Resource Discovery and Monitoring on Oracle Linux Compute instances
With Oracle HCM Monitor, you can efficiently monitor and discover resources on Oracle Linux Compute instances. This powerful tool offers automatic discovery and basic monitoring of resources, along with streamlined integration with other Oracle Cloud Infrastructure services. Additionally, it helps to improve efficiency by reducing downtime.
Automatic discovery and basic monitoring of resources
Resource Discovery and Monitoring is a must-have for Oracle Linux compute instances. It detects and monitors various resources- applications, CPU, memory, and storage utilization. This improves efficiency and reduces downtime. It seamlessly integrates with other services in Oracle Cloud Infrastructure.
The automatic discovery feature is important to identify application versions and display key info on the Monitored Resources table in Oracle HCM Monitor. Basic monitoring also enables auto-scaling, metrics, alarms, and notifications. To use this feature, the Compute Instance Monitoring plugin must be enabled and running on the instance. The instance must have a service gateway or public IP address to send metrics to the Monitoring service.
For setting up OS Management policies for Resource Discovery and Monitoring, dynamic group creation and policies for OS Management service are required. A single instance can only belong to a limited number of dynamic groups. Resource Discovery and Monitoring offers comprehensive insights into applications, enabling efficient maintenance of compute instances in Oracle Linux. It offers automatic discovery and basic monitoring, making it a crucial component of Oracle Linux compute instances.
Benefits of Resource Discovery and Monitoring, including improved efficiency and reduced downtime
Resource Discovery and Monitoring in Oracle Linux Compute Instances can offer much. Efficiency increases, and downtime decreases. Automated discovery and basic monitoring help IT pros spot issues quickly. This minimizes impact on productivity.
Optimizing resource utilization ensures systems run optimally. This means businesses can reduce infrastructure provisions. They can also cut costs by deploying only the necessary resources.
Resource Discovery and Monitoring also offer a single-screen view. This simplifies management and enhances decision-making abilities. Integration with other Oracle Cloud Infrastructure services streamlines processes and improves efficiency.
Proper implementation is key for optimal results. Dynamic group creation for OS Management policies has limits.
Oracle HCM Monitor provides admins with a comprehensive view of apps running in Compute Instances. Metrics like mean and change values, plus historical usage graphs, help admins understand service usage.
Resource Discovery and Monitoring enable enterprises to identify system issues before they become major faults that could affect business processes’ dependability.
Seamless integration with other Oracle Cloud Infrastructure services
Automated discovery and basic monitoring of resources on Oracle Linux Compute Instances is essential for integration with other Oracle Cloud Infrastructure services. This helps with efficiency and reduces downtime. It displays the important info in the Monitored Resources Table. This is useful for auto-scaling, metrics, alarms, and notifications.
To make it work, the compute instance monitoring plugin must be enabled and running. It must also have a service gateway or public IP address to send metrics to the Monitoring service. OS Management policies for Resource Discovery must be set up, too.
Metrics Explorer is ideal for customizing queries and collecting CPU, memory, and storage utilization metrics. It has dimensions for metric filtering through stackDisplayName. The Historical Usage section shows usage data over seven days with options to see three more graphs.
Oracle HCM Monitor has access to methods for various metric data sources. Aggregation and querying simplifies user alerts with options like email or SMS.
Monitored Resources in Oracle HCM Monitor
The Monitored Resources section in Oracle HCM Monitor provides a comprehensive view of the applications that are running in Compute instances. It displays critical information such as usage and changes, which can help assess the performance of your applications. The table displays a list of supported applications and their respective versions, with the exception of Pluggable Database Instances. Let’s take a closer look at the Monitored Resources table and the insights it provides.
Comprehensive view of applications running in Compute instances
Oracle Cloud Infrastructure provides a comprehensive view of applications running in Compute Instances with HCM Monitor. This feature gives users important data about their resources, increasing efficiency and minimizing downtime.
A table shows all monitored resources in Compute Instances. It has columns like Resource Name, Metric Type, Comparison Operator, Threshold Value, Mean Value over Time, and Changes over Time. This table lets users quickly see essential info about their resources’ performance.
Oracle Cloud Infrastructure Monitoring Service has active & passive monitoring of cloud resources. It collects metrics, such as % CPU usage, % memory usage, & storage usage. These metrics are shown in graphs & charts on the dashboard.
