For instance, the SystemD service files will work any service as long as it's written to run – only the paths, names, and semantics are different – but the basic structure, how to restart services, reading logs, gracefully un-mounting filesystems, waiting for network connections to come up, among other things, are now common among all services, so no matter which service you run you know exactly where to look for its logs. SystemD takes the lessons learned from init.d and standardizes them. Each init.d file was unique and had a different way of managing the lifecycle of the service. One of the several challenges of using the older init.d service management was that you had to write the entire file from scratch. Think of it as the successor to init scripts where you had to write the whole thing from scratch, but with SystemD you just fill in a few parameters and the commands and logging are standardized. SystemD is a service manager that maintains services in Linux systems during boot up, shutdown, initialization and more. There is a need for managing MinIO servers as an init service using SystemD because it helps to automate the service lifecycle, particularly during startup, shutdown and restart. Yet, the greater numbers of Linux machines and instances require automation to reduce administrative burden. Linux’s small footprint coupled with efficient resource utilization make it a versatile and flexible choice for running MinIO.
In addition to Kubernetes, customers run MinIO on virtual instances and bare metal, frequently relying on Supermicro hardware in the datacenter and clouds like AWS, GCP and Azure. No matter where you run MinIO – bare metal, virtual instances or Kubernetes – MinIO’s performance and scalability provide an excellent foundation for such cloud-native applications as data lakes, analytics, AI/ML and more.
MinIO is capable of tremendous performance - a recent benchmark achieved 325 GiB/s (349 GB/s) on GETs and 165 GiB/s (177 GB/s) on PUTs with just 32 nodes of off-the-shelf NVMe SSDs. MinIO is one of the most widely implemented object stores because it offers high-performance, massive scalability, high-availability and adheres to the industry-standard S3 protocol.