Splunk Observability Cloud and Azure Monitor are prominent tools competing in the observability and monitoring category. Splunk Observability Cloud appears to have an advantage due to its advanced dashboard capabilities and efficient log searching.
Features: Splunk Observability Cloud is known for its ease of data integration, efficient log searching, and customizable dashboards. It provides end-to-end visibility and real-time monitoring, especially beneficial for cloud-native applications and microservices. Azure Monitor integrates well with Azure services and provides unified visibility for logs, metrics, and traces. It offers custom alerting and real-time performance monitoring.
Room for Improvement: Splunk Observability Cloud could enhance integration with third-party tools and refine its user interface for better scalability. Its high cost and complex setup are noted concerns, pointing to a need for easier customization and improved documentation. Azure Monitor would benefit from better visualization features and AI-driven insights. Users wish for more seamless integration with other cloud providers and improvements in automated monitoring and the alerting system.
Ease of Deployment and Customer Service: Splunk Observability Cloud is flexible for deployment across on-premises, cloud, and hybrid environments. It is generally praised for customer service, although some users desire faster response times. Azure Monitor is primarily cloud-based with smooth integration into Azure services. Users report satisfactory support but suggest a need for enhanced guidance for new users.
Pricing and ROI: Splunk Observability Cloud is considered high-cost, but its comprehensive features and ROI justify the expense for many users by reducing downtime and enhancing operational efficiency. Its pricing model is criticized for inflexibility. Azure Monitor is seen as more cost-effective, especially within the Azure ecosystem, with its pay-as-you-go model helping manage smaller workloads, though extensive data logging can increase costs. Both solutions offer significant ROI through productivity gains and reduced operational disruptions.
However, the second-line support is good.
Problem resolution typically takes between two and five days, which isn't very helpful.
They did not have a clear answer.
If any issues arise, we can raise a vendor case, and resolutions are provided in a timely and accurate manner.
We've used the solution across more than 250 people, including engineers.
I would rate its scalability an eight out of ten.
Azure Monitor is working fine, yet I face a costing issue as if there are a lot of logs collected in the workspace or in the center, it becomes very costly.
We rarely have problems accessing the dashboard or the page.
I would rate its stability a nine out of ten.
If Azure Monitor can independently add one gigabyte, two gigabytes, or five gigabytes at least to log storage, I can fix the logs without syncing with Log Analytics Workspace and Sentinel.
It would be beneficial if server details could be retrieved directly in synthetic monitoring.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
When I export logs into the application, workspace, log analytic workspace, and into Sentinel to read reports, I need to add storage, which increases the cost.
It appears to be expensive compared to competitors.
Splunk Observability Cloud is expensive.
Resource monitoring is essential.
It offers unified visibility for logs, metrics, and traces.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
Splunk APM provides a holistic view of the application.
Azure Monitor is a comprehensive monitoring solution offered by Microsoft Azure. It provides a centralized platform for monitoring the performance and health of various Azure resources, applications, and infrastructure.
With Azure Monitor, users can gain insights into the availability, performance, and usage of their applications and infrastructure. The key features of Azure Monitor include metrics, logs, alerts, and dashboards. Metrics allow users to collect and analyze performance data from various Azure resources, such as virtual machines, databases, and storage accounts.
Logs enable users to collect and analyze log data from different sources, including Azure resources, applications, and operating systems. Azure Monitor also provides a robust alerting mechanism that allows users to set up alerts based on specific conditions or thresholds. These alerts can be configured to notify users via email, SMS, or other notification channels. Additionally, Azure Monitor offers customizable dashboards that allow users to visualize and analyze their monitoring data in a personalized and intuitive manner.
Azure Monitor integrates seamlessly with other Azure services, such as Azure Automation and Azure Logic Apps, enabling users to automate actions based on monitoring data. It also supports integration with third-party monitoring tools and services, providing flexibility and extensibility.
Overall, Azure Monitor is a powerful and versatile monitoring solution that helps users gain deep insights into the performance and health of their Azure resources and applications. It offers a wide range of features and integrations, making it a comprehensive solution for monitoring and managing Azure environments.
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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