![]() ![]() NET Core (C#) Log Analytics Data Collector wrapper to demonstrate how the code works: With that out of the way, I have previously blogged about building a. Make a note of these values, as we'll need them from the sample code below. ![]() Go to your Azure Log Analytics Workspace - " Advanced Settings" - " Connected Sources" - " Windows Servers" (or what is applicable to you), and grab the following details: Azure Log Analytics Connection Details We can do this easily from the Azure Portal like this. In order to kick this off, we need to grab the connection details to our Log Analytics. □ Custom Log Analytics Data collectors with C#. With a pre-built connector, you usually get what you get - but when you build your own applications that are designed around your own requirements, you can make deliberate choices that has an impact on data ingestion and retention. When we now design our own entities to send over to the logs, you should really consider what goes into each entity, and perhaps think twice about what information you really need to ship to the logs. I'm mentioning this mostly from a solution architecture point of view. Over time, it can accumulate quite a bit, but then it's usually worth it from the business perspective. That said, the price per GB is cheap and you need to send quite the amount of data to hit huge bills. Data Retention (Amount of GB you store over a period of time, after 31 days - the first 30 days are free).Data Ingestion (Amount of GB sent to Log Analytics).Remember that the pricing of Azure Monitor is based on this: See the links below for additional insights into the costs. Pay-as-you-Go - Pay for the data ingested and data retention, which is based on Azure Log Analytics.Capacity Reservation - Fixed fee and predictable cost.The pricing details of Azure Sentinel was made available with the launch of General Availability (GA), on September 24th 2019. Cost and billing awareness Sentinel pricing Tag along to learn how to build a truly scalable and smart detection system for your custom applications. With the stage set, we just need to prepare before we start the journey. The purpose of this article is to showcase the scenario and capabilities of building your own applications, send logs to Azure Log Analytics and ingest them in Azure Sentinel for security review and auditing, and to be able to effortlessly create rules and alerts around critical events which creates incidents in the system automatically. This is absolutely no problem, and with Azure Sentinel we can ingest logs from other places, or use the underlying Azure Log Analytics engine to pull out logs automatically. Usually there's a wide range of locations where these things are being logged, instead of a single central place. Azure services and solutions, third party software and services and a plethora of custom applications your business is building and maintaining - there's applications, micro services, monoliths, web apps, backend services, functions, containers, you name it - I think you get the point. Azure Sentinel displaying custom events ingested from Azure Log Analytics The Story In this post, I'm talking about how we can build our own Azure Log Analytics Data Collector API application to send custom logs to your Log Analytics workspace - and since I'm sending it to the same LAW (Log Analytics Workspace) as my Azure Sentinel service is using, I will be able to set up a new dashboard there to monitor this data as well. In a previous post I talked about how to ingest Office 365 logs into your Azure Sentinel dashboards. Using Connectors, you can even ingest data from other places than Azure, and you can get a more complete picture of your security posture across services in your technological landscape. □ TIP: Check out the guidance for building sustainable Azure workloads! □Ī powerful capability of the Azure Sentinel service is that you can ingest data from a wide variety of sources. ![]()
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