The New Stack Podcast

Two decades ago, security was an afterthought; it was often ‘bolted on’ to existing applications that left businesses with a reactive approach to threat visibility and enforcement. But with the proliferation of cloud native applications and businesses employing a work from anywhere model, the traditional approach to security is being reimagined to play an integral role from development through operations. From identifying, assessing, prioritizing, and adapting to risk across the applications, organizations are moving to a full view of their risk posture by employing security across the entire lifecycle.

In this episode of The New Stack Makers podcast, Ratan Tipirneni, President and & CEO, Tigera discusses how organizations can take an active approach to security by bringing zero-trust principles to reduce the application’s attack surface, harness machine learning to combat runtime security risks and enable a continuous compliance while mitigating risks from vulnerabilities and attacks through security policy changes.

Alex Williams, founder and publisher of The New Stack hosted this podcast.

Cloud-native applications provide an advantage in terms of their scalability and velocity. Yet, despite their resiliency, the complexity of these systems has grown as the number of application components continue to increase. Understanding how these components fit together has stretched beyond what can be easily digested, further challenging the ability for organizations to prepare for technical issues that may arise from the system complexities.

Last month, ChaosNative hosted its second annual engineering event, Chaos Carnival where we discussed the principles of chaos engineering and using them to optimize cloud applications in today’s complex IT systems.

The panelists for this discussion:

• Karthik Satchitanand, Co-founder and Open-Source Lead, ChaosNative
• Ramya Ramalinga Moorthy, Industrialization Head - Reliability & Resilience Engineering, LTI – Larsen & Toubro Infotech
• Charlotte Mach, Engineering Manager, Container Solutions
• Nora Jones, Founder and CEO, Jeli

In this episode of The New Stack Makers podcast, Alex Williams, founder and publisher of The New Stack served as the moderator, with the help of Joab Jackson, editor-in-chief of The New Stack.

If there is a secret to the success of TypeScript, it is in the type checking, ensuring that the data flowing through the program is of the correct kind of data. Type checking cuts down on errors, sets the stage for better tooling, and allows developers to map their programs at a higher level. And TypeScript itself, a statically-typed superset of JavaScript, ensures that an army of JavaScript programmers can easily enjoy these advanced programming benefits with a minimal learning curve.

In this latest edition of The New Stack Makers podcast, we spoke with a few of TypeScript's designers and maintainers to learn a bit more about the design of the language: Ryan Cavanaugh, a principal software engineering manager for Microsoft; Luke Hoban, chief technology officer for Pulumi, who was one of original creators of TypeScript, and; Daniel Rosenwasser, Senior Program Manager, Microsoft. TNS editors Darryl Taft and Joab Jackson hosted the discussion.

While Kubernetes brings a great deal of flexibility to application management, the Cloud Foundry platform-as-a-service (PaaS) software offers the best level of standardization, observed Julian Fischer, CEO, of cloud native services provider anynines.

We chatted with Fischer for this latest episode of The New Stack Makers podcast, to learn about the company's experience in managing large-scale deployments of both Kubernetes and Cloud Foundry.

"A lot of the conversation today is about Kubernetes. But the Cloud Foundry ecosystem has been very strong," especially for enterprises, noted Fischer.

Want an easy way to get started in Web3? Download a desktop copy of  IPFS (Interplanetary File System) and install it on your computer, advises Dietrich Ayala, IPFS Ecosystem Growth Engineer, Protocol Labs, in our most recent edition of The New Stack Makers podcast.

We've been hearing a lot of hype about the Web3 and its promise of decentralization — how it will bring the power of the web back to the people, through the use of a blockchain. So what's up with that? How do you build a Web3 stack? What can you build with a Web3 stack? How far along is the community with tooling and ease-of-use?

This virtual panel podcast sets out to answer all these questions.

In addition to speaking to Ayala, we spoke with Rowland Graus, head of product for Agoric, and Marko Baricevic, software engineer for The Interchain Foundation, which manages Cosmos Network. an open source technology to help blockchains interoperate. Each participant describes the role in the Web3 ecosystem where their respective technologies play. These technologies are often used together, so they represent an emerging blockchain stack of sorts.

TNS Editor-in-Chief Joab Jackson hosted the discussion.

Kubernetes, containers, and cloud-native technologies offer organizations the benefits of portability, flexibility and increased developer productivity but the security risks associated with adopting them continue to be a top concern for companies. In the recent State of Kubernetes Security report, 94% of respondents experienced at least one security incident in their Kubernetes environment in the last 12 months. 

In this episode of The New Stack Makers podcast, Avi Shua, CEO and Co-Founder of Orca Security talks about how organizations can enhance the security of their cloud environment by acting on the critical risks such as vulnerabilities, malware and misconfigurations by taking a snapshot of Kubernetes clusters and analyzing them, without the need for an agent. 

As machine learning models proliferate and become sophisticated, deploying them to the cloud becomes increasingly expensive. This challenge of optimizing the model also impacts the scale and requires the flexibility to move the models to different hardware like Graphic Processing Units (GPUs) or Central Processing Units (CPUs) to gain more advantage. The ability to accelerate the deployment of machine learning models to the cloud or edge at scale is shifting the way organizations build next-generation AI models and applications. And being able to optimize these models quickly to save costs and sustain them over time is moving to the forefront for many developers.

In this episode of The New Stack Makers podcast recorded at AWS re:Invent, Luis Ceze, co-founder and CEO of OctoML talks about how to optimize and deploy machine learning models on any hardware, cloud or edge devices.

Alex Williams, founder and publisher of The New Stack hosted this podcast.

The most attractive characteristic of open-source projects is the potential to tap into the total addressable market of collaborators. But when looking for users to your project and building a community around it requires the project to stand out from the millions of others, how do you build a plan to monetize it?

In this podcast, Emily Omier, a positioning consultant who works with startups to stake out the right position in the cloud native / Kubernetes ecosystem, discusses how to grow your project by finding the right market category for your open-source startup.

Alex Williams, founder and publisher of The New Stack hosted this podcast.

There’s no doubt that the cognitive load developers are facing is seemingly endlessly increasing. Microservices and open source have aggravated the situation, where it’s nearly impossible for one developer to get up to speed with any codebase. This makes onboarding extra challenging, and contributes to about two-thirds of tech workers experiencing burnout. CodeSee looks to help developers get up to speed faster by visualizing a codebase in just a few clicks.

Shanea Leven, CEO and founder of CodeSee, sat down with TNS writer, Jennifer Riggins, on this episode of The New Stack Makers podcast to discuss workload complexity, work-life balance, and hiring/retaining best practices within the DevOps community.

Artificial intelligence (AI) and machine learning (ML) have seen a surge in adoption and advances for IT applications, especially for database management, CI/CD support and other functionalities. Robotics, meanwhile, is largely relegated to factory-floor automation. In this The New Stack Makers podcast, Pieter Abbeel, co-founder, president, chief scientist at covariant.ai, a supplier of “universal AI” for robotics, discusses why and how the potential of robotics can evolve beyond just serving as pre-programmed devices thanks to advances in IT. Abbeel also draws on his background to offer his perspective, as a professor at the University of California, Berkeley and a podcast host at The Robot Brains Podcast.

Alex Williams, founder and publisher of The New Stack, hosted this podcast.