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Istio and Kubernetes in production. Part 2. Tracing

In the previous post, we took a look at the building blocks of Service Mesh Istio, got familiar with the system, and went through the questions that new Istio users often ask. In this post, we will look at how to organize the collection of tracing information over the network. The first thing that developers and system administrators think about when they hear the term Service Mesh is tracing.

Exposing microservices running in AWS EKS with a microservices/API gateway like Solo Gloo

Ambassador: Building a Control Plane for an Envoy-Powered API Gateway on Kubernetes

Poseidon-Firmament Scheduler – Flow Network Graph Based Scheduler

In this blog post, we briefly describe the novel Firmament flow network graph based scheduling approach (OSDI paper) in Kubernetes. We specifically describe the Firmament Scheduler and how it integrates with the Kubernetes cluster manager using Poseidon as the integration glue. We have seen extremely impressive scheduling throughput performance benchmarking numbers with this novel scheduling approach.

Performance monitoring with OpenTracing, OpenCensus, and OpenMetrics

If you are familiar with instrumenting applications, you may have heard of OpenMetrics, OpenTracing, and OpenCensus. These projects aim to create standards for application performance monitoring and collecting metric data. Although the projects do overlap in terms of their goals, they each take a different approach to observability and instrumentation.

Machine Learning-Powered Search Ranking of Airbnb Experiences

How we built and iterated on a machine learning Search Ranking platform for a new two-sided marketplace and how we helped itgrow. Airbnb Experiences are handcrafted activities designed and led by expert hosts that offer a unique taste of local scene and culture. Each experience is vetted for quality by a team of editors before it makes its way onto the platform.

How Uber Monitors 4,000 Microservices

With 4,000 proprietary microservices and a growing number of open source systems that needed to be monitored, by late 2014 Uber was outgrowing its usage of Graphite and Nagios for metrics. They evaluated several technologies, including Atlas and OpenTSDB, but the fact that a growing number of open source systems were adding native support for the Prometheus Metrics Exporter format tipped the scales in that direction. Uber found with its use of Prometheus and M3, Uber’s storage costs for ingesting metrics became 8.53x more cost effective per metric per replica.

The State of Kubernetes Configuration Management

Configuration management is a hard, unsolved problem. We share some unique insights about the strengths and weaknesses of several popular K8s config management tools. Of all the problems we have confronted, the ones over which the most brainpower, ink, and code have been spilled are related to managing configurations.

Teaching AI to learn speech the way children do

A collaboration between the Facebook AI Research (FAIR) group and the Paris Sciences & Lettres University, with additional sponsorship from Microsoft Research, to challenge other researchers to teach AI systems to learn speech in a way that more closely resembles how young children learn. The ZeroSpeech 2019 challenge (which builds on previous efforts in 2015 and 2017) asks participants to build a speech synthesizer using only audio input, without any text or phonetic labels. The challenge’s central task is to build an AI system that can discover, in an unknown language, the machine equivalent of text of phonetic labels and use them to re-synthesize a sentence in a given voice.