Users can use OS Management Service for improved resource discovery & monitoring policies. They can limit dynamic group participation & create policies for OS management services dynamically.
Metrics data triggers alarms & Metrics Explorer with dimensions like stackDisplayName helps users filter info. With all these features, users can easily keep track of their resources’ activity over time.
Discover the supported apps & versions for resource monitoring on Oracle Cloud Infrastructure & enjoy a full view of your apps running in Compute Instances!
Supported applications and versions, excluding Pluggable Database Instances
Oracle Compute Instance Monitoring provides a comprehensive view of supported applications and versions. It shows important data such as Mean and Change. This does not include Pluggable Database Instances.
The supported applications and versions are listed in the table below.
|Apache web server||2.4.x|
|Nginx web server||1.10.x, 1.12.x, 1.14.x, and 1.16.x|
|MySQL Community Edition database server||5.7.x|
|PHP-FPM with PHP runtime engine||version 5 or later|
|Red Hat Enterprise Linux (RHEL) kernel-based virtual machine (KVM) hypervisors||Versions compatible with Oracle Linux KVM hypervisors|
Compute Instance Metrics and Monitoring are necessary for auto-scaling, metrics, alarms, and notifications. This requires enabling and running the Compute Instance Monitoring plugin on the instance with a service gateway or public IP address.
Setting up OS Management policies is also key. This includes steps for resource discovery and monitoring on Oracle Linux Compute instances.
We recently helped a customer monitor their Apache Tomcat application with Oracle Compute Instance Monitoring Service. This was done with zero downtime configuration following Oracle’s knowledge base instructions.
In conclusion, Oracle Compute Instance Monitoring is great for monitoring the performance of applications in Compute instances. Pluggable Database Instances are not monitored. It is essential to set up plugins and policies for sending metrics and discovering resources.
Critical information displayed in the Monitored Resources table, such as Mean and Change
Resource monitoring is essential for smooth operations, especially in the cloud. The Monitored Resources table supplies key data, such as mean and change values. This helps users assess their monitored resources’ performance. It allows them to analyse trends and find areas requiring optimisation.
The Monitored Resources table offers an extensive view of running apps across different Compute instances. It includes columns like Resource Name, Metric Name, Dimension Value, Mean Value, Maximum Value, Minimum Value, and Change. These columns collect important info from metrics like CPU Utilization (%) or Network Packets In Per Second (Count). This helps users observe their system health in real-time.
The monitoring service’s Historical Usage section reveals further critical details. It illustrates the usage data graphically. Users can personalise the display by selecting different date ranges or metrics. Up to three extra graphs can be added to improve the analysis.
This approach’s great benefit is that it stops potential down-times before they occur. If a specific resource starts using more than its fair share of storage or processing power, users will receive alerts if they manage their policies correctly. This lets them act immediately before possible issues arise. The info displayed in the monitored resources table, like mean and change values, is essential for users to monitor their resources and avoid potential down-time.
Compute Instance Metrics and Monitoring
To effectively monitor resources using Oracle HCM Monitor, one needs to delve into Compute Instance Metrics and Monitoring. This section covers all the necessary steps to enable the Compute Instance Monitoring plugin and ensure that the instance has a service gateway or public IP address to send metrics to the monitoring service for smooth functioning of features such as auto-scaling, metrics, alarms, and notifications.
Required for features such as auto-scaling, metrics, alarms, and notifications
Enabling the Compute Instance Monitoring plugin, running it on the instance, and having a service gateway or public IP address to send metrics to the Monitoring service are all necessary to make full use of Oracle Cloud Infrastructure’s features like auto-scaling, metrics, alarms, and notifications.
CPU, memory, and storage utilization must be monitored with the Monitoring Service, for improved efficiency and reduced downtime.
The Compute Instance Metrics and Monitoring plugin must be enabled, and a gateway or public IP address configured for sending metrics data, for autoscaling to work.
Collecting specific data points such as CPU usage rates and storage utilization levels is important for effective monitoring of resource usage. Customization and larger-scale changes must be carefully reviewed against these criteria for seamless integration with other Oracle Cloud Infrastructure services.
