Docker in Action, Second Edition: join the container revolution!

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Even small applications have dozens of components. Large applications may have thousands, which makes them challenging to install, maintain, and remove. Docker bundles all application components into a package called a container that keeps things tidy and helps manage any dependencies on other applications or infrastructure. Used by everyone from small start-ups to eBay and Lyft, Docker has changed development for the better. If you’re looking to join the container revolution, Docker in Action, Second Edition will get you started. Take 42% off Docker in Action, Second Edition with code slnickoloff at: https://goo.gl/3xzTWa

Software

Join the Container
Revolution Today!
With Docker in Action, Second
Edition—take 42% off with code
slnickoloff at manning.com

The way forward
If you’re ready to embrace
deployment with containers, Docker
in Action, Second Edition will teach
you the skills and knowledge you
need to create, deploy, and manage
applications hosted in wonderful
Docker containers.

No prior experience required
Docker has gained widespread
adoption, and if you’ve decided
to see what it’s all about, Docker
in Action, Second Edition is the
ideal place to start.
If you’re a developer who’s
comfortable with Linux, you’re
ready to go.

The guide to Docker
Using carefully designed
examples, explanations, and
exercises you will learn how
Docker works and how to
leverage it for your projects.
Along the way you’ll learn
important security, testing, and
shared resource management
techniques.

Learn from Experts
Jeff Nickoloff runs Topple where he
builds large scale services and writes
about technology. He also has
extensive startup and consulting
experience.
Stephen Kuenzli has designed, built,
deployed, and operated highly-
available, scalable software systems
in high tech manufacturing, banking,
and ecommerce systems for nearly
20 years.

If you want to learn more,
read the first chapter of
Docker in Action, Second
Edition here.
Get Docker in Action, Second Edition
for 42% off with code slnickoloff at
manning.com

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Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.

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