If you landed on this blog post, chances are that you care about keeping your API secure. It’s an important topic to discuss: API exploits are on the rise, and you don’t want unauthorized users accessing your data. A big part of that security is implementing API authentication and API authorization. These API access control measures are a foundational aspect of API security.

Combine the flexibility of data lakes, governance of data warehouses and automated data movement.

In this guide, Viktor Gamov (Principle Developer Advocate at Kong) will dive into the power of Kong Konnect, the SaaS managed control plane for Kong Gateway designed for seamless API management. We’ll explore how to use Kong Konnect to configure external services, enable application registration, configure Dev Portal, use credentials to manage services access, and replicate configurations across different environments with just a few clicks. Let’s get started!

If you haven’t been tuned in, AI products are the new “it girl” on the block, turning heads and transforming the way businesses operate. This seismic shift isn't merely a trend; it's the new norm. AI has massive implications for Keboola’s mission - helping companies create and ship better data projects faster. We’ve been helping build AI-powered products for years, but the recent innovations in the space have accelerated our efforts even further.

As a developer supporting a growing business, you’ll likely spend a lot of time thinking about scaling. We live in a wonderful time to be solving scale problems. Computers are so fast and capable that many of the development decisions you make when writing backend systems won’t noticeably impact performance(until your app reaches an absolutely massive scale). If this weren’t the case, we’d all be writing web servers in C.

As the amount of data generated by businesses continues to grow exponentially, efficient and scalable ETL (extract, transform, load) processes have become crucial for managing and analyzing this data. Google BigQuery is a fully-managed, serverless data warehouse designed for super-fast SQL queries and data analysis. However, managing ETL processes in BigQuery can be complex and time-consuming. An ETL tool can help.

As the pace of data grows, modern companies struggle to get a unified view and extract insights across all their disparate sources. Heck, just accessing all the enterprise datasets can be hard and requires too many email chains with the IT department. Luckily, integrating data from different systems and external sources can be simplified with the right data integration technique.

Static analysis helps development teams that are under pressure. Quality releases needed to be delivered on time. Coding and compliance standards need to be met. And mistakes are not an option. That’s why development teams are using static analysis tools / source code analysis tools. Here, we discuss static analysis and the benefits of using static analysis tools.

By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). But as models go, the idea is easier than the execution.

The more effectively you do mobile application testing, the fewer problems you will come across in the future. However, testing doesn’t have to be challenging. You can easily get it right if the proper techniques, tools and procedures are in place. In this article, we’ll discuss 10 of the most popular mobile application testing techniques and outline their key benefits.