Cloud monitoring platforms overview - Cloud Adoption Framework (2024)

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This article is part of a series in the cloud monitoring guide.

Microsoft provides a range of cloud monitoring capabilities from multiple products:

  • Azure Monitor, designed for the cloud but can also monitor on-premises infrastructure and applications.
  • Azure Monitor SCOM Managed Instance, a PaaS offering of System Center Operations Manager hosted in Azure.
  • System Center Operations Manager, designed for on-premises and then extended to the cloud.

These offerings deliver core monitoring services, such as alerting, service uptime tracking, application and infrastructure health monitoring, diagnostics, and analytics.

The below sections give you a high-level overview of our monitoring platforms to help you understand how each delivers core monitoring functionality.

Infrastructure requirements

Operations Manager

Operations Manager requires significant infrastructure and maintenance to support a management group, a basic unit of functionality. At a minimum, a management group consists of one or more management servers, a SQL Server instance, hosting the operational and reporting data warehouse database, and agents. The complexity of a management group design depends on multiple factors, such as the scope of workloads to monitor and the number of devices or computers supporting the workloads. If you require high availability and site resiliency, as is commonly the case with enterprise monitoring platforms, the infrastructure requirements and associated maintenance can increase dramatically.

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Azure Monitor SCOM Managed Instance

Azure Monitor SCOM Managed Instance is a PaaS offering of System Center Operations Manager hosted in Azure. SCOM Managed Instance requires minimal infrastructure and maintenance as many of the infrastructure components such as the management servers and databases are hosted in Azure and managed by Microsoft; You no longer have to be responsible for patching your management server and databases with the latest upgrades and features. Also, scaling a management server can be done at the click of a button.

Cloud monitoring platforms overview - Cloud Adoption Framework (2).

Azure Monitor

Azure Monitor is a software as a service (SaaS) offering, so its supporting infrastructure runs in Azure and is managed by Microsoft. It performs monitoring, analytics, and diagnostics at scale. It's available in all national/regional clouds. Core parts of the infrastructure (collectors, metrics and logs store, and analytics) that support Azure Monitor are maintained by Microsoft.

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Data collection

Operations Manager and SCOM Managed Instance

Agents

The operations manager only collects data from agents installed on Windows computers. It can accept data from the Operations Manager SDK, but this approach is typically used for partners that extend the product with custom applications, not for collecting monitoring data. It can collect data from other sources, such as Linux computers and network devices, by using special modules that run on the Windows agent that remotely accesses these other devices.

Note

SCOM Managed Instance can collect data from agents on Windows computers only.

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The Operations Manager agent can collect data from the local computer, such as the event log, custom logs, and performance counters. It can also run scripts to collect data from the local computer or external sources. You can write custom scripts to collect data that can't be collected by other means or to collect data from various remote devices that can't otherwise be monitored.

Management packs

Operations Manager performs all monitoring with workflows (rules, monitors, and object discoveries). These workflows are packaged in a management pack and deployed to agents. Management packs are available for various products and services, which include predefined rules and monitors. You can also author your own management pack for your applications and custom scenarios.

Monitoring configuration

Management packs can contain hundreds of rules, monitors, and object discovery rules. An agent runs all these monitoring settings from all the management packs that apply, which are determined by discovery rules. Each instance of each monitoring setting runs independently and acts immediately on the data it collects. This is how Operations Manager can achieve near-real-time alerting and the current health state of monitored resources.

For example, a monitor might sample a performance counter every few minutes. If that counter exceeds a threshold, it immediately sets the health state of its target object, which immediately triggers an alert in the management group. A scheduled rule might watch for a particular event to be created and immediately fire an alert when that event is created in the local event log.

Because these monitoring settings are isolated from each other and work from the individual data sources, Operations Manager has challenges correlating data between multiple sources. It's also difficult to react to data after it's been collected. You can run workflows that access the Operations Manager database, but this scenario is rare, and it's typically used for a limited number of special-purpose workflows.

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Azure Monitor

Data sources

Azure Monitor collects data from various sources, including Azure platform logs, Azure activity logs, resource logs, the Azure Monitor Agent (AMA) on the guest operating system of Azure and hybrid virtual machines, and diagnostics data from resources in Azure. Any REST client can write log data to Azure Monitor using an API, and you can define custom metrics for your web applications. Some metric data can be routed to different locations, depending on usage. For example, you might use the data for "as-fast-as-possible" alerting or long-term trend analysis searches with other log data.

Monitoring insights

Insights, such as Application Insights, Azure Container insights and Azure VM insights, use the logs and metrics platform of Azure Monitor to provide a customized monitoring experience for an application or service in the Azure portal. They might provide health monitoring and alerting conditions and customized analysis of collected data.

Monitoring configuration

Azure Monitor separates data collection from actions taken against that data, which supports distributed microservices in a cloud environment. It consolidates data from multiple sources into a common data platform and provides analysis, visualization, and alerting capabilities based on the collected data.

