YouTube:

https://youtu.be/cZJVH_jtelg

Blog https://www.highlight.io/blog/blog/podcast-ep9-turso-glauber-costa Glauber Costa https://twitter.com/glcst https://turso.tech/ Highlight https://www.highlight.io/ https://twitter.com/thejaykhatri https://twitter.com/chrisesplin https://twitter.com/highlightio

Nimbus helps companies optimize their observability costs, especially when using tools like Datadog. By identifying common log patterns and aggregating similar log entries, Nimbus can reduce the billable data volume by 80-90% without losing any of the underlying observability data. This allows companies to drastically cut their observability costs without sacrificing visibility or insights. Nimbus achieves these savings by sitting in between the customer and their observability vendor, processing and optimizing the data before sending it to the vendor.

Blog http://localhost:4000/blog/podcast-ep7-pipe-co-founder-zain-allarahkia

YouTube:

https://dub.sh/BbjrncD Zain Allarahkia https://twitter.com/zallarak https://za1.co/ Highlight https://www.highlight.io/ https://twitter.com/thejaykhatri https://twitter.com/chrisesplin https://twitter.com/highlightio Channels @highlight-io Summary Zain, Chris, and Jay all broke into software in different ways. Zain and Chris both started in finance and transitioned after the Great Financial Crisis. Jay discovered hackathons in college and became obsessed with building, eventually interning at Google Deep Mind in Britain. Zain started off with lower-level languages, teaching himself methodically with books. Chris taught himself on-the-job, initially automating his job with PHP and gradually transitioning into a software engineering career. 00:00 Cold open 00:54 Introduction 02:53 Programming background 06:49 University experience 13:52 PHP is the ultimate productive language 26:49 New programming tools 32:56 LLMs

Blog https://www.highlight.io/blog/podcast-ep6-otel-with-ben-sigelman

YouTube

https://dub.sh/BbjrncD Ben Sigelman https://twitter.com/el_bhs OpenTelemetry https://opentelemetry.io/ Highlight https://www.highlight.io/ https://twitter.com/thejaykhatri https://twitter.com/highlightio Channels @highlight-io Summary The journey to OpenTelemetry began with the need for a standardized way to collect monitoring data from cloud-native applications. Two open-source projects emerged to address this challenge: OpenTracing and OpenCensus. OpenTracing focused on distributed tracing, tracking requests across complex systems. OpenCensus, on the other hand, offered a wider scope, including tracing alongside metrics collection. In 2019, recognizing the strengths of both projects and the benefits of a unified approach, OpenTracing and OpenCensus merged to form OpenTelemetry. This collaboration brought together their respective communities and fostered a single, well-supported solution for application observability. Today, OpenTelemetry is a thriving project under the Cloud Native Computing Foundation, offering a future-proof path for monitoring the complexities of modern software. 00:00:00:00 Cold open 00:01:32:13 Ben's introduction 00:03:21:23 Social media to Lightstep 00:06:53:11 A hard pivot for Lightstep 00:08:39:22 Starting OTel 00:13:02:09 Early days of OTel 00:15:31:15 Instrumenting Google 00:19:19:10 OTel vs Lightstep 00:24:39:19 Potential improvements 00:30:03:16 Cardinality 00:34:32:09 Outro

Blog https://www.highlight.io/blog/podcast-ep5-replo-with-yuxin-zhu Replo https://www.replo.app/ https://twitter.com/yuxinzoo Highlight https://www.highlight.io/ https://twitter.com/thejaykhatri https://twitter.com/highlightio Channels @highlight-io Summary Replo is a low-code toolkit that integrates with Shopify and allows users to build e-commerce storefronts without hiring developers. Replo focuses on design, analytics, and conversion optimization. Early-stage and mid-market businesses typically benefit the most, with agencies often using Replo to service the end customer. Yuxin and his co-founder Noah started the business by taking on consulting clients. They effectively worked for free to build out Shopify experiences for these design partners, learning what the market needed while they built out their initial product. 00:00 Cold open 01:16 Intro 04:22 Webflow vs Replo 10:31 Replo's early days 17:16 Customer support 21:23 Agencies 26:26 Product complexity 30:27 Monitoring user experience 35:35 Replo community 42:20 Community manager 44:05 Outro

Blog https://www.highlight.io/blog/podcast-ep4-modal-with-erik-bernhardsson Modal https://modal.com/ https://twitter.com/bernhardsson Highlight https://www.highlight.io/ https://twitter.com/thejaykhatri https://twitter.com/highlightio Channels @highlight-io Summary Erik Bernhardsson is the founder of Modal Labs, a serverless compute platform specializing in high-performance workloads running on both CPUs and GPUs. Modal.com focuses on nearly instant code deploys, enabling developers to write locally and run their code on Modal.com's cloud GPUs. Sub-second code deploys enable super fast feedback looks, keeping developers productive throughout their day. 00:00:00 Cold open 01:04:23 Introducing Erik 02:32:01 Modal.com 04:48:20 Data pipeline ecosystem 06:26:19 What modal does 10:20:23 Infrastructure reliability 14:22:20 Startup velocity 15:33:14 Machine learning stack 17:42:19 Serverless fully-integrated into the local stack 19:00:15 Modal's userbase 20:30:00 Building modal 21:48:07 Ultrafast feedback loops 23:52:06 Modal user experience 25:49:13 Arbitrary Python 27:45:06 Software team leadership 28:20:05 Code review not mandated 30:29:20 No meetings or sprints 31:23:20 Interviewing candidates 35:38:21 Dogmatic beliefs 37:31:04 Engineering at Modal 39:05:16 Twitter questions

Blog https://www.highlight.io/blog/podcast-ep3-magic-patterns-with-alex-danilowicz MagicPatterns https://www.magicpatterns.com/ https://twitter.com/teddarific https://twitter.com/alexdanilo99 Highlight https://www.highlight.io/ https://twitter.com/thejaykhatri https://twitter.com/highlightio Channels  @highlight-io   @magicpatterns 00:00 Cold Open 00:16 Intro 00:48 Alex Introduction 02:08 MagicPatterns.com 04:35 How it works 06:35 Developing the AI 10:13 AI will program everything 11:06 Using a component library 12:31 Handling MagicPatterns output 14:39 Twitter 15:22 Generating the components 16:42 Leveraging AI to build AI 18:04 Comparison to other AI tools 19:10 Figma 19:46 GPT store 24:40 Wrap up