Hi guys, today in this article we will discuss Azure Monitor. The Azure Monitor benefits you maximize the obtainability and performance of your applications and services. It gives you a complete solution for collecting, analyzing, and acting on measurement from your cloud and on-premises environments that Collects data from monitored resources using Azure Monitor Metrics.
What is an Azure monitor?
Microsoft Azure gives a robust alerting and monitoring solution of Azure Monitor. It increases the supply and performance of your applications and gives services by offering a wide-ranging solution for collecting, examining, and working on mensuration from the user’s cloud and on-premise surroundings.
The Azure Monitor is an influential reporting and analytics tool. It upsurges the availability and performance of your applications by offering a complete solution for collecting, examining, and acting on mensuration from your cloud and on-premises environments. It benefits you to understand how your applications are working and proactively finds the faults distressing them and the resources on which they depend. The use it for visions into the behavior and working of your environment and applications. By this, you can reply to them proactively to the faults in your system.
How do Azure Monitor works?
The Azure Monitor takes data from belonging resources like applications, operating systems, Azure resources, Azure subscriptions, and Azure tenants. The way the resource proves which data types are available for you. The data type will be a metric, a log, or both a metric and a log. The data can more be processed to make many types of functions such as analysis, imagination, alerting, automation and addition.
The emphasis for metric-based data types is the arithmetical and time-sensitive values that represent some aspect of the target resource.
The emphasis for log-based data types is the enquiring of content data held in structured, record-based log files that are relevant to the target resource.
The Metrics are measures of a resource’s certain characteristics over a given period. Likewise, the CPU utilization, disk IOPS, number of connections, etc. These are characteristically actual, and since they are stored as values with a standard collection interval, they are preferably appropriate for watching as graphs to help you view results over time.
The Metrics have numbered values that show some aspect of a system at a point in time. The Azure Monitor can adapt metrics near the main time. The metrics are all collected at regular intervals and are useful for alerting as of their real-time sampling. And you can use different types of algorithms to compare a metric to other metrics and observe the future over time.
The Metrics are captured in a time-series database. The following datastore is most working for analyzing the time-stamped data. The Metrics are for alerting and fast testing of faults. They will tell you about the system’s performance. By that, if it is needed, then you can fusion them with logs to find the root cause of faults.
The Logs cover time-stamped information about changes made to resources. The kind of information recorded differs by log source. The log data is prearranged into records, with different sets of properties for each kind of record. The logs can comprise mathematical values such as Azure Monitor metrics, but most include text data rather than numeric values.
The most mutual kind of log entry records an event. The events can happen intermittently rather than at fixed breaks or according to a schedule. The events are formed by applications and services, which provide the context for the events. You can collect metrics data in logs to fusion them with other monitoring data for analysis.
The data is logged from Azure Monitor in a Log Analytics desk. The Azure gives an analytic engine and a rich question language. The logs show the solution to any problems and are useful for finding the main causes. The data from logs can be collected by using their official question language, KQL. The users can then use these questions to make useful visualizations that can be pinned to dashboards.
What are the types of data that the Azure Monitor collects?
The data can be found from a range of sources through Azure Control. The users can choose for monitoring data at different levels through the application, operating system, and resources it depends on, with the platform itself. At the following levels, the Azure Monitor collects the data:-
- Application data: The data that tells to the practise application code. It is the data on the performance and functionality of the code that you have written, notwithstanding of its medium.
- Operating System data: The data concerning the operating system in which the application is working i.e., the data from the Windows or Linux computer-generated machines that host your application. It could work on Azure, another cloud, or on-premises.
- Azure resource data: The data that narrates to the operations of an Azure resource, such as a web app or a load balancer.
- Azure subscription monitoring data: The data that narrates to the subscription and it also contains data about Azure health and availability.
- Azure tenant monitoring data: The data on the Azure organization amenities, such as the Azure Active Directory.
You can extend the data that Azure Monitor collects by:-
- Enabling diagnostics: As the resources, such as Azure SQL Database, you get full information about a resource only after allowing diagnostic logging for it. Everyone can use the Azure portal, the Azure CLI, or PowerShell to enable diagnostics.
- Adding an agent: For the computer-generated machines, you can install the Log Analytics agent and configure it to send data to a Log Analytics workspace. This go-between upsurges the amount of information that is being sent to the Azure Monitor.
How does Microsoft positions Azure Monitor?
As a new learner, it is good to know that the Azure Monitor is the dominant plane for all monitoring toolsets and it is optional to get into the custom of starting with Azure Monitor, or if you want to look at metrics or Application Apparitions, etc.
In the beginning, Microsoft is planning to make Azure monitor the central starting point, for all Azure monitoring toolsets. Obviously, some other monitoring toolsets are being compounded/rolled into Azure Monitor as a whole.
