dive is a tool for exploring a docker image, layer contents, and discovering ways to shrink the size of your Docker/OCI image. To analyze a Docker image simply run dive with an image tag / id / digest. 
 
Its features include: 
<ul><li>Show Docker image contents broken down by layer</li><li>Indicate what's changed in each layer</li><li>Estimate "image efficiency"</li><li>Quick build/analysis cycles</li><li>CI Integration</li><li>Multiple Image Sources and Container Engines Supported</li></ul>

dive is a tool for exploring a docker image, layer contents, and discovering ways to shrink the size of your Docker/OCI image. To analyze a Docker image simply run dive with an image tag / id / digest. 

dive - A tool for exploring each layer in a docker image

Flannel runs a small, single binary agent called flanneld on each host, and is responsible for allocating a subnet lease to each host out of a larger, preconfigured address space. Flannel uses either the Kubernetes API or etcd directly to store the network configuration, the allocated subnets, and any auxiliary data (such as the host's public IP). Packets are forwarded using one of several backend mechanisms including VXLAN and various cloud integrations.

flannel - Network fabric for containers, designed for Kubernetes

Dragonfly is an open source intelligent P2P based image and file distribution system. Its goal is to tackle all distribution problems in cloud native scenarios. It is efficient with P2P and CDN technology which reduces image distribution time significantly and expedite delivery. it supports large-scale file distribution with improved downloading speed and success rate and lower consumption of bandwidth, especially cross-IDC bandwidth.
 
Its features include: 
<ul>
<li>Implement P2P files distribution with various storage types
(HDFS, storage services from various cloud vendors, Maven, Yum, etc.)
through a unified back-to-source adapter layer.</li>
<li>Support more distribution modes:
active pull, active push, real-time synchronization,
remote replication, automatic warm-up,
cross-cloud transmission, etc.</li>
<li>Provide separation and decoupling between systems,
scheduling and plug-in CDN. Support on-demand deployment with
flexible types: light or heavy, inside or outside,
to meet the actual needs of different scenarios.</li>
<li>Newly designed P2P protocol framework based on
GRPC with improved efficiency and stability.</li>
<li>Perform encrypted transmission, account-based transmission
authentication and rate limit, and multi-tenant isolation mechanism.</li>
<li>Bear more efficient IO methods: multithreaded IO, memory mapping, DMA, etc.</li>
<li>Advocate dynamic compression, in-memory file systems,
and more efficient scheduling algorithms to improve distribution efficiency.</li>
<li>Client allows third-party software to
natively integrate Dragonfly’s P2P capabilities through C/S mode.</li>
<li>Productivity: Support file uploading, task management of
various distribution modes, data visualization, global control, etc.</li>
<li>Consistent internal and external versions, shared core features,
and individual extensions of non-generic features.</li>
<li>Enhanced integration with ecology:
Harbor, Nydus (on-demand image download),
warehouse services for various cloud vendors, etc.</li>
</ul>

Dragonfly is an open source intelligent P2P based image and file distribution system. Its goal is to tackle all distribution problems in cloud native scenarios. It is efficient with P2P and CDN technology which reduces image distribution time significantly and expedite delivery.  it supports large-scale file distribution with improved downloading speed and success rate and lower consumption of bandwidth, especially cross-IDC bandwidth.

Dragonfly - An Open-source P2P-based Image and File Distribution System

pg_timetable is an advanced job scheduler for PostgreSQL, offering many advantages over traditional schedulers such as cron and others. It is completely database driven and provides a couple of advanced concepts.
 
<ul>
<li>Tasks can be arranged in chains</li>
<li>A chain can consist of built-int commands, SQL and executables</li>
<li>Parameters can be passed to chains</li>
<li>Missed tasks (possibly due to downtime) can be retried automatically</li>
<li>Support for configurable repetitions</li>
<li>Built-in tasks such as sending emails, etc.</li>
<li>Fully database driven configuration</li>
<li>Full support for database driven logging</li>
<li>Cron-style scheduling at the PostgreSQL server time zone</li>
<li>Optional concurrency protection</li>
<li>Task and chain can have execution timeout settings</li>
</ul>

pg_timetable is an advanced job scheduler for PostgreSQL, offering many advantages over traditional schedulers such as cron and others. It is completely database driven and provides a couple of advanced concepts.

pg_timetable - Advanced scheduling for PostgreSQL

Discover open source projects across all platforms

Projects

dive - A tool for exploring each layer in a docker image

flannel - Network fabric for containers, designed for Kubernetes

Dragonfly - An Open-source P2P-based Image and File Distribution System

pg_timetable - Advanced scheduling for PostgreSQL

Tagcloud

License

Suggested keywords:

Projects

dive - A tool for exploring each layer in a docker image

flannel - Network fabric for containers, designed for Kubernetes

Dragonfly - An Open-source P2P-based Image and File Distribution System

pg_timetable - Advanced scheduling for PostgreSQL

Tagcloud

License