This Is How Amazon’s Servers Rarely Go Down: Part 3 of 3

By Josh Symonds, March 7, 2017, AppDynamics. Final Thoughts By relying on auto scaling groups, AMIs, and a sensible provisioning system, you can create a system that is completely repeatable and consistent. Any server could go down and be replaced, or 10 more servers could enter your load balancer, and the process would be seamless, … Read more

This Is How Amazon’s Servers Rarely Go Down: Part 2 of 3

By Josh Symonds, March 7, 2017, AppDynamics. Auto Scaling, Repeatability, and Consistency Amazon’s software-as-a-service (SaaS) offerings, such as RDS, are extremely convenient and very powerful. But they’re far from perfect. Generally, AWS products are much slower to provision compared to running the software directly yourself. Plus, they tend to be several software versions behind the … Read more

This Is How Amazon’s Servers Rarely Go Down: Part 1 of 3

By Josh Symonds, March 7, 2017, AppDynamics. Amazon Web Services (AWS), Amazon’s best-in-class cloud services offering, had downtime of only 2.5 hours in 2015. You may think their uptime of 99.9997 percent had something to do with an engineering team of hundreds, a budget of billions, or dozens of data centers across the globe—but you’d … Read more

Infrastructure Cost Perspectives: Cloud, Colocation, Build-To-Suit

In today’s world an Infrastructure Demand Response (iDR) approach to data center capacity management of application workloads and physical infrastructure is key to cost and risk management. “Demand Response” has been used for decades in the power industry to manage just-in-time power resources to fulfill demand. This approach in the power industry is analogous to … Read more