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Cloud keeps the trains running | A Oracle+Microsoft architecture

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Week of July 19, 2021

How TTX, a key link in North America’s railroads, hauled its back office into the cloud. A consumer and industrial packaging company meets booming demand with a Microsoft and Oracle cloud infrastructure. Get Java superpowers with these tools hidden in plain sight. Also: Four steps to make systems stronger with chaos engineering.

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“The Oracle solution proved to be the most complete, modern suite of enterprise applications on a common platform. It allows us to concentrate on our business and not on the technology that supports it. That’s what we were looking for.”

— Bruce Schinelli, CIO, TTX

All aboard!

TTX, which operates a fleet of 168,000 cargo railcars serving North America’s major railroads, replaced a patchwork of operations software—including on-premises SAP ERP—with Oracle Fusion Cloud. The upgrade lets the company concentrate on business rather than supporting technology.

Leader of the pack

Sonoco runs workloads on multiple clouds—with assistance from the Oracle-Microsoft interconnect—helping the $5 billion company stay on top of booming demand for its consumer and industrial packaging.

Hidden Java tools

These four Java tools, hidden in plain sight, are ripe to help you discover out-of-date dependencies, create a slim custom runtime, reveal the causes of network I/O slowdowns, and bundle your app and JDK into an operating-system–specific package.

Making it

Dale Dougherty, president and founder of Make: Magazine and Maker Faire, talks about how to engage people who build with their hands. Hear the conversation on the Oracle Groundbreakers podcast.

FEATURED TECH

Controlled chaos

Learn four steps to break your most critical business systems—on purpose—to make them more reliable, in part 2 of our series on chaos engineering.

ISV OF INTEREST

50% savings

Manhattan Associates runs its warehouse management and transportation management on Oracle Cloud Infrastructure, saving 50% over previous cloud solutions with 30% performance improvement.

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Create graph databases with Graph Studio

Graph machine learning with PyPGX and OML4Py

Accelerate your model build process with the Intel extension for scikit-learn

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