The latest News and Information on Cloud monitoring, security and related technologies.
One of the common challenges when doing performance testing is the difficulty of correlating the metrics of your application with your testing results. Having available QA, infrastructure, and application metrics together allows engineering teams to better understand the behavior of their systems during the testing, helping to detect and prevent potential issues in their applications.
Let’s remember the time in the 2000s when companies introduced their cloud computing offerings at a large scale. New services were put into the popular IaaS, PaaS, and SaaS categories. New kinds of storage and messaging technologies were promoted. Also, novel approaches were discussed, such as designing applications for horizontal scalability and eventual consistency.
AWS Lambda is a serverless compute service that allows you to run code without having to manage servers. Lambda provides autoscaling and bills only on compute time, so you aren’t paying for unused resources. Some common use cases are file processing, stream processing, and acting as a backend for web and mobile applications. AWS Lambda functions can be invoked with external HTTP requests as well as by events triggered by over 200 different AWS services.
Over the last few years, multicloud frameworks have drifted into the mainstream. Organizations now create, store and manage enormous volumes of data across different cloud platforms. Despite the magnitude of this trend, there’s a stark and often disturbing truth: Businesses often have little or no visibility into much of the data that resides in these clouds. The culprit? Dark data.