
Kubernetes
Rancher
Helm.sh
Docker
Google Kubernetes Engine
Docker Swarm
Docker Compose
Amazon AWS
GoodData
Looker
Domo
Sisense
Qlik
MicroStrategy
Tableau
Oracle Analytics Cloud
GoodData is an AI-native analytics platform, built for speed, scale and trust. It enables organisations to embed agentic AI into their data-stack, deliver governed insights in real time, and integrate seamlessly into any environment.
With GoodData you get the full data-intelligence cycle โ from integration and modelling through to visualization and production-ready AI agents โ all accessible via APIs, SDKs and no-code interfaces.
At the heart of the platform is a code-defined semantic layer that transforms raw data into consistent business concepts, metrics and logic, grounding every insight and agentic interaction in governance and trust.
Extendable across public and private cloud, on-premises or hybrid deployments, GoodData works where your infrastructure lives โ developer-friendly, embeddable, and built to scale.
Today, GoodData powers thousands of organisations and millions of users who depend on it to turn data into embedded, actionable intelligence.
Kubernetes
GoodDataA cloud-based end-to-end analytics Platform - headless BI - Data as a Service
Based on our record, Kubernetes seems to be more popular. It has been mentiond 391 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I run the Jenkins controller in Kubernetes. Helm chart for the deploy, persistent volume for the home dir, a sidecar that injects JCasC config from a ConfigMap. Upgrading Jenkins is just bumping a chart version. Rolling back is rolling back a chart version. Plugin lists are values in a Helm values.yaml file, version-pinned, and reviewed in a pull request like any other change. - Source: dev.to / about 2 months ago
Does this scenario sound familiar? It's what happened with containerization before Kubernetes. Kubernetes came along and said: Here's the standard. MCP is doing the same thing for AI tooling. - Source: dev.to / about 2 months ago
Building your own runtime layer is the right call in a narrow set of scenarios. The open-source ecosystem has matured enough that deep platform engineering teams can stand up their own orchestration layer on top of the official Model Context Protocol Python or TypeScript SDKs. The SDKs implement the MCP specification over JSON-RPC 2.0 and support both stdio for local process communication and Streamable HTTP for... - Source: dev.to / about 2 months ago
Amazon Elastic Kubernetes Service (EKS) is a fully managed service from Amazon Web Services (AWS) that makes it easy to run Kubernetes on AWS without needing to install, operate, or maintain your own Kubernetes control plane. It automates cluster management, security, and scaling, supporting applications on both Amazon EC2 and AWS Fargate. - Source: dev.to / about 2 months ago
Adding Kubernetes for the orchestration of containers and quick scaling from 2 instances to more. - Source: dev.to / 2 months ago
Rancher - Open Source Platform for Running a Private Container Service
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Helm.sh - The Kubernetes Package Manager
Domo - Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Sisense - The BI & Dashboard Software to handle multiple, large data sets.