Category: Data Center

Setting up Management Group for production in enterprise

June 29, 2020

org1Once you have set up your first subscription, you can set up your Management Group.

In Azure, management groups are a way to group your subscriptions. When you apply policies and governance to your management group, all of the subscriptions within a management group automatically inherit the conditions applied. Enterprises want management groups as a way to scale your operations no matter how many subscriptions you may have.

For example, you may want to restrict the regions available for your resources to those within a particular region. A policy that reflects that can be applied to a management group and will automatically be applied to all management groups, all subscriptions, and all resources under that management group.

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Setting up Security Center for production in enterprise

June 18, 2020

Icon-security-241-Security-CenterSecurity Center provides out of the box policies and a dashboard to identify possible security issues with your subscription.

To start with Security Center has a good set of policies that will help you do basic audits and provide security alerts.

Use Security Center to meet your cloud requirements

In this article, you will be able to meet the following requirements:

  • Set up ways for your security team, developers, and operations to quickly audit subscriptions.
  • Mitigate security issues

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Setting up Log Analytics workspace for production in enterprise

June 15, 2020

icon_1.0.1195.1535Operations and security are central in any cloud deployment. It should be top of mind in each of your cloud deployments.

Enabling your operations team to find and fix errors, to build practices around scaling your data are essential to having a successful Azure data center.

Log Analytics provides a unified way to show what is happening across your Azure data center.

In this article learn how to set up Log Analytics to receive data from multiple Azure subscriptions, on premises virtual machines or other clouds. And learn to configure your Log Analytics workspace, set up role-based-access-control, and how to incorporate Log Analytics best practices. In addition, you will also learn how to get started with some important queries.

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Container Ecosystem on Windows, Linux – When to Choose

November 25, 2017

Everything the application depends on to run successfully can lives inside a container. Containers are an isolated, resource controlled, and portable runtime environment which runs on a host machine or virtual machine. An application or process which runs in a container is packaged with all the required dependencies and configuration files.

Containers grew up in Linux. In Windows Server 2016, containers can run on Windows and run Windows on the inside.

The idea is that you can run containers in the cloud, in the customer data center, or in container services and manage them consistently.

DockerAndAzureEcosystem_thumb

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Container Orchestration with Docker Swarm, Marathon, Kubernetes

October 31, 2017

You need orchestration when transitioning from deploying containers individually on a single host to deploying complex multi-container apps on many machines.

The following describes some of the most popular:

  • Docker Swarm
  • Mesos DC/OS
  • Kubernetes

The purpose of this post is to define the terms and to surface the main features. The goal of the post is not to compare, but to provide definitions of the container technologies.

In general, these container solutions run and support Linux containers.

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Docker Container Concepts, Architecture, Overview

October 29, 2017

Containers are key to the modern datacenter.

Docker is an open platform for developing, shipping, and running applications in containers.
This post describes the conceptual parts that you will use in setting up Docker. Here are the primary parts:

  • Docker Image is a read-only template for creating a Docker container. You can create your own Dockerfile to define the steps to create an image.
  • Docker Container is a runnable instance of an image. You can create, start, stop, move, or delete a container using the Docker API or CLI.
  • You talk to the Container through the Docker Engine that provides the Docker client which talks to the Docker daemon. The Docker daemon listens for Docker API requests and manages Docker objects such as images, containers, networks, and volumes.
  • Docker Registries stores Docker images. You pull Docker images from the registries. There are public registries and private registries. One private registry is Azure Container Registry provides a private registry for your containers.
  • Task of automating and managing a large number of containers and how they interact is known as orchestration.

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The Value Proposition of Containers

October 26, 2017

Containers are key to the modern datacenter.

There’a a lot of buzz around containers. At its core, containers provides a way for you to deploy your app with all of its depenencies. Your container run on premises the same way it will in the cloud.

For the application in its container, it has no knowledge of any other applications or processes that exist outside of its box. Everything the application depends on to run successfully also lives inside this container. Wherever the box may move, the application will always be satisfied because it is bundled up with everything it needs to run.

For developers, it means that you no longer have to say, “Well it ran on my machine.” And it means that when you have larger apps, you can deploy in smaller chunks of code, where the dependencies do not need to cascade between teams. For IT Pros, it means that you can more effectively use those virtual machines. Instead of having one virtual machine for each app, you use the same VM for multiple apps. And when the VM is being used, you can quickly scale based on user demand.

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