Cloud-scale monitoring with Azure

Modern cloud infrastructure requires cloud-scale monitoring. Azure Monitoring collaborates with other Azure services to gather and analyze data on the performance, health, and availability of your applications, infrastructure, and resources. The service offers extensive features for creating custom metrics, tracking performance, logging events, generating alerts, and presenting data and analytics.

For businesses moving to the cloud, Azure Monitoring is critical to ensuring reliability and security.

In this white paper, we will discuss in depth different monitoring strategies, Azure monitoring solutions including for containerized applications, and how to build a robust monitoring solution for Azure services.

Cloud monitoring strategy

Organizations must consider their needs and goals when designing a cloud monitoring strategy. In a real-world use case of an enterprise migrating to Azure, this strategy involves:

  • Selecting appropriate monitoring tools
  • Identifying critical resources
  • Deploying monitoring agents
  • Defining KPIs and alert thresholds
  • Establishing incident response processes
  • Automating monitoring tasks
  • Visualizing data through dashboards
  • Continuously improving the strategy

Following these steps is key to ensuring optimal performance, high availability, and timely detection of issues in an Azure environment.

Monitoring strategy for cloud deployment models

Due to their differences, monitoring tactics for public, private, and hybrid cloud deployment models may vary.

Public cloud monitoring strategy

The goal is to optimize performance, availability, and security in a public cloud environment while ensuring efficient operations and meeting business objectives.

Private cloud monitoring strategy

Monitoring tools and agents should collect performance statistics, logs, and security details for private cloud monitoring, including on-premises workers. Resource utilization, application performance, and security should determine monitoring policies and thresholds.

Tracking private cloud virtual machines, storage, network activities, and other infrastructure is crucial. Organizations can implement services such as Azure Arc for monitoring private clouds. Integrating infrastructure management and configuration tools can additionally automate provisioning, monitoring, and scalability.

Hybrid cloud monitoring strategy

This entails the use of both private and public cloud monitoring software. Organizations should leverage tools to integrate monitoring data from both on-site and cloud resources into one platform. This enables you to analyze hybrid infrastructure resource utilization, application performance, and security.

Collecting the right data

Gaining insightful information and successfully managing your Azure resources and applications both depend on gathering the appropriate data for Azure monitoring.

Start by defining your monitoring goals and then select the relevant Azure components to monitor. Organizations should implement the following services to optimize application/resource performance and security in your Azure environment:

  • Application Insights to monitor and uncover performance issues. You can integrate it with the respective SDK to capture advanced metrics and send them to Application Insights for further analysis.
  • Azure Monitor Logs to improve troubleshooting based on resource performance metrics and to assist with compliance. Azure Monitor uses Log Analytics workspace for storing logs and KQL to query/filter logs.
  • Distributed tracing to identify performance bottlenecks and dependencies in distributed applications
  • Diagnostics logging to see Azure processes and system functions
  • Azure Security Center and Azure Sentinel for security monitoring

Organizations should also incorporate third-party technologies to improve monitoring and collect data from multiple sources.

Responding to alerts

Email, SMS, or webhooks are all available for sending Azure alerts. After receiving an alert, you can review monitoring data, logs, and other related metrics to find the root cause of a problem. The services listed above all assist organizations in this process, after which they must decide upon the appropriate response level and remediation. This could include scaling resources, restarting services, changing configurations, or automating remediation.

Alerts may also mandate escalation to higher-level support or specialist teams for further investigation or action.

Having incident response policies in place and following best practices will expedite issue resolution.

Products and services for Azure monitoring

Azure Monitor is Azure’s primary solution for monitoring. However, there are other native Azure services for this purpose, along with third-party monitoring solutions that work in combination with Azure, such as ManageEngine’s Site24x7.

Azure Monitor

Azure Monitor collects and analyzes performance metrics from Azure resources for a unified monitoring experience. It includes Log Analytics for log data analysis and Application Insights for performance monitoring.

With Azure Monitor, users can set up alerts, customize dashboards, and visualize data. It additionally integrates with other Azure services, supports security monitoring, and permits integration with third-party tools.

Azure Logic Apps

Azure Logic Apps allows for the collection of monitoring data from Azure services and tools including Azure Monitor and Log Analytics. It can receive alerts, trigger workflows based on specific conditions, and automate remediation tasks, as well as generate reports and visual dashboards based on monitoring data.