Data collected by Azure Monitor is stored as either logs or metrics, and different features of Azure Monitor rely on either. Metrics contain numerical values in time series that are well suited for near-real-time alerting and quick detection of issues. Logs contain text or numerical data and can be queried using a powerful language beneficial for performing complex analysis.

Because Azure Monitor separates data collection from actions against that data, it might be unable to provide near-real-time alerting in many cases. To alert on log data, queries are run on a recurring schedule defined in the alert. This behavior allows Azure Monitor to quickly correlate data from all monitored sources, and you can interactively analyze data in various ways. This is especially helpful for root cause analysis and identifying where an issue might occur.

Health monitoring

Operations Manager and SCOM Managed Instance

Management packs in Operations Manager include a service model that describes the components of the application being monitored and their relationship. Monitors identify the current health state of each component based on data and scripts on the agent. Health states roll up so you can quickly view the summarized health state of monitored computers and applications.

Azure Monitor

Azure Monitor doesn't provide a user-definable method of implementing a service model or monitors that indicate the current health state of any service components. The following features of Azure Monitor can be helpful:

  • Application Insights: Builds a composite map of your web application and provides a health state for each application component or dependency. This includes alerts status and drill-down to more detailed diagnostics of your application.

  • Azure VM insights: Monitors performance and health of your virtual machines and virtual machine scale sets. Monitor running processes and dependencies on other resources with Azure VM Insights, and deliver predictable performance and availability trends. You can also monitor changes to resources through Application Change Analysis to understand if any change to a virtual machine affected its performance.

  • Azure Container insights: Monitors the performance and health of Azure Kubernetes Service or Azure Container Instances. It collects memory and processor metrics from controllers, nodes, and containers available in Kubernetes through the metrics API. It also collects container logs and inventory data about containers and their images. Predefined health criteria that are based on the collected performance data help you identify whether a resource bottleneck or capacity issue exists. You can also understand the overall performance or the performance from a specific Kubernetes object type (pod, node, controller, or container).

Analyze data

Operations Manager and SCOM Managed Instance

Operations Manager provides these basic ways to analyze data after it has been collected:

  • Health Explorer: Helps you discover which monitors are identifying a health state issue and review knowledge about the monitor and possible causes for actions related to it.

  • Reports: Allow you to summarize historical data that's stored in the Operations Manager data warehouse. You can customize the data that views and reports are based on. To learn more, see Using the Reporting Workspace in Operations Manager and Create reports on Power BI

  • Operations Manager command shell: Extends Windows PowerShell with another set of cmdlets and can query and visualize collected data. This includes graphs and other visualizations natively with PowerShell or the Operations Manager HTML-based web console.

Azure Monitor

With the powerful Azure Monitor analytics engine, you can interactively work with log data and combine them with other monitoring data for trending and other data analysis. Views and dashboards allow you to visualize query data in various ways from the Azure portal, and import it into Power BI. Insights such as Application Insights, Azure VM insights, and Azure Container insights include customized visualizations to support interactive monitoring scenarios.

Azure Monitor supports several ways to analyze and visualize data, including these:

  • Metrics Explorer
  • Log Analytics
  • Azure Workbooks
  • Azure dashboards
  • Grafana
  • Power BI
  • Azure Monitor partner integrations

To learn more, see Analyze and visualize monitoring data.

Alerting

Operations Manager and SCOM Managed Instance

Operations Manager creates alerts in response to predefined events, when a performance threshold is met, and when the health state of a monitored component changes. It includes the complete management of alerts, allowing you to set their resolution and assign them to various operators or system engineers. You can set notification rules that specify which alerts will send proactive notifications.

Management packs include various predefined alerting rules for different critical conditions in the application being monitored. You can tune these rules or create custom rules to the particular requirements of your environment.

Azure Monitor

With Azure Monitor, you can create alerts based on a metric crossing a threshold or based on a scheduled query result. Log query alerts in Azure Monitor let you analyze data across all data stored in multiple workspaces. These alerts also include data from a specific Application Insights application using a cross-workspace query.

Both stateless and stateful alerts are supported by Azure Monitor:

  • Stateless alerts fire every time the condition is met, even if it was fired previously.
  • Stateful alerts fire when the condition is met and then don't fire again or trigger until the conditions are resolved.

Workflows

Operations Manager and SCOM Managed Instance

Management packs in Operations Manager contain hundreds of individual workflows, and they determine what data to collect and what action to perform with that data. For example, a rule might sample a performance counter every few minutes, storing its results for analysis. A monitor might sample the same performance counter and compare its value to a threshold to determine the health state of a monitored object. Another rule might run a script to collect and analyze some data on an agent computer and then fire an alert if it returns a particular value.

