Amazon EKS
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Kubernetes
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Amazon EKS
SegmentBased on our record, Amazon EKS should be more popular than Segment. It has been mentiond 79 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.
On managed Kubernetes platforms like EKS, this has a second benefit: the cluster autoscaler pays attention to resource requests when deciding whether to add new nodes. - Source: dev.to / 2 months ago
After returning from AWS Summit London 2026 I was doing some research on running AI/ML workload in AWS EKS with Karpenter. With some assistance from Gemini I turned some of my notes from various talks into this guide that will talk through the intricacies of deploying and scaling Generative AI (GenAI) workloads on AWS EKS, leveraging the power of Karpenter. - Source: dev.to / 3 months ago
This post is a small step in that direction: serving an LLM using vLLM, deployed on Amazon EKS, provisioned the infra using AWS CDK, and wrapped into a simple chatbot using Streamlit. - Source: dev.to / 3 months ago
In this post, I'll walk you through setting up observability for Spring Boot applications on Amazon EKS - starting with the basics (logs and metrics), diving into distributed tracing, and finishing with Application Signals. Hopefully this saves you some time. - Source: dev.to / 7 months ago
Running Apache Spark on Kubernetes with AWS EMR on EKS brings big benefits โ you get the best of both worlds. AWS EMR's optimized Spark runtime and AWS EKS's container orchestration come together in one managed platform. Sure, you could run Spark on Kubernetes yourself, but it's a lot of manual work. You'd need to create a custom container image, set up networking, and handle a bunch of other configurations. But... - Source: dev.to / 9 months ago
For teams just starting out with PLG enrichment: Datagma as the primary personal email resolver, PDL as fallback, Segment as the event bus, Mixpanel for behavioral event storage (the SQL explorer makes it easy to export activation cohorts for offline scoring analysis without touching production code), and whatever CRM you already have. - Source: dev.to / 3 months ago
Twilio Segment: Specializes in customer data collection with a more neutral stance toward destination platforms. Its API allows flexible data routing across your tech stack without being tied to specific engagement channels. - Source: dev.to / over 1 year ago
To collect these metrics effectively, you'll need specialized tools like Google Analytics, Mixpanel, Segment, or Amplitude. - Source: dev.to / over 1 year ago
Segment for event collection and routing. - Source: dev.to / over 1 year ago
Segment โ Customer data platform for tracking and analytics. - Source: dev.to / over 1 year ago
Google Kubernetes Engine - Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.
Azure Container Service - Azure Container Service is a solution that optimizes the configuration of popular open-source tools and technologies specifically for Azure, it provides an open solution that offers portability for both users containers and users application configuโฆ
Egnyte - Enterprise File Sharing