Azure Logic Apps offers a comprehensive and flexible tool for monitoring and managing applications in Azure.

Azure Automation

Azure Automation creates and executes PowerShell runbooks for monitoring tasks. It integrates with Azure Monitor, Log Analytics, and other services to collect metrics, trigger actions, and generate reports.

Azure Automation can also automate tasks for scheduled execution and create workflows based on your requirements.

Azure Arc

Organizations can onboard non-Azure resources for monitoring using Azure Arc. By integrating with Azure Monitor, lightweight agents collect telemetry data, which can then be stored and analyzed using Azure Log Analytics and Azure Monitor Metrics. Organizations can also configure alerts and notifications, while Azure Policy ensures governance and compliance.

Azure Arc provides a centralized view of Azure-native and Arc-enabled resources, with enhanced security monitoring capabilities through integration with other Azure services.

Azure Event Hubs

Azure Event Hubs enables the ingestion of telemetry data, offering scalability and reliability. Integration with Azure Stream Analytics and Azure Monitor allows for real-time data processing, insight generation, and proactive monitoring; it also ensures the security and compliance of monitoring data.

For long-term data retention, Azure Event Hubs can be connected to Azure Storage or Data Lake Storage.


Site24x7 automates the discovery and monitoring of Azure resources, providing real-time monitoring, customizable alerts, and notifications. It ensures continuous resource availability, along with performance monitoring features, while integration with Azure AD guarantees secure access control.

Site24x7 also comes with predefined templates to assist in compliance monitoring and extensive support for monitoring applications and infrastructure from different platforms.

Further capabilities include:

  • Website monitoring of your DNS servers, SSL/TLS certificates, POP servers, URLs, REST APIs, and multiple other internet services
  • Public cloud and private cloud monitoring for complete visibility over all of your cloud tools; enables workload monitoring and problem resolution using Amazon Web Services, Azure, GCP, VMware, and other platforms
  • Network monitoring for essential network devices, e.g., routers, switches, and firewalls; provides a clear picture of the performance you need to run large networks
  • Log management for cloud application monitoring
  • Server monitoring for important metrics from Docker, Kubernetes, VMware, Windows, Linux, FreeBSD, and Nutanix; enables root cause analysis to keep track of outages and find the source of system problems

Additionally, Azure Kubernetes Service (AKS) can monitor via an agent installation on the cluster, providing detailed metrics on CPU, memory, disk, network, and control plane metrics. The agent also collects Kubernetes events and container logs, which is helpful for developers and DevOps engineers to fine-tune applications and troubleshoot incidents.

Monitoring containerized applications in Azure

Monitoring container applications is critical for ensuring the availability of services. Azure provides monitoring services for detailed visibility to help identify potential issues.

Overview of containerized applications

Azure containerized applications improve deployment flexibility, scalability, and resource consumption. Through integration with Azure services and DevOps methods, they simplify application lifecycle management, resource management, and application deployment.

Here's an overview of containerized applications in Microsoft Azure:

  • Azure Container Instances (ACI) enables the running of containers without having to handle the infrastructure. It offers fast application startup, automatic scaling, and per-second pricing.
  • Azure Kubernetes Service (AKS) streamlines Kubernetes-based application deployment, scaling, and management. AKS is a reliable and scalable container management platform.
  • Azure Container Registry stores Docker container images privately. It supports geo-replication, secure access, and Azure services like AKS.
  • Azure Container Apps handles infrastructure management for containerized apps, monitoring, securing, and configuring them declaratively so developers can focus on development. It also supports CI/CD pipelines, Azure services, and auto-scaling.

Key points when monitoring containerized applications

Organizations must pay attention to several important areas when monitoring Azure containerized apps to ensure availability, performance, security, and proactive issue response and optimization.

