Splunk Observability Cloud and Apache SkyWalking compete in cloud monitoring and observability. Splunk has the upper hand due to its extensive features and positive user reviews.
Features: Splunk Observability Cloud provides advanced analytics, high data correlation, and scalability ideal for large enterprises. Apache SkyWalking offers application performance management, distributed tracing, and service monitoring, preferred for open-source flexibility.
Ease of Deployment and Customer Service: Splunk Observability Cloud is noted for straightforward deployment, comprehensive support, and documentation. Apache SkyWalking might require more time and skills for effective deployment but benefits from strong community support.
Pricing and ROI: Splunk Observability Cloud incurs higher initial costs, justified by its integrated features and easy integration. Apache SkyWalking presents a lower-cost entry as an open-source option, with potential ROI gains from reduced upfront investment and community-driven scalability.
Apache SkyWalking is a versatile open-source tool used for monitoring and analyzing the performance and behavior of applications in distributed systems. It enables tracking requests, identifying bottlenecks, and troubleshooting issues in real-time, while also monitoring microservices, logs, and server metrics.
With its comprehensive monitoring capabilities, flexible architecture, and powerful visualization tools, Apache SkyWalking provides actionable insights and enhances overall application performance.
Its user-friendly interface and intuitive dashboards make it easy to understand and analyze complex data sets.
Splunk Observability Cloud offers sophisticated log searching, data integration, and customizable dashboards. With rapid deployment and ease of use, this cloud service enhances monitoring capabilities across IT infrastructures for comprehensive end-to-end visibility.
Focused on enhancing performance management and security, Splunk Observability Cloud supports environments through its data visualization and analysis tools. Users appreciate its robust application performance monitoring and troubleshooting insights. However, improvements in integrations, interface customization, scalability, and automation are needed. Users find value in its capabilities for infrastructure and network monitoring, as well as log analytics, albeit cost considerations and better documentation are desired. Enhancements in real-time monitoring and network protection are also noted as areas for development.
What are the key features?In industries, Splunk Observability Cloud is implemented for security management by analyzing logs from detection systems, offering real-time alerts and troubleshooting for cloud-native applications. It is leveraged for machine data analysis, improving infrastructure visibility and supporting network and application performance management efforts.
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