27 Beste Tools Zur Überwachung Von Cloud-Infrastrukturen 2026

For businesses managing complex cloud infrastructure, Site24x7 offers a monitoring solution that includes synthetic transaction testing to help track service availability and performance. It serves IT teams and organizations that need clear visibility into their cloud environments, helping address issues such as performance slowdowns, resource use, and incident response. With coverage across major cloud platforms and a range of monitoring features, Site24x7 helps teams maintain stable operations and consistent user experience.

Why I Picked Site24x7

I picked Site24x7 for its synthetic transaction tests, which help monitor service availability by simulating user and system workflows. The platform also supports major cloud environments and includes application performance monitoring to track application behavior and identify issues. Its automation features assist with incident handling, helping teams respond faster and manage resources more effectively.

Site24x7 Key Features

In addition to synthetic transaction tests, Site24x7 offers:

• Real User Monitoring (RUM): This feature provides insights into the actual user experience by tracking and analyzing user interactions with your applications.
• Log Management: With this feature, you can aggregate and analyze logs from various sources to gain a comprehensive view of your system's health.
• Network Monitoring: It provides visibility into network performance, helping you troubleshoot connectivity issues and optimize your network infrastructure.

Site24x7 Integrations

Integrations include Slack, ServiceNow, Moogsoft, Jira, PagerDuty, Freshservice, Microsoft Teams, Amazon EventBridge, Zapier, and ManageEngine Analytics Plus.

ManageEngine Applications Manager is a robust tool providing end-to-end performance monitoring for a broad spectrum of applications, databases, servers, and systems. It is particularly adept at providing insights into application performance, which makes it an optimal solution for application performance monitoring.

Why I Picked ManageEngine Applications Manager:

In selecting ManageEngine Applications Manager for this list, I took into account its comprehensive ability to monitor and manage applications across a variety of environments. It differentiates itself by providing detailed insights about application performance, aiding in rapid problem detection and resolution.

Accordingly, I deemed it the "best for application performance monitoring" due to its superior capabilities in this specific area.

Standout Features and Integrations:

Some of the standout features of ManageEngine Applications Manager include its application discovery capability, deep-dive component monitoring, and smart automation. These features allow for robust monitoring and automated problem resolution, ensuring application performance remains optimal.

As for integrations, ManageEngine Applications Manager can integrate with various applications, servers, and databases, such as Oracle, MySQL, Microsoft SQL Server, SAP, and many more.

Dynatrace is a software intelligence platform that provides application performance management (APM), artificial intelligence for operations (AIOps), digital experience management (DEM), and cloud infrastructure monitoring. The tool's AI-assisted capabilities offer accurate and real-time insights, making it particularly well-suited for AI-assisted monitoring.

Why I Picked Dynatrace:

In compiling this list, I was drawn to Dynatrace's strong artificial intelligence components. This tool differentiates itself by providing robust, AI-powered operational insights. Its ability to continuously monitor and analyze performance data across all layers and technologies of an application makes it the best for AI-assisted monitoring.

Standout Features and Integrations:

Dynatrace's most significant feature is Davis, its AI assistant, which automatically identifies and provides solutions for potential issues in real time. Its automatic and dynamic baselining feature also stands out, enabling the tool to understand normal behavior patterns and quickly spot anomalies.

For integrations, Dynatrace works with a wide range of technologies, including AWS, Azure, Google Cloud, Oracle, and more. It also has API integration capabilities, allowing users to extend their monitoring and analytics beyond the tool.

LogicMonitor is a SaaS-based, automated IT performance monitoring platform that provides comprehensive visibility into complex IT infrastructure. Given its capacity to handle both on-premises and cloud environments, it stands as a top choice for monitoring hybrid IT infrastructures.

Why I Picked LogicMonitor:

When selecting a tool that excels in monitoring hybrid IT infrastructure, LogicMonitor was my pick. Its versatility in supporting a wide range of infrastructures, including cloud, on-premises, and hybrid systems, sets it apart. I determined LogicMonitor as the best for hybrid IT infrastructure monitoring due to its automated device discovery feature and ability to handle diverse systems.

Standout Features and Integrations:

LogicMonitor's automated device discovery feature is quite remarkable as it simplifies the process of adding new devices to the system. It also offers customizable dashboards, providing users with the flexibility to monitor their infrastructure based on their unique needs.

In terms of integrations, LogicMonitor supports various cloud platforms like AWS, Google Cloud, and Azure. Additionally, it integrates with key business tools such as ServiceNow, Slack, and Jira, aiding in streamlined operations.

New Relic is a cloud-based software analytics platform that offers real-time data insights to help businesses gauge the performance of their software applications. With its in-depth health metrics, it is particularly adept at providing detailed insights into the health and efficiency of these systems.

Why I Picked New Relic:

New Relic stood out to me due to its powerful analytics capabilities, and thus, I selected it for this list. Its capacity to provide granular, real-time health metrics sets it apart from other tools. I believe New Relic is the best for detailed health metrics given its comprehensive data analytics and visualization capabilities, which offer deeper insights into application performance.

