The InfoQ Podcast

Latest Episodes:

Kolton Andrus on Gremlin’s Newly Announced SaaS Chaos Engineering Product and Running Game Days Dec 22, 2017

Show notes

Gremlin is a Software as a Service that lets you plan, control and undo Chaos engineering experiments built by engineers with experience from Netflix, AWS, Dropbox and others. In this podcast Wes talks to Kolton Andrus about the Gremlin product and architecture and related topics such as running Game Days. You can also subscribe to the InfoQ newsletter to receive weekly updates on the hottest topics from professional software development. bit.ly/24x3IVq Subscribe: www.youtube.com/infoq Like InfoQ on Facebook: bit.ly/2jmlyG8 Follow on Twitter: twitter.com/InfoQ Follow on LinkedIn: www.linkedin.com/company/infoq

Fast Data with Dean Wampler Dec 08, 2017

Show notes

In this podcast, Deam Wampler discusses fast data, streaming, microservices, and the paradox of choice when it comes to the options available today building data pipelines. Why listen to this podcast: * Apache Beam is fast becoming the de-facto standard API for stream processing * Spark is great for batch processing, but Flink is tackling the low-latency streaming processing market * Avoid running blocking REST calls from within a stream processing system - have them asynchronously launched and communicate over Kafka queues * Visibility into telemetry of streaming processing systems is still a new field and under active development * Running the fast data platform is easily launched on an existing or new Mesosphere DC/OS runtime More on this: Quick scan our curated show notes on InfoQ http://bit.ly/2BYTMbI You can also subscribe to the InfoQ newsletter to receive weekly updates on the hottest topics from professional software development. bit.ly/24x3IVq Subscribe: www.youtube.com/infoq Like InfoQ on Facebook: bit.ly/2jmlyG8 Follow on Twitter: twitter.com/InfoQ Follow on LinkedIn: www.linkedin.com/company/infoq Want to see extented shownotes? Check the landing page on InfoQ: http://bit.ly/2BYTMbI

Changhoon Kim on Programmable Networking Switches with PISA and the P4 DSL Nov 27, 2017

Show notes

In this podcast, Werner Schuster talks to Changhoon Kim, who is a Director of System Architecture at Barefoot Networks, and is actively working for the P4 language consortium. They talk about the new PISA (protocol independence switch architecture) which promises multi-terabit switching, and P4, a domain-specific programming language designed for networking. You can subscribe to the InfoQ newsletter to receive weekly updates on the hottest topics from professional software development. bit.ly/24x3IVq Subscribe: www.youtube.com/infoq Like InfoQ on Facebook: bit.ly/2jmlyG8 Follow on Twitter: twitter.com/InfoQ Follow on LinkedIn: www.linkedin.com/company/infoq

Apache Beam Founder Tyler Akidau Discusses Streaming System and Their Complexities Nov 09, 2017

Show notes

In this podcast, we are talking to Tyler Akidau, a senior engineer at Google, who leads the technical infrastructure and data processing teams in Seattle, and a founding member of the Apache Beam PMC and a passionate voice in the streaming space. This podcast will cover data streaming and the 2015 DataFlow Model streaming paper [http://www.vldb.org/pvldb/vol8/p1792-Akidau.pdf] and much of the concepts covered, such as why dealing with out-of-order data is important, event time versus processing time, windowing approaches, and finally preview the track he is hosting at QConf SF next week. Why listen to this podcast: - Batch processing and streaming aren’t two incompatible things; they are a function of different windowing options. - Event time and processing time are two different concepts, and may be out of step with each other. - Completeness is knowing that you have processed all the events for a particular window. - Windowing choice can be answered from the what, when, where, how questions. - Unbounded versus bounded data is a better dimension than stream or batch processing. More on this: Quick scan our curated show notes on InfoQ http://bit.ly/2AyBTAb You can also subscribe to the InfoQ newsletter to receive weekly updates on the hottest topics from professional software development. bit.ly/24x3IVq Subscribe: www.youtube.com/infoq Like InfoQ on Facebook: bit.ly/2jmlyG8 Follow on Twitter: twitter.com/InfoQ Follow on LinkedIn: www.linkedin.com/company/infoq Want to see extented shownotes? Check the landing page on InfoQ: http://bit.ly/2AyBTAb