  • Container metrics: Monitor disk I/O, network traffic, CPU consumption, and memory utilization to identify performance and capacity issues.
  • Orchestrator monitoring: Keep track of resource allocation, as well as node, pod, and cluster health in container orchestration platforms like AKS.
  • Application logs: Gather and analyze logs from containerized apps to troubleshoot errors and get a clearer view of application behavior.
  • Container events: Monitor container events such as formation, termination, scaling, or restarts to detect any unusual activity.
  • Resource monitoring: Monitor metrics for resource availability, performance, and utilization of underlying Azure resources for containerized apps.
  • Alerting and notifications: Create alerts based on thresholds or anomalies to receive timely notifications and address potential issues.
  • Service discovery and load balancing: Ensure proper functioning of load balancers and service discovery mechanisms for application availability and performance.
  • Integration with Azure monitoring services: Utilize Azure monitoring services to centralize monitoring data, perform advanced analysis, and gain deeper insights.
  • Performance optimization: Continuously track and evaluate performance metrics to identify areas for improvement, adjust resource allocation, and optimize container setups.

Key application metrics to monitor: E-commerce use case

Say an e-commerce enterprise deploys containerized software using AKS. Looking to optimize performance and discover UX issues, they leverage Azure Monitor to keep track of and receive alerts on the following metrics:

  • Response and error rates: To execute rapid investigation and resolution if the application's response time or error rate exceeds a threshold
  • Throughput: To ensure the application can manage the predicted workload
  • CPU and memory consumption: To optimize resource allocation
  • Network traffic and disk I/O: To look for irregularities that could affect application performance or availability
  • Query response time, transaction throughput, and database connection pool utilization: To address any database performance concerns, which are critical to an e-commerce company
  • Concurrency and scaling parameters: To guarantee the application can manage rising demand and automatically scale resources as needed
  • Conversion rates and average order value: To assess the achievement of company goals

These measurements and Azure Monitor Insights allow the organization to proactively identify and resolve performance issues, manage resource allocation, and create a seamless user experience.

Containerized application monitoring with Azure services

Containerization has become an important part of launching apps quickly and easily. However, organizations must monitor it closely for proper functioning and reliability.


The Site24x7 cloud-based monitoring system offers comprehensive monitoring features for Azure container services:

  • Container performance monitoring: Monitors crucial metrics of Azure container services, e.g., CPU consumption, network traffic, memory usage, and disk I/O, to locate bottlenecks and pinpoint resource allocation issues
  • Container health monitoring: Regularly monitors the functionality and availability of Azure container services, sending real-time notifications of crashes or failures
  • Resource monitoring: Tracks CPU, memory, and storage usage of Azure container services, allowing for efficient resource allocation
  • Container log monitoring: Collects and analyzes logs from Azure container services, helping identify faults, exceptions, and important events for effective problem-solving
  • Container scalability monitoring: Monitors the scaling of Azure container services, providing insights into the number of container instances and ensuring successful application scaling
  • Real-time alerts and notifications: Offers configurable alerts and notifications based on container metrics, allowing for quick responses to urgent situations
  • Integration with Azure Monitor: Provides a combination of metrics and logs from Azure container services with other resources for comprehensive monitoring and troubleshooting.
  • Reporting and dashboards: Provides customizable reporting features and dashboards to visualize and track the performance and overall health of Azure container services

This allows organizations to react rapidly to emergencies with real-time alerts and efficiently troubleshoot by using Azure Monitor. Site24x7’s customizable reporting and dashboards additionally show Azure container services' health, proactively monitoring and optimizing containerized applications for smooth and efficient operation.

Azure Kubernetes monitoring with Site24x7 Fig. 1: Azure Kubernetes monitoring with Site24x7 Azure Kubernetes Service metrics with Site24x7 Fig. 2: Azure Kubernetes Service metrics with Site24x7

Application Insights

The Application Insights SDK allows organizations to monitor containerized applications. Telemetry data is collected for troubleshooting, while distributed tracing lets you detect performance bottlenecks and dependencies by tracking requests as they pass through your application.

  • Response times, request rates, and resource use reveal your application's health and efficiency.
  • Periodic requests and responses can assure application availability.
  • Custom metrics and events for your application let you track crucial business indicators.
  • Real-time monitoring and adjustable warnings for thresholds or anomalies detect crucial situations quickly.
  • Analytics tools let you query and analyze telemetry data for insights and trends.

Azure Monitor

Azure Monitor collects container-level metrics, including CPU usage, network traffic, memory utilization, and disk I/O, to indicate resource consumption and performance. With a range of services under its umbrella, it monitors container activity, application behavior, and troubleshooting.

Azure Container insights analyzes data from container workloads running in AKS, detecting abnormal container metrics and threshold breaches. This helps developers and administrators troubleshoot and fix issues faster.