Standout Features and Integrations:

One of New Relic's standout features is its application performance monitoring (APM) capabilities, which provide comprehensive insights into the health of your applications. Additionally, it features real user monitoring, which provides data on how users interact with your applications.

New Relic integrates seamlessly with a variety of platforms such as AWS, Azure, Google Cloud Platform, and Kubernetes. These integrations help provide a more holistic view of your infrastructure and applications.

Datadog is a monitoring service that provides full-stack observability across an organization's entire technology stack, from servers and databases to applications. It aligns perfectly with businesses seeking comprehensive visibility into their technology stack, thereby justifying its position as "Best for full-stack observability".

Why I Picked Datadog:

I chose Datadog because it offers an all-in-one approach to monitoring and observability. This tool is unique because it not only monitors systems but also allows for comprehensive troubleshooting, providing insights into servers, databases, and applications.

For this reason, I judged Datadog as "Best for..." full-stack observability, as it provides a holistic view of an organization's IT infrastructure.

Standout Features and Integrations:

Datadog's standout features include real-time monitoring, anomaly, and outlier detection, and full API availability. Furthermore, it provides visualizations to analyze and explore data interactively. Critical integrations include cloud services like AWS, GCP, and Azure, along with many other technologies such as Docker, Elasticsearch, and more, making it even more efficient for businesses running a diverse technology stack.

IBM Cloud Monitoring is a monitoring service that provides real-time insights into your application and infrastructure performance hosted on the IBM cloud. This tool is specifically designed to work seamlessly with the IBM cloud environment, making it the best choice for those invested in this ecosystem.

Why I Picked IBM Cloud Monitoring:

Choosing IBM Cloud Monitoring for the list was a straightforward decision considering its superior integration and native compatibility with the IBM cloud environment. It stands out due to its seamless interoperability with the IBM cloud's various services.

I judged it as the "best for IBM cloud environment" because of its capacity to deliver detailed metrics, dashboards, and alerts specifically for the IBM cloud.

Standout Features and Integrations:

IBM Cloud Monitoring's detailed metrics provide a wealth of data about your infrastructure's performance. Its ability to provide real-time monitoring data and facilitate rapid anomaly detection is noteworthy.

In terms of integrations, it seamlessly integrates with various IBM cloud services, including IBM Cloud Databases, IBM Kubernetes Service, and IBM Cloud Functions, to name a few.

HashiCorp offers a suite of open-source tools to empower businesses to define, provision, and manage data center infrastructures using a declarative code approach. It's best suited for organizations wanting to adopt the Infrastructure as Code (IaC) methodology to improve efficiency and maintain consistency in infrastructure management.

Why I Picked HashiCorp:

HashiCorp made it to my selection due to its robust IaC capabilities, making it quite distinct in the infrastructure management landscape. This IaC approach fosters efficiency, repeatability, and safety in infrastructure provisioning and management.

For these reasons, I believe HashiCorp is "Best for" organizations keen on utilizing the IaC approach.

Standout Features and Integrations:

HashiCorp's tools like Terraform, Vault, and Consul provide a wide range of features that cater to infrastructure provisioning, security, and service networking. Terraform's feature of infrastructure codification makes it highly valuable for deploying and managing any scale of infrastructure.

Significant integrations include those with AWS, GCP, and Azure, effectively extending its IaC capabilities across multiple cloud environments.

Zabbix Cloud Monitoring is a robust tool that offers real-time tracking of servers, virtual machines, and cloud services. Known for its open-source nature, it stands out as the best for organizations looking for customization and cost-effectiveness.

Why I Picked Zabbix Cloud Monitoring:

I chose Zabbix because of its open-source nature that offers customization possibilities and its comprehensive monitoring scope that includes servers, VMs, and cloud services. It stands out with its flexible nature, allowing you to modify it according to specific needs.

Hence, it wins the tag of being "Best for" open-source cloud monitoring, serving those who value flexibility and a hands-on approach.

Standout Features and Integrations:

Zabbix excels in network discovery, offering automated discovery of network devices and configurations. It provides rich data visualization tools that help you understand monitoring statistics at a glance. As an open-source tool, Zabbix integrates with a broad range of other systems, including MySQL, PostgreSQL, and IBM DB2.

Splunk Infrastructure Monitoring is a tool that offers real-time observability and analytics for cloud infrastructure and microservices. As a platform known for speed and efficiency, it's the go-to choice for businesses requiring instant insights into their cloud performance.

Why I Picked Splunk Infrastructure Monitoring:

I selected Splunk Infrastructure Monitoring due to its strong capabilities in providing real-time insights, making it a standout in the observability landscape.

It's the richness of these analytics that led me to believe it is the "Best for" real-time observability, especially beneficial for businesses demanding immediate knowledge of their cloud operations.

Standout Features and Integrations:

Splunk Infrastructure Monitoring has a real-time streaming architecture that allows it to deliver immediate insights. It also includes features like instant dynamic baselining and anomaly detection, enabling proactive problem detection.

Key integrations include those with AWS, Google Cloud, and Azure, which allows it to monitor multi-cloud environments seamlessly.