Researchers Warn to Mitigate and Migrate Inland
While the data center industry continues to get greener, it also continues to grow. Alongside that growth comes significant CO2 emissions, which are widely acknowledged by the scientific community as a primary contributor to global climate change. As the Earth warms and sea levels rise, data centers near the coast could in fact end up underwater – and vital connectivity infrastructure is likely to be lost as well.
That’s the conclusion drawn by University of Madison-Wisconsin and University of Oregon researchers in a new study that takes a look at the effects of climate change on internet infrastructure. The study even goes so far as to suggest that mitigation and migration action should begin immediately in order to avoid catastrophic effects on the way we connect to the internet.
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.