clustering   9468

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Kiali - Visibility for microservices under Istio
Provides answers to the questions:
What microservices are part of my Istio service mesh and how are they connected?
mesh  virtualization  opensource  Kubernetes  clustering  tools  microservices 
7 days ago by liqweed
Parameter Estimation for von Mises–Fisher Mixture Model via Gaussian Distribution
A variant of Clustering on the Unit Hypersphere using von Mises-Fisher Distributions using Variational Bayes technique (ouch).
coink  clustering  mixture  von-mises-fisher  spherical  k-means  machine  learning 
7 days ago by paunit
K-atlas - Discover & explore multi-cluster Kubernetes resources and metadata
A distributed graph based platform to automatically collect, discover, explore and relate multi-cluster Kubernetes resources and metadata. The system will have a rich query language that will allow for simple and efficient exploration and extensibility.
Kubernetes  tools  clustering  graph-theory  opensource  querying  cool-tools 
8 days ago by liqweed
[1704.00454] Clustering in Hilbert simplex geometry
Clustering categorical distributions in the probability simplex is a fundamental task met in many applications dealing with normalized histograms. Traditionally, the differential-geometric structures of the probability simplex have been used either by (i) setting the Riemannian metric tensor to the Fisher information matrix of the categorical distributions, or (ii) defining the dualistic information-geometric structure induced by a smooth dissimilarity measure, the Kullback-Leibler divergence. In this work, we introduce for this clustering task a novel computationally-friendly framework for modeling the probability simplex termed {\em Hilbert simplex geometry}. In the Hilbert simplex geometry, the distance function is described by a polytope. We discuss the pros and cons of those different statistical modelings, and benchmark experimentally these geometries for center-based k-means and k-center clusterings. We show that Hilbert metric in the probability simplex satisfies the property of information monotonicity. Furthermore, since a canonical Hilbert metric distance can be defined on any bounded convex subset of the Euclidean space, we also consider Hilbert's projective geometry of the elliptope of correlation matrices and study its clustering performances.
clustering  representation  categorical-variables  rather-interesting  machine-learning  to-understand 
10 days ago by Vaguery
zalando/skipper: An HTTP router and reverse proxy for service composition, including use cases like Kubernetes Ingress
An HTTP router and reverse proxy for service composition, including use cases like Kubernetes Ingress - zalando/skipper
golang  http  proxy  router  clustering  kubernetes  reverse-proxy  reverseproxy  devops  docker 
12 days ago by xer0x
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions
Everything is in the title -- vMF distribution on hypersphere is somehow the "minimal info" parametric distribution targetting a certain mean. Nice derivation of approx for ML estimates for mixtures of vMF and application in large dim (> 100)
coink  clustering  mixture  von-mises-fisher  spherical  k-means  machine  learning 
12 days ago by paunit
Jaeger - Open source, end-to-end distributed tracing
Monitor and troubleshoot transactions in complex distributed systems. As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability. It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application.
monitoring  tools  opensource  golang  microservices  clustering  distributed  Cassandra 
21 days ago by liqweed
Kedge - Simple, Concise & Declarative Kubernetes Applications
A simple, easy and declarative way to define and deploy applications to Kubernetes by writing very concise application definitions.
Kubernetes  deployment  clustering  opensource  DSL  tools 
24 days ago by liqweed
Loki - Prometheus-inspired logging for cloud natives
Loki is a logging backend, optimized for users running Prometheus and Kubernetes. Loki is optimized to search, visualize and explore your logs natively in Grafana. By Grafana Labs.
Kubernetes  logging  clustering  opensource  distributed  monitoring 
29 days ago by liqweed

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