Category Cloud Engineering

Universal Healthcare with Thomas Bukowski

http://traffic.libsyn.com/sedaily/UniversalHealthcare.mp3Podcast: Play in new window | Download Everyone in the world should have some basic level of guaranteed healthcare. This is not controversial. But what should that basic level of healthcare be? Should it extend into the later years of your life, when the majority of your health costs are incurred? And how much has modern technology driven down the cost of what it should cost to treat a patient?

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Microservices Transition with Cassandra Shum

http://traffic.libsyn.com/sedaily/CassandraShum.mp3Podcast: Play in new window | Download Many companies are transitioning from a monolith to microservices architecture. Tools for cloud computing, containerization, and continuous delivery are making this easier. But there are still technological and organizational challenges that a company will encounter while making this transition. Cassandra Shum is an engineer with ThoughtWorks. She has worked with major financial institutions and other large companies to architect their migrations from monolith

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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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Firebase with Doug Stevenson

http://traffic.libsyn.com/sedaily/Firebase.mp3Podcast: Play in new window | Download Firebase is a backend-as-a-service. The key efficiency of a backend-as-a-service is that it enables developers to go from having a 3-tier architecture (client, server, database) to a 2-tier architecture (client, backend-as-a-service). The team who started Firebase built it as a pivot. They had started a social network, and then they realized there wasn’t a good backend for chat tools. And so they started

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Spring Boot with Josh Long

http://traffic.libsyn.com/sedaily/SpringBoot.mp3Podcast: Play in new window | Download Spring Framework is an application framework for Java and JVM languages. Spring was originally built around dependency injection, but grew to become an entire ecosystem of tools and plugins for Java developers. Spring was originally released 15 years ago, and since then a lot has changed around application development. For example, many engineers deploy applications to the cloud in microservices architectures. The expectations

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Microservices Practitioners with Austin Gunter and Richard Li

http://traffic.libsyn.com/sedaily/microservicesmacro_edited.mp3Podcast: Play in new window | Download The word “microservices” started getting used after a series of events–companies were moving to cloud virtual machines. Those VMs got broken up into containers, and the containers can fit to the size of the service. Services that are more narrowly defined take up smaller containers, and can be packed more densely into the virtual machines–hence the term “microservices.” As this change to software

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Elasticsearch with Philipp Krenn

http://traffic.libsyn.com/sedaily/Elasticsearch.mp3Podcast: Play in new window | Download Search is a common building block for applications. Whether we are searching Wikipedia or our log files, the behavior is similar: a query is entered and the most relevant documents are returned. The core data structure for search is an inverted index. Elasticsearch is a scalable, resilient search tool that shards and replicates a search index. Philipp Krenn from Elastic joins the show

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API Design Standards with Andy Beier

http://traffic.libsyn.com/sedaily/api-design.mp3Podcast: Play in new window | Download There are various standards at play when creating and consuming Application Program Interfaces (APIs).  These standards, though, are mostly technical and mostly lower-level than the content of the API. Andy Beier has experienced the broad range of API quality in his role with Domo in creating integrations with other businesses.  He has made standardization of good practices in creating APIs his mission, with

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Failure Injection with Kolton Andrus

http://traffic.libsyn.com/sedaily/gremlin_edited.mp3Podcast: Play in new window | Download Servers in a data center fail. Sometimes entire data centers have a power outage. Bugs in an application make it into production. Human operators make mistakes and cause data to be deleted. Failure is unavoidable. We make backups and replicate our servers so that when a failure occurs, we can quickly respond to it without making the user feel much pain. But how

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Software Psychology with Bjorn Freeman Benson

http://traffic.libsyn.com/sedaily/Invision.mp3Podcast: Play in new window | Download Designers and software engineers need to communicate with each other. From Apple to Slack to Uber, the emphasis on visual design within a product is rising in importance. Much like development and operations siloes have been bridged with the DevOps movement, design and engineering teams are working more closely together to align the vision of the designers with the realities of code. InVision

