Find out what your peers are saying about Zabbix, Datadog, Microsoft and others in Cloud Monitoring Software.
Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks.
The return on investment is significant as the solution effectively reduces costs while being worth its expense.
While using their cloud and cloud resources, if you have an issue with CloudWatch, you must pay additional monthly fees to get time from dedicated tech support.
In recent years, due to business expansion, knowledge levels among support engineers seem to vary.
If there is no timely response, getting a resolution is more difficult.
We had contact with SolarWinds regarding the implementation, and they were helpful.
They have good technical support.
Amazon CloudWatch's scalability is managed by AWS.
SolarWinds NPM is scalable and effective in handling large network infrastructures.
I sometimes notice slowness when Amazon CloudWatch agents are installed on machines with less capacity, causing me to use other monitoring tools.
The NPM product is stable, particularly when used for simple network monitoring.
When using third-party dashboards such as Kibana or Grafana and other visualization tools, there should be a way to feed CloudWatch's data and logging capabilities into these visualization tools.
Amazon CloudWatch charges extra for custom metrics, which is a significant disadvantage.
Maybe Amazon Web Services can improve by providing a library for CloudWatch with some useful features.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
There should be a clearer view of the expenses.
Customers have given feedback about the delayed response times from the technical team.
SolarWinds needs to upscale on observability and add full-fledged observability features, including security features.
Features such as taking backup of the devices or configurations of the devices can be included in further versions of SolarWinds NPM.
Overall, the pricing of Amazon CloudWatch is very expensive.
Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline.
The setup cost for Datadog is more than $100.
PRTG's package offers all features in one bundle, which is cost-effective.
The solution is considered expensive.
Being an inbuilt solution from AWS, it saves time on installation, setup, and maintenance.
The best features of Amazon CloudWatch need to improve visibility into the network because when using hundreds of network resources such as transit gateway, VPNs, routers, route tables, and firewalls, it does not give many details in a structured manner.
I like its filtering capability and its ability to give the cyber engine insights.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
The technology itself is generally very useful.
It provides a detailed overview of the network, which is valuable.
SolarWinds NPM has specific modules for monitoring different network capabilities, which provides rich features for carrying out specific tasks.
The most valuable feature for us is the database performance analyzer, which we use a lot.
| Product | Market Share (%) |
|---|---|
| Datadog | 8.5% |
| SolarWinds NPM | 4.4% |
| Amazon CloudWatch | 2.3% |
| Other | 84.8% |
| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 9 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 78 |
| Midsize Enterprise | 42 |
| Large Enterprise | 82 |
| Company Size | Count |
|---|---|
| Small Business | 59 |
| Midsize Enterprise | 33 |
| Large Enterprise | 84 |
Amazon CloudWatch integrates seamlessly with AWS, providing real-time monitoring and alerting features. Its interface supports task automation, enhancing troubleshooting and analytics capabilities, while offering strong security and scalability at a cost-effective rate.
Amazon CloudWatch is an impactful platform for monitoring AWS resources and managing application performance. It simplifies infrastructure performance monitoring by providing comprehensive analytics capabilities, including application insights and event scheduling. Users appreciate CloudWatch for its detailed metrics, dashboards, and support in issuing alerts to detect anomalies. It efficiently tracks performance, optimizes resource utilization, and ensures service availability. CloudWatch is recognized for its robust alerting features and integration with other AWS services, further supporting its resource monitoring capabilities. However, there is room for improvement in dashboard customization, log streaming speed, and integration with non-AWS services. Enhancements in API integration, machine learning features, and support for third-party tools are also desired.
What features does Amazon CloudWatch offer?Industries implementing Amazon CloudWatch often focus on optimizing IT infrastructure. Companies in sectors like finance and e-commerce rely on its monitoring and alerting capabilities to ensure service uptime and performance. The platform's automation and analytics features empower teams to proactively manage performance and detect potential issues promptly.
Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.
Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.
What are Datadog's Key Features?In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.
SolarWinds NPM is a network monitoring solution that enables you to detect, diagnose, and resolve network performance issues and outages quickly and efficiently. The solution is a powerful tool that can help you increase service levels, reduce downtime with multi vendor network monitoring, simplify the management of complex network devices, improve operational efficiency, and much more.
SolarWinds NPM Features
SolarWinds NPM has many valuable key features. Some of the most useful ones include:
SolarWinds NPM Benefits
There are several benefits to implementing SolarWinds NPM. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the SolarWinds NPM solution.
PeerSpot user Andrew N., Senior Network Engineer at Element Critical, says, “The "Performance Analyzer" feature is the solution's most valuable aspect. It's able to do the bounded graphs of all the interface stats, from errors to broadcasts and to current traffic. With a click of a button you're able to, in one interface, look at historical data for those items.” He also adds, “From the troubleshooting point of view, just having that peace of mind is great. And, The solution is extremely stable. We haven't had any issues in that regard. We haven't had issues with bugs, glitches, or crashes."
Daniel S., Systems and Data Warehouse Supervisor at MMSD, mentions, “The alerting and usage tracking is a valuable feature because it alerts us when we're getting near capacity on disk space, network utilization or processor utilization. It helps us manage our capacity and enables us to be proactive.”
A Senior Vice President and CIO at a financial services firm explains, “As we look to add more servers to our virtual environment and to understand the impact, the solution allows us to dig into the historical charts related to capacity planning. It also gives us visibility of spikes and allows us to track down the reasons for their occurrences. So too, it makes room for potential processes that have gotten hung or runaway and to know when it's time to reboot a server or service.”
Dinesh N., Digital Innovation at Bobcat Company, states, “The best part of the solution is the sharing display. It gives a general public ID wherein everyone can link to a public display. That's a good feature.”
Fazal A., Implementation & Support Specialist at 360Factors, comments, “We have configured multiple alerts for our network devices, including routers and switches, so that we are notified if any interface goes down. In the event an interface goes down, we have multiple reports that include availability monitoring, network uptime monitoring, and network downtime monitoring. These reports are on multiple schedules such as the end of the day, end of the last business day of the week, monthly, and quarterly. This gives us the ability to provide reports to our management and let them know the performance of our network.”
