Everything you need to know about cloud monitoring

As cloud technology continues to expand at a rapid pace, businesses today, increasingly rely on leading cloud vendors such as Google Cloud Platform, Azure and AWS for data storage, processing, and hosting applications. As a result, cloud monitoring has become an essential component of successfully managing and maintaining a cloud computing environment.

In this article, we will delve deep into what cloud monitoring is all about, its importance, and how to maintain a healthy cloud infrastructure to deliver a seamless experience for the end-users.

What is cloud monitoring?

Cloud monitoring is the process of tracking and managing the performance, availability, and security of infrastructure resources and applications hosted on the cloud. It involves monitoring various cloud-based systems, such as servers, databases, applications, and networks, to ensure their smooth functioning and help you gain valuable, real-time insights. Monitoring of cloud resources is typically performed using specialized cloud monitoring tools that collect data from various cloud-based systems and present them in a user-friendly format for analysis and reporting. This allows you to proactively address any potential issues and prevent disruptions to your operations.

Why is cloud monitoring important?

Your cloud infrastructure can appear healthy but the applications running can perform sluggishly. Monitoring cloud resources alone may not reveal the underlying cause of an application issue, making it important to correlate infrastructure metrics with application and database performance. Consider this scenario: An e-commerce company hosts its website on AWS.

During a major sale, customers begin experiencing slow checkout times. The application servers are running, and CPU utilization appears normal. However, database queries are taking longer than usual, delaying order processing. Without visibility into both infrastructure and application performance, the IT team may spend valuable time investigating the wrong components. However, by correlating cloud infrastructure performance with application performance data, the team identify the bottleneck, and take corrective action. This illustrates why effective cloud monitoring goes beyond checking whether cloud resources are available. It helps IT teams understand how resource utilization, application dependencies, and workload behaviour affect service delivery, enabling faster troubleshooting. This makes cloud monitoring an indispensable part while designing your IT strategy.

Types of cloud monitoring

There are several factors to take into account when it comes to multi or hybrid cloud monitoring. As applications rely on a variety of elements and technologies, both within and outside of the cloud infrastructure, it is important to track metrics related to all of these dependent technologies in order to ensure that the apps are performing at their best. Therefore, the umbrella of cloud performance monitoring can be broken down into the following types:

Cloud infrastructure monitoring

Cloud infrastructure monitoring or cloud server monitoring involves tracking the health and performance of resource components in the cloud infrastructure. These components include servers, virtual machines, databases, storage, containers, load balancers, and more. It helps to identify and resolve issues related to resource utilization, network connectivity, and hardware failures. It offers complete visibility into the status of these components and generates alerts when any anomalies are detected.

Cloud application monitoring

Cloud application monitoring focuses on tracking the performance and availability of cloud-based applications. It offers real-time application performance monitoring capabilities and enables to optimize web applications built on the cloud by providing insightful information. It involves monitoring various key metrics such as response time, error rates, and resource utilization to identify and troubleshoot issues that may affect the user experience and also facilitates with deep insights into application dependencies, helping in optimizing resource allocation for better performance.

Cloud network monitoring

Cloud network monitoring involves the continuous monitoring of the performance and availability of the network components in a cloud environment. It helps to identify and troubleshoot issues related to network connectivity, bandwidth utilization, and offers real-time visibility into network traffic, helping in detection and resolution of any potential security threats in the network infrastructure.

Cloud security monitoring

Cloud security monitoring involves monitoring the security posture of a cloud environment. It helps to identify and mitigate potential security risks and vulnerabilities and provides instantaneous alerts whenever any suspicious activity or unauthorized access attempts are detected, helping organizations take immediate action to protect their cloud resources.

Cloud cost monitoring

As you scale cloud services, the cost incurred grows along with it. Sometimes, it may blow out your budget without your knowledge unless proper measures are taken to monitor it periodically. Cloud cost monitoring helps in analyzing and estimating the cost of resources and services spent on the cloud. It helps organizations optimize their cloud spending and identify any cost-saving opportunities by providing deep insights into resource utilization and recommends ways to right-size resources for better cost efficiency.

