Amazon CloudWatch Reviews

It serves as a diagnostic and profiling tool, particularly useful for dissecting the intricacies of applications, especially in scenarios like Microsoft's best applications. When a user triggers transactions through the GUI, such as purchasing tickets for events like cricket or concerts, the process involves multiple layers—starting from the front-end GUI to the back-end middle tier, microservices, and concluding with database interactions. It allows me to meticulously analyze and monitor these processes by creating and examining various logs. I can delve into the details of each stage, from API calls to network components, and server processing (involving Java Virtual Machine), and even gauge how long specific APIs or queries take to execute. This tool proves invaluable in identifying bottlenecks, such as waiting times or timeouts and understanding the performance of APIs, queries, and even the efficiency of gateways.

When working with AWS services like Lambda functions and AWS Step Functions, it facilitates the creation of insightful dashboards. These dashboards offer a comprehensive view of Lambda function performance, allowing me to gauge capacity utilization and identify areas requiring optimization. In recent experiences, its profiling capabilities have been instrumental in creating detailed dashboards for monitoring.

It is a robust analytical tool and it goes beyond mere functionality and extends into the realm of providing comprehensive insights. It empowers me with analytical skills and capabilities, offering a detailed snapshot of the entire process of requests within an application. Its strength lies in its ability to paint a vivid picture of the application's performance by breaking down the journey of each request, revealing which components are causing delays, and identifying specific pain points.

There is a need for seamless integration with databases, whether they are open-source or proprietary like InfluxDB. Incorporating a straightforward method or a plug-and-play solution for integrating these databases with our systems, facilitating smooth data transfer, and enabling the creation of dashboards for monitoring and analysis would be beneficial.

Over the past six to seven months, I've been actively using it for one of our ongoing projects, but my broader experience extends over two to three years, particularly in migration projects from on-premises to cloud-based solutions.

I find it remarkably stable. Its effectiveness in helping me discern patterns, understand the behavior of components, requests, queries, or even aspects related to application performance is noteworthy.

Approximately forty to fifty individuals within the current organization use it actively.

When issues arise or specific requirements demand assistance, the process of reaching out to support can be somewhat cumbersome. Resolving concerns involve navigating through channels, creating or accessing accounts, and then connecting with support.

While I have some hands-on involvement, the extent of my practical experience has been limited as the detailed implementation is usually managed by specialized teams.

The pricing can be considered reasonable, especially when already operating on a cloud platform. The cost is justifiable given the expertise it offers and its capabilities in addressing challenges associated with cloud environments.

Leveraging CloudWatch is advantageous due to its seamless integration with cloud services, making it a valuable asset for monitoring and gaining insights into the platform's performance. Overall, I would rate it eight out of ten.

My company's clients use Amazon CloudWatch, which offers a very good performance for application performance monitoring, as well as the integrations part.

Amazon CloudWatch's best feature stems from its ability to monitor app performance. People also use Amazon CloudWatch for integration with AWS services.

I think Amazon CloudWatch has built a very good service in terms of integration since it can integrate with Docker, EC2, and Kubernetes, owing to which we don't have any problem with the solution in our company right now as it works fine. Amazon CloudWatch resolved its performance issues quickly as well. I don't think there is anything bad in Amazon CloudWatch.

I don't think I need to comment on any additional features that need to be included in Amazon CloudWatch since they roll out new features as per the roadmap Amazon has planned.

The dashboard of Amazon CloudWatch is not very customizable right now. In the future, I would like the dashboard of Amazon CloudWatch to be made more customizable.

I have been using Amazon CloudWatch for more than three to four years. My company operates as an integrator, consultant, and partner of Amazon.

It is a stable solution.

With Amazon CloudWatch, you don't need to worry about scalability in terms of volume or in terms of horizontal or vertical growth. In general, Amazon CloudWatch is a highly scalable product.

My company's clients who use Amazon CloudWatch and I deal with are mostly small and medium-sized companies.

The solution's technical support is great since I haven't faced any challenges yet. I rate the technical support a nine out of ten.

Positive

The product's installation phase is very easy. In our company, we didn't face any problems with the product's installation part.

