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Cloud Engineering – Software Engineering Daily
By Cloud Engineering – Software Engineering Daily
About this podcast
Technical interviews about software topics.
Episodes (Total: 108)
Aug. 30, 2017 · 00:53:59
Sensors are being attached to trains, lightposts, and all kinds of factory equipment. Industrial machinery gives off high volumes of data that can be captured, stored, and processed with machine learning in order to improve workflows and ensure safety. Jayson Delancey works at GE, which is building tools and systems to manage large IoT deployments. The full stack for enterprise IoT involves tools for managing thousands of sensors; databases forContinue reading...
Aug. 28, 2017 · 01:01:04
Applications built in the cloud are often serving requests from all around the world. A user in Hong Kong could have written to a database entry at the moment just before a user in San Francisco and a user in Germany simultaneously try to read from that database. If the user in San Francisco is allowed to see a different database entry than the user in Germany, that database isContinue reading...
Aug. 18, 2017 · 00:58:04
When a user experiences an error in an application, the engineers who are building that application need to find out why that error occurred. The root cause of that error may be on the user’s device, or within a piece of server-side logic, or hidden behind a black box API. To fix a complex error, we need a stack trace of contextual information so that we can correlate events acrossContinue reading...
Aug. 14, 2017 · 00:59:10
Facebook was rapidly outgrowing its infrastructure in 2009. Classic data center design was not up to the task of the rapid influx of new users and data, photos and streaming video hitting Facebook’s servers. A small team of engineers spent the next two years designing a data center from the ground up to be cheaper, more energy efficient, and more ergonomic for the engineers who worked within. That data centerContinue reading...
Aug. 8, 2017 · 01:01:08
The Internet of Things is the concept that traditionally analog objects, like thermostats and lightbulbs, can be given digital guts and connected to the internet to create more value for users. From Nest thermostats to Phillips Hue lightbulbs, these connected things are starting to enter the mainstream. According to recent estimates by Gartner, over eight billion connected “Things” will be in use in 2017, with that number ballooning to overContinue reading...
Aug. 7, 2017 · 01:02:10
Serverless computing reduces the cost of using the cloud. Serverless also makes it easy to scale applications. The downside: building serverless apps requires some mindset shift. Serverless functions are deployed to transient units of computation that are spun up on demand. This is in contrast to the typical model of application delivery–the deployment of an application to a server or a container that stays running until you shut it down.Continue reading...
Aug. 4, 2017 · 00:57:56
After raising $18 million, social networking startup Yubl made a series of costly mistakes. Yubl hired an army of expensive contractors to build out its iOS and Android apps. Drama at the executive level hurt morale for the full-time employees. Most problematic, the company was bleeding cash due to a massive over-investment in cloud services. This was the environment in which Yan Cui joined Yubl. The startup did have traction.Continue reading...
Aug. 2, 2017 · 00:56:24
Continuous delivery is a model for deploying small, frequent changes to an application. In a continuous delivery workflow, code changes that are pushed to a repository set off a build process that spins up a new version of the application. Testing is performed against that new build before advancing it to production, merging it with the existing codebase. Many continuous delivery products are getting built today because it is aContinue reading...
July 27, 2017 · 00:53:33
A decade ago, a Microsoft developer might have been defined by the fact that they built C# applications on Windows. Today, a Microsoft developer is just as likely to be writing JavaScript for Linux. The company has repositioned itself to focus on cloud services, SaaS products, and enterprise artificial intelligence. Jason Young and Carl Schweitzer host the MS Dev Show, a popular podcast about Microsoft developers and technologies. On theirContinue reading...
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...
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