

Azure Monitor and AWS Auto Scaling compete in cloud management. Azure Monitor seems to have the upper hand in monitoring and analytics, while AWS Auto Scaling excels in scalability and robustness.
Features: Azure Monitor has detailed metrics, log analytics, and application performance monitoring. AWS Auto Scaling integrates seamlessly with AWS services, offers efficient scaling features, and ensures high reliability.
Room for Improvement: Azure Monitor could improve alert configuration, integration with non-Microsoft products, and simplify custom solution setups. AWS Auto Scaling might benefit from enhancing complex scaling policies, better documentation, and more accessible advanced support.
Ease of Deployment and Customer Service: Azure Monitor has a straightforward deployment process, but custom configurations can be complex. Its customer support receives positive feedback. AWS Auto Scaling is easily set up within the AWS environment, though fine-tuning can be challenging. Customer service is responsive but specific issues may require advanced support.
Pricing and ROI: Azure Monitor's pricing is considered fair but can become expensive with extensive use, offering a positive ROI due to its features. AWS Auto Scaling provides cost-effective scaling, aligning costs with resource consumption, resulting in significant ROI through optimized resource utilization.
Azure Monitor helps prevent impacts on their system.
AWS support is very good.
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.
It was not as straightforward as the normal telemetry endpoints, meaning that you had to be on the VPN and do all of that.
Scalability is impressive, as it allowed us to go from 1,000 to 10,000 active users within a week during a traffic spike.
With APM, you can go heavy or you can go light. It just depends on what you want, what your use case is, and how reactive you want to be to system load or resilient to failure.
Azure Monitor is very scalable; there are no issues with scalability for different kinds of businesses.
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.
This complexity led me to migrate to CloudFormation, which simplifies the deployment process.
If you could add more training on how to use it correctly and on the functions that I haven't used before or some people have not really used before, that would help.
It requires a downtime before deploying the Auto Scaling group.
My perspective is more based on an Application Insights agent running on a service or an app service and sending the telemetry via the agent, and also doing the filtering of telemetry at the agent level so you are not having a ton of telemetry.
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.
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.
The pricing of Auto Scaling is medium range, neither high nor low.
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.
During peak traffic times, the Auto Scaling group can be deployed to ensure that the client works well, and the traffic remains average.
The automation aspect where you can automate it to whatever you want is what I value the most about Auto Scaling.
Its automatic scaling capabilities are very useful.
Azure Monitor full stack visibility in managing applications' health helps with APM, infrastructure monitoring, multi-cloud monitoring, security and compliance monitoring, and DevOps and automation monitoring.
I also appreciate the ability to measure feature activity, see what types of devices they are on, follow specific use cases, and measure the amount of traffic going to a particular application.
The ease of access in Azure is significant because it's native to the platform and easy to integrate.
| Product | Mindshare (%) |
|---|---|
| Azure Monitor | 2.9% |
| AWS Auto Scaling | 0.4% |
| Other | 96.7% |


| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 2 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 23 |
| Midsize Enterprise | 7 |
| Large Enterprise | 29 |
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.
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.
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