The key requirements of Azure Monitor:-
The cloud systems are deeply distributed, as there are different channels producing data at any same time. But, these systems are very unstable, as, for example, if the resources are containerized, you have to think of a way to counter the dynamic difficulty of containers in order to be able to continue with data.
The key that Azure users rely on for monitoring and troubleshooting, the applications to solve these problems must give them the following simple abilities:-
Data aggregation-The users need to be able to view and join all data sources flawlessly through the Azure environment, it captures the data generated in its logs or measurements, and store this information in a central data storage.
Data ingestion– The data pipelines are responsible for processing an enormous amount of volumes of data which may experience a substantial amount of pressure in certain situations, resulting in the failure of components. The data transporters must be built to be strong enough to provide lodgings huge and changing amounts of data, as well as the storage backend services, they ship the data to.
Data storage– The data found from different Azure data sources must be stored in a combined data store capable of supplying the requisite scale to support data growth and data bursts. When diagnosing a production problem, the last thing you want to face is a failing data store because you have exceeded capacity.
Data processing– If you cannot process the data stored, it would be more problematic to understand it. It is easy to question the data and imagine it if data is correctly parsed and analyzed.
Data analysis– The end-users must be able to understand Azure monitoring data professionally. The capability to search or question the data is a fundamental prerequisite. With the visualizations and dashboards, being able to examine the data from different viewpoints is another key requirement. Preferably, in order to have hassle-free processing, the users should be able to use advanced analysis abilities, like anomaly discovery and machine learning.
Benefits of Azure Monitor:-
- Seamless Monitoring:-
The SaaS powered by the Azure Automation and by the Azure Monitoring Software requires negligible technical effort and investment to start with. The available as agent-less monitoring software, it needs a simple approval process to start Azure monitoring.
- Better Infrastructure Visibility
By automating the Azure Monitoring, IT Professionals and the Azure Administrator will have more data and understandings to work with. They obtain system-wide data into the performance, processes, and problems.
- Instant Notifications
The important thing to keep any is the IT Infrastructure up and working easily is to solve the production and performance-based problems as they strike. The Azure Monitoring Software has the ability to give immediate alerts and notifications into production and performance problems.
- Automatic Resolution
The IT environments where many types of performance and optimization processes happen regularly and the Azure administrators get dazed up in data and faults to look after. As handling each request is the last thing they want.
- Cost Efficient
With the skill to monitor and automate the Azure performance monitoring, the IT Professionals and the Azure Administrators are in more control of Azure resources. They have a deep understanding of the performance state and level of each Azure resource. The Azure Administrators can slit off time from monitoring Azure Infrastructure and protect the business from interruptions.
So far we had discussed Azure Monitor, its working, assets, and benefits. In this article, you will get to know everything about Azure Monitor. The Azure Monitor benefits you maximize the obtainability and performance of your applications and services.
Microsoft Azure DevOps | AZ-900 | Part 1 out 11- by DevOps School
Microsoft Azure DevOps | AZ-900 | Part 2 out 11- by DevOps School
Microsoft Azure DevOps | AZ-900 | Part 3 out 11- by DevOps School
Microsoft Azure DevOps | AZ-900 | Part 4 out 11- by DevOps School
Microsoft Azure DevOps | AZ-900 | Part 5 out 11- by DevOps School
Microsoft Azure DevOps | AZ-900 | Part 6 out 11- by DevOps School
Microsoft Azure DevOps | AZ-900 | Part 7 out 11- by DevOps School
Microsoft Azure DevOps | AZ-900 | Part 8 out 11- by DevOps School.
Microsoft Azure DevOps | AZ-900 | Part 9 out 11- by DevOps School
Microsoft Azure DevOps | AZ-900 | Part 10 out 11- by DevOps School
Microsoft Azure DevOps | AZ-900 | Part 11 out 11- by DevOps School
- Recent Posts
Mentor for DevOps - DevSecOps - SRE - Cloud - Container & Micorservices at Cotocus
Join my following certification courses...
- DevOps Certified Professionals (DCP)
- Site Reliability Engineering Certified Professionals (SRECP)
- Master in DevOps Engineering (MDE)
- DevSecOps Certified Professionals (DSOCP)
URL - https://www.devopsschool.com/certification/
My Linkedin - https://www.linkedin.com/in/rajeshkumarin
My Email - contact@DevOpsSchool.com
Latest posts by Rajesh Kumar (see all)
- Checklist of Disaster Recovery Plan in Kubernetes (EKS) for GitLab - February 24, 2023
- Kubernetes: Pull an Image from a Private Registry using Yaml and Helm File - February 24, 2023
- Jenkins Pipeline code for Sending an email on Build Failure - February 24, 2023