Posted by CISA on Mar 28

This is a short episode that outlines the upcoming episodes and interviews, as well as reports on some listener feedback.

This episode mainly outlines the upcoming programming and interviews.

This episode is about compile-time metaprogramming, and specifically, about implementing DSLs via compile-time metaprogramming. Our guest, Laurence Tratt, illustrates the idea with his (research) programming language called Converge.

We started by talking about the importance of a custom syntax for DSL and took a brief look at the definition of DSLs by a chap called Paul Hudak. We then briefly covered the disctinction between internal and external DSLs.

More to the point of this episode, we discussed the concept of compile-time metaprogramming, and the language features necessary to achieve it: in converge, these concepts are called splice, quasi-quote and insertion. We then looked at how the Converge compiler works, and at the additional features that are required to implement DSLs based on the metaprogramming features mentioned above. Using an example, we then walked through how to implement a simple DSL.

Looking at some of the more technical details, we discussed the difference between the parse tree and the abstract syntax tree and at different kinds of parsers - specifically, the Earley parser used by Converge. In multi-stage languages (i.e. languages that execute programs and meta programs) error reporting is important, but non trivial. We discussed how this is done in Converge. We finally looked at how to integrate Converge's expression language into your DSL and how to package DSL definition for later use.

The last segment look at the process of implementing a DSL in converge and about some of the history and practical experience with Converge. Lessons learned from building Converge wrap up the episode.

In this episode, Michael Plöd is interviewed about Object-Relational Mapping technology. He talks about the common concepts, compares the range of different tools that go by this name, and goes into the design and architectural consequences of using an OR mapper.

The majority of hacker attacks (70 %) are directed at weaknesses that are the result of problems in the implementation and/or architecture of the application. This session shows how you can protect your web applications (J2EE or .NET) against these attacks. The session covers lots of practical examples and techniques for attack. Furthermore, it shows strategies for defense, including a "Secure Software Development Lifecycle". A "Live Hacking" demo rounds it out. This is a session recorded live at OOP 2009. SE Radio thanks Bruce, SIGS Datacom and the programme chair, Frances Paulisch, for their great support!

This episode is a discussion with Jim Des Rivieres about APIs: How to design good APIs, the role of the documentation/specification in APIs, API evolution and other relevant topics.

Sven Apel explains why developing software in a feature-oriented manner is so vital for us as software engineers and why objects are simply not enough.

Recording Venue: University of Passau Guest: Sven Apel Host: Stefan In this second episode on Feature-Oriented Software Development (FOSD), Sven Apel gives us an overview of programming language and tool support for FOSD. He introduces the Eclipse-based FeatureIDE which covers important phases of the FOSD process, namely domain implementation as well as configuration and generation. […]

In this episode Michael interviews Jurgen Appelo on the topic of leading agile developers.

Recording Venue: Skype Guest: Grant Ingersoll Grant Ingersoll, founder of the Mahout project, talks with Robert about machine learning.   The conversation begins with an introduction to machine learning and the forces driving the adoption of this technique. Grant explains the three main use cases, similarity metrics, supervised versus unsupervised learning, and the use of large data […]

Recording Venue: Skype Guest: Michael Hunger Michael Hunger of Neo Technology, and a developer on the Neo4J database, joins Robert to discuss graph databases. Graph databases fall within the larger category of NoSQL databases but they are not primarily a solution to problems of scale. They differentiate themselves from RDBMS in offering a data model built […]

Robert talks to Dr. Anil Madhavapeddy of the Cambridge University (UK) Systems research group about the OCaml language and the Mirage cloud operating system, a microkernel written entirely in OCaml. The outline includes: history of the evolution from dedicated servers running a monolithic operating system to virutalized servers based on the Xen hypervisor to micro-kernels; […]

Jeff Meyerson talks to Jun Rao, a software engineer and researcher (formerly of LinkedIn). Jun has spent much of his time researching MapReduce, scalable databases, query processing, and other facets of the data warehouse. For the past three years, he has been a committer to the Apache Kafka project. Jeff and Jun first compare streaming […]

Nathan Marz is the creator of Apache Storm, a real-time streaming application. Storm does for stream processing what Hadoop does for batch processing. The project began when Nathan was working on aggregating Twitter data using a queue-and-worker system he had designed. Many companies use Storm, including Spotify, Yelp, WebMD, and many others. Jeff and Nathan […]

Ben Hindman talks to Jeff Meyerson about Apache Mesos, a distributed systems kernel. Mesos abstracts away many of the hassles of managing a distributed system. Hindman starts with a high-level explanation of Mesos, explaining the problems he encountered trying to run multiple instances of Hadoop against a single data set. He then discusses how Twitter uses Mesos for cluster management. The conversation evolves into a more granular discussion of the abstractions Mesos provides and different ways to leverage those abstractions.

Jeff Meyerson talks with Frances Perry about Apache Beam, a unified batch and stream processing model. Topics include a history of batch and stream processing, from MapReduce to the Lambda Architecture to the more recent Dataflow model, originally defined in a Google paper. Dataflow overcomes the problem of event time skew by using watermarks and other methods discussed between Jeff and Frances. Apache Beam defines a way for users to define their pipelines in a way that is agnostic of the underlying execution engine, similar to how SQL provides a unified language for databases. This seeks to solve the churn and repeated work that has occurred in the rapidly evolving stream processing ecosystem.

