While monitoring is an important part of any robust application deployment, it can also seem overwhelming to get a full application performance monitoring (APM) stack deployed. In this post, we’ll see how operating a Kubernetes environment using the open-source Kong Ingress Controller can simplify this seemingly daunting task! You’ll learn how to use Prometheus and Grafana on Kubernetes Ingress to simplify APM setup.

Recently, k6 started supporting k6 extensions to extend k6 capabilities for other cases required by the community. The community has already built plenty of extensions. k6 extensions are written in Go, and many of them are reusing existing Go libraries. This makes k6 to be a versatile tool to test different protocols and adapt to multiple cases. This post is the third part of my series of articles testing various systems using k6: Let's look in this post how we test the popular Kafka project.

Learn how you can keep track of all of your organization’s data assets in one place

Load testing isn’t an engineer’s favorite task. Every setup choice made during performance testing will yield varying results. The chosen load test protocol is the difference between an application that performs well under most circumstances and one that buckles at hidden stress points. Yet failing to run adequate tests isn’t an option when dealing with a complex API architecture. Needless to say, all your load testing options must be carefully evaluated.

“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” That’s according to the author and consultant Geoffrey Moore. It’s an unsettling thought given that data and analytics are shifting from a secondary activity to a core business function. So what can companies do to gather and harness all of this information? The below guide discusses data sources and their role in informing decision-making.

With over 100 out-of-the-box connectors, Fivetran is the no-code/low-code solution for many CTOs, software developers, and data analysts who want to extract, load, and transform data from disparate sources, load that data into a warehouse for analytics, and then convert it into a usable format.

When time-to-market can make the difference between being a market leader or “just another product,” the need for speed and agility are crucial. As many as 35% of today’s companies generated more than a quarter of their revenue as a direct result of APIs. As a start-up, you’ll need a strategy that supports rapid product delivery which ultimately shortens the customer feedback loop. Here, we’ll discuss the top five API development strategies for building robust APIs.

Increasing API-led connectivity allows for frequently needed modifications for rapidly changing technology and and is a way for businesses to manage data and process in a highly efficient manner. API-led business systems reduce costs and eliminate bulky hardware and other complications such as licensing and workforce requirements. Ultimately, API-led connectivity enables you to streamline your business and ensure your technology stack is as running as effectively as possible.

Do you ever feel like connecting with the right customer audience is just a matter of luck? We’ve met a CDO who leaves audience targeting up to chance. Cosmo, CDO is not a Chief Data Officer — he’s a Chief Destiny Officer. While we focus on data here at Talend, we’re trying to understand the 36% of business executives who say they don’t base the majority of their decisions on data.

Many customers looking at modernizing their pipeline orchestration have turned to Apache Airflow, a flexible and scalable workflow manager for data engineers. With 100s of open source operators, Airflow makes it easy to deploy pipelines in the cloud and interact with a multitude of services on premise, in the cloud, and across cloud providers for a true hybrid architecture.