Are you struggling to get your SEO strategy off the ground? You might be making one of these 38 common SEO mistakes––here’s how to avoid them.

This month we have released one of our biggest UX updates since Bugfender 2, the new viewer. We are quite excited because we have been working on it over several months, we hope you like it!

Data enablement doesn’t stop by delivering data in a data lake or data warehouse. Data must reach easily its point of consumption. Whether it is accessed as a self-service by a business user or integrated into an application, making trusted data available to all when it’s needed is of utmost importance.

We’re pleased to announce that our first release in the 1.4 series is out! Our engineering team and awesome community members added numerous new features, improvements and fixes in this release. Read below on the most relevant changes in Kong Gateway 1.4 and how you can make the most of these additions. Please refer to the Changelog for complete details and the Upgrade Path for instructions on how to upgrade from previous Kong versions.

To maximize the benefits of cloud, data & machine learning and make it available to innovative digital teams and customers, the data lake is the definite reference model. How can we accelerate its implementation and scope without losing control or jeopardizing its sustainability?

The subscription model means more frequent customer touchpoints for SaaS companies. Here, 32 pros weigh in on the most important customer success metrics.

CCPA is the latest regulation which should be a concern for all companies with California residents in their databases. There are less than 90 days left to be ready to comply with CCPA, on top of the other regulations.

Not so long ago, our CFO was looking at changing our financial system and it reminded me of a similar situation that happened when I worked at National Australia Bank many years ago. We changed our entire ERP because the organization needed to slice and dice their data differently. What they could have done instead was use analytics differently to extend the life of the products they had, so that’s what we’ve done.