Real-time analytics with stream processing and OLAP
Guest post originally published on Medium by Hubert Dulay Gartner States: “By the end of 2024, 75% of organizations will shift from piloting to operationalizing artificial intelligence (AI), driving a 5 times increase in streaming data and analytics infrastructures.” https://www.gartner.com/en/newsroom/press-releases/2020-06-22-gartner-identifies-top-10-data-and-analytics-technolo…
SVA System Vertrieb Alexander GmbH
This case study was originally published on June 29, 2023, on the Red Hat Hybrid Cloud blog. On April 18th, Norris Sam Osarenkhoe (DevOps Architect) from SVA System Vertrieb Alexander GmbH joined Red Hatters at the OpenShift Commons gathering in Amsterdam, a co-located…
Project post from the Dragonfly maintainers Dragonfly v2.1.0 is released! 🎉🎉🎉 Thanks to the Xinxin Zhao[1] for helping to refactor the console[2] and the manager provides a new console for users to operate Dragonfly. Welcome to visit d7y.io[3]…
Have we reached a point of no return on managing software dependencies?
Guest post originally published on Paolo Mainardi’s blog by Paolo Mainardi, Founder and CTO of Sparkfabrik Software Supply Chain security issues are hitting hard the whole OSS ecosystem; not a day goes by without a security incident going into the wild,…
Building resilience with Chaos Engineering and Litmus
Member post originally published on the InfraCloud blog by Ruturaj Kadikar Microservices architecture is a popular choice for businesses today due to its scalability, agility, and continuous delivery. However, microservices architectures are not immune to outages. Outages can…
How DeFacto migrated to an event-driven architecture leveraging Dapr DeFacto is a fashion retail company that operates across 33 countries with over 500 stores. The company develops all the applications for its core retail business in-house, encompassing an…
The design and implementation of the Xline persistent storage layer
Guest post by DatenLord Introduction In the early prototype phase of Xline, we used in-memory storage for data persistence. While this simplified the complexity of the Xline prototype design and speeded up the development and iteration of the…
Deploying Linkerd in the Cloud: Azure, AWS, or GCP
Guest post originally published on Buoyant’s blog by Michael Levan As discussed in my introduction to Linkerd, service meshes provide important, powerful security, reliability, and observability features. And although many engineers shy away from implementing a service mesh due…
Why large engineering teams are testing on Kubernetes
Guest post originally published on the Signadot blog by Nica Mellifera Introduction In the last few years we’ve seen development teams move away from purely local development, and a more cloud-based developer environment. The goal is increased development…
Tuning EMQX to scale to one million concurrent connections on Kubernetes
Guest post originally published on InfraCloud’s blog by Burhan (SRE) and Tushar (Sr. SRE) at InfraCloud Technologies When building an IoT-based service, we need to implement a messaging mechanism that transmits data collected by the IoT devices to…