compatibility, and cost-related improvements can further elevate its efficacy.
What are the key features of Elastic Stack?In healthcare, Elastic Stack enhances database search capabilities, aiding in patient record management and data retrieval. Managed Security Service Providers use it for comprehensive security management, integrating it with tools like firewalls and authentication systems. Companies benefit from its application in Application Performance Monitoring and its flexibility in adapting to hybrid environments.
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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