Last week, we made an announcement about our work with partners to increase the support for various types of workloads on Red Hat OpenShift. This comes shortly after the completion of our Workloads Survey, where we found that a lot of you are running databases, Web servers and data ingestion engines like Kafka.
Because workloads are the heart and soul of any computing cluster, we wanted to take a moment and highlight our customers and partners who've worked with us to optimize their workloads and build Kubernetes Operators.
Burzin Patel, vice president, Global Alliances, HashiCorp
“We are pleased to be part of Red Hat’s hybrid cloud ecosystem, as a provider of a certified application for OpenShift. The HashiCorp Vault Helm chart with OpenShift support enables applications with no native Vault logic built-in to leverage static and dynamic secrets sourced from Vault. Using the Helm chart can make it easier to run Vault on OpenShift, and gives you a repeatable deployment process in less time.”
Sarah Branfman, VP of Partners, MongoDB
"Cloud-native applications on the hybrid cloud need seamless access to cloud database services. MongoDB built a Kubernetes operator for MongoDB Atlas, which is now certified with Red Hat OpenShift to provide our mutual customers an automated way to deploy, run and scale cloud and hybrid deployments as part of app development and operations on OpenShift."
Pierre-Henri Gache, cloud solution architect, AXA France
"We are using Red Hat OpenShift to deploy large AI/ML models that automate our contract subscription process, which was previously manual and error-prone. We use a PaaS service from AXA Group Operations called OpenPaaS, a superset of OpenShift, making it easier for us to consume OpenShift in compliance with AXA security rules. We are able to build AI/ML models that automatically scan and validate documents, and improve client satisfaction. Additionally, we use GitOps for automating deployment and it helps us carry out up to 10 deployments a day."
Yi Jun, operation and maintenance director, Baozun
“We use Red Hat OpenShift to support the operation of a number of key business systems, including online services, digital marketing, e-commerce operations, warehousing and logistics services, and customer service. Red Hat OpenShift can help us accelerate the creation of cloud-native applications and provide customers with better services. Based on OpenShift, an agile, efficient and easy-to-scalable hybrid cloud platform has also been created to meet the needs of rapid iteration and delivery of business systems.”
Çağlar Gülşeni, AI architecture chapter lead, Türkiye İş Bankası
“We selected Red Hat OpenShift for our AI applications, including ATM optimization, income estimations, pricing and other AIOps and NLP-based apps. For these applications, we are running artificial intelligence workloads on OpenShift with more than 30 AI/ML apps in production. OpenShift helps us manage the MLOps pipeline including AI model development, deployment, and monitoring. We chose OpenShift because it is easy to integrate with DevOps and GitOps tools and increases our application development speed so we can deploy faster. We also use OpenShift Data Foundation to store our model and the data in a more secure manner.”
Bernd Malmqvist, senior development manager, WorldPay by FIS
"To run our key payment applications, it was critical to have a solution that is both highly scalable and provides the required advanced security features. Red Hat OpenShift not only meets those needs, it also offers simplified PCI-DSS compliance for processing payments on OpenShift. We have seen increased efficiency and better time-to-market. We've been able to follow and adopt the Red Hat Operator and GitOps model, by writing custom operators which enable us to automate our cluster management, saving time and increasing self-service for product teams."