Systems | Development | Analytics | API | Testing

To become a data-driven business and perform effective data management, organizations must construct high-performance data pipelines that can effectively collect, process, and analyze their enterprise information. When handling data processing and integration, companies have several choices for how to construct their data flows. Instead of writing custom data workflows from scratch, most businesses decide to use an ELT data platform that seamlessly connects the various datasets in their IT ecosystem.

If you’ve been researching API security, you’ve likely seen the term “Zero Trust.” And you may already know that organizations can use Zero Trust to help protect their APIs from attacks. What you may not know is that Zero Trust is one of the best models for API security. According to Microsoft, “96 percent of security decision-makers state that Zero Trust is critical to their organization’s success.” But what is Zero Trust exactly?

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.

Learn how our new developer tools for iOS and Android web apps and websites help streamline cross-browser debugging and accelerate development.

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.

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.

Stay on top of issues and easily forecast usage for Ably-powered realtime applications in your out-of-the-box Datadog dashboards. Cloud-based applications providing live user experiences at scale need to measure their realtime infrastructure’s state and health at all times. Imagine a customer support chat system supporting thousands of businesses or a live sport event delivering updates to millions of fans.

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 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.