Analyze your database performance, usage, and availability at scale to enhance resource efficiency and optimize end-user experience problems. Oracle is an object-relational database management system primarily designed for enterprise grid computing. It manages information, applications and provides logical data storage using tablespaces. Monitoring its performance is essential to oversee database health and quickly identify and fix problematic servers and resource areas.
This document details the monitoring metrics to ensure continued performance and the steps to install the plugin. It is the rate at which Oracle finds the data blocks it needs in memory over the lifetime of an instance.
Excessive sort activity can degrade the overall database performance. This helps to monitor business critical metrics, generate alarms and also execute actions automatically when your database goes down. This includes the background processes as well. As every login creates a session, this metric helps to determine the maximum concurrent users in the system. The reads and writes represents the number of physical reads and writes respectively.
It is one of the varied methods to control the balance between recoverability and performance. The agent will automatically execute the plugin within five minutes and send performance data to the Site24x7 data center. Feel free to contribute to our existing plugin and come up with suggestions or feedback on our Community. Plans and Pricing Features Tools Support.
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Oracle Database Monitoring Analyze your database performance, usage, and availability at scale to enhance resource efficiency and optimize end-user experience problems. Know the memory and disk space metrics to make sure your Oracle DB processes have enough resources available. Monitor response time and find out if there's any service suffering from bad database response times.
Know if the tablespaces are full and whether they require appropriate action to increase their capacity. Track the number of Oracle sessions to know how busy a server is and ensure their continued functioning. Performance Monitoring Metrics To monitor your entire Oracle database oracle.
Install the following packages: apt-get install python-dev build-essential libaio1 Download instant client for Linux x from the Oracle website instantclient-basic-linux. Note: Ensure you log out of your server and relogin for the changes to be reflected. Plugin Installation Download and install the latest version of the Site24x7 Linux agent in the server where you plan to run the plugin.
If it is installed successfully, you will see a Linux server monitor in the Site24x7 Control Panel.Monitoring the health of a database and ensuring that it performs optimally is an important task for a database administrator. This chapter discusses the features and functionality included in Oracle Database that make it easy to proactively monitor database health, identify performance problems, and implement any corrective actions.
The Oracle Database makes it easy to proactively monitor the health and performance of your database. It monitors the vital signs or metrics related to database health, analyzes the workload running against the database, and automatically identifies any issues that need your attention as an administrator.
The identified issues are either presented as alerts and performance findings in Enterprise Manager or, if you prefer, can be sent to you through e-mail. A lerts help you monitor your database. Most alerts notify you of when particular metric thresholds are crossed.
For each alert, you can set critical and warning threshold values. These threshold values are meant to be boundary values that when crossed indicate that the system is in an undesirable state.
For example, when a tablespace becomes 97 percent full this can be considered undesirable, and Oracle will generate a critical alert. These types of alerts indicate that the event has occurred. In addition to notification, you can set alerts to perform some action such as running a script.
For instance, scripts that shrink tablespace objects can be useful for a Tablespace Usage warning alert. ADDM makes it possible for the Oracle Database to diagnose its own performance and determine how any identified problems can be resolved. To facilitate automatic performance diagnosis using ADDM, Oracle Database periodically collects snapshots of the database state and workload.
The default collection interval is one hour. Snapshots provide a statistical summary of the state of the system at any point in time. The snapshots are stored in this repository for a set time a week by default before they are purged to make room for new snapshots. ADDM analyses data captured in AWR to determine the major problems in the system and in many cases recommends solutions and quantifies expected benefits.
Resource bottlenecks, such as when your database is using large amounts of CPU time or memory, for example as a result of high load SQL statements. Poor connection management, such as when your application is making too many logons to the database. Lock contention in a multiuser environment, when a lock to update data causes other sessions to wait, slowing down the database.
Oracle database monitoring
The Enterprise Manager home page enables you to monitor the health of your database. It provides a central place for general database state information and is updated periodically.
This page reports information that is helpful for monitoring database state and workload. The General section provides a quick view of the database, such as whether the database is Up or Down, the time the database was last started, instance name, and host name.
This chart breaks down CPU percentage into time used by the database and time used by other processes. If your database is taking up most of the CPU time, you can explore the cause further by looking at the Active Sessions summary. You can drill down for more information by clicking a link, such as CPU.
