Cloud Monitoring

by Soundarya Jayaraman
Cloud monitoring monitors, tracks, analyzes, and manages enterprise cloud environment. Learn about it's importance, types, benefits, and best practices.
Soundarya Jayaraman
SJ

Soundarya Jayaraman

Soundarya Jayaraman is a Senior SEO Content Specialist at G2, bringing 4 years of B2B SaaS expertise to help buyers make informed software decisions. Specializing in AI technologies and enterprise software solutions, her work includes hands-on testing of tools, comprehensive product reviews, competitive analyses, and industry trends that empower buyers to choose solutions with confidence. Outside of work, you'll find her painting or reading.

What is cloud monitoring? 

Cloud monitoring
is the process of analyzing, tracking, and managing cloud-based infrastructure and applications to ensure optimal performance, availability, and security. It helps businesses fix problems in the cloud environment before they affect the end-user experience.

Cloud monitoring is part of cloud management and security processes. It includes manual or automated techniques and tools to track and analyze application performance, network availability, resource allocation and utilization, and security events. This continuous evaluation helps prevent potential problems like downtime, data loss, and compliance issues.

Cloud monitoring has become a priority for IT and DevOps teams as businesses increasingly adopt multiple cloud services. It provides them with much-needed insight into the cloud environment. 

Tools like cloud infrastructure monitoring software and cloud security monitoring software assist with automated cloud monitoring. 

Types of cloud monitoring

Businesses use different types of cloud computing services like software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). They also employ public, private, hybrid, or multi-cloud architectures.

As a result, it becomes crucial to stay on top of different parts of the cloud and ensure everything works together seamlessly. For this purpose, there are different types of cloud monitoring techniques.

  • Database monitoring actively monitors database resources that cloud applications rely on. It tracks the availability of services, query response times, and number of transactions per second, monitors database health, and ensures data integrity.
  • Website monitoring involves monitoring the availability, performance, and user experience of cloud-hosted websites. Website monitoring tools track website uptime, page load times, rate of network requests, and server response times, and detect errors or downtime.
  • Application performance monitoring (APM) is a critical component of cloud monitoring. It measures the availability and performance metrics of distributed cloud-based apps in a single pane of glass. APM software helps IT teams quickly troubleshoot issues, and boost functionality and observability of the enterprise application environment. It improves user experience, minimizes application downtime, and meets service level agreements (SLAs).
  • Cloud storage monitoring focuses on evaluating the usage, performance, and availability of cloud storage resources used by virtual machines, services, databases, and applications.
  • Virtual machine (VM) monitoring tracks the users, traffic, workloads, and capacity of virtual machines scaled out in IaaS solutions.  It helps spot underutilized or overused VMs and streamline resource allocation.
  • Virtual network monitoring is used to check network connectivity and health. It ensures their virtual network components like routers and load balancers aren’t overwhelmed with unwanted traffic, and their vital cloud network connections aren’t offline.
  • Unified monitoring is more of a strategy than a technique focused on entire IT monitoring, including cloud services. It brings together monitoring of network, server, storage, databases, virtual machines, containers and all cloud services under a single umbrella instead of a separate point solution. Organizations can configure a unified cloud monitoring solution from single or multiple vendors to get full visibility into their tech stack end-to-end.

Based on a company's cloud environment and needs, these monitoring techniques can be used together or separately.   

Importance of hybrid and multicloud monitoring

Today, many organizations adopt hybrid cloud and multi-cloud architectures to benefit from different cloud providers and maintain flexibility in their infrastructure.

While a private cloud offers extensive visibility and control, the same can’t be said about a public cloud. Similarly, hybrid or multicloud models don’t offer great insight into the cloud environment because they combine multiple cloud deployment models on top of on-premise infrastructure. They add complexity and make it difficult to identify bottlenecks in the cloud environment, inhibiting performance and usage.

Cloud monitoring solutions solve these issues. They provide smooth integrations with cloud vendor performance data, aggregate those from various cloud services and provide total visibility under a single platform. This allows IT and DevOps teams to make better cloud management decisions.

Benefits of cloud monitoring

Cloud monitoring gives enterprises a holistic picture of the complex, distributed cloud environment using interactive dashboards. It helps  troubleshoot issues before they cause disruption. This increases IT teams' efficiency and plays a crucial role in how cloud applications function. And these are just some of the advantages.

