Context switching is working on several tasks simultaneously. More specifically, it's working on one task and switching to another task with an unfinished previous task.
This blog post explores why a single real-time pipeline, called Kappa architecture, is the better fit and the role of batch processing in it without requiring Lambda.
If you are currently developing or looking to start developing apps on the AWS serverless stack, then keep on reading for useful and interesting insights.
Learn about container lifecycle events and hooks with a deployment example comprising a main Kubernetes container running NGINX and a sidecar container running busybox.
AWS Control Tower is fairly easy to use. The service supports the full automation of setup processes for multi-account environments as well as governance policies.
In this post, you will learn to use Spring Cloud Sleuth for distributed tracing between Spring Boot microservices and Kafka with results displayed on the Zipkin server.
Data fabric is a viable strategy to help overcome the barriers that previously made it hard to access data and process it in a distributed data environment.
Some scenarios in microservice-based architecture involve multiple microservices. Read how completion of the scenario depends on the task completion of each microservice.
After researching the databases and storage systems on the market, we found a more efficient and accurate real-time data warehouse solution: Pravega + TiDB.