With Amazon CloudWatch, the time taken for the installation phase is only related to the configuration part. You just need to do the configuration on the basis of availability, after which you need to make sure that you have a configuration ready, making it a very easy process that doesn't take hours to finish.

Amazon CloudWatch is a really good product compared to its competitors in the market.

With Amazon CloudWatch, my company did not find the need to get involved with the maintenance part as it is a service. It is the cloud service provider who makes sure that the service is available all the time, so you don't have to worry about the maintenance part.

I rate the overall product a nine out of ten.

My company uses the solution to collect logs from other sources, including Amazon Virtual Private Cloud. All the logs are collected from Amazon CloudWatch. From the log groups, my company sends S3 and other third-party applications. My company uses Amazon CloudWatch for monitoring purposes.

Amazon CloudWatch is a tool that already provides my company with external features. I will have to check all the features provided by Amazon CloudWatch. Monitoring is one of the best features of Amazon CloudWatch. Amazon CloudWatch can be considered as a tunnel where you can collect logs.

In my company, we have created a Lambda function to collect logs from CraC. Our company particularly uses Lambda function in Amazon CloudWatch's log groups. From Amazon CloudWatch, in my company, we are not getting proper logs from particular services. When my company faces the aforementioned issues, we have to get involved in the troubleshooting process while also keeping a check on Lambda functions. In my company, we are unable to get proper logs even with Lambda functions, making it one of the areas that needs improvement.

The monitoring part and GUI are areas in Amazon CloudWatch that have shortcomings currently and can be considered for improvements in the future.

I have been using Amazon CloudWatch for two to three years.

It is a stable solution.

In my company, we have around 20 AWS accounts, and on each AWS account, we use Amazon CloudWatch. The major purpose of the solution is to collect logs.

I rate the technical support a ten out of ten.

Positive

The initial setup of Amazon CloudWatch is easy.

The solution is deployed on the cloud.

I consider it as a medium-priced solution. The prices are dependent on the size of the log collection users require for their environments. If users opt for 10 TB, they need to pay a different price, while those who opt for 1 TB and 1 GB pay a different price.

For the audit purposes of your environment or to collect some details through a better procedure, you can consider Amazon CloudWatch. Whether to use Amazon CloudWatch or not depends entirely on your environment.

I rate the overall solution a nine out of ten.

We use Amazon CloudWatch in our company to mainly troubleshoot Lambda functions. Then, we use CloudWatch to set up CloudWatch Alarms.

It maintains all the streams and all the logs in an orderly manner, and it maintains it indefinitely unless otherwise configured with a retention period. CloudWatch Alarms is another useful service. It will send us a notification if our usage exceeds the limit we've set. Also, we have to use CloudWatch Alarms to comply with some security standards. Watching the logs and troubleshooting Lambda is the main use of Amazon CloudWatch for us. The tool's UI is good. One can scroll through the logs very easily.

Amazon CloudWatch needs improvement. The main thing is we have noticed missing logs. Like, we know that the Lambda function was executed because we have been able to see the output in another downstream system, but we do not see the logs of that execution on CloudWatch. Sometimes we face problems like our program didn't produce the correct output, and the customer reports it. However, we don't see any logs when we go to CloudWatch.

CloudWatch can also improve the logs search functionality. Searching with keywords over the log streams can produce very unreliable results.

I have been using Amazon CloudWatch for a year. I am a customer of the solution.

I won't say it is a stable tool since there is the problem of missing logs.

It's a very scalable solution. Maybe at a time, ten people use it in our company.

One doesn't have to do any setup for CloudWatch logs. Only CloudWatch Alarms need setting up. Whenever you create a Lambda function, it automatically logs to CloudWatch.

Actually, we had chosen Amazon Lambda for our serverless programming, and Lambda logs to CloudWatch by default. We can log in to other services, which can be a storage like S3 and all, but it will require more work from us. CloudWatch is the default standard for Lambda logging. Another reason for choosing Amazon CloudWatch is because we use CloudWatch Alarms. If we don't set up CloudWatch Alarms, we will fail certain security compliance standards.

