As we continue to shift towards cloud-based solutions, it becomes increasingly crucial to have a reliable cloud monitoring system in place.
Cloud infrastructure monitoring tools provide IT teams with a holistic view of their cloud infrastructure, including its components, dependencies, and interactions.
This visibility enables IT teams to identify and troubleshoot issues faster and understand the impact of changes on the infrastructure.
Cloud Infrastructure Monitoring platforms are software designed to provide comprehensive visibility and monitoring of various cloud-based services. These services include applications and infrastructure components such as servers, networks, databases, and storage systems. It provides critical insights and monitoring capabilities to help ensure the optimal performance and security of the cloud environment.
Wondering how it can make IT teams' lives easier?
Let’s take an example, as an IT admin, you’re responsible for managing the organization’s cloud infrastructure that hosts a critical application. One day, app users start reporting slow response times and errors, causing disruptions to business operations.
Without a cloud infrastructure monitoring platform, you may have to manually investigate the issue, which could take hours or even days. However, with a monitoring platform in place, you can quickly identify the root cause of the problem, such as high CPU usage or network congestion, through real-time data analysis.
Thus, IT managers can boost the performance of their cloud-based apps and services and swiftly identify and troubleshoot problems. Further, these systems can also help you assure compliance with industry rules and security policies by providing real-time alerts of any potential security threats or violations.
With a comprehensive cloud monitoring tool, you can monitor various aspects of your cloud environment to assess its overall well-being. These include server monitoring, database monitoring, application performance monitoring, website monitoring, virtual network monitoring, and security and compliance monitoring.
Now that we've covered the benefits let's explore the list of cloud monitoring platforms that can assist you in achieving them!
But before discussing that, let's us introduce who we are and what we do.
Zluri provides SaaS and User Lifecycle management platforms that provides IT admins with a centralized dashboard to manage their SaaS infrastructure. It provides a comprehensive inventory of all the SaaS applications an organization uses. This inventory helps IT admins understand their applications, their functionality, and how they are being used.
The platform helps IT admins track the usage of their SaaS applications. This includes metrics such as active users, no. of apps used, number of logins, and feature usage. With this information, IT admins can optimize their SaaS infrastructure, streamline their workflows, and reduce costs.
Moreover, Zluri monitors the performance of SaaS applications and provides IT admin with insights into the usage and performance of these applications. It helps the IT admin identify any issues with the performance of the applications and take corrective action.
Further, Zluri helps IT admins monitor their SaaS applications' security. It provides insights into the security features of each application, such as events related to that app, data shared, compliance and security probes.
Hence, Zluri aids IT admins in managing their SaaS infrastructure efficiently and effectively from a single interface, leading to improved productivity and cost savings.
We've created a list of the best 8 cloud infrastructure monitoring solutions for 2023 to aid you in making an informed choice. These platforms include a variety of functions, including physical and virtual server monitoring, SaaS app monitoring, and automated workload optimization activities.
Datadog is an IT monitoring and analytics tool that tracks performance metrics and monitors cloud services and infrastructure events. With this software, IT admins can monitor various services such as servers, databases, and tools to ensure smooth operations.
Its flexible deployment options and compatibility with multiple operating systems and cloud service providers make it a valuable asset for all-size organizations looking to optimize their cloud monitoring capabilities.
Datadog offers both on-premises deployment and Software as a Service (SaaS) options, and it supports various operating systems such as Windows, Linux, and Mac. The platform is also compatible with several cloud service providers, including AWS, Microsoft Azure, Red Hat OpenShift, and Google Cloud Platform.
To ensure seamless integration, Datadog utilizes a Go-based agent and utilizes Apache Cassandra, PostgreSQL, and Kafka for its backend. It also uses a Rest API to easily integrate various programming languages, services, and tools. Popular integrations include Kubernetes, Chef, Puppet, Ansible, Ubuntu, and Bitbucket.
LogicMonitor is a cloud-based IT infrastructure monitoring platform that comprehensively monitors various aspects of IT infrastructure, including networks, servers, storage, applications, and cloud services. It is designed to provide visibility into complex IT environments and enable IT teams to troubleshoot issues quickly and effectively.