If other processes are taking up most of your CPU time, this indicates that some other application running on the database machine may be causing the performance problems. To investigate this further, click the Host link under the General section. This link takes you to the machine overview page where you can see some general information about the machine, such as what operating system it is running, how long the machine has been up, and any potential problems. Additional Monitoring Links enable you to drill down to Top Activity and other data.
The type of actions you can take to improve host performance depends on your system, but can include eliminating unnecessary processes, adding memory, or adding CPUs. This section also summarizes any critical or warning alerts listed in the Alerts section. The Alerts table provides information about any alerts that have been issued along with the severity rating of each. An alert is a notification that a metric threshold has been crossed.
For example, an alert can be triggered when a tablespace is running out of space. When an alert is triggered, the name of the metric causing it is displayed in the Name column.By Omed Habib Oct 26, 9 min read.
Before you jump into creating KPIs for your Oracle database, clearly state and test your assumptions right up front. That has to come first. Be prepared to fail as often as necessary to discover which assumptions have to go. It will also help to have a more general grounding in how Oracle came about and where Oracle excels now. They wrote Oracle Version 1 in assembly language, but that version was never released.
The founders changed the name to Relational Software Inc. The latest release, as of the date of this article, is the Oracle Database 12c, which came out in The 12c was specially designed to be more cloud-friendly. It introduced a multitenant architecture so that a company with many databases dispersed geographically could bring them together rapidly and manage them in the cloud from a central location.
Many sys admins have been pushing for in-memory data processing as a part of their analytics requirements and 12c finally gave them that capability also.
There are five levels of complexity that businesses can choose from: Express, Standard One, Standard, Enterprise, and Personal. Standard is for larger organizations that require application clustering and have particular types of hardware.
Enterprise is for high-volume online transactions, data warehouses with intense query requirements and Internet-based applications with the most strict uptime parameters. Personal is the same as Enterprise except that it is for single-user development with no clustering. Because it is for database developers, features like tuning and diagnostics are not available.
Other than the Express, which is a separate item, all of these editions are in the same download, so you can choose one at the time of deployment rather than purchase.
Databases are the backbone of most mission-critical applications today. Hundreds of thousands of businesses are using Oracle for on-premise data centers as well as cloud-based and hybrid architectures.
Databases run everything from back office applications to reporting on daily business intelligence statistics to strategic analysis and forecasting for the C-suite. Oracle has been optimized for dealing with massive data sets common to business challenges involving big data. Solutions that depend on Oracle are frequently targeted at enterprise architects searching for an IT infrastructure robust enough to handle changing business needs.
Also, Oracle is often chosen by developers who need a reliable database solution for their applications. Database administrators and sysadmins often turn to Oracle when they are looking for quick provisioning and high performance.
IT execs regularly cite Oracle as a flexible and well-supported database option that has a widely established reputation across industries. You do not want to find out that you need massive configuration changes or many extra servers with additional CPUS after your database crashes right in the middle of the business week.
Proactively keep an eye on KPIs of overall database health, potential bottlenecks and indications that the system is not working up to its potential. Any active monitoring operation requires you to stay on your toes and strive to measure things you have not thought of before. Here are 10 well-known metrics that you will need to use at some point.
Under-allocated RAM regions — Most of the time you can rely on the automatic memory management processes recommended by Oracle. Sometimes, you can observe significant speed improvements by increasing RAM instead of using the much slower disk access.
Use Memory Advisor whenever possible in making manual adjustments. In Memory Sort Ratio — When your database is slow, this can be an important piece of the puzzle because disk sorts must be handled in the tablespace, which is vastly slower than sorting in RAM.An autonomous database with a built-in data collection infrastructure, Oracle Database utilizes a licensed feature called the Automatic Workload Repository AWR.
Given the widespread use of Oracle databases and their importance in supporting business operations, it's essential to use a dedicated Oracle database performance monitoring tool to monitor the performance of these databases to reduce business downtimes.
Organizations should employ an Oracle Database monitoring tool that enables them to:. ManageEngine Applications Manager's Oracle database monitor offers multidimensional, out-of-the-box Oracle monitoring, prompt alerting, and insightful reports. Because of its numerous features, Database Performance Analyzer for oracle by Applications Manager is a powerful Oracle database monitoring tool used by thousands of IT admins.
