Azure Monitor and Elastic Observability are two prominent tools in the observability market. Elastic Observability seems to have the upper hand due to its powerful features and flexibility.
Features: Azure Monitor users appreciate its straightforward interface, seamless integration with Azure services, and user-friendly experience. Elastic Observability is valued for its advanced analytics, powerful search capabilities, and support for a wide range of data sources.
Room for Improvement: Azure Monitor users suggest enhancements in complex query handling, cost predictability, and user experience related to feature complexity. Elastic Observability users recommend improvements in documentation, user training resources, and easing the learning curve.
Ease of Deployment and Customer Service: Azure Monitor benefits from tight integration with Azure's ecosystem, making deployment smoother for Azure users, while its customer service is generally well-regarded. Elastic Observability supports a more diverse infrastructure, offering flexible deployment options, but users report a steeper learning curve. Elastic's customer service receives positive feedback for responsive support.
Pricing and ROI: Azure Monitor's pricing is seen as predictable and reasonable, especially for existing Azure customers, providing a good ROI. Elastic Observability attracts users with its extensive capabilities, though its pricing can be higher. Users feel that despite the cost, Elastic's comprehensive features justify the investment and offer substantial ROI.
However, the second-line support is good.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
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.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
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 lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
One example is the inability to monitor very old databases with the newest version.
Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal.
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.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
Resource monitoring is essential.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
the most valued feature of Elastic is its log analytics capabilities.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
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.
Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.
Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.
What are Elastic Observability's key features?Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.
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