Azure Container insights workbooks let organizations visualize metrics on a dashboard and create custom reports. Azure Log Analytics supports container log and metric correlation, data analysis, and log querying. The connection between the Log Analytics workspace and Container insights improves containerized application troubleshooting and diagnostics.

You can also set up alerts and action groups under Azure Monitor. Automated stakeholder notifications, corrective actions, and scaling all help resolve issues and maintain container performance.

Azure Kubernetes Service monitoring with Azure Monitor Fig. 3: Azure Kubernetes Service monitoring with Azure Monitor Azure Kubernetes Service metrics monitoring Fig. 4: Azure Kubernetes Service metrics monitoring Pod and container monitoring for AKS Fig. 5: Pod and container monitoring for AKS

Cloud-native application monitoring tools (Grafana, Prometheus, Loki)

Organizations can also implement cloud-native monitoring technologies such as Grafana, Prometheus, and Loki to monitor Azure container services.

  • Grafana is a customizable dashboarding tool that can visualize metrics from Prometheus or Azure Monitor for monitoring Azure container services.
  • Prometheus is a monitoring system for time-series data, commonly used for monitoring containerized applications. It can collect and store metrics from Azure container services and other sources.
  • Loki is a log aggregation tool created for cloud-native environments. It can collect and index logs from Azure container services, enabling efficient log storage and analysis.

Inside the Kubernetes cluster, you can configure Grafana, Prometheus, and Loki and then gather metrics via the exporters. To take things one step further, the Prometheus Operator allows you to provision a powerful monitoring solution within Azure Kubernetes Service. Prometheus sets up alerting rules for real-time problem solutions. These technologies enhance Azure container services for improved containerized application visibility, proactive monitoring, and troubleshooting.

There are different deployment approaches for installing the Kube Prometheus Stack, the most common one being a Helm deployment. Following is an example of using a Helm chart to deploy the Kube Prometheus Stack:

Monitoring Kubernetes with Prometheus Fig. 6: Monitoring Kubernetes with Prometheus Prometheus dashboards for Kubernetes Fig. 7: Prometheus dashboards for Kubernetes Metrics monitoring with Prometheus Fig. 8: Metrics monitoring with Prometheus Cluster-level metrics monitoring with Grafana Fig. 9: Cluster-level metrics monitoring with Grafana

Azure managed services for Prometheus and Grafana

Azure Managed Prometheus and Azure Managed Grafana integrate with Azure Monitor, allowing you to monitor Azure container services without maintaining infrastructure. These solutions simplify the deployment, configuration, and scaling of Azure services, as well as your interaction with them, so that you can focus on gathering meaningful data and ensuring the performance and availability of your containerized programs.

Ability to scale for high workloads, allowing you to track and measure container apps of any size and provide a configuration to set thresholds and be alerted to any anomalies via email or webhooks

An enterprise application can additionally use the Azure Prometheus/Grafana managed service to monitor AKS. This allows organizations to visualize metrics in depth and observe the behavior of the application and resources.

The Azure Managed Prometheus/Grafana service provides pre-built dashboards with useful metrics, although organizations can also create custom ones.

Azure Managed Prometheus for Azure Kubernetes Fig. 10: Azure Managed Prometheus for Azure Kubernetes Azure Managed Prometheus dashboard Fig. 11: Azure Managed Prometheus dashboard Data connector for Azure Managed Prometheus Fig. 12: Data connector for Azure Managed Prometheus

Monitoring Azure Container Apps

The built-in observability tools of Azure Container Apps let you monitor your container app's health throughout its lifecycle.

These tools include the following:

  • Log streaming: Containers use console logs to output various types of logs, such as errors, warnings, and other information. Azure Container Apps provides a similar capability to monitor application state in real time.
  • Container console: Users can connect to the console to troubleshoot or view certain components.
  • Azure Monitor Metrics: Via Azure Monitor, users can monitor container metrics and create alerts and dashboards based on CPU, memory, and request counts.
  • Application logging: Container applications produce different types of logs, such as for web services, debugging, and other information. All of these are essential for troubleshooting and monitoring container-based applications.
  • Azure Log Analytics: This provides a platform for storing both logs and metrics. It also uses Kusto Query Language (KQL), which helps create complex queries, analyze intricate application behavior, and log data.
  • Azure Monitor alerts: These facilitate sending alerts and can integrate with different alerting systems such as ITSM, email, SMS, and more.
Azure Container Apps metrics Fig. 13: Azure Container Apps metrics Azure Container Apps logs Fig. 14: Azure Container Apps logs

With the integration of Site24x7, you can monitor your container applications with precise metrics, make adjustments to thresholds, and receive immediate notifications if there is an alert.