Given its complexity, Oracle database monitoring is often both challenging and time-consuming, and important parameters can easily slip through the cracks. Applications Manager's Oracle database performance monitoring tool tracks the usage and growth of your Oracle tablespace and helps you ensure proper provisioning of tables.
Learn more about monitoring tablespaces. By monitoring Oracle sessions, you gain valuable information about the server load, and using an Oracle DB monitoring tool like Applications Manager's Oracle database monitor makes it easy to optimize your database. You'll receive details regarding sessions, session users, session summary, and session wait.
Learn more about monitoring Oracle sessions. When it comes to optimization of resource usage and query latency, efficient storage of data in memory goes a long way. An Oracle database performance monitoring tool like Applications Manager's Oracle application monitoring system should help manage Oracle's memory structures and processes by providing PGA and SGA stats.
Learn more about monitoring Oracle memory structures. Oracle ASM manages the underlying disk storage; it acts as an interface between the Oracle instance and storage devices that contain the actual data. It simplifies the administration of Oracle related files by evenly distributing individual disks and files into disk groups.
Learn more about monitoring ASM disks. Schedule a personalized demo! Oracle Scheduler allows you to design schedules and run programs on designated schedules. While most Oracle monitoring tools offer surface-level metrics about database health and availability, Applications Manager's Oracle monitoring software monitors the performance and status of numerous other metrics, such as Oracle jobs and backup jobs.
Information about the status of jobs, last run status, last run duration, run count, and failure count can reveal a lot about your Oracle databse's efficiency. Learn more about monitoring Oracle jobs. In order to effectively set up a stable data protection system, it's important to understand your recovery point objective RPO and recovery time objective RTO needs.
Applications Manager's Oracle database monitoring software allows you to monitor important data guard metrics, especially the log details alert and redo logs.Monitoring the performance of a database and ensuring that it performs optimally is an important task for a database administrator.
This chapter discusses the features and functions included in Oracle Database that make it easy to monitor database health, identify performance problems, and implement any corrective actions. Oracle Database makes it easy to monitor the health and performance of your database. It monitors the vital signs or metrics related to database health and performance, analyzes the workload running against the database, and automatically identifies any issues that need your attention as an administrator.
The identified issues are presented as alerts and performance findings on the Database Home page. A lerts help you monitor your database. Most alerts notify you of when particular metric thresholds are exceeded. For each alert, you can set critical and warning threshold values.
These threshold values are meant to be boundary values that when exceeded, indicate that the system is in an undesirable state. For example, when a tablespace becomes 97 percent full, this can be considered undesirable, and Oracle Database generates a critical alert. These types of alerts indicate that the event has occurred. In addition to notification, you can set alerts to perform some action such as running a script.
For instance, scripts that shrink tablespace objects can be useful for a Tablespace Usage warning alert. ADDM makes it possible for Oracle Database to diagnose its own performance and determine how any identified problems can be resolved. To facilitate automatic performance diagnosis using ADDM, Oracle Database periodically collects snapshots of the database state and workload.
Snapshots are sets of historical data for specific time periods that are used for performance comparisons by ADDM. The default collection interval for a snapshot is one hour. Snapshots provide a statistical summary of the state of the system at a point in time. The snapshots are stored in this repository for a set time 8 days by default before they are purged to make room for new snapshots. ADDM analyzes data captured in AWR to determine the major problems in the system, and usually recommends solutions and quantifies expected benefits.
ADDM analysis results are represented as a set of findings. Resource contention bottleneckssuch as when your database is using large amounts of CPU time or memory due to high load SQL statements. Poor connection management, such as when your application is making too many logins to the database. Lock contention in a multiuser environment, such as when one user process acquires a lock to safely update data in a table, causing other user processes that must acquire locks against the same table to wait, resulting in a slower database performance.
The Database Home page enables you to monitor the state and workload of your database. It provides a central place for general database state information and is updated periodically. Optional Click the Refresh button to update the information displayed. By default, the Database Home page automatically refreshes every 60 seconds.
