As the world’s leading local delivery platform, Delivery Hero brings groceries and household goods to customers in more than 70 countries. Their technology stack comprises over 200 services across 20 Kubernetes clusters running on Amazon EKS. This cloud-based, containerized infrastructure enabled them to scale their operation to support increasing demand as the volume of orders placed on their platform doubled during the pandemic.

By kickstarting a monitoring project with Prometheus, you might realize that you get an initial set of out-of-the-box metrics with just Node Exporter and Kube State Metrics. But, this will only get you so far since you will just be performing black box monitoring. How can you go to the next level and observe what’s beyond? They are an essential part of the day-to-day monitoring of cloud-native systems, as they provide an additional dimension to the business and app level.

Since the very first version, Epinio has made use of an internal S3 endpoint to store the user’s projects in the form of aggregated tarballs. Those objects are then downloaded and staged by the internal engine’s pipeline and, finally, they are deployed into the Kubernetes cluster as consumable applications. Epinio makes use of S3 as an internal private service. In this scenario, S3 can be thought of as an internal ephemeral cache with the purpose of storing temporary objects.

One may say that competitive dynamics in the automotive space are constantly changing, and they would not be wrong in the slightest. As retailers face the daily battlefield of getting their customers’ attention with the right mix of products at the right price and on the right platform, their technology infrastructure must be lean and efficient while achieving those goals—and that is no easy feat.

StormForge Optimize Live is a machine learning-powered performance and resource optimization solution for Kubernetes workloads. Optimize Live ingests and analyzes production observability data and recommends specific actions to optimize CPU and memory utilization. You can take these actions manually or set them to occur automatically, making it easier to maintain a high level of application performance while minimizing cloud costs.