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Stripe Infrastructure with Evan Broder

http://traffic.libsyn.com/sedaily/stripeinfrastructure_fixed.mp3Podcast: Play in new window | Download If you are building a service that processes payments, your software architecture has a lot of requirements. Not only do you need to be highly available, consistent, and fast–you need to be PCI compliant. In this episode, we explore the infrastructure of Stripe with Evan Broder, who has been with the company for five years. Stripe started as a small payments company catering

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Stripe Observability with Cory Watson

http://traffic.libsyn.com/sedaily/stripe_observability_edited.mp3Podcast: Play in new window | Download Observability allows engineers to understand what is going on inside their systems. In its most raw form, observability comes from log data. Modern systems have many layers of logs–virtualized cloud infrastructure, container orchestration, the container runtime itself, and the application logic running within the container. With all of these layers, it is not practical for a developer to have to sift through layers

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Using CQRS to Make Controllers Lean with Derek Comartin

http://traffic.libsyn.com/sedaily/Using_CQRS.mp3Podcast: Play in new window | Download Command Query Responsibility Segregation (CQRS) is a powerful concept that has the potential to make for reliable and maintainable systems.  It is also broadly misunderstood and means different things to different people. Derek Comartin learned about the idea after viewing some talks by Greg Young and has since successfully applied the approach with great success and it has transformed the way he views

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Load Testing with Mark Gilbert

http://traffic.libsyn.com/sedaily/loadtesting_edited.mp3Podcast: Play in new window | Download Load testing measures performance of a system undergoing a large volume of requests. Before an application is pushed to production, engineers will often load test their software to ensure it is resilient in the face of high traffic. As web applications have changed, the requirements around load testing have changed as well. External APIs, internal undocumented APIs, and proprietary databases are black boxes

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Parse and Operations with Charity Majors

http://traffic.libsyn.com/sedaily/OperationswithCharityMajors.mp3Podcast: Play in new window | Download Parse was a backend as a service company built in 2011 before being acquired by Facebook in 2013. Building a backend as a service for developers requires walking a thin line between giving engineers lots of control and preventing those engineers from shooting themselves in the foot. While she was at Parse, Charity Majors learned about the operational burdens of managing a service

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Heroku Autoscaling with Andrew Gwozdziewycz

http://traffic.libsyn.com/sedaily/autoscaling_edited.mp3Podcast: Play in new window | Download When an application is using all of its available resources, that application needs to be scaled. Scaling an application means giving it more resources–typically servers. Autoscaling is an engineering practice where an application is automatically given more or less resources based on how healthy the application performance is at a given time. Applications on Heroku have access to autoscaling. Heroku users don’t need

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Data Warehousing with Mark Rittman

http://traffic.libsyn.com/sedaily/data-warehousing_edited.mp3Podcast: Play in new window | Download In the mid 90s, data warehousing might have meant “using an Oracle database.” Today, it means a wide variety of things. You could be stitching together a big data pipeline using Kafka, Hadoop, and Spark. You could be using managed tools like BigQuery from Google. How did we get from the simple days of Oracle databases to the wealth of options available today?

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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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Infrastructure with Datanauts’ Chris Wahl and Ethan Banks

http://traffic.libsyn.com/sedaily/DataNauts.mp3Podcast: Play in new window | Download Infrastructure is a term that can mean many different things: your physical computer, the data center of your Amazon EC2 cluster, the virtualization layer, the container layer–on and on. In today’s episode, podcasters Chris Wahl and Ethan Banks discuss the past, present, and future of infrastructure with me. Ethan and Chris host Datanauts, a podcast about infrastructure. In each episode, Datanauts goes deep

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Giphy Engineering with Anthony Johnson

http://traffic.libsyn.com/sedaily/giphy_edited.mp3Podcast: Play in new window | Download Giphy is a search engine for gifs, the short animated graphics that we see around the Internet. Giphy is also a creative platform where people create new gifs. Every search engine requires the construction of a search index, which is a data structure that responds to search queries efficiently. Since Giphy is a search engine for graphics, there is almost no text inherently

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