Guy Podjarny on OSS Security, Serverless, and the Equifax Hack Oct 30, 2017

Show notes

In this podcast, Wes talks to Guy Podjarny (Founder/CEO Synk). The two discuss the space between open source software and third-party dependencies, including a discussion of the Equifax hack (and what we can learn from it), the role of serverless architectures today (and what it means to application surface area), and then finally they wrap with security hygiene best practices with OSS and serverless. Why listen to this podcast: - The majority of security vulnerabilities that exist in applications today comes from vulnerable third-party libraries, rather than the application’s own code. - An application shouldn’t permit total leak of all data because of a single vulnerability - defence in depth is important. - Equifax couldn’t have failed more spectacularly in the way they handled it. - The Equifax hack serves as a wake-up call to pay attention to vulnerabilities in dependencies. - If your build system breaks the build when a dependency vulnerability is found automatically, it will be applied sooner. More on this: Quick scan our curated show notes on InfoQ http://bit.ly/2ziAIat You can also subscribe to the InfoQ newsletter to receive weekly updates on the hottest topics from professional software development. bit.ly/24x3IVq Subscribe: www.youtube.com/infoq Like InfoQ on Facebook: bit.ly/2jmlyG8 Follow on Twitter: twitter.com/InfoQ Follow on LinkedIn: www.linkedin.com/company/infoq Want to see extented shownotes? Check the landing page on InfoQ: http://bit.ly/2ziAIat

Julien Viet on the Newly Released Eclipse Vert.x 3.5.0 and Plans for Vert.x 4.0 Oct 23, 2017

Show notes

In this podcast, QCon Chair Wesley Reisz talks to Julien Viet. Viet is the project lead for Vert.x and a principal engineer at RedHat having taken over as project lead for Vert.x from Tim Fox in January 2016. They talk about the newly released Vert.x 3.5.0, and the plans for Vert.x 4.0. Why listen to this podcast: * Vert.x adds RxJava2 support for streams and backpressure. * Vert.x is a polyglot set of APIs, custom aligned for the specific language. * It is unopinionated and can be used with any environments, since it doesn’t enforce a particular framework. * Verticles communicate in-VM or through peer-to-peer networking for distributed applications. * Vert.x 4.0 is on the roadmap for the future. More on this: Quick scan our curated show notes on InfoQ http://bit.ly/2z0BEQR You can also subscribe to the InfoQ newsletter to receive weekly updates on the hottest topics from professional software development. bit.ly/24x3IVq Subscribe: www.youtube.com/infoq Like InfoQ on Facebook: bit.ly/2jmlyG8 Follow on Twitter: twitter.com/InfoQ Follow on LinkedIn: www.linkedin.com/company/infoq Want to see extented shownotes? Check the landing page on InfoQ: http://bit.ly/2z0BEQR

Incident Response Across Non-Software Industries with Emil Stolarsky Oct 15, 2017

Show notes

What can software learn from industries like aerospace, transportation, or even retail during national disasters? This week’s podcast is with Emil Stolarsky and was recorded live after his talk on the subject at Strangeloop 2017. Interesting points from the podcast include several stories from Emil’s research, including the origin of the checklist, how Walmart pushed decision making down to the store level in a national disaster, and where the formalized conversation structure onboard aircraft originated. The podcast mentions several resources you can turn to if you want to learn more and wraps with some of the ways this research is affecting incident response at Shopify. Why listen to this podcast: * Existing industries like aerospace have built a working history of how to resolve issues; it can be applicable to software issues as well. * Crew Resource Management helps teams work together and take ownership of problems that they can solve, instead of a command-and-control mandated structure. * Checklists are automation for the brain. * Delegating authority to resolve system outages removes bottlenecks in processes that would otherwise need managerial sign off. * When designing an alerting system, make sure it doesn’t flood with irrelevant alerts and that there’s clear observability to what is going wrong. More on this: Quick scan our curated show notes on InfoQ http://bit.ly/2zmCsfR You can also subscribe to the InfoQ newsletter to receive weekly updates on the hottest topics from professional software development. bit.ly/24x3IVq Subscribe: www.youtube.com/infoq Like InfoQ on Facebook: bit.ly/2jmlyG8 Follow on Twitter: twitter.com/InfoQ Follow on LinkedIn: www.linkedin.com/company/infoq Want to see extented shownotes? Check the landing page on InfoQ: http://bit.ly/2zmCsfR

Charity Majors on Honeycomb.io, the Social Side of Debugging and Testing in Production Oct 07, 2017

