‍As most developers know, their code doesn’t always behave as they expect it to and they’re not quite sure why. This is most apparent when it comes to debugging their software. In order to figure out what the problem is, developer teams must go through a very long process in order to get the data they need to understand the problem. This can involve unnecessary wait times, unproductive hours, and a lot of wasted resources.

Business Intelligence (BI) tools allow businesses to gather, process and analyse large amounts of data so that they are able to make decisions and see opportunities as well as visualise and report on key metrics for Stakeholders. The range of Business Intelligence tools available to use is an ever-expanding list with newcomers to the market appearing every year.

With the massive explosion of data across the enterprise — both structured and unstructured from existing sources and new innovations such as streaming and IoT — businesses have needed to find creative ways of managing their increasingly complex data lifecycle to speed time to insight.

As a product feature for your app, embedded analytics is undoubtedly a valuable tool. But historically, many product managers and software developers have approached it as a standalone capability. This has led to dashboards and reporting modules added as an afterthought, rather than as a founding strategic component of the core application.

We’ve all heard the war stories born out of wrong data: These stories don’t just make you and your company look like fools, they also cause great economic damages. And the more your enterprise relies on data, the greater the potential for harm. Here, we take a look at what data quality is and how the entire data quality management process can be improved.

A DMZ – Demilitarized Zone – is a military term, roughly summarized, as an area between two adversaries established as a buffer in order to reduce, or eliminate, the possibility of further conflict. In networking, the term usually refers to an area that acts as a buffer between two segregated networks. Here is a simplified visualization.

Cloudera services logs offer a breadth of information to assist in cluster maintenance; from assisting in security checks, auditing tasks, and validation for performance tuning and testing tasks – to name a few. However, log records generated by these services do not hold the same value for every organisation.

The customer has never been more right. Across industries, customers have become conditioned to demand not only near-instant responses to their needs but that their needs be anticipated in advance. Financial institutions are not given a pass, despite a competitive landscape flooded with regulation and privacy considerations. The customer still has expectations for a personalized, timely, and relevant experience.

The push to embrace cloud-based technologies has undoubtedly transformed IT infrastructures at every level of government. Federal, state, and local agencies have made significant strides in modernizing how data is collected, stored, and analyzed, all in service of their mission and in fulfillment of strategic IT mandates.

We are happy to announce release 2.2 of our flagship open source API gateway! Those were some busy three months since the release of Kong Gateway 2.1! We have pushed a number of patch releases in the 2.1 series, we’ve had our first fully-digital Kong Summit, and of course, we’ve been very busy building new features that are now shipping in Kong Gateway 2.2!