Serverless data lake on AWS
With a data lake we can explore and discover huge amounts of data. Usually in an attempt to get valuable business insights like customer preference, market trends or patterns. Data could also be sold to other companies.
With a data lake we can explore and discover huge amounts of data. Usually in an attempt to get valuable business insights like customer preference, market trends or patterns. Data could also be sold to other companies.
Serverless computing is a revolutionizing force in the world of cloud infrastructure. Yet, as with any technological advancement, it brings its set of challenges. One such challenge that often surfaces in discussions is vendor lock-in.
Working with AWS Serverless introduces new considerations compared to traditional architectures. While network issues can still be an issue, there are unique challenges to be aware of in the cloud.
We'll explore the fundamental building blocks of a robust hosting solution for your SPA on AWS.
Concurrency in distributed systems is a common challenge. To address this, we use a technique called Optimistic Locking.
Noisy IT alarming in DevOps, especially recurrent and flickering alarms, can reduce system efficacy. Emphasizing RED Metrics (Rate, Errors, Duration) is key. Effective strategies, such as adjusting thresholds and alarm aggregation, can optimize alarming systems for better performance.