Maryam Ashoori, Head of Product for watsonx.ai at IBM, joins Ryan and Eira to talk about the complexity of enterprise AI, the role of governance, the AI skill gap among developers, how AI coding tools impact developer productivity, what chain-of-thought reasoning entails, and what observability and monitoring look like for AI.
On this episode, Ryan chats with Hendrik Rexed, Cloud Native Advocate at Dynatrace, about debugging cloud-based applications like you would a local app.
Is anyone designing software where failures don't have consequences?
Austin Spiegel, CTO and co-founder of Sift, tells Ben and Ryan about his journey from studying film to working at SpaceX to founding Sift.
Ben and Ryan chat with Daniela Miao, cofounder and CTO of Momento, a real-time data platform, about real-time observability, the challenges of multi-tenancy in databases and caching, the use of WebAssembly in UI development, and the benefits of Rust.
Ben and Ryan talk to Rob Skillington, CTO and co-founder of Chronosphere. They talk about how build vs. buy is a false choice, lessons learned from building developer tooling at Uber, and why building developer tools needs more than technical skills.
Computer scientist Jean Yang, founder and CEO of monitoring and observability platform Akita, tells the home team how her drive to improve developer tooling led her from academia to Silicon Valley.
Today, it’s easier than ever for a team to monitor software in production. But it's also easy to build up a lot of tech debt around monitoring.
Most organizations struggle to change their culture or find a formula for success in difficult-to-mature processes. They don't always understand their own systems.
The days of traditional application monitoring are fading. Applications today are no longer a single program, but a network of services connected by API and RPC endpoints across cloud containers that are created and removed as needed.
Your DevOps team might already be singing the praises of their observability platforms. But developers can benefit from them, too.
On this sponsored episode of the Stack Overflow Podcast, we talk with Greg Leffler of Splunk about the keys to instrumenting an observable system and how the OpenTelemetry standard allows you to avoid vendor lock in.
Observability platforms enable you to easily figure out what’s happening with every request and to identify the cause of issues fast. Learning the principles of observability and OpenTelemetry will set you apart from the crowd and provide you with a skill set that will be in increasing demand as more companies perform cloud migrations.
As our applications move from local hardware to a sprawling array of clouds and containers, figuring out how they behave and what's gone wrong is key.
