Systems | Development | Analytics | API | Testing

Data teams are seeking change data capture solutions for faster, more efficient analytics.

Today, we are glad to release the Koyeb Terraform Provider and announce that we are a Hashicorp Technology partner. Terraform has become an essential tool for many developers who manage infrastructure and applications running in the cloud. We are excited to offer our users a way to manage their Koyeb resources using Terraform.

We are going to look at how performance testing can work hand in hand with Artificial Intelligence and Machine Learning: As there are many Artificial Intelligence solutions to choose from and for the purposes of this post this is the easiest way to discuss the principles of Artificial Intelligence working with performance testing rather than discussing a particular framework.

The term “Zero Trust” has become one of the most important concepts in the information security industry. An all-encompassing phrase for many modern security best practices, Zero Trust is a conceptual design philosophy focused on continuous authentication and authorization for each action a user takes within a session rather than verification that only occurs at the start of a session.

Streaming analytics in AWS gives enterprises the ability to process and analyze log data in real time, enabling use cases that range from delivering personalized customer experiences to anomaly and fraud detection, application troubleshooting, and user behavior analysis. In the past, real-time log analytics solutions could process just a few thousand records per second and it would still take minutes or hours to process the data and get answers.

In this blog, learn how to manage your mobile apps all in one place for a more connected and efficient testing experience with Sauce Labs' new App Management dashboard. Ensuring a seamless user experience for your mobile app requires an increasing amount of testing. With customer expectations also increasing, It’s never been more important for mobile development teams to have a highly scalable and reliable testing solution in their tech stack.

As organizations run more data applications and pipelines in the cloud, they look for ways to avoid the hidden costs of cloud adoption and migration. Teams seek to maximize business results through cost visibility, forecast accuracy, and financial predictability. Watch the breakout session video from Data Teams Summit and see how organizations apply agile and lean principles using the FinOps framework to boost efficiency, productivity, and innovation. Transcript available below.

As DataOps moves along the maturity curve, many organizations are deciphering how to best balance the success of running critical jobs with optimized time and cost governance. Watch the fireside chat from Data Teams Summit where Mark Sear, Head of Data Platform Optimization for Maersk, shares how his team is driving towards enabling strong engineering practices, design tenets, and culture at one of the largest shipping and logistics companies in the world.

Customers can realize the same fully-managed experience they have with our standard connectors and bring all their data into one platform.

Once in a while I stumble upon Spark code that looks like it has been written by a Java developer and it never fails to make me wince because it is a missed opportunity to write elegant and efficient code: it is verbose, difficult to read, and full of distributed processing anti-patterns. One such occurrence happened a few weeks ago when one of my colleagues was trying to make some churn analysis code downloaded from GitHub work.