The latest News and Information on Cloud monitoring, security and related technologies.
This blog post was co-authored by Igor Shvartser, Senior Technical Product Manager at Amazon Timestream, and Michael Mandrus, Senior Software Engineer at Grafana Labs. Grafana Labs Senior Software Engineers Stephanie Hingtgen and Kevin Minehart also helped with the content.
Although microservices and cloud architectures are the new norm for modern applications, cloud cost optimization could run high in observability. High costs are largely due to the number of components involved in cloud architectures. According to Cloud Data Insights in a recent report, around 71% of IT companies say that cloud observability logs are growing at an alarming rate— a driving factor for rising observability costs.
Long before a business addresses ‘who’ it will choose to deliver the benefits of colocation, it needs to understand ‘why’. This is especially important if that decision is being made in the context of a choice between edge architectures, or alternatives such as hyper-scale cloud. Typically, the main order of motivation is performance, cost and control.
This post gives an overview of how to build applications using the updated Docker + WASM technical preview, along with some observability best practices.
ELB cost optimization- CloudSpend Amazon Elastic Load Balancing (ELB) is a load balancing service that automatically and evenly distributes incoming traffic from client-side applications across multiple virtual server instances, like Amazon EC2 instances, containers, or IP addresses, in different availability zones. It smoothly handles server instance failover and unavailability, thus increasing the application’s fault tolerance.