Show notes

In this podcast, recorded live at Strange Loop 2017, Wes talks to Charity, cofounder and CEO of honeycomb.io. They discuss the social side of debugging and her Strange Loop talk “Observability for Emerging Infra: What got you Here Won't get you There”. Other topics include advice for testing in production, shadowing and splitting traffic, and sampling and aggregation. Why listen to this podcast: - Statistical sampling allows for collecting more detailed information while storing less data, and can be tuned for different event types. - Testing in production is possible with canaries, shadowing requests, and feature switches - Pulling data out of systems is just noise - it becomes valuable once someone has looked at it and indicates the meaning behind it. - Instrumenting isn’t just about problem detection - it can be used to ask business questions later - You can get 80% of the benefit from 20% of the work in instrumenting the systems. More on this: Quick scan our curated show notes on InfoQ http://bit.ly/2y6OP1b You can also subscribe to the InfoQ newsletter to receive weekly updates on the hottest topics from professional software development. bit.ly/24x3IVq Subscribe: www.youtube.com/infoq Like InfoQ on Facebook: bit.ly/2jmlyG8 Follow on Twitter: twitter.com/InfoQ Follow on LinkedIn: www.linkedin.com/company/infoq Want to see extented shownotes? Check the landing page on InfoQ: http://bit.ly/2y6OP1b

Nora Jones on Establishing, Growing, and Maturing a Chaos Engineering Practice Oct 01, 2017

Show notes

Nora Jones, a senior software engineer on Netflix’ Chaos Team, talks with Wesley Reisz about what Chaos Engineering means today. She covers what it takes to build a practice, how to establish a strategy, defines cost of impact, and covers key technical considerations when leveraging chaos engineering. Why listen to this podcast: - Chaos engineering is a discipline where you formulate hypotheses, perform experiments, and evaluate the results afterwards. - Injecting a bit of failure over time is going to make your system more resilient in the end. - Start with Tier 2 or non-critical services first, and build up success stories to grow chaos further. - As systems become more and more distributed, there becomes a higher need for chaos engineering. - If you’re running your first experiment, get your service owners in a war room and get them to monitor the results of the test as it is running. More on this: Quick scan our curated show notes on InfoQ http://bit.ly/2vJoimw You can also subscribe to the InfoQ newsletter to receive weekly updates on the hottest topics from professional software development. bit.ly/24x3IVq Subscribe: www.youtube.com/infoq Like InfoQ on Facebook: bit.ly/2jmlyG8 Follow on Twitter: twitter.com/InfoQ Follow on LinkedIn: www.linkedin.com/company/infoq Want to see extended shownotes? Check the landing page on InfoQ: http://bit.ly/2vJoimw

Shubha Nabar Discusses Einstein, the Machine Learning System in Salesforce Sep 29, 2017

Show notes

Shubha Nabar is a senior director of data science for Salesforce Einstein. Prior to working for Salesforce, she was a data scientist at LinkedIn and Microsoft. In the podcast she discusses Salesforce Einstein and the problem space that they are trying to solve, explores the differences between enterprise and consumer for machine learning, and then talks about the Optimus Prime Scala library that they use in Salesforce. Why listen to this podcast: * The volume of data, and hardware advances have made it possible to do machine learning to do them a lot faster. * AI is a science of building intelligent software, encompassing many aspects of intelligence that we tend to think of as human. * If you can’t measure something, you can’t fix it. * You have to think about what you can automate, rather than having a human to try and engineer out all those features. * Get feedback on design. Nora Jones, a senior software engineer on Netflix’ Chaos Team, talks with Wesley Reisz about what Chaos Engineering means today. She covers what it takes to build a practice, how to establish a strategy, defines cost of impact, and covers key technical considerations when leveraging chaos engineering. Why listen to this podcast: - Chaos engineering is a discipline where you formulate hypotheses, perform experiments, and evaluate the results afterwards. - Injecting a bit of failure over time is going to make your system more resilient in the end. - Start with Tier 2 or non-critical services first, and build up success stories to grow chaos further. - As systems become more and more distributed, there becomes a higher need for chaos engineering. - If you’re running your first experiment, get your service owners in a war room and get them to monitor the results of the test as it is running. More on this: Quick scan our curated show notes on InfoQ http://bit.ly/2vJoimw You can also subscribe to the InfoQ newsletter to receive weekly updates on the hottest topics from professional software development. bit.ly/24x3IVq Subscribe: www.youtube.com/infoq Like InfoQ on Facebook: bit.ly/2jmlyG8 Follow on Twitter: twitter.com/InfoQ Follow on LinkedIn: www.linkedin.com/company/infoq Want to see extended shownotes? Check the landing page on InfoQ: http://bit.ly/2xK7OxR

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