Top 5 industry best practices

1. Set up the foundation

Cloud errors and untracked resources can quickly lead to huge bills and security risks. To prevent this, build a solid foundation before launching anything:

• Separate Environments: Keep Dev, Test, and Prod isolated so mistakes in testing never break production.
• Tag Everything & Limit Access: Every resource must be tagged with labels like owner and app to track costs, and give team members only the permissions they strictly need.
• Protect Secrets & Set Budgets: Store passwords in a dedicated secrets manager and configure automated budget alerts to catch runaway spend early.
• Test Backups & Automate Enforcement: Regularly verify that backups can actually be restored. Most importantly, use automated rules to block any deployment missing tags—because human memory will always fail at scale.

2. Define what “healthy” means

Determine the service level objectives (SLOs) for your cloud environment, begin with what your users need to work, such as logging in, paying, and loading pages quickly. Pick two or three measurable targets for these journeys and they shall become your (SLOs).

An example is “99.9% of checkout requests succeed in under 500 milliseconds.” Then build your main dashboards and alert configurations around these targets, and group your servers and services by the business application they support.

3. Alert on user impact, not noise

Send urgent, critical alerts—such as phone call notifications—only when users are affected and immediate action is required. Route other alerts through less intrusive channels, such as chat, email, or ticketing systems.

Tune alert thresholds to reflect normal application behavior, and configure alerts to trigger only when an issue persists for a defined period. Consider linking a concise runbook to every critical alert so teams can respond quickly. Review and eliminate unnecessary alerts, and leverage alert correlation capabilities in leading application performance monitoring (APM) solutions to reduce alert noise and help identify the underlying cause of issues.

4. Collect metrics, logs, and traces

Metrics show that something is wrong, logs show what happened, and traces show where it failed. Add a request ID to every log line so you can easily trace a failing request. Also, set up synthetic checks—automated tests that simulate real user actions (like logging in or loading a page) from multiple locations around the world.

This ensures you catch outages, slow loading speeds, or expired SSL certificates before your actual users do. Finally, set alerts for when data stops arriving entirely, because a silent server can easily look like "all fine."

5. Manage the cloud sprawl complexity

Cloud platforms make it effortless to deploy resources instantly, but doing so indiscriminately without a plan creates severe monitoring complexity and skyrocketing costs over time. To keep your cloud environment clean, manageable, and affordable for the long term:

• Control Data Volume: Avoid attaching high-cardinality values like user IDs to metrics, as they multiply data costs. Keep full raw logs for just a few days or weeks, retain summaries for long-term trends, and keep debug logging turned off in production by default.
• Track Ownership & Costs: Maintain an up-to-date inventory of all active resources and their owners, and make spending visible per team so everyone stays accountable.
• Establish Regular Audits: Build a structured review schedule—check costs and backups weekly, clean up unused resources and noisy alerts monthly, and audit access permissions and disaster recovery plans quarterly.
• Prioritize Simplicity: Resist adding extra tools or architecture layers unless there is a clear, real-world operational need.

How to Troubleshoot Cloud Performance Issues

When a cloud-hosted application becomes slow or unavailable, the cause may lie in the underlying infrastructure, network, application, or database. Rather than investigating each component independently, IT teams should follow a systematic approach to identify where performance is degrading and why.

Consider an e-commerce application hosted on AWS. Customers report slow checkout times, even though the website is still accessible. Here's how the IT team can investigate the issue.

1. Identify the symptoms and scope of the issue

Start by determining what is affected. Is the entire application slow, or are only specific functions, such as checkout or product search, experiencing problems? Are all users affected, or only those accessing the application from a particular region?

Check application response times, error rates, and request volumes to understand when the issue started and how widespread it is. Compare these metrics against historical baselines to identify unusual changes.

2. Check cloud infrastructure health

Examine the cloud resources supporting the application, including virtual machines, containers, storage, and load balancers.

Review CPU utilization, memory usage, disk capacity, storage latency, and instance health. For example, consistently high CPU utilization or insufficient available memory may indicate that an application server is struggling to handle its workload.

