Splunk Observability Cloud and Google Cloud's operations suite are competitive solutions in the observability and cloud operations space. Splunk Observability Cloud has an edge in flexibility and customization, while Google Cloud's operations suite is preferred for its seamless integration with Google Cloud Platform (GCP) services.
Features: Splunk Observability Cloud excels in log searching capabilities, custom dashboard creation, and handling multi-cloud integrations with real-time monitoring. It offers a comprehensive view of any infrastructure, supporting hybrid deployments. Google Cloud's operations suite stands out with efficient logging, tracing mechanisms, and deep integration with GCP and AWS platforms. Users appreciate its robust capabilities in performance monitoring and visibility into cloud applications.
Room for Improvement: Users of Splunk Observability Cloud express a need for more integrations and improved scalability, alongside better licensing options. The customization of metrics is seen as cumbersome, with a desire for a simpler user interface. For Google Cloud's operations suite, users suggest enhancements in application performance monitoring, cost transparency, and logging analysis, particularly around request-level tracking.
Ease of Deployment and Customer Service: Both solutions support diverse deployment environments including public and private clouds as well as on-premises. Splunk distinguishes itself with extensive deployment flexibility, catering to hybrid environments. Splunk users have experienced mixed feedback on customer service, noting improvements over time. Google Cloud's operations suite generally receives satisfactory support feedback, with adequate documentation and ease of contact, although self-service resources are often relied upon.
Pricing and ROI: Splunk Observability Cloud is viewed as expensive, with high costs associated with its licensing, especially for large data volumes. Despite this, the investment is considered worthwhile due to its comprehensive features. Google Cloud's operations suite offers a cost-effective solution, especially for basic needs, with a flexible usage-based pricing model, although some users find cost estimation a challenge. Both platforms are noted for delivering good ROI, through improved monitoring and operational 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.
Splunk Observability Cloud combines log search, data integration, and dashboards for seamless monitoring, enhancing infrastructure visibility and security. Its cloud integration and scalability support diverse environments, improving operational efficiency.
Splunk Observability Cloud offers comprehensive monitoring tools with user-friendly interfaces, enabling end-to-end infrastructure visibility. Its real-time alerting and predictive capabilities enhance security monitoring, while centralized dashboards provide cross-platform visibility. Users benefit from fast data integration and extensive insights into application performance. Despite its advantages, improvements could be made in integration with other tools, data reliability, scalability, and cost management. Users face challenges in configuration complexity and require better automation and endpoint protection features. Enhancing AI integration, alerts, and adaptation for high-throughput services could further improve usability.
What are the key features of Splunk Observability Cloud?In industries like finance and healthcare, Splunk Observability Cloud is implemented for application performance monitoring and infrastructure metrics. Its ability to track incidents and analyze machine data benefits network infrastructure, while distributed tracing and log analysis aid in tackling security threats. Organizations often integrate it for compliance and auditing purposes, enhancing visibility into network traffic and optimizing performance.
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