With LogicMonitor, users can monitor various cloud services, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, as well as on-premises infrastructure. The platform provides real-time data and alerts, customizable dashboards, and extensive reporting capabilities. Users can also set up custom thresholds and triggers to proactively detect and respond to issues before they cause downtime.
Pandora FMS is a cloud monitoring platform that provides a comprehensive solution for monitoring and managing cloud-based systems. This platform offers a range of features, including real-time monitoring, event management, and reporting, which allow IT admins to keep track of their cloud infrastructure's performance and quickly identify and resolve any issues that may arise.
Pandora FMS cloud monitoring platform enables you to monitor various aspects of their cloud infrastructure, such as network traffic, server performance, application availability, and database activity, all from a single dashboard. It supports a wide range of cloud platforms, including Amazon Web Services (AWS), Microsoft Azure, Google Cloud, and more.
Sumo Logic is a cloud monitoring platform that can help IT admins optimize their cloud infrastructure's performance and proactively identify and address potential issues before they become critical. Its comprehensive features and scalability make it a valuable tool for IT admins looking to enhance their cloud monitoring capabilities.
The platform offers a range of features, including real-time monitoring, analytics, and event management, that help IT admins keep track of their cloud infrastructure's performance and quickly identify and resolve any issues. One of the key features of Sumo Logic is its ability to ingest data from various sources, including logs, metrics, and traces, providing IT admins with a holistic view of their cloud infrastructure's performance.
The platform's analytics capabilities use machine learning algorithms to identify trends and anomalies, enabling IT admins to address potential issues before they become critical proactively.
SAM (Server & Application Monitor) by SolarWinds is a tool designed to monitor your applications and their infrastructure, whether running on-premises, in the cloud, or in a hybrid environment.
It aims to ensure that slow applications and downtime don't negatively impact your end-users and business services. The tool helps you identify the root cause of any application issues across different layers of the IT stack.
With SAM, you can automatically discover your application's environment and start monitoring it in about an hour without needing professional services or consultation. This tool allows you to monitor your entire on-premises, cloud, or hybrid application environment and infrastructure from one place. It offers over 1,200 monitoring templates for various applications, systems, and infrastructure.
SAM provides comprehensive monitoring for Microsoft applications, systems, hypervisors, IaaS, PaaS, and SaaS products. Additionally, it allows you to visualize and map the dynamic communication-based relationships between applications and servers, which helps you discover network issues that could slow down your applications.
Microsoft System Center is a suite of management tools that includes monitoring capabilities for IT infrastructure and cloud services. System Center Operations Manager (SCOM) is a suite component that monitors on-premises infrastructure, cloud services, and hybrid environments.
With SCOM, users can monitor various IT infrastructure components, such as servers, applications, network devices, and storage. The platform provides real-time data and alerts, customizable dashboards, and reporting capabilities. Users can also set up custom rules and thresholds to proactively detect and respond to issues before they cause downtime.
SCOM integrates with various Microsoft cloud services, such as Microsoft Azure and Microsoft 365, to provide monitoring and management capabilities. The platform can also be extended with management packs, which provide monitoring capabilities for third-party applications and devices.
IBM Turbonomic is a cloud monitoring and management platform designed to optimize the performance and efficiency of IT infrastructure, including cloud environments. It uses artificial intelligence and machine learning to provide real-time monitoring and automated management of cloud resources. This makes it a valuable tool for IT teams looking to optimize the performance and efficiency of their cloud resources.
The platform provides real-time data and alerts, customizable dashboards, and reporting capabilities. Users can also set up policies and automation workflows to optimize the utilization of resources and ensure application performance.
IBM Turbonomic uses a unique control system that automatically analyzes resource usage and application performance to adjust resource allocation based on workload demands. This ensures that applications are always performing optimally while minimizing waste and reducing costs.
Tackle all the problems caused by decentralized, ad hoc SaaS adoption and usage on just one platform.