Multi-cloud is the IT service model du jour, but it comes with a set of challenges that many IT departments aren’t yet ready to tackle. There are many reasons to go with more than one cloud provider, including the use of specific services or abilities, backing up storage across various vendors, maintaining availability or minimizing latency, and even using different cloud vendors as bargaining chips for pricing negotiation.
A managed services partner might be the best way for you to take advantage of multi-cloud IT infrastructure and services, especially if you face the all-too-common cloud skills gap that many organizations encounter.
Read on for statistics on multi-cloud adoption and cloud skills difficulties, as well as ways in which a partner can help you alleviate the top multi-cloud obstacles.
There are myriad technical considerations when deciding how to architect and deploy your cloud infrastructure, but your business structure, size, strategy, and industry are also significant factors.
You don’t need to take a deep dive into technical evaluations of each workload to choose between public cloud and a hybrid or private infrastructure. It’s possible that your business practices will make that decision for you before you ever get to individual app/system analysis.
Here are the business traits to consider as you weigh your cloud options.
We’ve gone back and forth on this for many years now. Are enterprise data centers dying? Gartner seems to think so, recently predicting that by 2025, 80% of enterprises will have shut down their traditional data centers, compared to 10% today.
That’s less than ten years out. Do you foresee your data center being put out to pasture within a decade? Or largely decommissioned and consolidated? It doesn’t seem too far-fetched considering an average hardware lifespan of three years. You could cycle through your servers three times over before then — and most of those compute workloads will likely end up in the cloud or hosted elsewhere.
Here's how that change will affect how you procure and manage IT services.
As cloud adoption rates have increased and cloud models for enterprise IT mature, multicloud deployments have become more and more popular. They happen for a variety of reasons: some cloud platforms are better suited for specific applications, others may have security or compliance measures that are necessary. They might be located in different physical sites, fostering failover and disaster recovery or serving satellite markets. For many users, avoiding being locked in with a single vendor is huge for negotiation and data sovereignty.
Going multicloud isn’t a simple task, however, especially if you want to manage everything with a simple workflow. Here are the biggest stumbling blocks companies are facing when implementing multicloud.
Green House Data announced the addition of Azure cloud to our stable of managed cloud services this week. For some, this may come as a bit of a shock. We’ve been a VMware shop since the company was formed, with the gBlock Cloud hosted within our data centers on the vSphere platform.
We’ll continue to offer our own hosted VMware cloud as well as VMware cloud management on behalf of our clients, but we’ve expanded our scope to include Azure managed services. There are a number of reasons for this shift in strategy, which ultimately allows clients a wider breadth of service options to best suit their IT infrastructure goals.
The past five or ten years have been jam-packed with cloud computing hype. Indeed, the cloud is here to stay, without a doubt. But recent reports show analysts expect hardware sales for on-premise enterprise IT to tick up significantly.
High profile examples like Dropbox show that moving back to a more traditional data center can create efficiencies and free up cash flow. Is the enterprise data center – and by extension, colocation – about to put up a fight against the cloud?
We thought everyone finally had cloud terminology all cleared up. You’ve certainly seen the countless blogs about IaaS, PaaS, and SaaS; not to mention the ever-proliferating surveys and reports on hybrid cloud being the deployment flavor du jour.
But things aren’t as clear as we might want them to be. For example, tell me what you think of when you hear the term “public cloud.”
Is it a hyperscale provider like AWS, Azure, or Google? It is, isn’t it? If not, you probably work with or for an organization similar to Green House Data, which has a public cloud offering with some major differences from the hyperscale players.
So how can we clear up the cloud? Has public become synonymous with hyperscale and self-provisioning? Has private cloud fallen by the wayside? And what should your business focus on, anyway?
Hybrid IT infrastructure seems to be the deployment mode du jour, but some theorize that hybrid is just a stopover on the way to a 100% public cloud environment. With cloud adoption as a whole moving slower than many anticipated, it may be too early to definitively say whether hybrid is here to stay, but in our opinion, hybrid will remain a valuable model for many years to come.
Surveys from McAfee and RightScale both show hybrid cloud and multicloud adoption increasing, with McAfee finding a jump from 19% of organizations using hybrid cloud in 2015 to 57% using hybrid cloud in 2016, and RightScale showing an increase from 58% to 71% over the same period.
But are these increases just because hybrid cloud is the easiest deployment model? Often times a company will add cloud resources alongside their current infrastructure, which is considered a form of hybrid cloud. Or is it because the definition of hybrid cloud itself is shifting?
Cloud servers are easy to provision and configure. Maybe too easy. That’s why many organizations are finding their cloud spend spiraling out of control. If you have recently experienced shock and awe at your monthly cloud bill, you may need to examine your environment for optimization opportunities.
Here are four of the top areas to reduce your cloud sprawl, and by extension, your cloud spend.
The term “cloud” may only have reached our collective consciousness in the past few years, but the concepts involved in cloud computing date back many decades. Starting with utility computing and moving on to virtualization and grid computing, distributing compute resources has long been a way to minimize costs involved with IT infrastructure.
Let’s see how we moved from the mainframe to Salesforce with this quick history of cloud computing.