Azure Monitor and Prometheus are both leading players in the cloud monitoring solutions category. Azure Monitor holds an edge in seamless integration within Microsoft environments, while Prometheus is favored in Kubernetes and open-source tech landscapes.
Features: Azure Monitor integrates smoothly with Microsoft platforms, supports dynamic alerting, and offers robust security and scalability. It pairs effectively with Power BI for detailed logging. Prometheus stands out with its flexible integration capabilities, supporting open-source community needs and powerful HTTP monitoring and querying.
Room for Improvement: Azure Monitor could enhance hybrid deployment features, improve cloud service integration like AWS, and simplify AI-driven recommendations and pricing models. Prometheus users would benefit from better visualization, user interface enhancements, and more comprehensive documentation.
Ease of Deployment and Customer Service: Azure Monitor is easy to deploy in public and hybrid cloud setups due to its seamless integration with Microsoft services, although customer service could improve. Prometheus is preferred for on-premises deployments with its flexible open-source model but requires better documentation and support services.
Pricing and ROI: Azure Monitor uses a pay-as-you-go model, becoming costly with higher data use, yet it provides good ROI in Microsoft-centric environments. Prometheus, being open-source, is cost-effective, delivering significant savings, particularly in deployments rich in open-source tools and custom server setups.
Using open-source Prometheus saves me money compared to AWS native services.
Users end up getting no resolution from their team because they're outsourced vendors, and they don't have deeper expertise over any of the products they are referring to.
However, the second-line support is good.
Prometheus does not offer traditional technical support.
Prometheus is scalable, with a rating of ten 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.
Deploying it on multiple instances or using Kubernetes for automatic management has enhanced its stability.
The cost skyrockets once you start using it, and there are complaints that the actual cost of the Kubernetes cluster was less than the cost they were incurring for Azure Monitor.
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.
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.
Prometheus is cost-effective for me as it is free.
The ease of access in Azure is significant because it's native to the platform and easy to integrate.
Resource monitoring is essential.
It allows me to save money by avoiding costs associated with AWS native services like CloudWatch or Amazon Prometheus.
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.
Prometheus Group specializes in robust monitoring and observability, offering comprehensive data collection, analysis, and visualization across cloud and on-premise environments. Its integration with tools like Python, Java, and Kubernetes enables users to track metrics efficiently.
Prometheus Group provides an open-source, customizable platform focused on flexibility and reliability. Its integration with Grafana enhances data visualization while supporting complex infrastructures for improved productivity. Users rely on its scalable architecture for effective monitoring and observability, aiding performance analytics and alerting. Despite its strengths, challenges with its query language and interface usability persist, along with a need for simpler setup. Enhancing documentation and reporting capabilities remains essential for broader adoption, especially among less technical users.
What are the standout features of Prometheus Group?Prometheus Group is widely implemented across industries like cloud services and IT infrastructure. Organizations monitor infrastructure, applications, and databases, utilizing its capabilities for system scalability and health checks within Azure and Amazon ecosystems. Its integration with Kubernetes supports performance monitoring and ensures reliable data analytics, fostering comprehensive metric tracking.
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