  • Enhanced security: By monitoring cloud resources, services, and access patterns, organizations detect and mitigate cybersecurity threats promptly. It helps ensure data protection, compliance with industry regulations, and early identification of unauthorized access attempts or suspicious activities.
  • Effective capacity planning: Cloud monitoring services provide cloud usage patterns and performance trends that help enterprises effectively plan their cloud capacity. They can scale resources up or down based on demand and optimize resource allocation.
  • Cloud cost optimization:  Capacity planning also helps reduce unnecessary cloud spend by identifying inefficiencies with overprovisioning and underprovisioning of cloud resources.
  • Proactive issue resolution: Automated cloud monitoring notifies cloud administrators about performance issues in real time so the IT team  addresses the problems before they impact users or disrupt operations, reducing the mean time to repair (MTTR) and improving overall system reliability.
  • Improved end-user experience: By monitoring application performance and responsiveness, organizations enhance the user experience and ensure the best service delivery and customer satisfaction. 

Cloud monitoring best practices

As important as it is, businesses need to follow several practices to get the most out of their cloud environment.

  • Define objectives. Goal-setting is foremost for any IT monitoring strategy. Organizations should lay out specific goals and establish key metrics and key performance indicators (KPIs) for cloud monitoring specific to their cloud infrastructure.
  • Use a unified platform. Businesses should use a single platform to view and manage all data in one place and have complete visibility into their cloud environment in real time.
  • Utilize automation. Automation in cloud monitoring tools improves data collection, analysis, notifications, and visualization. It reduces manual effort, ensures consistency, and enables proactive monitoring across large-scale cloud environments. Businesses should turn to automation to significantly increase the operational efficiency of IT teams.
  • Use performance baselines. Analyze historical data from cloud applications and the connected infrastructure and establish performance benchmarks to compare current performance against expected norms. This aids in identifying anomalies and performance degradation.
  • Review and refine. Businesses should regularly assess the effectiveness of their IT monitoring setup and make necessary adjustments. For the best outcomes, they should continuously refine their strategy based on evolving business requirements, changes in application architecture, and emerging industry practices.
Read our review of top cloud monitoring tools with pros, cons, and pricing insights.

Cloud Monitoring Software

This list shows the top software that mention cloud monitoring most on G2.

Amazon CloudWatch is a comprehensive monitoring and observability service designed to provide real-time insights into AWS resources, on-premises servers, hybrid environments, and applications. It enables users to collect and track metrics, monitor log files, set alarms, and automatically react to changes in their AWS resources. By offering a unified view of operational health, CloudWatch helps organizations optimize application performance, manage resource utilization, and maintain system reliability. Key Features and Functionality: - Metrics Collection and Monitoring: Automatically collects and tracks metrics from over 70 AWS services, including Amazon EC2, Amazon S3, and AWS Lambda, providing up-to-the-minute data on resource performance. - Log Management: Aggregates and stores logs from various sources, such as AWS services and on-premises servers, facilitating real-time monitoring and analysis. - Alarms and Automated Actions: Allows users to set alarms based on predefined thresholds, triggering automated actions like scaling resources or sending notifications when specific conditions are met. - Dashboards and Visualization: Offers customizable dashboards that display metrics and logs, enabling users to visualize data and gain insights into system performance. - Application Performance Monitoring (APM): Provides tools like Application Signals and CloudWatch Synthetics to monitor application health, detect anomalies, and simulate user interactions for proactive issue detection. - Container and Serverless Monitoring: Includes features like Container Insights and Lambda Insights to monitor containerized applications and serverless functions, offering detailed performance metrics and diagnostics. Primary Value and Problem Solving: Amazon CloudWatch addresses the critical need for comprehensive monitoring and observability in modern IT environments. By consolidating metrics, logs, and events into a single platform, it eliminates the complexity of managing multiple monitoring tools. This integration enables faster detection and resolution of operational issues, reducing downtime and improving system reliability. CloudWatch's automated actions and alarms allow for proactive management of resources, ensuring optimal performance and cost efficiency. Additionally, its support for various environments, including on-premises and hybrid setups, makes it a versatile solution for diverse infrastructure monitoring needs.

Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.