Site24x7 supports the following metrics for Azure Container Apps:

  • Replica count
  • Requests
  • Replica restart count
  • Network in bytes
  • CPU usage
  • Memory working set bytes

Configure alerts and automation

Configuring Azure container application alerts and automation involves setting up monitoring rules, selecting alert criteria, and automating actions based on those warnings.

Organizations must properly define metrics and log alerts to monitor container application availability, performance, and health. Setting Azure Monitor thresholds or conditions based on specific time intervals and other characteristics will also alert you when certain measurements or events diverge.

Based on your automation needs, you can choose email, SMS, webhooks, Logic Apps, Azure Functions, or third-party integrations to receive notifications via Azure Monitor in a timely fashion.

Logic Apps and Azure Functions allow organizations to automate alert-triggered tasks, such as scaling container instances, automating restarts, alerting teams or ticketing systems, or running bespoke scripts to fix issues.

Azure alerts for containerized apps Fig. 15: Azure alerts for containerized apps

Best practices for monitoring Azure containerized applications

Monitoring containerized apps requires multiple steps. Following best practices will help ensure efficient monitoring and optimal performance when it comes to monitoring Azure containerized apps.

Collect data

First, gather measurements on container functionality, efficiency, and resource use. This will include disk I/O, network traffic, CPU utilization, memory usage, and application-specific data. Azure Monitor and Prometheus help gather and analyze these metrics.


Finding application issues requires monitoring application logs. Check your containerized apps' logs for errors and abnormal events. Loki and Azure Monitor can collect and analyze these logs for efficient and timely debugging.


Tracking containerized app behavior and performance requires baselines. You can quickly spot performance or security issues by monitoring metrics and comparing them to these baselines.

Get notified

Setting up alerts for thresholds, unexpected behavior, and log events is crucial. Establish conditions for certain log events or thresholds, along with alerts for important resources such as CPU, memory, and network consumption.


Custom dashboards aggregate containerized app metrics and logs. Implement Grafana or Azure Monitor workbooks dashboards to monitor and troubleshoot.


Autoscaling lets you modify container instances depending on the resources being utilized or how much demand your application is experiencing. Organizations can set up automated scaling based on CPU use or request rates.

Monitoring PaaS and serverless services in Azure

Azure platform-as-a-service (PaaS) and serverless services help developers build and deploy modern apps more quickly by abstracting infrastructure management so they can focus on writing code and creating value. Azure's PaaS and serverless services can build web apps, orchestrate workflows, and handle event-driven structures.

Monitoring Azure App Service

Azure App Service is a managed PaaS solution that streamlines development and deployment processes through seamless integration with Azure DevOps and CI/CD tools; it also offers a user-friendly interface and CLI tools for efficient management.

Users get support for multiple programming languages and frameworks, scalability options, and integration with various Azure services. The service also prioritizes security and compliance alongside robust monitoring and diagnostics.

Key metrics to monitor in Azure App Service

Monitoring the right metrics will provide insights into your application’s functionality, performance, and user experience to optimize performance and scalability:

  • CPU statistics reveal hidden bottlenecks and scalability issues, allowing for quick adjustments.
  • Memory consumption reveals the root causes of crashes and performance blips, paving the way for more efficient operations.
  • Faults in the 5xx range uncover program flaws and potentially problematic dependencies as well.
  • Response times can reveal application bottlenecks and other end-user problems that require remediation to enhance the user experience.
  • Requests indicate when you may need to improve capacity planning and allocate resources more effectively.
  • Active connections serve as a barometer for scalability, providing insight into the program's capacity to accommodate expansion.
  • Exceptions and application issues reveal the need for targeted code modifications and upgrades.
  • Service uptime and downtime indicate continuous availability concerns and can prompt the identification of performance issues.

Due to the integration support that Site24x7 provides with Azure App Service, organizations can now monitor their hosted applications with accurate metrics, define thresholds, and receive quick notifications whenever there is a threshold breach.

The full list of metrics collected by Site24x7's Azure App Service monitor is available here.