You can prevent automatic refresh by selecting Manually in the View Data list at the top right-hand corner of the page. You must then click Refresh to view the latest information.For more information, see Monitoring Overview and Notifications Overview. The Database service metrics help you measure useful quantitative data about your Autonomous Database s, such as CPU and storage utilization, the number of successful and failed database logon and connection attempts, database operations, SQL queries, and transactions, and so on.
You can use metrics data to diagnose and troubleshoot problems with Autonomous Database s. To view a default set of metrics charts in the Consolenavigate to the Autonomous Database that you're interested in, and then click Metrics. You also can use the Monitoring service to create custom queries. The policy must give you access to the monitoring services as well as the resources being monitored. The metrics listed in the following table are automatically available for any Autonomous Database that you create.
You do not need to enable monitoring on the resource to get these metrics. All metrics can be filtered by the dimensions discussed in this section. Note that some metrics are only available for Autonomous Database s using either shared Exadata infrastructure or dedicated Exadata infrastructure.
Oracle Database Monitoring
This is indicated in the Applicable Exadata Infrastructure Type column. Open the navigation menu. The Metrics page displays a default set of charts for the current Autonomous Database. For more information about monitoring metrics and using alarms, see Monitoring Overview. For information about notifications for alarms, see Notifications Overview. The Service Metrics page dynamically updates the page to show charts for each metric that is emitted by the selected metric namespace.
For Dimensionsspecify an Exadata infrastructure deployment type shared or dedicated. Important: If you do not specify a deployment type, no service metrics will display on the page. Optionally, you can specify other dimensions to filter your displayed metrics. See To filter results and To select different resources in the Monitoring documentation for more information.
Tip If there are multiple Autonomous Database s in the compartment, the charts default to show a separate line for each master encryption key. You can instead show a single line aggregated across all Autonomous Database s in the compartment by selecting the Aggregate Metric Streams check box. All Pages. Resources: Autonomous Databases.
Overview of the Autonomous Database Metrics The Database service metrics help you measure useful quantitative data about your Autonomous Database s, such as CPU and storage utilization, the number of successful and failed database logon and connection attempts, database operations, SQL queries, and transactions, and so on.
When using the Console to view default metric charts for multiple Autonomous Database syou must specify this dimension. To view default metric charts for a single Autonomous Database Open the navigation menu. Choose the Compartment that contains the Autonomous Database you want to view, and then click display name of the database to view its details.
Under Resourcesclick Metrics. To view default metric charts for multiple Autonomous Databases Open the navigation menu. For Compartmentselect the compartment that contains the Autonomous Database s that you're interested in. The number of successful logons during the selected interval. Average rate of accumulation of CPU time by foreground sessions in the database over the time interval.
The CPU usage expressed as a percentage, aggregated across all consumer groups. The utilization percentage is reported with respect to the number of CPUs the database is allowed to use, which is two times the number of OCPUs. Also known as Average Active Sessions. The number of user and recursive calls that executed SQL statements during the selected interval.Try for free Contact us. No configuration overhead—Dynatrace automatically detects and monitors your Oracle databases.
When it comes to analyzing the behavior of Oracle databases, baselining is the approach of choice. By comparing current performance to historical metrics, Dynatrace recognizes when performance is under par. This approach provides you with continuous insights and detailed root-cause analysis when problems occur.
Dynatrace categorizes all activities running on your Oracle instances, providing you with full insight into how your databases are really used. Dynatrace database-service views provide all the metrics you need to set up high-performance database services. It helps us to get to the root cause of an issue much faster than before.
Because identifying individual non-performing database statements can be time-consuming, Dynatrace automatically identifies expensive database statements e.
This approach is ideal for all Oracle Database solutions. A complete list of database statements that includes key metrics like response times and numbers of rows is the most valuable information any DevOps team could ask for when optimizing Oracle Database performance. Take a deep-dive into your database performance.
More customers. Oracle Database is an object-relational database management system produced and marketed by Oracle Corporation. The database is marketed in several editions and supports various operating systems, including Microsoft Windows and Linux. Dynatrace monitors and analyzes the activity of your Oracle Database services across all platforms, providing visibility down to individual database statements. Overview Supported technologies. Application performance management.
Infrastructure monitoring. Digital experience management. Digital business analytics. Digital Transformation Hub. Customer stories. Our reinvention. Adopt Dynatrace. Accelerate Software Delivery. Automate Cloud Operations.