Tag Kubernetes

Apparel Machine Learning with Colan Connon and Thomas Bell

http://traffic.libsyn.com/sedaily/ApparelMachineLearning.mp3Podcast: Play in new window | Download In its most basic definition, machine learning is a tool that makes takes a data set, finds a correlation in that data set, and uses that correlation to improve a system. Any complex system with well-defined behavior and clean data can be improved with machine learning. Several precipitating forces have caused machine learning to become widely used: more data, cheaper storage, and better

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Linux Kernel Governance with Greg Kroah-Hartman

http://traffic.libsyn.com/sedaily/LinuxKernel.mp3Podcast: Play in new window | Download The code in the Linux kernel changes all the time–11k lines are added, 5.8k lines are removed, and 2k lines are modified DAILY. Linux is an open source operating system that has been worked on for 25 years, and one reason the project is able to move so fast is its governance and release structure. Greg Kroah-Hartman is a fellow at the Linux

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Istio Service Mesh with Varun Talwar and Louis Ryan

http://traffic.libsyn.com/sedaily/IstioServiceMesh.mp3Podcast: Play in new window | Download Modern software applications are often built out of loosely coupled microservices. These services can be written in different languages, by different people, but communication between services needs to be standardized. For this reason, a service proxy is useful. A service proxy is a sidecar container that sits next to a service and facilitates communications with other services. Once every service has a sidecar

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Service Mesh with William Morgan

http://traffic.libsyn.com/sedaily/ServiceMesh.mp3Podcast: Play in new window | Download Containers make it easier for engineers to deploy software. Orchestration systems like Kubernetes make it easier to manage and scale the different containers that contain services. The popular container infrastructure powered by Kubernetes is often called “cloud native.” On Software Engineering Daily, we have been exploring cloud native software to get a complete picture of the problems in the space, and the projects

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Event Driven Serverless with Sebastien Goasgoen

http://traffic.libsyn.com/sedaily/kubeless_edited.mp3Podcast: Play in new window | Download Modern architectures often consist of containers that run services. Those containers scale up and down depending on the demand for the services. These large software systems often use a technique known as event sourcing, where every change to the system is kept in an event log. When an event on the log is processed, several different data stores might be updated in response.

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Serverless on Kubernetes with Soam Vasani

http://traffic.libsyn.com/sedaily/Fission.mp3Podcast: Play in new window | Download Kubernetes is an orchestration system for managing containers. Since it was open sourced by Google, Kubernetes has created a wave of innovation in the infrastructure technology space. Another recent innovation has been the “serverless” execution tools–such as AWS Lambda and Google Cloud Functions. Serverless execution, otherwise known as functions-as-a-service, allows a developer to execute code against cloud servers without specifying which cloud servers

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Container Engines with David Aronchick and Chen Goldberg

http://traffic.libsyn.com/sedaily/containerengines.mp3Podcast: Play in new window | Download Kubernetes makes it easier for engineering teams to manage their distributed systems architecture. But it’s still not simple to deploy and operate a Kubernetes cluster. Google Container Engine (GKE) is a managed control plane for Kubernetes. Just as developers can use Google App Engine to easily deploy monolithic apps against a platform as a service, we can use Google Container Engine to deploy

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Cloud Native Projects with Dan Kohn

http://traffic.libsyn.com/sedaily/CNCF.mp3Podcast: Play in new window | Download Cloud computing changed how we develop applications for the web. Over the last decade, engineers have been learning how to build software in this new paradigm. The costs have gone down, but our nodes can fail at any time. We no longer have to manage individual servers, but the layers of virtualization and containerization require new strategies for communicating between services. As we

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Convolutional Neural Networks with Matt Zeiler

http://traffic.libsyn.com/sedaily/ClarifaiCNNs.mp3Podcast: Play in new window | Download Convolutional neural networks are a machine learning tool that uses layers of convolution and pooling to process and classify inputs. CNNs are useful for identifying objects in images and video. In this episode, we focus on the application of convolutional neural networks to image and video recognition and classification. Matt Zeiler is the CEO of Clarifai, an API for image and video recognition.

