Amazon CloudWatch Reviews

We use it to monitor our servers, to check the memory of our servers, and to determine whether the CPU is overhead or not.

We also use the alerting system to inform us when something goes wrong.

I have found the memory metrics and the CPU metrics valuable.

Amazon CloudWatch has a user-friendly interface.

I would like to monitor inbound and outbound transfer. I would also like to control the traffic for load balancing.

It would be good to see the transfer inbound per EP or per load balancing. This is a useful metric to have another review of your solution. It can also provide information on from where the clients enter and how they consume our data and solution.

I've been using Amazon CloudWatch for the past four years.

It is a stable solution.

It's scalable.

The initial setup is straightforward.

Take the time to learn the solution in-depth because Amazon CloudWatch has a lot of features. That way, you will be able to know how to use all of the features.

On a scale from one to ten, I would rate this solution at eight.

In Amazon CloudWatch, I found their data analytics services most valuable. They are what we are looking for. We are utilizing Kinesis Data Firehose, Logstash Elastic, and CloudWatch Logs. There are many services that we are using, and in our case, we are using three.

An area for improvement that we want to see in Amazon CloudWatch is a more realistic monitoring. It's real-time data stream monitoring we are looking for. Our application is a huge application that will run on AWS. It has a lot of services that are running, so we want to monitor those services, e.g. message review and frontend application in ELB (Elastic Load Balancing).

It's not only monitoring that we want to do. We also want to visualize that monitoring data through dashboards. This is the main reason we plan to try Datadog because in Datadog, we can create a dashboard and we can visualize the log data through the dashboard.

We are not happy about the dashboards. In Amazon CloudWatch, they can fetch all the logs, but the service is not good at delivering the data into the dashboard, plus there's the lack of real data, e.g. in application performance monitoring. We find this product lacking and this is why we want to look for a new service that can cover our needs.

Additional features we would like to see in the future on this product include more API performance features, e.g. application performance monitoring. We also want live dashboards and well-designed workflows.

We also want integrative services, e.g. custom logs we can check, as we are not satisfied with what Amazon CloudWatch currently has. We are looking for more competency on these services: dashboards, real-time monitoring, real user monitoring, and application performance monitoring. We also have more and more mobile apps, so mobile app monitoring is also important.

These are the key areas that people are looking for, and what we'd like to see on this product in the future.

I've been using Amazon CloudWatch for over six years.

Amazon CloudWatch is scalable to some extent.

Technical support for this product is okay. They have a different support standard which they are maintaining. When you pay for premium support, you'll get your issue resolved within two hours. If it is standard support, it takes one to two days. The support you get depends on the type of support you paid for.

This solution is easy to set up. It's not complex. You just need to run the Amazon CloudWatch agent in all the services. Once we install the agent into our services, we'll be able to fetch the log regularly.

I evaluated Nagios.

We're using Amazon CloudWatch. Our clients are using different monitoring services. Some are using Prometheus, while some are using Nagios, but in our platform overall, all the services are located in AWS only.

I have no advice for people looking into using Amazon CloudWatch, but in our case, all our services are running on the AWS platform, so initially we thought of using all their cloud-based native services to save on admin and infrastructure costs, including other connectivities. That was our plan initially, but now client requirements have been more demanding.

The client wants a real-time monitoring solution which is something we are unable to get from the product, so we are looking for a new solution like Datadog, or New Relic, or Prometheus.

My rating for Amazon CloudWatch is a seven out of ten.

I'm a consumer and I'm working in a company like Accenture. It's a service-based organization. It's a MNC (multinational corporation), so it's global and we have multiple clients. These multiple clients have different strategies and they want their applications to be set up in the Cloud. I'm the AWS architect, so I do the solutions and provide solutions for them, e.g. cost optimization, infrastructure optimization, etc.

What clients find most challenging thing in the Cloud is monitoring, so we are looking for a centralized monitoring solution where we can get everything in a single window, but we want a service that's similar to Amazon CloudWatch. We collect data and we need to analyze that log and analyze the metrics, so we create a refined monitoring data, then we publish it by using the Amazon QuickSight dashboard. There are three different services we have to use, so instead of using all these different services, we want to use only one service: a centralized monitoring service to meet all our needs. This is what we are looking to have in the future.

We are kind of consultants. We maintain our customers' environment on AWS. 

CloudWatch is good to use for infrastructure monitoring and workload monitoring on AWS. It is good for monitoring AWS infrastructure and services.

