Production ready management for File, Block and Object Storage
There are two types of formats that YAML supports for strings: block scalar and flow scalar formats. (Scalars are what YAML calls basic values like numbers or strings, as opposed to complex types like arrays or objects.) Block scalars have more control over how they are interpreted, whereas flow scalars have more limited escaping support.
Longhorn implements distributed block storage using containers and microservices. Longhorn creates a dedicated storage controller for each block device volume and synchronously replicates the volume across multiple replicas stored on multiple nodes. The storage controller and replicas are themselves orchestrated using Kubernetes.
Features
- Enterprise-grade distributed block storage with no single point of failure
- Incremental snapshot of block storage
- Backup to secondary storage (NFS or S3-compatible object storage) built on efficient change block detection
- Recurring snapshots and backups
- Automated, non-disruptive upgrades. You can upgrade the entire Longhorn software stack without disrupting running storage volumes.
- An intuitive GUI dashboard
In the past, ITOps and DevOps have found it hard to add replicated storage to Kubernetes clusters. As a result many non-cloud-hosted Kubernetes clusters don’t support persistent storage. External storage arrays are non-portable and can be extremely expensive.
Longhorn delivers simplified, easy to deploy and upgrade, 100% open source, cloud-native persistent block storage without the cost overhead of open core or proprietary alternatives.
blkreplay is a GPL’ed userspace toolkit, driving the block layer of Linux (or other Unix-like OSes) while measuring latency and throughput of IO operations for later visualization (so-called “sonar diagrams” and others).
In addition to artificial loads like random read-write sweeps and various kinds of overload tests, blkreplay can replay natural loads which have been recorded by blktrace (or Windows DiskMon) at heavily-loaded production servers at big data centers.
blockdiag and its family generate diagram images from simple text files:
Features:
Supports many types of diagrams
block diagram (w/ blockdiag)
sequence diagram (w/ seqdiag)
activity diagram (w/ actdiag)
logical network diagram (w/ nwdiag)
Generates beautiful diagram images from simple text format (similar to graphviz’s DOT format)
Layouts diagram elements automatically
Embeds to many documentations; Sphinx, Trac, Redmine and some wikisEnjoy documentation with blockdiag !