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Service Proxying with Matt Klein

http://traffic.libsyn.com/sedaily/Envoy.mp3Podcast: Play in new window | Download Most tech companies are moving toward a highly distributed microservices architecture. In this architecture, services are decoupled from each other and communicate with a common service language, often JSON over HTTP. This provides some standardization, but these companies are finding that more standardization would come in handy. At the ridesharing company Lyft, every internal service runs a tool called Envoy. Envoy is a

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Mesos, Kubernetes, and Infrastructure of the Future with Dharmesh Kakadia

http://traffic.libsyn.com/sedaily/mesos-and-kubernetes_edited_1.mp3Podcast: Play in new window | Download Mesos and Kubernetes are tools for distributed systems management. Kubernetes is built with an emphasis on running services, whereas Mesos is commonly used for a wider variety of workloads, including data infrastructure like Spark and Kafka. Mesos can also be used as a platform to provide resource management for Kubernetes. Dharmesh Kakadia is the author of Apache Mesos Essentials, and has spent time

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Google Cloudbuilding with Joe Beda

http://traffic.libsyn.com/sedaily/cloudbuilding_edited.mp3Podcast: Play in new window | Download Google Compute Engine is the public cloud built by Google. It provides infrastructure- and platform-as-a-service capabilities that rival Amazon Web Services. Today’s guest Joe Beda was there from the beginning of GCE, and he was also one of the early engineers on the Kubernetes project. Google’s internal systems have made it easy for employees to spin up compute resources, but it was not

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Container Security with Phil Estes

http://traffic.libsyn.com/sedaily/Container_Edited.mp3Podcast: Play in new window | Download Containers have become the unit of infrastructure that many technology stacks deploy to. With the shift to containers, the attack surface of an application has changed, and we need to reconsider our security models; the resource allocation of our containers, the interactions between different containers on a single machine, and the big picture–how the external web may interact with our containers. Phil Estes

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CoreOS with Brandon Philips

http://traffic.libsyn.com/sedaily/CoreOS_Edited_2.mp3Podcast: Play in new window | Download Google’s infrastructure has been the source inspiration for research papers, software projects, and entire companies. Google pioneered the idea that we care less about the individual machines we are running our applications on, and more about the applications themselves.   Containers are the abstraction we use to separate the concerns of the application from those of the underlying hardware. CoreOS is an operating system

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Kubernetes Migration with Sheriff Mohamed

http://traffic.libsyn.com/sedaily/sheriff_mohamed_fixed_edited.mp3Podcast: Play in new window | DownloadKubernetes is a cluster management tool open sourced by Google. On Software Engineering Daily, we’ve done numerous shows on how Kubernetes works in theory. Today’s episode is a case study in how to deploy Kubernetes to production at a company with existing infrastructure.   GolfNow is a fifteen year-old application written in C# .NET. It is a successful, growing business that is a division

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Prometheus Monitoring with Brian Brazil

http://traffic.libsyn.com/sedaily/prometheusbrian_edited_fixed.mp3Podcast: Play in new window | Download Prometheus is a tool for monitoring our distributed applications. It allows us to focus on the services we are deploying rather than the individual machines that make up instances of that service.   The monitoring service itself is a portion of a distributed system that is treated differently than the services we are monitoring. We don’t want to use a consensus-based tool like

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Prometheus with Julius Volz

http://traffic.libsyn.com/sedaily/Prometheus_Edited.mp3Podcast: Play in new window | Download Prometheus is an open-source monitoring tool built at SoundCloud. It can be used to produce detailed time-series data about a distributed architecture. Prometheus is based on the monitoring system inside Google’s infrastructure, called Borgmon.   Julius Volz is the creator of Prometheus, and he joins the show to explain why he built Prometheus and how it differs from previous monitoring tools. Prometheus is

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Kubernetes Origins with Craig Mcluckie

http://traffic.libsyn.com/sedaily/Kubernetes_Origins_Edited.mp3Podcast: Play in new window | Download The container management system Kubernetes was open sourced by Google with the intention of creating a cloud service based on the project. Today, the Kubernetes ecosystem is looking similar to the Android ecosystem, with different vendors providing different ways to use Kubernetes, from RedHat’s OpenShift to Google Container Engine.   Craig Mcluckie was a member of the team who originally devised Kubernetes, and

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Container Platforms with Darren Shepherd

http://traffic.libsyn.com/sedaily/rancherlabs_Edited.mp3Podcast: Play in new window | DownloadContainer management systems like Kubernetes and Docker Swarm give us a higher level management tool for architectures built out of distributed containers.   Container platforms like Rancher provide a higher layer of usability, and today’s guest Darren Shepherd of Rancher Labs takes us through what a container platform is. This interview is part of our continued coverage of Kubernetes, Docker, and the other components

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Schedulers with Adrian Cockcroft

http://traffic.libsyn.com/sedaily/Schedulers_Edited.mp3Podcast: Play in new window | Download Scheduling is the method by which work is assigned to resources to complete that work. At the operating system level, this can mean scheduling of threads and processes. At the data center level, this can mean scheduling Hadoop jobs or other workflows that require the orchestration of a network of computers. Adrian Cockcroft worked on scheduling at Sun Microsystems, eBay, and Netflix. In

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