Nate Black talks with Jonathan Stark about platforms for mobile development, making decisions about how to develop mobile apps, how to deploy mobile apps, native apps vs. progressive web apps, React Native, and the future of mobile applications.

Edaena Salinas talks with Charlie Berger about Predictive Applications. The discussion begins with an overview of how to build a Predictive Application and the role of Machine Learning. It then explores different Machine Learning algorithms that can be implemented natively in a database.

Founder of Signal Sciences Zane Lackey talks with Kim Carter about Application Security around what our top threats are today, culture, threat modelling, and visibility, and how we can improve our security stature as Software Engineers.

Guest Daniel Corbett discusses how to scale your application with the help of load balancing. Hear details on HAProxy and the load balancing ecosystem as a whole.

Tim Coulter, the founder of Truffle (Ethereum DApp development framework) discusses the Truffle framework for Ethereum SmartContracts and Decentralized App development. Kishore Bhatia spoke with Tim Coulter about: Ethereum Decentralized Apps (DApps)...

Howard Chu, CTO of Symas Corp and chief architect of the OpenLDAP Project, discusses the key technical features of the Lightning Memory-mapped Database (LMDB) that make it one of the fastest, most efficient and safest embedded data stores in the world.

Justin Richer, lead author of the OAuth2 In Action book discusses the key technical features of the OAuth2 authorization protocol and the current best practices for selecting the right parts of it for your use case.

Neil Madden, author of the API Security in Action book discusses the key requirements needed to secure an API, the risks to consider, models to follow and which task is the most important.

WebRTC provides real time video and audio streaming capabilities to applications. Spencer Dixon explains the different parts of WebRTC and how they used it to build a pair programming application.

Abhinav Asthana, a founding partner and CEO of the API development tool Postman, discusses API design and testing, where to start, which types of APIs to offer, what tools you can use, what features to expose and what is his favorite API to reference.

Adar Leiber-Dembo talks to SE Radio’s Akshay Manchale about Apache Kudu, a system for fast analytics in a column-based storage system. They explore how to leverage Kudu for data analytics, as well as its rich feature set and integration options with other SQL and analytical engines.

Sumit Kumar, Head of Engineering at SHARE NOW talks with Jeremy Jung about creating mapping applications in JavaScript using the Leaflet library.

Joe Kutner, Software Architect for Heroku at Salesforce.com, spoke with host Kanchan Shringi about the 12-Factor App methodology, which aids development of modern apps that are portable, scalable, easy to test, and continuously deployable.

Sara Leen discusses localizing, porting, and modernizing Japanese games with Jeremy Jung.

Vladimir Khorikov discusses functional programming in enterprise applications with Jeremy Jung.

Sean Knapp of Ascend.io talks to Robert Blume about data pipeline automation with an orchestration layer.

Sven Schleier and Jeroen Willemsen from the OWASP Mobile Application Security Verification Standard and Testing Guide project discuss mobile application security and how the verification standard and testing guide can be used to improve your app’s...

Matt Lacey, author of the Usability Matters book discusses what mobile app usability is and why it can make or break an app destined for consumers, business users or in-house users and what you can do to make the best app possible.

Julie Lerman discusses Object Relational Mappers and Entity Framework with Jeremy Jung.

Julie Lerman discusses Object Relational Mappers and Entity Framework with Jeremy Jung.

Yi Pan is the lead maintainer of the Apache Samza project and discusses the use cases for stream processing frameworks, how to use them, and the benefits & drawbacks of a framework like Samza.

JP Aumasson, author of Serious Cryptography, discusses cryptography, specifically how encryption and hashing work and underpin many security functions.

Arin Bhowmick, Global Vice President and Chief Design Officer at IBM, discusses why and how UX design for enterprise applications is different than for consumer applications.

Thomas Richter is the founder of Swarm64, a Postgres extension company designed to boost performance of your Postgres instance. This episode examines the internals of Postgres, performance considerations, and relational database types.

Yaniv Tal discusses The Graph’s key features and also explains to user basics of blockchain infrastructure, Ethereum.

Casey Aylward, Principal at Costanoa Ventures discusses Venture capital with a focus on early stage investing from the perspective of the entrepreneur and the VC with host Kanchan Shringi.

Kim Carter of BinaryMist discusses Dynamic Application Security Testing (DAST) and how the OWASP purpleteam project can improve early defect detection. Host Justin spoke with Carter about how DAST can provide meaningful feedback loops to developers...

Dhruba Borthakur, CTO and co-founder of Rockset, discusses the use cases and core requirements of real-time analytics, as well as the evolution from batch to real time and the need for a new architecture with host Kanchan Shringi.

Josef Strzibny the author of Deployment from Scratch discusses how and why it's valuable to learn how to self host applications.

Luis Ceze of OctoML discusses Apache TVM, an open source machine learning model compiler for a variety of different hardware architectures with host Akshay Manchale. Luis talks about the challenges in deploying models on specialized hardware and how TVM.