You should be careful about using Amazon CloudWatch if your Lambda is running continuously since that is when you suffer log missing problems. If you are running a Lambda function only intermittently, then it is okay. I would suggest that if you intend it to run your Lambda function continuously, like, every single second, then maybe use another service for logs. It is better to write your own logs to S3 or something.

I rate the overall solution a five out of ten.

Whenever we launch any instances or use any service we receive default metrics from Amazon CloudWatch. It is easy to track what is happening in the services that we are using. Additionally, it provides metrics logs from servers and what is happening from the infrastructure.

The most valuable feature of Amazon CloudWatch is its ease of use and logs. You do not have to go to each separate system to see the logs, such as Syslog and they are located in one dashboard GUI.

If someone changes some configurations in other tools, such as Grafana, someone has to deep dive to see what has happened. These issues do not happen in Amazon CloudWatch because it is easy to use. It is managed by Amazon AWS.

The dashboard and the UI could improve in Amazon CloudWatch. Additionally, they should focus on visibility inside the servers with AI and machine learning integrations. This would allow users who are using the solution to see what is happening within the system better.

I have used Amazon CloudWatch within the last 12 months.

The stability of the solution is good.

I rate the stability of Amazon CloudWatch a ten out of ten.

The scalability of Amazon CloudWatch is good. We do not have to do anything to scale the solution it is done by the vendor.

We have more than 10,000 people using the solution.

I rate the scalability of Amazon CloudWatch a nine out of ten.

I rate the support of Amazon CloudWatch a ten out of ten.

Positive

The initial setup of Amazon CloudWatch is simple. The deployment of the solution only took minutes.

I rate the initial setup of Amazon CloudWatch a nine out of ten.

If someone is utilizing a limited set of services on Amazon AWS and their application is hosted on Docker or Kubernetes products, they may choose to use an alternative monitoring tool instead of relying on Amazon CloudWatch. However, the developers of Amazon CloudWatch are continually improving the tool, and adding features to address any issues that are not currently available on the cloud version will eventually be incorporated into Amazon CloudWatch. If the infrastructure and the software services are relatively simple I would recommend this solution. The Amazon CloudWatch agent can provide additional metrics, but for those seeking a more visually appealing and understandable approach, different tools may be more suitable.

I rate Amazon CloudWatch an eight out of ten.

I rated the solution an eight out of ten because of its user-friendly interface and the presence of a helpful single dashboard. This solution also offers unique tools, like application insights, which rely on artificial intelligence. This means that regardless of the traffic or type of users accessing our server, the insights provided are based on AI technology. The role of application insights is expected to grow significantly in the coming years as the solution continues to incorporate AI into its functionality. For example, it can provide information on how much memory was occupied by your machine at a particular time.

While we have used CloudWatch, we have not used it extensively. We should start monitoring our applications once it starts performing in production. We are not at that stage yet. However, we have implemented it. In the end, we will use it mainly to monitor our applications.

It's a very simple logging system. It's a very simple monitoring system, however, you have other advanced services as well if you choose to go more advanced. This is a simpler product that we can use right away.

The implementation process is very simple.

It's not an advanced way of monitoring.

I haven’t used the solution for that long.

Until now, we haven't seen any stability issues. There are no bugs or glitches. It doesn’t crash or freeze. It is reliable.

I’m not aware of the level of scalability on offer.

Right now, for monitoring, what we do is, we have a login into an SQL server.

It's very easy to implement. It's simple. These are solutions that are very simple to use, and therefore, there isn’t really any complexity involved.

You may not need so much technical knowledge or information to use this product. That said, there are some policies where you would need to know how to write the script. Still, it would be simple for anyone to use quickly.

I'm not aware of the pricing.

Since it is a cloud solution, we are likely on the latest version, although I don’t know the exact version number.

This is a basic version that you can start using right away, and there's nothing too technical to think about or to know. You can implement it right away and then try to scale up or advance on the monitoring.

I would rate the product eight out of ten.

