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.
The IT channel is taking ever bigger bites out of the cloud computing market. Only 39% of companies report sourcing their cloud services directly from Cloud Service Providers, leaving the remaining 61% to a mix of CSPs and third parties, with 10% coming primarily from third parties alone, according to a CompTIA survey. Meanwhile, IaaS, Security as a Service (SECaaS), and SaaS all offer higher average MMR than Contact Center as a Service, Data Networks, and Voice Network services, according to Avant.
If you’re looking to shift some of your clients and sales towards the cloud, you need to adjust your operations accordingly or risk losing customers to direct sales or competitors.
Here are the biggest changes you’ll need to make to your channel sales and IT operations in order to maximize on your cloud resale strategy.
You’re ready to start deploying and migrating applications into Microsoft’s Azure cloud platform — but there are four deployment models to contend with. Which should you choose? Each has strengths and weaknesses depending on the service you are setting up. Some might require more attention than others, but offer additional control. Others integrate services like load balancing or Operating Systems as more of a Platform as a Service.
Learn the differences between Azure Service Fabric, Azure Virtual Machines, Azure Containers, and Azure App Services, and when you might want to choose one over another. Green House Data is also ready to help you decide which of your business applications belong in which bucket — and we can help you administrate them, too.
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.
Migrating to the cloud? Now is the perfect time to start or continue your digital transformation. There are several methods when it comes to cloud migration. At some point in your cloud journey you’re bound to encounter more than one of them and each of them certainly has its purpose.
But if you aren’t designing in the cloud, for the cloud (which could involve rearchitecting or procuring replacement application components), you’re missing out on many of the biggest advantages of cloud computing.
Here’s why “lift and shift” ends up stifling what could be a transformative cloud migration that sets the stage for your enterprise IT for years to come.
While microservice application architecture dates back to 2011, enterprise IT tends to move relatively slowly when it comes to the adoption of new technologies. The concept and methodology has been refined in concert with the rise of cloud computing, and now microservices are a popular way to build, deploy, and most importantly scale applications.
Microservices can improve your agility, security, and resiliency, but they require a major adjustment to your development team’s workflow and the architecture of your application itself. Read on to learn the advantages of microservices and potential caveats for their use.
Cloud IT infrastructure has plenty of overlap with traditional on-premise servers, but there are additional layers of complexity and new tools to learn as well. That’s why building a successful cloud team is so important to an effective cloud deployment.
A managed service provider can help you fill your cloud skills gaps and architect a versatile and resilient cloud platform for your applications and data. But if you want continued success in the cloud, having a cloud architect on your IT team goes a long way.
How has the role of a cloud architect evolved and what are they responsible for? Let’s take a look.
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.
When managing a virtualized environment you’ll naturally want to monitor your compute resources such as memory, CPU, storage, and bandwidth in order to keep an eye on any possible performance issues.
We’ve covered monitoring before – like how much information to collect, how granular you need to get, how to check load averages, and configuring vSphere Alarms for resource consumption. Today we’re taking a closer look at CPU performance monitoring in particular.
Often times the CPU is the first potential culprit to check when you encounter a struggling virtual machine. Learn the differences between CPU metrics, some common problems, and best practices for provisioning CPU cores in this blog.
NUMA architectures allow for greater scalability, which is of course great for building cloud data centers. But if your virtual machines aren’t configured correctly, NUMA can cause performance degradation in VMware virtualized servers.
Here’s an overview of what NUMA is, why it’s useful for cloud computing, and how to address it when configuring your VMware cloud server.