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Apache Kafka is an event streaming technology capable of handling trillions of events a day. With Kafka, we can publish data to any number of systems or real-time applications and process it on the fly.

Kubernetes automates the deployment, scaling, and management of containerized applications. It is the de-facto standard in container orchestration and has a huge community of contributors.

GitOps is a way of implementing Continuous Deployment for cloud-native applications. With GitOps, you will deploy faster without switching tools while making error recovery as easy as issuing a git revert and watching your environment get restored.

Apache Flink is a framework and distributed processing engine that powers some of the world’s most demanding stream processing applications. It enables us to deliver high throughput and low latency solutions.

Debezium is a distributed platform for change data capture, making it simple and quick to respond to all inserts and updates. We use it to ensure that you never miss an event, even when things go wrong.

Apache Spark™ is a multi-language engine for executing data engineering and data science. Thanks to Spark, we can deliver real-time dashboards and reports faster than most data warehouses.

With Terraform, we can automate infrastructure on any cloud featuring security, compliance, and cost management capabilities. Avoid vendor lock-in and allow your teams to adopt, build, standardize and innovate infrastructure workflows in a self-service fashion.

Prometheus is a systems monitoring and alerting toolkit supporting multi-dimensional data collection and querying. It’s our choice for a system to have the data to quickly diagnose problems.

DataHub is an extensible metadata platform that enables data discovery, data observability, and federated governance. It’s our best friend when it comes to reducing the complexity when we work with a great variety of data ecosystems.