In many industries (finance and healthcare, to name a couple), regulations require the use of multi-factor authentication (MFA) to protect access to sensitive data and transactions. Also, an important executive order was issued, aimed at improving the cybersecurity posture within the US government by requiring all federal agencies to adopt MFA systems. Regulations and standards like these will continue to spread over more industries and transaction types.

Data provenance is a method of creating a documented trail that accounts for data’s origin, creation, movement, and dissemination. It involves storing the ownership and process history of data objects to answer questions like, “When was data created?”, “Who created the data?” and “Why was it created? Data Provenance is vital in establishing data lineage, which is essential for validating, debugging, auditing, and evaluating data quality and determining data reliability.

Metadata refers to the information about data that gives it more context and relevance. It records essential aspects of the data (e.g., date, size, ownership, data type, or other data sources) to help users discover, identify, understand, organize, retrieve, and use it—transforming information into business-critical assets. Think of it as labels on a box that describe what’s inside. Metadata makes it easier to find and utilize the data that you need. Typical metadata elements include.

Discover Rippling's CI/CD journey with Bitrise, as shared by Staff Software Engineer Siddhant Soni. This post dives into the technical challenges and solutions that have shaped their scalable mobile infrastructure.

DevOps significantly changed the software industry. From a siloed process where the focus was entirely placed on development, leaving little to no time to properly test it, to a combination of the two, simultaneously developing testing to shorten the cycle. CI/CD is the key to that innovation, and Jenkins is one of the most popular CI tools on the market. We’ll learn how to do Continuous Integration with Jenkins in this step-by-step guide.

Software developers have plenty to keep them awake at night. Their top concern is no longer how to express the latest algorithm in their favorite language (C, C++, Erlang, Java, etc.). Instead, it’s being replaced by artificial intelligence (AI). Here we take a look at the process for AI writing code and answer the question: Will AI replace programmers? Read along or jump ahead to the section that interests you the most.

Ably’s LiveSync product is now available as a public alpha release. LiveSync allows you to automatically keep data in sync across servers and clients, in realtime. This is a hard distributed systems problem. In this post, we’re going to have a look at four existing solutions to realtime data synchronization, the different technical designs, and the tradeoffs they make.

The emergence of generative AI (gen AI) heralds a new, groundbreaking era for advertising, media and entertainment. According to a recent Snowflake report, Advertising, Media and Entertainment Data + AI Predictions 2024, gen AI is going to transform the industry — from content creation to customer experience. The companies that will come out ahead during this time are those that most successfully and quickly supercharge their data strategy.

We're pleased to announce the general availability of Kong Insomnia 9.2. This release further expands on the features recently announced in Insomnia 9.0, with support for automatically generated fake values powered by the Faker.js library.

In an era where user expectations are sky-high, ensuring your website is always up, fast, and secure is crucial.