Splunk Observability Cloud and AWS Auto Scaling compete in the realm of IT infrastructure monitoring and management solutions. Splunk Observability Cloud holds a slight edge due to its comprehensive log analysis, dashboard creation, and application performance monitoring features, although AWS Auto Scaling's efficient resource management for variable traffic loads remains outstanding.
Features: Splunk Observability Cloud stands out with its comprehensive log analysis, dashboard creation, and application performance monitoring. Its ability to predict, identify, and solve problems in real time and its single interface for monitoring multiple environments enhance its utility. AWS Auto Scaling provides seamless automatic scaling of resources based on real-time demands, step scaling options, and predictive scaling for efficient traffic management.
Room for Improvement: Splunk Observability Cloud users have noted high costs, complexity, and integration challenges with certain tools. There are calls for improved automation in discovering data sources and better documentation. AWS Auto Scaling could improve in pricing flexibility, automation features, and user documentation.
Ease of Deployment and Customer Service: Splunk Observability Cloud offers diverse deployment options, including on-premises, hybrid, and public cloud. Users appreciate the features but face deployment complexity. AWS Auto Scaling offers straightforward deployment due to its cloud nature, with users expressing satisfaction over its responsive support.
Pricing and ROI: Splunk Observability Cloud is seen as expensive, with its pricing model often viewed as a barrier; however, it delivers significant ROI through enhanced visibility and productivity. AWS Auto Scaling is praised for its pay-as-you-go model offering pricing flexibility, although extensive use can increase costs. Both solutions showcase ROI, with AWS Auto Scaling offering better budget predictability.
AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.
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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