Have you ever wondered how massive business and consumer apps handle that kind of scale with concurrent users? To deploy high-performance applications at scale, a rugged operational database is essential. Cloudera Operational Database (COD) is a high-performance and highly scalable operational database designed for powering the biggest data applications on the planet at any scale.

With 38% of data teams spending between 20% and 40% of their time fixing data pipelines¹, delivering reliable data to end users can be an expensive activity for data teams. With Kensu’s latest integration with Azure Data Factory, ADF users now benefit from the ability to observe data within their Azure Data Factory pipelines and receive valuable insights into data lineage, schema changes, and data quality metrics.

Bitrise on AWS is a new integration that brings together the industry-leading Mobile DevOps capabilities of Bitrise with the flexibility and control of your AWS build infrastructure.

We are thrilled to share that we’ve raised $7M in seed funding! At Koyeb, we simplify app deployment with our global serverless platform. We provide an easy way to deploy full-stack applications and databases in production, everywhere, in minutes. We’re focused on allowing developers and businesses to seamlessly build, run, and scale any application globally, with no code rewrite or infrastructure management.

In today's evolving technology landscape, businesses are increasingly recognizing the potential of migrating legacy systems to the cloud. Even though they are the backbone of many organizations, legacy systems and services deployed via on-premises servers often need help to keep up with modern business requirements. Cloud migration offers a transformative opportunity to enhance scalability, flexibility, and efficiency, while enabling access to a wealth of innovative services.

Enterprises see embracing AI as a strategic imperative that will enable them to stay relevant in increasingly competitive markets. However, it remains difficult to quickly build these capabilities given the challenges with finding readily available talent and resources to get started rapidly on the AI journey.