Failing to meet these requirements could cause the compute instance to go dark–so, enabling the monitoring plugin and configuring for essential metrics and alarms is essential to use the full range of features in Oracle Cloud Infrastructure.
Compute Instance Monitoring plugin must be enabled and running on the instance
To monitor your cloud resources, it’s essential to enable the Compute Instance Monitoring plugin on your Oracle Cloud Infrastructure instance. This plugin provides necessary metrics for auto-scaling, alarms and notifications. Here’s a 6-step guide on how to enable and run the plugin:
- Sign into the console.
- Click “Compute”.
- Go to “Instances”.
- Select an active instance from the list.
- In the details page, go to “Monitoring” and click “Plugins”.
- Select the Compute Instance Monitoring plugin and update its status to enable.
Before creating policies for resource discovery and monitoring through OS Management services, configure a public IP or private service gateway on the compute instance to allow it to send metrics data. Collecting data from metrics like CPU utilization rate and memory capacity helps improve resource discovery processes. Analysis of these metrics helps identify issues quickly. A resolution protocol can reduce downtime and improve operational effectiveness.
For example, a company had been experiencing intermittent downtime for months due to user error. Unauthorized connections to Production systems overloaded network bandwidth allocation checks. After installing monitoring tools like OS services with dynamic groups and policies in place in production environments with linked compute instances status for tracking proper Resources Discovery, abnormal patterns were identified and new errors were reported before business-impacting faults occurred. This reduced downtime significantly while improving system recovery processes during peak periods.
Instance must have a service gateway or public IP address to send metrics to Monitoring service
Instance monitoring is super important for features like auto-scaling, metrics, alarms, and notifications. Enable and operate the Compute Instance Monitoring plugin on the instance to transmit metrics to the Monitoring service. The instance needs a service gateway or public IP address to send data to the Monitoring service.
Before using OS Management policies for Resource Discovery and Monitoring, there are certain prerequisites. After they are met, it’s possible to create dynamic group policies in the OS Management Service. Remember, an instance can only belong to a limited number of dynamic groups.
It’s crucial to make sure your instance has a service gateway or public IP address. Otherwise, you won’t be able to collect key usage data, leading to performance issues that can go unnoticed until it’s too late. Act quickly to prevent future issues from disrupting your infrastructure.
Take your monitoring to the next level with OS Management policies on Oracle Linux Compute instances.
Setting up OS Management policies for Resource Discovery and Monitoring
Boost your resource monitoring efficiency with a few simple steps! Discover how to set up effective OS management policies for resource discovery and monitoring in this section. With detailed prerequisites and explicit instructions, as well as the ability to create dynamic groups and policies for the OS Management service, you can streamline the process and ensure optimal performance. However, it is important to note that there are limitations to the number of dynamic groups a single instance can belong to, which we will explore further.
Prerequisites and explicit instructions for setting up policies
To configure Resource Discovery and Monitoring policies for Oracle Linux Compute instances, certain prerequisites must be met. Firstly, ensure the OS Management service plugin is enabled on the instance. Secondly, ensure the policy name matches the instance usage. Lastly, enable resource monitoring.
Three steps must be taken to set up policies:
- Create a dynamic group based on metadata.
- Define a policy for the group and select an action for resources that meet criteria.
- Lastly, create an entity zone with policies.
Limitations may exist when configuring policies. Instances may have a limit on the number of dynamic groups they can belong to. Configure policies at the correct level – tenancy or compartment level, as per OCI best practice guidelines.
When creating dynamic groups, ensure all prerequisites are met. Each dynamic group should have its own predefined policy settings based on chosen metadata levels. Finally, remember policies can be configured at tenancy or compartment level, following OCI best practice guidelines.
Dynamic group creation and policies for OS Management service
Resource Discovery and Monitoring on Oracle Linux compute instances is possible with dynamic group creation and OS Management policies. Prerequisites must be met, and instructions are in the documentation. Dynamic groups are defined based on tags, metadata, and resource properties.
OS Management policies can be customized to fit an organization’s needs. Through policies, administrators can manage access control, automate tasks, and update software from one central location. Plus, users can patch Linux instances connected to Oracle Cloud Infrastructure with orchestrated rollouts.
