The latest News and Information on Cloud monitoring, security and related technologies.
AWS offers a Compute Optimizer tool that uses machine learning to analyze your historical utilization metrics and then recommend optimal AWS resources to help you reduce costs and improve performance. And it is free, you just need to opt in to the service in the AWS Compute Optimizer Console. Sounds great, right? Well, yes and no. It is a useful little tool, but if you do not understand its pros and cons, you will not be as optimized as you may think. Here is a breakdown.
Back in 2019, I introduced you to Skeddly Projects . Projects is a feature in Skeddly that allows you to separate actions, credentials, managed backup plans, and managed start/stop plans. Almost like a mini Skeddly account within an account. Over the last few months, Skeddly’s Projects feature has been significantly enhanced. And I’m going to tell you all about the wonderful new features within Skeddly Projects.
When you are experiencing an issue with your application or service, having deep visibility into both the infrastructure and the software powering your apps and services is critical. Most monitoring services provide insights at the Virtual Machine (VM) level, but few go further. To get a full picture of the state of your application or service, you need to know what processes are running on your infrastructure.
We are excited to announce support for Google Compute Engine (GCE) N2 general purpose virtual machine (VM) types, and additional hardware configuration options powered by N2 custom machine types. N2 VMs leverage Intel 2nd Generation Xeon Scalable processors and provide a balance of compute, memory, and storage. N2 machine types also offer more than a 20% improvement in price-performance over the first-generation N1 machines.