Learn the basics you need to know to get started with Azure cloud including virtual machine creation, introduction to Azure concepts, and more. This pre-recorded webcast is from Microsoft MVP and Green House Data Principal Consultant Aman Sharma.
Green House Data has passed a rigorous independent audit to certify our staff capabilities and corporate processes around Microsoft Azure technologies. Trust your hyperscale cloud project to an MSP who can pivot and scale based on your desired business outcomes, regardless of the workload, application, or offer at hand.
It might feel like DevOps is eating the world, but there’s still room for other innovations within and adjacent to IT operations. One such example is the DataOps movement. The general inspiration behind DataOps is similar to DevOps in that is strives to provide higher quality deliverables from shorter cycles by leveraging technology and specific methodologies around it.
DataOps does not boil down to DevOps principles applied to data analytics, however. While both approaches may embrace automation, continuous improvement, and strong communication between departments, DataOps is less of an infinite cycle and more of an injection of agility into a one-way data pipeline.
Let’s explore the roles, strategies, and technologies at play in a DataOps approach to analytics.
A fundamental building block for your successful adoption of cloud services is the organizational hierarchy, a mode of organizing your cloud services, resources, and virtual machines in such a way that you ensure cloud governance and can better resolve billing within your organization.
Cloud governance is the answer to common questions like:
By implementing a flexible set of controls and overall organizational hierarchy within Azure, you can enable adoption of the cloud services your business units require and avoid shadow cloud use. A well-designed enterprise cloud environment can accommodate modern agile practices alongside traditional workloads.
Here’s how to structure your organizational hierarchy within Azure so you can set governance requirements and encourage speed of delivery for your individual departments and business units.
Whether you use Microsoft Hyper-V or VMware vSphere as your hypervisor, Beekeeper patching automation can help manage the VMs before and after patching. VM validations include:
You can add these validations to your patching process so you are automatically covered when it comes to compliance and VM configuration even after applying patches. Automating these processes is Beekeeper's specialty.
