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It’s do or die. In today’s brutally competitive digital economy, it is imperative for organizations to transform themselves into software-driven businesses — becoming “digital innovation factories” that can quickly and efficiently create and distribute new digital services. This enables them to be resilient, nimble, and innovative, creating business value and responding to market shifts and to customer needs. What does it take to keep your digital innovation factory humming?

Java developers are unlikely to ever suffer from a lack of libraries, utilities, and programs at their disposal. There's no shortage of tools that offer niche as well as fundamental features. However, some tools undoubtedly stand out due to their popularity, usefulness, data representation, and in-tool features. These 8 tools listed below are often listed as some of the best Java development tools available on the market.

It’s never too late to learn. As any reinforcement learning agent, we get rewarded by the new knowledge that we acquire. Likewise, we learn by doing, by rolling up our sleeves and getting to work. (Do you want a hands-on book on Reinforcement Learning? Here is my personal favourite) March has shown us great examples of this. From robots learning to encourage social participation to detect serious environmental problems, it was a learning month.

Stackery can be used to create a new CloudFormation template or to quickly visualize an existing one. Code is automatically generated as you simply drag-and-drop resources on a graphical grid. The experience is much more intuitive than previous generation tools like AWS CloudFormation Designer. Stackery visualizes resources the way a human would perceive them, grouping related resources together.

YAML is a digestible data serialization language that is often utilized to create configuration files and works in concurrence with any programming language. YAML is a data serialization language designed for human interaction. It’s a strict superset of JSON, another data serialization language. But because it’s a strict superset, it can do everything that JSON can and more.

As with all start-ups, especially for a cloud provider, access to funds is imperative to build and scale quickly – after all building out new data centre regions doesn't come cheap! So in recent months we quietly opened a seed round to acquire $2.8m worth of funding – giving Civo a pre-money valuation of $16,800,000. Since launching into beta nearly 2 years ago, we’ve had tons of VC companies knocking on our door, but at this stage we decided not to take VC money.