A Docker image is a combination of instructions and for creating a docker container a instruction is used to execute code in a Docker container. Docker images work as a set of instructions to build and run a Docker container, as a template. Docker images also perform as the initial point when using Docker. A Docker image contains read-only files. when a docker image is created it can not be changed and modified, insert template that has instructions for deploying containers.
Artificial Intelligence for IT Operations (or AIOps for short) continues to be a hot topic among developers, SREs, and DevOps professionals. The case for AIOps is especially crucial given the expansive nature of today’s observability efforts across hybrid and multi-cloud environments. As with most observability platforms, it all starts with your telemetry data: metrics, logs, traces, and events.
Apache Kafka is a high-throughput, low-latency platform for handling real-time data feeds. Its storage layer is in essence a massively scalable pub/sub message queue designed as a distributed transaction log. It can be used to process streams of data in real-time, building up a commit log of changes. Kafka has strong ordering guarantees that enable it to handle all sorts of dataflow patterns including very low latency messaging and efficient multicast publish / subscribe.