If infrastructure metrics appear normal, don't assume the application is healthy. Continue investigating the other layers.

3. Investigate network connectivity and latency

Check whether network delays are contributing to the performance issue. Review network throughput, packet loss, latency, load balancer health, and connectivity between application components, where these metrics are available.

For example, if users in one geographical region experience slow checkout while others do not, investigate regional network paths, content delivery, and the location of the application resources.

4. Examine application performance

Review application response times, request throughput, error rates, and transaction traces to identify slow operations.

For example, the checkout page may take several seconds to load because the application is waiting for a payment API or database query to complete. Distributed tracing and application-level diagnostics can help identify which operation is introducing the delay.

5. Check database and dependent services

Investigate database query latency, connection pool usage, active connections, storage performance, and resource utilization. Also examine external APIs, message queues, and other services the application depends on.

For example, if checkout requests are waiting for slow database queries, adding more application servers may not resolve the underlying bottleneck. The team may need to optimize queries, investigate database contention, or adjust connection management.

6 Diagnose, Resolve, and Verify

When an incident occurs, quickly tracking down the exact cause and applying a permanent fix prevents extended downtime. To handle troubleshooting efficiently:

• Correlate Signals to Find the Root Cause: Bring together metrics, logs, and traces to compare timelines and see which component failed first (e.g., tying a spike in web latency directly to a slow database query). Leveraging modern AIOps capabilities can automatically correlate these events across complex environments, helping you pinpoint the true root cause instantly rather than chasing secondary symptoms.
• Apply the Fix and Verify Recovery: Implement the corrective action—such as optimizing a query, fixing code, or adjusting resource capacity. Then, continue monitoring error rates and response times to confirm performance has fully returned to normal.
• Document and Prevent: Record what caused the issue and how it was resolved, using those lessons to improve your alerts, refine automated playbooks, and prevent similar incidents in the future.

7. Keep Stakeholders and Customers Informed

Even if your infrastructure is in the cloud, your end users and business leaders only care about one thing: is the application working? Technical details don't matter to them during an outage—clear communication does.

• Acknowledge Quickly: As soon as an issue is detected, inform impacted stakeholders and customers that you are aware of the problem and actively working on a fix.
• Provide Clear Status Updates: Share high-level, non-technical updates regarding the impact (e.g., "Login service is currently degraded") and estimated recovery times where possible.
• Build Trust: Proactive transparency reassures users that their business is in safe hands, even when things break, preventing floodgates of support tickets and frustration.

Benefits of Cloud Monitoring

Following are the list of benefits that the cloud monitoring tools offer in your cloud infrastructure:

• Proactive incident resolution: Cloud monitoring offers real-time visibility into the performance and availability of cloud-based resources, enabling businesses to identify and resolve potential issues before they impact operations.
• Enhanced performance: By monitoring key metrics such as CPU usage, memory utilization, and response time, cloud monitoring helps businesses identify and address bottlenecks, leading to optimized performance of their cloud resources.
• Cost optimization: With cloud monitoring, businesses can track resource utilization and identify underutilized resources, allowing for efficient resource allocation and cost reduction.
• Enhanced security: Real-time cloud monitoring tools can detect any abnormal activity or potential security threats, enabling businesses to take immediate action and prevent security breaches.
• Better decision making: By providing real-time data and insights, cloud monitoring empowers businesses to make informed decisions about their cloud infrastructure, resource allocation, and application performance.

Get started with cloud monitoring using Applications Manager!

Embark on your cloud monitoring adventure and enhance the efficiency of your cloud operations with Applications Manager. This cutting-edge cloud monitoring software provides in-depth analysis of your cloud infrastructure, ensuring seamless operation of your services and optimal performance of your cloud-based applications. Its advanced alerting and reporting capabilities allow you to stay ahead of any potential performance issues and swiftly resolve them, safeguarding your clients' satisfaction. Experience the power of Applications Manager by scheduling a personalized demo or trying our 30-day free trial to unleash the full potential of our cloud monitoring solution.