Cloud Engineering – Software Engineering Daily
By Cloud Engineering – Software Engineering Daily
About this podcast
Technical interviews about software topics.

Episodes (Total: 99 / Page: 1)
July 21, 2017 · 00:45:19
Reinforcement learning is a type of machine learning where a program learns how to take actions in an environment based on how that program has been rewarded for actions it took in the past. When program takes an action, and it receives a reward for that action, it is likely to take that action again in the future because it was positively reinforced. Michal Kempka is a computer scientist workContinue reading...
July 20, 2017 · 00:55:53
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 tooling. Two pieces of tooling that haveContinue reading...
July 18, 2017 · 01:02:19
Every software company backs up critical data sources. Backing up databases is a common procedure, whether a company is in the cloud or on-prem. Backing up virtual machine instances is less common. Rubrik is a company that is known for building backup infrastructure for enterprises. Their main product is an appliance that sits on prem at an enterprise and stores snapshots of virtual machines running within the enterprise. If aContinue reading...
July 11, 2017 · 01:03:13
Software deployment evolves over time. In the 90s, a “deployment” might have meant issuing a new edition of your software via CD-ROM. Today, a deployment is often a multi-stage process. A new software build will undergo automated unit tests and integration tests, before being deployed to users.  The deployment might only go out to a small percentage of total users initially, with that percentage going up as the deployment provesContinue reading...
July 10, 2017 · 00:59:01
Apache Kafka is an open-source distributed streaming platform. Kafka was originally developed at LinkedIn, and the creators of the project eventually left LinkedIn and started Confluent, a company that is building a streaming platform based on Kafka. Kafka is very popular, but is not easy to deploy and operationalize. That is why Confluent has built a Kafka-as-a-service product, so that managing Kafka is not the job of an on-call DevOpsContinue reading...
June 29, 2017 · 01:00:08
Instacart is a grocery delivery service. Customers log onto the website or mobile app and pick their groceries. Shoppers at the store get those groceries off the shelves. Drivers pick up the groceries and drive them to the customer. This is an infinitely complex set of logistics problems, paired with a rich data set given by the popularity of Instacart. Jeremy Stanley is the VP of data science for Instacart.Continue reading...
June 20, 2017 · 00:44:01
Software architecture address the challenge of communicating and navigating large, complex systems to stakeholders, both technical and non-technical.  Over the years software architecture has gone in and out of fashion.  Today we discuss why software architecture is important, what it means to have software architecture, and how to properly structure teams and incorporate architecture. Today’s show is guest hosted by David Curry. David sits down with Simon Brown to discussContinue reading...
June 19, 2017 · 00:57:23
A self-driving car needs to be able to quickly respond to changes in driving conditions. A factory needs to be able to quickly respond to changes in workplace safety. For these kinds of applications, we need processing power closer to the user of the application. If we put all of our application logic in the cloud, we will have to make a network round trip for every request. Servers inContinue reading...
June 16, 2017 · 01:11:02
John Looney spent more than 10 years at Google. He started with infrastructure, and was part of the team that migrated Google File System to Colossus, the successor to GFS. Imagine migrating every piece of data on Google from one distributed file system to another. In this episode, John sheds light on the engineering culture that has made Google so successful. He has very entertaining stories about clusterops and site-reliabilityContinue reading...
June 8, 2017 · 00:51:10
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 microservices against a platform as a service.Continue reading...
June 6, 2017 · 01:02:28
DNS stands for domain name system. This is the naming system that maps the entire internet. It associates information with domain names. More specifically, DNS specifies mappings between numerical IP addresses and domain names. Most engineers know these basic facts about DNS, but they may not know how much engineering a complex company like Etsy or Zappos puts into their DNS configuration. Dynamic DNS allows for intelligent response, so thatContinue reading...
June 2, 2017 · 00:56:03
On January 31st 2017, GitLab experienced a major outage of their online repository hosting service. The primary database server experienced data loss due to a combination of malicious spam attacks and engineering mistakes that occurred while trying to respond to those spam attacks. GitLab responded to the event transparently. The company put up a postmortem describing the event in detail. In subsequent posts, GitLab expressed sympathy for the employee whoContinue reading...
May 25, 2017 · 00:53:13
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? Healthcare today has lots of problems withContinue reading...
May 22, 2017 · 00:49:02
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 to microservices. Also, she regularly puts onContinue reading...
May 19, 2017 · 01:00:08
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 have adjusted to this new way ofContinue reading...
May 17, 2017 · 00:52:55
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 a chat-as-a-service tool, for people who wantedContinue reading...
April 26, 2017 · 00:41:50
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 around frameworks has also changed, with theContinue reading...
April 20, 2017 · 00:58:03
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 architecture has occurred, the DevOps movement hasContinue reading...
April 12, 2017 · 00:58:30
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 today to discuss how search works andContinue reading...
April 5, 2017 · 00:54:17
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 an emphasis on making the right informationContinue reading...