Introduction to Podcasting The speaker introduces the podcast and encourages listeners to join regularly for updates, articles, and podcasts. He emphasizes the importance of fact-checking his information independently.
Evolution of Serverless Computing Serverless computing is an old idea that was first implemented by Amazon in 2004. It allows running functions without a server, with notable implementations by Amazon and Google's Cloud Functions.
Function as a Service (FaaS) FaaS enables implementing services as individual functions without servers. This approach has been widely adopted by major cloud providers like AWS Lambda and Google Cloud Platform.
'Microservices' Architecture Trend 'Microservices' architecture trend involves developing applications using small independent services that can be written in any language or technology stack.
DevOps Automation Automation tools are used for continuous integration/deployment processes, testing environments setup, monitoring systems management tasks such as cleaning up unused resources.
Distributed Data Processing 'Big data' processing requires distributed handling across multiple locations due to varying user demands from different regions; this includes automatic scaling based on traffic load.
Microservices and Function as a Service Hot functions are rarely used, but they're a good way to start moving towards microservices. Microservice writing is misunderstood by many, leading to unexpected outcomes.
Docker and Cloud Deployment Functions are seldomly launched in Docker containers and deployed in the cloud. However, this incurs costs regardless of where it's hosted.
Complexity Challenges Managing numerous services like Docker, Kubernetes, etc., can be overwhelming for large companies with thousands of services. Monitoring becomes crucial as complexity grows.
Scalability Issues 'Magic blackouts' occur when dealing with high loads or scaling up from small applications to larger ones due to increased error probability.
Monolithic Applications vs Microservices Transitioning from monolithic apps requires careful monitoring and understanding that more active parts increase the likelihood of errors.