Azure Web Apps application map Fig. 16: Azure Web Apps application map

The application map in the image above shows the different connections to an application. For example, this application connects to Azure Storage as well as an external database from MongoDB. You can additionally view the performance of connections and drill down to identify any issues with them.

Monitoring Azure Functions

Azure Functions enable event-driven application development. They are easy to manage and develop, have built-in monitoring and diagnostics, and interact with CI/CD workflows.

Key metrics to monitor in Azure Functions

When monitoring Azure Functions, it is important to track metrics for performance and behavior analysis, such as:

  • Execution count
  • Duration
  • Invocation errors
  • Throttling
  • Memory consumption
  • Retries and failed executions
  • Invocation rate
  • Trigger-specific metrics
  • Function dependencies
  • Custom application-specific metrics

Monitoring these metrics provides insights into capacity planning, performance optimization, fault tolerance, scalability needs, and overall application health.

Metric data is collected every minute via Site24x7's Azure Functions monitoring, while function status is gathered every five minutes.

The full list of metrics that Site24x7 monitors is available here.


Monitoring databases

Azure database services offer managed data storage and management. As a fully managed relational database, Azure SQL Database comes with intelligence and high availability. Azure Cosmos DB is a globally distributed database service that enables fast, scalable applications.

Azure also manages PostgreSQL, MySQL, and MariaDB databases with automatic backups, scaling, and monitoring. Azure Synapse Analytics offers organizations both big data and data warehousing services, while Azure Cache for Redis provides high-performance in-memory caching.

These Azure data storage and analytics services provide flexibility, scalability, and management.

Key components and metrics to monitor in databases

Organizations need to track performance metrics including:

  • CPU and memory usage
  • Availability and uptime
  • Storage utilization
  • Replication and synchronization status
  • Backup and restore processes
  • Error and event logs

By proactively monitoring these areas, you can address performance issues, optimize resource utilization, maintain database security and data integrity, and ensure the smooth operation of your Azure databases.

Best practices for monitoring serverless and PaaS services

Azure serverless and PaaS services require a clear strategy and best practices to maintain systems as well as optimize Azure efficiency and effectiveness.

Set baselines and alerts

Defining baselines will allow you to understand normal activity and quickly spot anomalies, while proactive alerts will ensure timely notifications.

Monitor and trace

Azure Monitor allows for centralized monitoring and easy troubleshooting, while distributed tracing lets you uncover service performance bottlenecks and optimize your ecosystem.

Keeping an eye on autoscaling and resource use will maximize performance and efficiency. Monitoring also detects and prevents unlawful access for security purposes.

Log, troubleshoot, and test

Exploring your logs enables you to pinpoint faults and troubleshoot them effectively. Performance testing and monitoring data uncover latent possibilities and optimize services.

Monitoring hybrid cloud workloads

To extend Azure's administration and monitoring capabilities to multi-cloud and hybrid cloud systems, Microsoft Azure has developed Azure Arc. By integrating this consolidated platform with Azure Monitor, users can monitor resources, regardless of their location, across various on-premises and cloud providers.

Key advantages of using Azure Arc for monitoring hybrid workloads

Azure Arc provides organizations with centralized management under a single Azure interface, as well as automation, policy enforcement, security monitoring, and scalability for hybrid workloads.

The service enables the monitoring and gathering of metrics, logs, and telemetry data from various resources, including databases, Kubernetes clusters, and virtual machines, across multiple cloud platforms and on-premises architectures.

Azure Arc allows organizations to consistently apply governance controls and enforce standards. You can also automate capabilities such as updating servers and running business workflows through Azure Automation and Azure Logic Apps for streamlined operations.

Azure Arc integration Fig. 17: Azure Arc integration Azure Arc VM with service map Fig. 18: Azure Arc VM with service map Azure Arc metrics Fig. 19: Azure Arc metrics


Azure's cloud-scale monitoring gives organizations the tools and capabilities required to manage and monitor their cloud-based assets and applications efficiently. With tools such as Azure Monitor, Azure Application Insights, and Azure Log Analytics.

Azure provides a full array of monitoring services that allow for real-time visibility, proactive alerting, and an in-depth understanding of the performance, availability, and security of cloud installations.

Organizations can implement these services to optimize their cloud deployments to give their consumers an enhanced user experience.

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