Today, we are welcoming another noteworthy advancement of the Kong Gateway – the general availability of version 2.7! Both Kong Gateway and Kong Gateway OSS version 2.7 downloads are available on your favorite distribution channels. This release of the Kong Gateway includes a number of important features that serve as a foundation for addressing three key areas.

Enterprises using Microsoft Azure can now deliver secure, automated data pipelines while boosting compliance with privacy and industry mandates using Fivetran Business Critical.

Today we’re excited to announce the public beta launch of Continual, the first operational AI platform built specifically for modern data teams and the modern data stack. We’re also announcing our $4M Series Seed, led by Amplify Partners, and joined by Illuminate Ventures, Wayfinder, DCF, and Essence, as well as new partnerships with Snowflake and dbt Labs.

A new vulnerability that impacts devices and applications that use Java has been identified in Log4j, the open-source Apache logging library. Known as Log4Shell, the flaw is the most significant security vulnerability currently on the internet, with a severity score of 10-out-of-10. Fortunately, Perforce static analysis and SAST tools — Helix QAC and Klocwork — can help.

Clear, concise, and executable requirements help development teams create a proper product. How do we organize and present these requirements? That's where a Software Requirements Specification (SRS) comes in. But what is an SRS, and when should you use one? In this blog, we'll outline a typical software requirements specification, including how to define your product's purpose, describe what you're building, detail the requirements, and, finally, deliver it for approval.

As we’re getting closer to the end of 2021, it’s time to look back at those moments in the year when we pushed the needle forward serving the mobile community, helping teams achieve mobile product success. Let's have a recap!

Data teams across companies have continuous challenges of consolidating data, processing it and making it useful. They deal with challenges such as a mixture of multiple ETL jobs, long ETL windows capacity-bound on-premise data warehouses and ever-increasing demands from users. They also need to make sure that the downstream requirements of ML, reporting and analytics are met with the data processing.

As a new calendar year approaches, public sector CIOs and IT leaders are preparing for another year of change in their technology stack and its role in accomplishing their mission. The last two years have brought immense change and shifting imperatives to the public sector. Perhaps one of the most impactful is the drastic acceleration of digitization initiatives.

As we head into the holidays, there’s no better time to talk about bringing people together. And there’s no better way to bring employees together within a company aspiring to be data-driven than with a data literacy program. What data analytics processes should your organization put into place to increase data literacy? It all starts with establishing a training program to empower your people to work with data, regardless of their level of expertise.

Amazon S3 (Simple Storage Service) has been around since 2006. Most use this scalable, cloud-based service for archiving and backing up data. Within 10 years of its birth, S3 stored over 2 trillion objects, each up to 5 terabytes in size. Enterprises value their data as something worth preserving. But much of this data lies inert, in “cold” data lakes, unavailable for analysis. Also called “dark data”, it can hold key insights for enterprises.