The latest News and Information on Cloud monitoring, security and related technologies.
In this webinar on 16 April 2020 we covered the following topics:
No matter what’s driving your move to an AWS or Azure cloud, two things are true. One, you don’t want to under-provision, which could create performance and availability issues. And two, you don’t want to overpay, because no one ever wants to do that. One of the key decisions you must make is which Amazon EC2 or Microsoft Azure virtual machine instance configuration you need. It’s a scoping exercise, but several factors make this easier said than done.
The use of Serverless execution models is expanding extremely rapidly and cloud providers are continuing to enhance their platforms. Per Flexera’s “State of the Cloud” report: Leading this trend for the last two years, Amazon has released a few features that address AWS Lambdas’ pain points and make them a more feasible choice for large scale deployments consisting of numerous applications.
We’ve been monitoring 100,000’s of serverless backend components for 2+ years at Dashbird. In our experience, Serverless infrastructure failures boil down to: These isolated faults become causes of failure due to dependencies in our cloud architectures (ref. Difference of Fault vs. Failure). If a serverless Lambda function relies on a database that is under stress, the entire API may start returning 5XX errors.