7 Best Cloud Monitoring Tools For Perfect Cloud Management

Cloud computing is taking giant strides to change the way how IT infrastructure is managed. As more and more companies realize the immense potential of cloud systems to deliver flexible and on-demand scalability to use the resources, we are seeing an increased transition from legacy IT structure to cloud.

But even your cloud system needs constant vigil to measure its performance and health. You need to have tools to accurately monitor various parameters and detect any issues in real-time to avoid process disruption.

This is where cloud monitoring tools come in. They help you keep an eye on the critical performance indicators of your cloud environment, health, CPU utilization, network connectivity, and catch issues to ensure the smooth functioning of your applications and processes.

In this blog, we will discuss 7 of the best available Cloud monitoring tools in the market so you can choose the one that suits your requirements.

1.) Sematext Cloud Monitoring Solution

Sematext offers both cloud and on-premises monitoring solutions for your cloud. It’s flexible to use and covers a number of services such as server monitoring, log tracking, health tracking, synthetic monitoring -to monitor the availability of your APIs and website, and network connectivity management.

Moreover, the single screen dashboard view feature makes data visualization and real-time analysis easier for the IT admin.

With Sematext you can monitor containers, memory, disk usage, system health, and load in real-time. You can easily filter the data using tags, hosts, disks, network interfaces, and more.

It allows real-time log monitoring and analysis from the dashboard and also helps to store the user logs from servers, applications, databases, containers, systems, etc. to any desired central location.

You can run queries and save alerts. Then use the query filters to analyze the log data to search and fix the detected issues in time using operators.

Additionally, it uses Elasticsearch and InfluxDB APIs to allow integration of number of tools such as Logstash, Filebeat, Fluentd, etc.

Sematext is an all-in-one solution for your cloud management to monitor, analyze, and fix issues so you can ensure optimal performance of your systems and processes.

2.) Netdata.cloud

Netdata.cloud is an open-source tool that collects real-time data to provide you with insights in the form of detailed composite charts. The monitoring tool offers a number of data collection points to provide detailed information about your system’s health and performance. 

It can help you to study Per Core CPU usage, interrupts, Disk I/O, total Memory, and Kernel usage. You can monitor Network bandwidth, packets, errors, etc, and processes. It also offers Apache and Nginx Status monitoring. It incorporates hardware sensors for temperature, voltage, fans, power, humidity, etc.

The data collected can be stored locally for analysis. It also facilitates the export of metrics to other time-series databases like Graphite, Prometheus, InfluxDB, TimescaleDB, and more.

With advanced alerts options, you can configure alarm templates, and role-based notifications to quickly detect and fix bugs.

The system comes with hundreds of predefined metric charts and alerts, which makes it relatively easier to install, configure, and use to help your IT professionals in making informed decisions.

3.) Dynatrace

Dynatrace is a SaaS-based monitoring solution for your cloud infrastructure which provides both full-stack monitoring and infrastructure monitoring at reasonable prices.

The dashboard provides you observability on all cloud tiers and network metrics. The AI-driven Monitoring tool allows you to map and monitor your applications and their dependencies, containers, microservices, end-user points, infrastructure, and much more in real-time using Davis(AI).

It also automatically detects the dependencies between your websites, applications, services, processes, hosts, networks, and infrastructure to present them in visualized map infographics. So you can now get useful insights into your application topology.

Dynatrace’s self-learning AI automatically detects the performance anomalies by configuring the normal performance of your system. It helps you monitor the CPU health, response time, usage, and other metrics in real-time and pinpoint any issues using root cause analysis.

4.) Datadog

Datadog is a web-based cloud monitoring solution that offers infrastructure and application performance monitoring tools. You can monitor and analyze your databases, on-premise servers and containers, logs, infrastructure metrics, and applications from one place.

One of the key features are impressive drag and drop dashboards that can be created and customized as per the requirements. You can set custom metrics and create a dashboard to get a detailed peek into your infrastructures; both on-premise and cloud.

Use the automated tagging and advanced filter to sort and study the logs, metrics, and traces efficiently. It also allows you to set alerts to auto-detect anomalies and fluctuations over time in the process flow. The results can be read directly from the dashboard charts.

You can also use various integrations such as Slack, Jira, and Pagerduty to communicate issues and performance metrics with other teams.

5.) AppDynamics

Owned by Cisco, Appdynamics is one of the most popular and among the best cloud monitoring tools available out there. Presented as both; software as a service and an on-premise model it facilitates end-user monitoring, provides application health stats, real-time transaction monitoring, application management, Deep Code-Level diagnostics, and much more.

It shows you the connections between various system components and elements, business transactions, etc. These reports can be then studied in real-time to provide improved visibility into the system.

Appdynamics also features the operational Dashboards to present the data from various systems on a single screen. Thus, improving the capability of the admin. So you can visualize your cloud application performance in real-time and see how the various components and infrastructure resources are performing down to the code-level.

Another great feature is machine Learning supported anomaly detection and root cause analysis which helps you to identify issues in real-time.

Appdynamics supports a number of platforms like AWS Monitoring, AWS Lambda Monitoring, Microsoft Azure, SAP, and S/4 HANA and Kubernetes.

6.) SolarWinds

Solarwinds competes with its contemporaries to provide Full-Stack Cloud Performance Monitoring solutions. It is available as an affordable Saas solution. It enables application and infrastructure monitoring, website and user log monitoring, and network performance and connectivity management for your business.

Moreover, it also provides continuous observability from a high-level view down to the specific host and container using AppOptics Infrastructure, so you can study the infrastructure metrics in real-time.

Solarwinds also features Integrated Dashboards, alerts configuration, and anomaly detection. You can identify bottlenecks in various systems and resolve them quickly. If you are managing a website, monitor the website performance, end-user interactions, and transactions to render an improved end-user experience.

7.) Amazon CloudWatch

Amazon Cloudwatch is the application and infrastructure monitoring tool for Amazon AWS. It is available as a free and paid service.

Amazon Cloudwatch provides observability into your applications, infrastructure, containers, network data, synthetics, CPU, memory, disk, and logs for Amazon EC2, S3, AWS Lambda, Amazon ECS, Kiessis, etc. It features real-time performance updates in the form of metrics, logs, and events. You can also use your custom metrics to gather the desired information.

Cloudwatch also provides a detailed visual Dashboard so you can monitor and analyze the data as a function of time from a single screen. It helps to detect any fluctuations from the normal performance of your processes, containers, CPU, memory, network, log pattern of a specific metric, etc.

You can also monitor .NET and SQL Server applications, to check the performance of your database, web (IIS) and application servers, Operating systems, load balancers, queues, etc.

With a high-resolution alarms configuration, you can set alerts against a standard metric, statistic, or action. Then, you can get real-time notifications about any issues and take immediate actions.

Amazon Cloudwatch surely is one of the best cloud monitoring tools available in the market.

Conclusion

The choice of selecting the cloud monitoring tool comes down to a number of factors. These include your scope, scalability, type of solution you’re looking for, pricing, and complexity of deployment and usage. An optimal cloud monitoring solution is the one that handles your requirements in real-time, gives complete observability in your systems, and alerts you about the issues. So they can be fixed before it adversely affects your operations.

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