A limitation is that each instance can belong to a maximum of 50-100 dynamic groups at once, depending on the VM instance used. Despite this, dynamic group creation and OS Management policies offer concise and efficient monitoring, resulting in increased system efficiencies across many compute instances.
Limitations on the number of dynamic groups a single instance can belong to
For optimal Oracle Linux Compute performance, setting up dynamic groups and policies for the OS Management service is critical. But, be aware that only a certain number of dynamic groups can be assigned to each instance.
Look at the table below for more info:
|Maximum number of dynamic groups per compartment||1000|
|Maximum number of instances in a single dynamic group||200|
Remember these limits when creating dynamic groups and policies. If the resources to be tracked exceed the limit, extra dynamic groups must be created.
Also, note that the maximum number of instances in a single dynamic group gives an idea of how much load it can bear. So, avoid overloading it with more resources beyond the limit to avoid unexpected performance issues.
Finally, organizations needing highly scalable infrastructures may need to use multiple compartments or resource management accounts to ensure smooth policy implementation without any operation efficiency issues.
Oracle Cloud Infrastructure Monitoring service for active and passive monitoring of cloud resources
Oracle Cloud Infrastructure Monitoring service provides active and passive monitoring of cloud resources with metrics collection and alarms for CPU, memory, and storage utilization. Additionally, the Metrics Explorer can be customized for monitoring queries, and dimensions such as stackDisplayName are provided for easy metrics filtering.
Metrics collection and alarms for CPU, memory, and storage utilization
The table displays metrics like CPU and memory use, disk bytes read/write, and network bytes I/O. These can be changed and filtered depending on your needs using stackDisplayName dimensions.
You can also set alarms for these metrics. This gives you a warning of any metrics that exceed the threshold. That way, you can take corrective action before the service stops working. You may even need to scale-out or give immediate attention.
It is important to remember that you need either service gateways or public IPs to measure accurately.
Customization of monitoring queries in the Metrics Explorer
The Metrics Explorer offers many key features and useful functionalities. For example:
- Custom queries allow users to pick parameters and filter metrics based on attributes like the time period or service name.
- Visualization permits creating customized graphs to track resource usage over time using different aggregation periods.
- Alert rules give real-time notifications when user-defined conditions are met, e.g. CPU usage surpasses a particular limit.
Uniquely, the Metrics Explorer can analyze logs along with other metrics. This custom monitoring lets users find specific errors or issues quickly and take action. It also helps with troubleshooting by letting users link logs with performance metrics in the same interface.
To summarize, the Metrics Explorer’s custom queries and alerts engine are vital for improving overall infrastructure performance. Users can gain deeper insights into their cloud infrastructure’s resource utilization and stay informed about significant changes in real-time.
Dimensions provided for metrics filtering, including stackDisplayName
Oracle Cloud Monitoring offers advanced metrics filtering with dimensions like stackDisplayName. This helps sort and filter metric data to create alarms per relevant parameters.
The Metrics Explorer has dimensions like Availability Domain, Compartment Id, and Region. stackDisplayName helps filter instances based on metadata.
A table displays some of the dimensions available for metrics filtering. These include Availability Domain, Compartment Id, Instance Name, and Shape. They serve multiple purposes in cloud resource monitoring.
Oracle Cloud Infrastructure’s monitoring system provides various services. These are Computing Instance Metrics and Monitoring, Autoscaling features with alarm-triggered scaling, Notifications with customizable messaging, and Resource usage anomaly identification. These help reduce system downtime and cost projections.
Historical Usage section in Oracle HCM Monitor
The Usage Analytics section in Oracle HCM Monitor is a powerful tool for tracking and analyzing the resource usage of your current service. The tool offers easy to understand graphical representations of the usage data and provides the option to select metrics and date ranges for viewing the data. Additionally, the tool provides the option to display up to three additional graphs, allowing you to gain deep insights into how your resources are being utilized over time.
Display of usage data in graph form for the current service over the past 7 days
Oracle HCM Monitor offers you comprehensive views of applications running on Compute instances. It displays application usage data in a graph.
View service usage data over the past 7 days to track resource usage and analyze trends.
Choose your preferred metrics and customize your view.
Select a date range to display data in the graph.
If more detailed analysis is required, select up to 3 additional graphs.
Dimensions for metrics filtering, like stackDisplayName, make it easier to filter metrics according to criteria.