FortiCNAPP is a comprehensive Cloud-Native Application Protection Platform (CNAPP) that consolidates Cloud Security Posture Management (CSPM), Cloud Workload Protection (CWPP), Cloud Infrastructure Entitlement Management (CIEM), Kubernetes security, and compliance into a single solution. Using AI-based anomaly detection and behavioral analytics, FortiCNAPP continuously monitors cloud environments to identify misconfigurations, vulnerabilities, and active threats in real time. The platform supports agentless and agent-based deployment models, ensuring flexible coverage across diverse architectures. FortiCNAPP also integrates with the Fortinet Security Fabric, correlating cloud data with network and endpoint insights from FortiGuard, FortiSOAR, and more, delivering full-stack threat context, faster remediation, and unified risk management.

LogicMonitor is the SaaS-based, automated performance monitoring platform that provides agile IT Ops teams with the visibility and actionable metrics they need to ensure the availability of services and applications running on complex and distributed infrastructure.

An all-in-one cloud monitoring service for DevOps and IT operations with broad monitoring capabilities covering applications, servers, networks, public and private clouds, websites and web apps.

Instana automatically discovers, maps, and monitors all services and infrastructure components across on-prem and cloud, providing AI-driven application context, issue remediation to enhance IT operations. Instana’s zero-configuration dashboards help reduce toil for SRE and DevOps teams, helping them spend more innovating than troubleshooting. Its automated playbooks seamlessly address common issues and precise ML-driven alerts help manage rapid change, thereby enhancing infrastructure availability. These capabilities in help in predicting and managing IT budgets to support increase in demand during peak cycles.​

An application performance management solution that monitors every line of code to help resolve application issues, make user experience improvements, and monitor application performance.

Stackdriver Monitoring provides visibility into the performance, uptime, and overall health of cloud-powered applications.

Dynatrace has redefined how you monitor today’s digital ecosystems. AI-powered, full stack and completely automated, it’s the only solution that provides answers, not just data, based on deep insight into every user, every transaction, across every application. The world’s leading brands trust Dynatrace to optimize customer experiences, innovate faster and modernize IT operations with absolute confidence.

Helping you stay up and running from simple to the most complex environments

Google Stackdriver offers monitoring, logging, and diagnostics for applications on Cloud Platform and AWS.

Kentik is a network intelligence company that specializes in helping deliver optimal network experience to customers and users.

Azure Monitor is a comprehensive monitoring solution designed to maximize the availability and performance of applications and services across cloud and on-premises environments. It collects, analyzes, and acts on telemetry data, providing deep insights into system behavior and facilitating proactive issue resolution. By offering end-to-end observability, Azure Monitor enables organizations to maintain optimal operational health and enhance user experiences. Key Features and Functionality: - Unified Monitoring: Azure Monitor provides a centralized platform to monitor applications, infrastructure, and networks, offering a holistic view of system performance. - Data Collection and Analysis: It collects diverse telemetry data, including metrics, logs, and traces, and utilizes powerful analytics tools to identify trends and anomalies. - Visualization Tools: The service offers customizable dashboards and workbooks, enabling users to visualize data effectively and gain actionable insights. - Alerting and Automation: Azure Monitor supports near-real-time alerts and automated responses, allowing for prompt issue detection and resolution. - Integration Capabilities: It seamlessly integrates with Azure services, third-party tools, and on-premises systems, ensuring flexibility and extensibility. Primary Value and Problem Solving: Azure Monitor addresses the critical need for comprehensive observability in complex IT environments. By providing real-time insights and proactive monitoring, it helps organizations: - Enhance Performance: Identify and resolve performance bottlenecks swiftly, ensuring optimal application and service delivery. - Ensure Availability: Detect and mitigate issues before they impact users, maintaining high availability and reliability. - Optimize Resources: Analyze usage patterns to make informed decisions about resource allocation and cost management. - Support Compliance: Maintain security and compliance standards through continuous monitoring and auditing capabilities. By leveraging Azure Monitor, organizations can achieve operational excellence, improve user satisfaction, and drive business success through informed, data-driven decisions.

The comprehensive way to operate, manage and monitor Azure Serverless Services related to Enterprise Integration

Cloud Endpoints enables users to develop, deploy, protect and monitor their APIs.

Sematext is a globally distributed organization that builds innovative Cloud and On Premise solutions for infrastructure and application performance monitoring and log management.