Workflows in Operations Manager are independent of each other, which makes analysis across multiple monitored objects difficult. These monitoring scenarios must be based on data after it's collected, which is possible but can be difficult and rare.

Azure Monitor

Azure Monitor separates data collection from actions and analysis taken from that data. Agents and other data sources write log data to a Log Analytics workspace and write metric data to the metric database without any analysis of that data or knowledge of how it might be used. Monitor performs alerting and other actions from the stored data, allowing you to analyze data from all sources.

Extend the base platform

Operations Manager and SCOM Managed Instance

Operations Manager implements all monitoring logic in a management pack, which you create yourself or obtain from a partner or us. When you install a management pack, it automatically discovers components of the application or service on different agents and deploys appropriate rules and monitors. The management pack contains health definitions, alert rules, performance and event collection rules, and views, to provide complete monitoring that supports the infrastructure service or application.

The Operations Manager SDK enables Operations Manager to integrate with third-party monitoring platforms or IT service management (ITSM) software. The SDK is also used by some partner management packs to support monitoring network devices and deliver custom presentation experiences, such as the Squared Up HTML5 dashboard or integration with Microsoft Office Visio.

Azure Monitor

Azure Monitor collects metrics and logs from Azure resources with little to no configuration. Insights, such as Application Insights and Azure VM insights, use the Azure Monitor platform for data collecting and processing. They also provide other tools to visualize and analyze the data. You can combine data collected by insights with other data using core Azure Monitor features such as log queries and alerts.

Monitor supports several methods to collect monitoring or management data from Azure or external resources. You can then extract and forward data from the metric or log stores to your ITSM or monitoring tools. Or you can perform administrative tasks by using the Azure Monitor REST API.

Next steps

Cloud monitoring strategy

Cloud monitoring platforms overview - Cloud Adoption Framework (2024)

FAQs

What's the correct sequence of the cloud adoption framework? ›

👨‍🦱 💬 Plan, Ready and Adopt are the three main stages of Cloud Adoption process. Those stages are the key focus area of Cloud Adoption framework. Other stages are very important but they are designed to support those three areas.

What is the cloud adoption framework? ›

The AWS Cloud Adoption Framework (AWS CAF) leverages AWS experience and best practices to help you digitally transform and accelerate your business outcomes through innovative use of AWS. AWS CAF identifies specific organizational capabilities that underpin successful cloud transformations.

What is a cloud monitoring platform? ›

Cloud monitoring is a method of reviewing, observing, and managing the operational workflow in a cloud-based IT infrastructure. Manual or automated management techniques confirm the availability and performance of websites, servers, applications, and other cloud infrastructure.

What is the first step of the cloud adoption framework? ›

Strategy First stage in the cloud adoption process according to the Cloud Adoption Framework is Strategy. This stage focuses on aligning business side of adoption process, like outcomes and ROI.

What are the 4 steps of cloud formation in order? ›

  • Sunlight warms the surface and water evaporates.
  • Warm, moist layer builds up between 1000 and 5000 feet.
  • Rising air currents organize into “thermals”
  • Water vapor in rising air parcels condenses to form clouds.
Mar 17, 2021

What is the main objective of the cloud adoption framework? ›

The cloud adoption framework helps organizations identify and mitigate risks, manage costs, and ensure compliance as they move their workloads to the cloud.

What are the three main factors of the cloud computing adoption? ›

4. FINDINGS
CategoryFactorsReferences
Technology1) Technology readiness[7, 14, 15, 28, 41-47]
2) Security, privacy and ethics concern[17, 42-44, 46, 49, 52-57]
3)Ease of use[17, 43, 44, 49, 52]
4) Reliability[17, 55]
10 more rows

How to do cloud monitoring? ›

Monitor User Experience: Review metrics that enable you to get a full picture performance. These include frequency of use, time on task, user error rate, and response times. Regularly Test Monitoring Tool: Continuously test your cloud monitoring tool to ensure it is fully functional in the event of the breach.

What is cloud management and monitoring? ›

Cloud management enables cloud observability with monitoring and logging of events that occur to help you inspect and understand what's going on across your environments. Being able to aggregate, analyze, and correlate log files can help you to identify errors, automate incident management, and optimize performance.

What are the 5 steps of cloud formation? ›

  • warm air rises and cools.
  • the relative humidity of the air increases.
  • air eventually becomes saturated.
  • water vapor condenses on smoke, dust, salt, and other small particals.
  • millions of tiny water drops of liquid water collect to form a cloud.

What is cloud sequence? ›

​Thus, the types of clouds in the increasing order of their heights are Nimbus, Stratus, Cumulus and Cirrus. Additional InformationA combination of these four basic types can give rise to the following types of clouds: High clouds. Above 6000 to 8000 meters from sea level. Cirrus.

What is the order of cloud deployment? ›

There are four cloud deployment models: public, private, community, and hybrid. Each deployment model is defined according to where the infrastructure for the environment is located.

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