This blog was co-authored by Aparna Vishwanathan, Senior Program Manager, Azure Stack and Tiberiu Radu, Senior Program Manager, Azure Stack.
Build on the success of others
Before we built Azure Stack, our program manager team called a lot of customers who were struggling to create a private cloud out of their virtualization infrastructure. I was surprised to learn that the few that managed to overcome the technical and political challenges of getting one set up had trouble getting their business units and developers to use it. It turns out they created what we now call a snowflake cloud, a cloud unique to just their organization. But their developers wanted what the same functionality they get in the public cloud, which is an ecosystem full of rich documentation, examples, templates, forums, demos, and more.
This is one of the main problems we were looking to solve with Azure Stack. A local cloud that has not only automated deployment and operations, but also is consistent with Azure so that developers and business units can tap into the ecosystem. In this blog post I will cover the different ways you can tap into the Azure ecosystem to get the most value out of
We continue to expand the Azure Marketplace ecosystem. For this volume, 22 new offers successfully met the onboarding criteria and went live. See details of the new offers below:
Bluefish Editor on Windows Server 2016: Apps4Rent helps you deploy Bluefish Editor on Azure. Bluefish, a free software editor with advanced tools for building dynamic websites, is targeted as a middle path between simple editors and fully integrated development environments.
BOSH Stemcell for Windows Server 2019: This offer from Pivotal Software provides Windows Server 2019-based Stemcell for the Pivotal Cloud Foundry platform.
Corda Opensource VM: R3’s Corda is an open-source blockchain platform that removes costly friction in business transactions by enabling institutions to transact directly using smart contracts and ensures privacy and security.
DataStax Distribution of Apache Cassandra: DataStax offers a simple, cost-effective way to run the Apache Cassandra database in the cloud. DDAC addresses common challenges with adoption, maintenance, and support by streamlining operations and controlling costs.
DataStax Enterprise: DataStax delivers the always-on, active-everywhere, distributed hybrid cloud NoSQL database built on Apache Cassandra. DataStax Enterprise
We continue to expand the Azure Marketplace ecosystem. From February 16 to February 28, 2019, 50 new offers successfully met the onboarding criteria and went live. See details of the new offers below:
Analytics Zoo: A unified Analytics + AI platform: Analytics Zoo provides a unified analytics and AI platform that unites Spark, TensorFlow, Keras, and BigDL programs into an integrated pipeline. The pipeline can then transparently scale out to a large Hadoop/Spark cluster.
Blender 3D On Windows Server 2016: Studios around the world use Blender as their go-to 3-D software for remodeling, rendering, animation, video editing, compositing, texturing, and more. Apps4Rent helps you deploy Blender on Microsoft Azure.
CIS CentOS 7.5 Benchmark L1: This image of CentOS 7.5 is preconfigured by CIS to the recommendations in the associated CIS Benchmark. CIS Benchmarks are vendor-agnostic, consensus-based security configuration guides.
IBM DB2 Advanced Enterprise Server Edition 11.1: Install IBM DB2 Advanced Enterprise Server Edition in just a few minutes. IBM DB2 is ideal for development, test, and production infrastructure, and MidVision’s RapidDeploy is shipped for streamlined administration.
Pay for what you use
In the virtualization days I used to pad all my requests for virtual machines (VM) to get the largest size possible. Since decisions and requests took time, I would ask for more than I required just so I wouldn’t have delays if I needed more capacity. This resulted in a lot of waste and a term I heard often–VM sprawl.
The behavior is different with Infrastructure-as-a-Service (IaaS) VMs in the cloud. A fundamental quality of a cloud is that it provides an elastic pool for your resource to use when needed. Since you only pay for what you use, you don’t need to over provision. Instead, you can optimize capacity based on demand. Let me show you some of the ways you can do this for your IaaS VMs running in Azure and Azure Stack.
It’s hard to know exactly how big your VM should be. There are so many dimensions to consider, such as CPU, memory, disks, and network. Instead of trying to predict what your VM needs for the next year or even month, why not take a guess, let it run, and then adjust the size once you have some historical