Tag Kubernetes

Serverless Containers with Sean McKenna

http://traffic.libsyn.com/sedaily/2018_01_25_SeanMcKenna.mp3Podcast: Play in new window | Download After two weeks of episodes about Kubernetes, our in-depth coverage of container orchestration is drawing to a close. We have a few more shows on the topic before we move on to covering other aspects of software. If you have feedback on this thematic format (whether you like it or not), send me an email: jeff@softwareengineeringdaily.com Today’s episode fits nicely into some of

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Container Instances with Gabe Monroy

http://traffic.libsyn.com/sedaily/2018_01_22_ContainerInstances.mp3Podcast: Play in new window | Download In 2011, platform-as-a-service was in its early days. It was around that time that Gabe Monroy started a container platform called Deis, with the goal of making an open source platform-as-a-service that anyone could deploy to whatever infrastructure they wanted. Over the last six years, Gabe had a front row seat to the rise of containers, the variety of container orchestration systems, and

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Service Mesh Design with Oliver Gould

http://traffic.libsyn.com/sedaily/2018_01_19_ConduitProxy.mp3Podcast: Play in new window | Download Oliver Gould worked at Twitter from 2010 to 2014. Twitter’s popularity was taking off, and the engineering team was learning how to scale the product. During that time, Twitter adopted Apache Mesos, and began breaking up its monolithic architecture into different services. As more and more services were deployed, engineers at Twitter decided to standardize communications between those services with a tool called

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Kubernetes Storage with Bassam Tabbara

http://traffic.libsyn.com/sedaily/2018_01_18_RookKubernetesStorage.mp3Podcast: Play in new window | Download Modern applications store most of their data on hosted storage solutions. We use hosted block storage to back databases, hosted object storage for objects such as videos, and hosted file storage for file systems. Using a cloud provider for these storage systems can simplify scalability, durability, and availability–it can be less painful than taking care of storage yourself. One downside: the storage systems

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Kubernetes State Management with Niraj Tolia

http://traffic.libsyn.com/sedaily/2018_01_17_KubernetesDataNiraj.mp3Podcast: Play in new window | Download A common problem in a distributed system: how do you take a snapshot of the global state of that system? Snapshot is difficult because you need to tell every node in the system to simultaneously record its state. There are several reasons to take a snapshot. You might want to take a picture of the global state for the purposes of debugging. Or

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Kubernetes Operations with Brian Redbeard

http://traffic.libsyn.com/sedaily/2018_01_16_MulticloudKubernetes.mp3Podcast: Play in new window | DownloadIn the last four years, CoreOS has been at the center of enterprise adoption of containers. During that time, Brian Harrington (or “Redbeard”) has seen a lot of deployments. In this episode, Brian discusses the patterns he has seen among successful Kubernetes deployments–and the pitfalls of the less successful. How should you manage configuration? How can you avoid IP address overlap between containers? How

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FluentD with Eduardo Silva

http://traffic.libsyn.com/sedaily/2018_01_15_FluentD.mp3Podcast: Play in new window | Download A backend application can have hundreds of services written in different programming frameworks and languages. Across these different languages, log messages are produced in different formats. Some logging is produced in XML, some is produced in JSON, some is in other formats. These logs need to be unified into a common format, and centralized for any developer who wants to debug. The popularity

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The Gravity of Kubernetes

http://traffic.libsyn.com/sedaily/2018_01_13_GravityOfKubernetes.mp3Podcast: Play in new window | Download Kubernetes has become the standard way of deploying new distributed applications. Most new internet businesses started in the foreseeable future will leverage Kubernetes (whether they realize it or not). Many old applications are migrating to Kubernetes too. Before Kubernetes, there was no standardization around a specific distributed systems platform. Just like Linux became the standard server-side operating system for a single node, Kubernetes

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Kubernetes Vision with Brendan Burns

http://traffic.libsyn.com/sedaily/BrendanBurns.mp3Podcast: Play in new window | Download Kubernetes has become the standard system for deploying and managing clusters of containers. But the vision of the project goes beyond managing containers. The long-term goal is to democratize the ability to build distributed systems. Brendan Burns is a co-founder of the Kubernetes project. He recently announced an open source project called Metaparticle, a standard library for cloud-native development: Metaparticle builds on top

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Kubernetes on AWS with Arun Gupta

http://traffic.libsyn.com/sedaily/KubernetesonAWS.mp3Podcast: Play in new window | Download Since Kubernetes came out, engineers have been deploying clusters to Amazon. In the early years of Kubernetes, deploying to AWS meant that you had to manage the availability of the cluster yourself. You needed to configure etcd and your master nodes in a way that avoided having a single point of failure. Deploying Kubernetes on AWS became simpler with an open-source tool called

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Istio Motivations with Louis Ryan

http://traffic.libsyn.com/sedaily/IstioMotivations.mp3Podcast: Play in new window | Download A single user request hits Google’s servers. A user is looking for search results. In order to deliver those search results, that request will have to hit several different internal services on the way to getting a response. These different services work together to satisfy the user request. All of these services need to communicate efficiently, they need to scale, and they need

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Kubernetes Usability with Joe Beda

http://traffic.libsyn.com/sedaily/KubernetesUsability.mp3Podcast: Play in new window | Download Docker was released in 2013, and popularized the use of containers. A container is an abstraction for isolating a well-defined portion of an operating system. Developers quickly latched onto containers as a way to cut down on the cost of virtual machines–as well as isolate code and simplify deployments. Developers began deploying so many containers that they needed a centralized way to manage

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How IBM Runs Its Cloud with Jason McGee

http://traffic.libsyn.com/sedaily/BuildingaCloudIBM.mp3Podcast: Play in new window | Download Cloud computing changed the economics of running a software company. A cloud is a network of data centers that offers compute resources to developers. In the 1990s, software companies purchased servers–an upfront capital expense that required tens of thousands of dollars. In the early 2000s, cloud computing started, and turned that capital expense into an operational expense. Instead of a huge bulk purchase

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Container Networking with Dan Williams

http://traffic.libsyn.com/sedaily/CNI.mp3Podcast: Play in new window | Download Containers are widely used in projects that have adopted Docker, Kubernetes, or Mesos. Containers allow for better resource isolation and scalability. With all of the adoption of containers, companies like Red Hat, Google, and CoreOS are working on improved standards within the community. Standards are important to this community because of its pace of growth and the number of concurrent projects. If you

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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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