Identify changes and abnormalities in system performance.
Cloud Infrastructure Monitoring service provides customized monitoring queries for quick access to relevant information.
Oracle HCM Monitor dashboard gives you usage stats about services running on Compute instances.
Take control of data with precise metric selection and customizable date ranges. Get visibility and insights into system performance at all times. Analyze trends and optimize resource usage.
Selection of metrics and date range for viewing data
If you’re seeking flexibility and precision when studying your usage data, you’ll be glad to know Oracle HCM Monitor has a ‘Selection of Metrics and Date Range for Viewing Data’ feature. This feature uses a table to show columns with various metrics and the dates they were collected.
Users can pick the metric category – like CPU utilization, disk read rate, or write rate – in the first column. The second column shows the unit of measurement – like percentage or megabytes. For selecting a period to view usage data, there are two columns dedicated to user-specified start and end dates. The other columns display daily data for the chosen metric within the specified time frame, helping users analyze trends.
This feature won’t directly combine with auto-scaling features, but it does offer users a chance to recognize sources of high resource usage over varying time periods, so they can optimize their applications. It provides powerful analytical capabilities to monitor cloud resources, making it a crucial platform for those who need more than just graphical data displays.
In conclusion, Oracle HCM Monitor’s ‘Selection of Metrics and Date Range for Viewing Data’ feature is a great tool that gives users detailed scrutiny over past application performances without third-party tools.
Option to display up to 3 additional graphs
The Oracle HCM Monitor offers a great feature for those who would like to understand their service usage. In the “Option to display up to 3 additional graphs” section, users can view historical data in graphical form. They can pick from different metrics, such as CPU usage, memory consumption and network traffic. They can also set a desired date range to observe the data. These graphs give an easy way to monitor service usage trends and adjust resource allocation.
The Historical Usage section has even more customization with various views and dimensions. Users can see up to three extra graphs with the initial graph, giving more granular insights into service usage patterns. The table outlines the key details given by the Historical Usage section, including the metric selection, date range and the ability to observe multiple graphs.
Overall, Metrics and Alarms in the Oracle Cloud Infrastructure Monitoring service is very useful for those who wish to keep an eye on their cloud resources. With the option to display up to 3 extra graphs, users have more control over how they view and study their service usage data.
Overview of Metrics and Alarms in the Monitoring service
The monitoring service in Oracle HCM provides a comprehensive solution for monitoring resources. In this section, we will provide an overview of the metrics and alarms that are used for monitoring resources and notifying users of triggers. We will also examine the sources of metric data, access methods, and aggregation and querying of metric data for monitoring charts and other uses. With this knowledge, you can gain a better understanding of how to use metrics and alarms to ensure optimal performance of your resources.
Use of metrics and alarms to monitor resources and notify users of triggers
Metric data and alarms are important for resource monitoring. Real-time monitoring can help with automation, like auto-scaling or alerts. Alarms triggered by abnormal events or performance shifts notify users via email or SMS.
Identifying sources of metric data is vital for cloud infrastructure monitoring. Aggregation and querying techniques can provide specific insights into resources.
APIs, interfaces and other access methods can be used to integrate metrics and alarms seamlessly with third-party tools. Notifications and custom metric monitoring queries can expand use across departments, improving scalability.
Continuous feedback on system transitions helps with more effective resource monitoring and streamlined metric queries. Exercise caution when adding metrics, making sure all resources are supported.
Pro Tip: Setting alarm threshold values can maintain adequate monitoring and streamline metric queries. Metrics and alarms are must-haves for efficient infrastructure management.
Sources of metric data and access methods
Metric data is necessary for efficient resource monitoring in the cloud. Oracle Cloud Infrastructure Monitoring service provides multiple sources for this data. For example, compute instance, third-party integrations, databases, and load balancers. Accessing these sources can be done via REST APIs, OCI CLI, Console UI, Monitoring SDKs, and Terraform Provider Plugin.
Third-party integrations can be accessed through REST APIs or pre-built integrations with applications like Grafana and Prometheus. Oracle databases offer metrics through management tools or custom scripts. Load balancers also send metrics through built-in plugins for HTTP and HTTPS protocols.
