Is it essential for a cloud planning tool to provide deep discovery? In our experience in the last 12 months modeling over 750K machines for the cloud we’ve seen two diametrically opposing requirements for deep discovery. Read more about these opposing requirements below. If you manage IT environments we would love to hear your thoughts in the comments section.
While some of our technology partners such as AWS have insisted on deep discovery features from their planning partners (AWS recently acquired TSO Logic – a vendor with strong discovery capabilities – on the heels of their acquisition of CloudEndure), our channel partners tell us that customers are wary of adding yet another monitoring tool in their environment. Instead, they provide us with data from existing monitoring tools such as RV tools or vCenter – data that we upload into our Akasia Infrastructure Modeler to process for pre-migration cloud planning.
Enterprises typically have a plethora of monitoring tools in embedded in their data centers. Their systems management software, asset management software, performance management tools and optimization tools – all poke and prod at their infrastructure and applications to track and document the assets as well as their utilization. When a new monitoring software is introduced in the environment it has to pass through a rigorous approval process before it can be deployed.
Under these circumstances, it is no surprise to us why our customers and channel partners are vehemently opposed to installing one more discovery tool in order to perform pre-migration cloud planning.
Why then, is AWS prioritizing deep discovery so high? The answer became clearer when we analysed our sales data for 2018 – in comparing our modeling numbers for AWS, Azure, GCP, IBM Cloud, VMC and Oracle Cloud we found that Azure was the leader, followed by AWS and then IBM Cloud!
By our analysis as well as multiple industry reports Azure adoption is gathering significant momentum, particularly in the enterprise. This is because Microsoft is deeply entrenched within data centers with their ubiquitous Windows platform, and the relationship of trust that Microsoft enjoys with their customers – two strengths that AWS lacks and which have slowed their gains in the enterprise.
AWS hopes to increase enterprise migrations into their platform by gaining visibility into on-premise data centers through their TSO Logic acquisition. However, will enterprises allow AWS to conduct deep discovery in their environments? If you run or manage data centers do comment and tell us what you think!