Log Analytics

Keeping our cloud applications healthy and reliable requires constant monitoring. Azure Application Insights allows us to track performance, identify errors, and gain valuable insights into the behavior of our applications.

Hello! This week, I wanted to share a new post about biceps - As you know, Infrastructure as Code (IaC) has become a critical aspect of any successful and scalable deployment.

Monitoring and analyzing performance in modern cloud-based environments is crucial to ensure reliability. Azure Application Insights is a powerful tool for monitoring your applications, helping you detect and diagnose errors. Building on our previous discussion on Azure Log Analytics workspaces, This blog post will guide you through implementing Azure Application Insights with a Terraform module.

Hi! As cloud architectures become more complex, Infrastructure as Code (IaC) has become increasingly important. By using tools like Terraform, IaC allows you to manage intricate infrastructures in a text-based, repeatable, and automated manner.

Hi there! As you know, Microsoft Sentinel is an advanced SIEM tool that provides a comprehensive view of your organization’s security landscape. One of its superpowers comes from its integration with Azure AD connector.

Microsoft last month announced the general availability of a new experience for managing Azure Log Analytics table metadata from the Azure portal. So I think it’s an excellent time to see how to view and edit table properties in Log Analytics workspaces using the Azure CLI and check how these changes are reflected in the Azure portal.

As you know, each Workspace has a default retention policy that applies to all tables. But you can set a different retention policy on individual tables if you desire. In this post, I want to show you how to configure a data retention policy for individual tables in Log Analytics using Azure CLI.

Hi, In a previous post, I showed you how to configure Azure Bastion diagnostic parameters to send logs and metrics to a storage account. But suppose you already have a log analysis workspace.

Hello, Jorge is back. In a previous post, I showed you how to configure Azure Key Vault diagnostic parameters to send logs and metrics to a storage account, but many of you have asked me to show you how to configure Azure Key Vault diagnostic parameters to send to a Log Analytics workspace.

Today we continue with the Log Analytics post series. In the previous posts of this series, I showed you how to create a workspace for log analytics and how to deploy the log analytics.

In my last post, I explained to create a Workspace of log analytics, check out this link. Today I want to show you how to deploy the Log Analytics agent virtual machine extension to an existing virtual machine using Azure PowerShell.

Recently I attended a very interesting webinar about the new features and capabilities of Azure Monitor Logs also known earlier as Log Analytics, check out this link. Today I want to show you how to create a Log Analytics workspace using Azure Powershell.