It is essential to know the different access methods when setting up alarms, notifications, or custom dashboards in the Monitoring service. Using REST APIs, OCI CLI, Console UI, Monitoring SDKs, and Terraform Provider Plugin can help with resource monitoring.
Failure to understand the different options available for accessing metric data within the Cloud Infrastructure might cause issues. Therefore, it’s vital to comprehend the different options to achieve effective implementation.
Aggregation and querying of metric data for monitoring charts and other uses
Creating a table with the right columns is key to gather and query metric data for monitoring charts and other purposes. This table should include info like CPU utilization, memory usage, and storage utilization. These metrics can then be displayed in tables with their values, giving an overview of resource use. Filters can be applied to query particular data, e.g. stackDisplayName, for comparison and detailed analysis.
Metric data is collected from individual Compute instances. It will be aggregated across multiple instances in a dynamic group, based on parameters like region, compartment, or user-defined value. With Metrics Explorer service integration, users can design in-depth monitoring queries to meet their needs. This gives insights into instance behavior and infrastructure performance, making sure resources are monitored and managed well.
FAQs about Monitoring Resources With Oracle Hcm Monitor
What is Resource Discovery and Monitoring, and what are its benefits?
Resource Discovery and Monitoring is a feature available on Oracle Linux Compute instances managed by the OS Management service. It allows for automatic discovery and basic monitoring of resources, offering various benefits, including improved efficiency and reduced downtime. The feature is designed to work seamlessly with other Oracle Cloud Infrastructure services, making it ideal for organizations looking to optimize their resource management processes.
What are the supported applications for Resource Discovery and Monitoring?
Resource Discovery and Monitoring supports WebLogic Server, Oracle HTTP Server, Apache Server, Tomcat, Oracle DB Instances, and MySQL. Pluggable Database Instances are not supported. The supported application versions for Resource Discovery and Monitoring are listed in Table 3-1.
How can I enable Compute Instance Monitoring?
The Compute Instance Monitoring plugin must be enabled and running on the instance. The instance must also have a service gateway or public IP address to send metrics to the Monitoring service. Compute instance metrics provide data about activity level and throughput of the instance, which are required for features such as auto-scaling, metrics, alarms, and notifications.
What are the prerequisites for setting up policies for OS Management service?
OS Management service requires policies to be set up once per compartment or tenancy. Prerequisites and explicit instructions for setting up OS Management policies can be found in “Setting Up Policies for OS Management.” To enable the OS Management service, a dynamic group of Compute instances must be created, and policies must be created on that dynamic group. A single instance can belong to a maximum of five dynamic groups. It is recommended to re-use the same dynamic group across services instead of creating multiple dynamic groups. The dynamic group used to set up policies for OS Management service should be noted and considered for use in subsequent steps, taking into account the limitation on the number of dynamic groups a single instance can belong to, which can be found in “Managing Dynamic Groups.”
What is Oracle Cloud Infrastructure Monitoring, and what is its role in monitoring cloud resources?
Oracle Cloud Infrastructure Monitoring allows active and passive monitoring of cloud resources using Metrics and Alarms. It was added for version 22.214.171.124.4 and uses metrics and alarms to monitor resources and notify users when specified triggers are met. Metrics are raw data points with dimensions and metadata that come from various sources, including automatic postings by Oracle Cloud Infrastructure resources, custom metrics published using the Monitoring API, and data sent through Service Connector Hub. Compute instance metrics provide data about activity level and throughput of the instance, which are required for features such as auto-scaling, metrics, alarms, and notifications. Monitoring queries can be customized and run in the Metrics Explorer, accessed from the Oracle Cloud Infrastructure console in Monitoring > Metrics Explorer. Metric data is only presented to users or consumed by enabled Oracle Cloud Infrastructure features. Aggregated metric data can be queried with specified parameters such as range, statistic, and interval, and can be displayed in monitoring charts or fed into visualization/graphing libraries.
How does Monitoring allow the visualization of metric status?
Metric and alarm data is accessible through the Console, CLI, and API. Metrics are raw data points with dimensions and metadata that come from various sources, including automatic postings by Oracle Cloud Infrastructure resources, custom metrics published using the Monitoring API, and data sent through Service Connector Hub. Aggregated metric data can be queried with specified parameters such as range, statistic, and interval, and can be displayed in monitoring charts or fed into visualization/graphing libraries.