The latest News and Information on Serverless Monitoring, Management, Development and related cloud technologies.
One of the things we love about working in the cloud is the ease and scalability it brings to application development. It enables us to build out applications, APIs and any infrastructure that is needed from prototyping an idea, through to self scaling deployments. Monitoring and troubleshooting production-level serverless applications is always tricky, Especially working across a number of services and the many logs they can produce.
When building serverless applications on AWS Lambda, Amazon CloudWatch provides out-of-the-box metrics that measure the performance, errors, and duration of your functions. Although these standard Lambda metrics provide visibility into your serverless applications, it can also be invaluable to monitor custom metrics that are unique to your use case and application.
Today’s modern applications contain a broad set of microservices, with containers and serverless becoming the architectures of choice for many cloud applications. Both architectures facilitate highly scalable systems, and while which approach to take is routinely debated, containers and serverless technologies are being used in tandem more and more.