The primary use cases are creating a platform for customer experience and customer engagement. This is more about profiling a customer and it is more about using or basically understanding the customer's needs and wants and profiling the data and showing it to a business analyst.

That is pretty straightforward and it is not really meant for a technical user specifically, even a non-technical person can use it. I can put it in a simple term, its simplicity is always there. And it is also in real-time and it has a log analysis feature wherein you can do some insights into the log that is generated. Yeah, but again, this is not a full-fledged monitoring tool. Just like Dynatrace, it comes with various other things like log security and many other features, but the log analysis for the team.

The most valuable feature is the insights are good.

I think something that can be improved are the alerts and alerting mechanism based on no rejects. We want to have it more flexible and that is one of the key things that is required.

I have been using Amazon CloudWatch for the past four to five years now.

The performance is very good and there are no problems accessing it.

We are already on the cloud platform, and we have never experienced any hurdles in terms of performance or scalability. It is always the same as it was at the beginning and we do not feel many differences as we have been growing because that is something that is already scaling at the back end and I think the team is doing it. We are not aware of how they do it, but as end users, we do not feel such difficulties in accessing it.

There are three packages currently we are opting for package one, which basically means that you can only do offline chats or, we have to send any queries offline. But there are three packages in which we can do real-time calls and chats with them to rectify the issues if there are any. So, I can say that from the support perspective with whatever package that we have taken, they are meeting expectations.

The setup is very straightforward and took less than thirty minutes to install.

All of our implementations took place in-house.

The pricing is based on a storage cost plus there is a minimal cost for the usage, but I am not sure about the actual figures, but it is built upon the usage.

I would recommend they have an understanding of the basics of AWS before you start configuring. I would rate Amazon CloudWatch a nine out of ten.

We're only using it for collecting the logs and forwarding it, and then in some areas, we use it for scheduling stuff and there are some new alerts that come in, and then from there, they had to trigger some Lambdas.

We build the monitoring and everything on top of the Datadog.

I'm a technical manager and they use CloudWatch to forward all the requests to Datadog. I don't know the specific features inside the CloudWatch that they found useful.

Our team finds it overall quite useful.

Everything is based off of CloudWatch. Logs stream through CloudWatch and then everything is piggybacked, the telemetry and everything is coming out of that. 

It's pretty simple to set up.

I haven't heard any complaints about the product.

It would be nice if they could make it in such a way that we wouldn't have to rely on Datadog as much. 

We'd like the interface to be as easy as Datadog.

The department has been using the solution for about two and a half to three years. They've used it for a while and I recently joined the team.

It's stable. The performance is good. It's reliable. There are no bugs or glitches. It doesn't crash or freeze.

We haven't heard so much about any scalability issues. It scales well. It's about the volume and we pump so many logs, particularly in the space of the Datadog, it becomes expensive. We've put restrictions around it based on price and not based on that it can't be done. We just stick to the logs, indexed in size, so people complain that it costs so much. 

When it comes to writing the PI data into the logs, we always ask: should we do it, not do it? It's all to do with your teams. Overall, for us, it has become a widely accepted solution to be used in the public cloud.

We have about five dozen technologists that use the solution currently. We might have between 100 and 500 end-users in different business groups. 

We've used support in the past and they are always available to us when we need them. We haven't had issues getting help. 

We have their solution architects available for us. We can call them anytime and they come in. They're extremely good with us.

Positive

We also use Datadog.

People find the dashboarding of Datadog to be very comfortable and very elegant. That's one of the main things that come out. They take the data from the CloudWatch and they tally with the costing aspect as well, however, mainly, people find it useful on the dashboard. They like the alerts et cetera. The usability and search are great.

The initial setup is pretty straightforward and simple. It's easy. It's not overly complex. 

The usage in both CloudWatch and Datadog is about the volume. People simply have to be mindful of how much they want and how they want to index and manage them. Otherwise, it's pretty straightforward.

I'm not sure what the exact cost is. 

We're an enterprise group. We may have a partnership with Amazon. I'm not sure. 

We mainly use the public cloud. We also have hybrid setups. 

I'd rate the solution an eight out of ten. It does what it does and it does well. However, the UI could always be better.