You can enable alarms and metrics, and it has robust integration with AWS services. You can also trigger events. For example, if the CPU utilization is above 80%, it can launch a new instance for you.

For monitoring applications or for APM, CloudWatch has some limitations. You cannot monitor application performance from CloudWatch, and you have to go for a third-party tool.

A major drawback of CloudWatch is that you cannot create reports. They should add the functionality for creating some reports so that the users can download those reports. Currently, you can see the old data, but you cannot generate reports. So, if some of our customers ask us for monthly or weekly reports, there is a limitation, and we have to go for a third-party tool to generate reports.

I have been working with Amazon CloudWatch for two years. 

It is stable.

It is scalable. You can do alarms, and you can send logs. 

We have many customers. We have enterprise customers, and we also have medium-sized customers.

Their technical support is good. If you have AWS business support, AWS technical guys can support you a lot.

We have worked with Datadog and New Relic. New Relic is pretty good in application performance. It gives you a lot of insights. Two of our customers use it.

Its setup is easy. AWS documentation is there, and you can find a lot of guidance on it. You can configure it easily.

Its pricing is reasonable. It is sometimes tricky, but it is reasonable as compared to others.

I would recommend it depending on what a customer wants to achieve or what is the requirement for monitoring. 

I would rate Amazon CloudWatch a six out of 10.

We use the product to monitor resources for reporting purposes. It alerts us when we are required to scale up resources.

The product helps us collect and store various metrics to set test alarms. The metrics allow us to apply the configuration changes in our environment.

Amazon CloudWatch's pricing needs improvement.

We have been using Amazon CloudWatch for three years.

The product is very stable.

The initial setup process is easy.

The product generates a return on investment.

The product's cost is relatively inexpensive.

I rate Amazon CloudWatch an eight out of ten. I recommend the product if you want a system to monitor the resources. It provides proper metrics and manages workload efficiently. It offers features for real-time cloud monitoring. You can view the activities on the network set for a specific timeline.

We use it for testing environments.

There is room for improvement in terms of stability. 

I have been using this solution for two years. 

I would rate the stability an eight out of ten. 

I would rate the scalability a ten out of ten.

The initial setup is easy. 

I deployed the solution myself. We need cloud architects and engineers for the deployment and maintenance of the solution.

Overall, I would rate the solution a ten out of ten. I would definitely recommend using the solution.

We use the solution for monitoring the traffic. We analyze any suspicious traffic detected by AWS.

The monitoring feature is valuable. AWS provides a detailed document of how CloudWatch works and how we can integrate and utilize it. We get a summary of all the logs explained in the documentation.

The product should provide more features.

I have been using the solution for one and a half years.

I rate the tool’s stability a nine out of ten.

I rate the tool’s scalability a nine out of ten. Almost 100 people from three to four teams use the solution in our organization.

We have reached out to the support team a few times. The technical support is very good. Sometimes, we don’t even have to reach out to the team. If they detect any issue, they email us about it.

Positive

The initial setup was quite easy.

I have seen an ROI on the solution.

People who want to use the solution can follow the AWS documentation for configuring the product. Overall, I rate the solution a nine out of ten.

We use the solution for monitoring purposes. We also use it for events and alerts. 

We can create events and alerts. We use the information to dive down into the infrastructure performance.

The product's configuration has some challenges. The solution needs to be more user-friendly. 

I have been working with the product for five years. 

The tool's stability good. 

I would rate the solution's scalability a nine out of ten. My company has 10-15 users for the product. 

The product's setup is easy. The tool's deployment depends on scenarios like the metrics, events we create, etc. 

I would rate the solution a nine out of ten. 

We are using Amazon CloudWatch for all of our data monitoring.

The most valuable feature of Amazon CloudWatch is reliability.

When customers want to see the CPU or memory utilization there is a cost. This should be free to see the utilization.

I have been using Amazon CloudWatch for approximately three years.

If the servers are running then the solution is good. It is a separate service on the cloud.

The solution is scalable.

All of our technical staff are using the solution. We have a large organization with many branches.

I rate the scalability of Amazon CloudWatch 

I have not used the support but I have heard from a colleague they are excellent.

We were previously using the AppDynamics machine agent and it saved money by using Amazon CloudWatch.

There is no setup for Amazon CloudWatch. It is on the cloud and all that is required is a migration.

The price of Amazon CloudWatch is reasonable. When the rate of data collection is done the price will increase. The price is less than other solutions.

This is a native Amazon Cloud solution and I would recommend it for monitoring.

I rate Amazon CloudWatch a nine out of ten.