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Got NIM?

This article will introduce Nim, a programming language that is said to be more elegant than Python and efficient like C. It is also easily compiled to JavaScript and utilizes user-friendly Tracebacks. Nim is one of the most under-appreciated languages available, and it may be just right for you.

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Architecture & Design

Featured in Architecture & Design

Thomas Wuerthinger on GraalVM and Optimizing Java With Ahead-of-Time Compilation

On this podcast, we're talking to Thomas Wuerthinger, a senior research director at Oracle Labs. Leading programming language implementation teams for Java, JavaScript, Ruby, and R. He is the architect of the Graal compiler and the Truffle self-optimizing runtime.

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AI, ML and Data Engineering

Featured in AI, ML & Data Engineering

Panel: First Steps with Machine Learning

The panelists discuss the first principles to follow when adding ML to a system.

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Culture & Methods

Featured in Culture & Methods

Q&A on the Book Virtual Leadership

The book Virtual Leadership: Practical Strategies for Getting the Best out of Virtual Work and Virtual Teams by Penny Pullan provides suggestions and practices for people working in or with virtual teams. It discusses leadership styles suitable for virtual or remote teams and explores what can be done to improve collaboration and communication, and engage remote participants.

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DevOps

Featured in DevOps

Automatic Clustering at Snowflake

Prasanna Rajaperumal presents Snowflake’s clustering capabilities, including their algorithm for incremental maintenance of approximate clustering of partitioned tables, as well as their infrastructure to perform such maintenance automatically. He also covers some real-world problems they run into and their solutions.

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Intended for architects and senior developers.

Architecture & Design

Ben Sigelman, Co-Creator of Dapper & OpenTracing API, on Observability

Ben Sigelman is the CEO of Lightstep and the author of the Dapper paper that spawned distributed tracing discussions in the software industry. Sigelman discusses with Wes Reisz observability, and his thoughts on logging, metrics, and tracing. The two discuss detection and refinement as the real problem when it comes to diagnosing and troubleshooting incidents with data.

Ben Sigelman
on May 05, 2019

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42:18
Architecture & Design

Pam Selle on Serverless Observability

On this podcast, Pam Selle (an engineer for IOPipe who builds tooling for serverless observability) talks about the case for serverless and the challenges for developing observability solutions. Some of the things discussed on the podcast include tips for creating boundaries between serverless and non-serverless resources and how to think of distributed tracing in serverless environments.

Pam Selle
on Jun 04, 2018

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28:40
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Lyft's Move to Microservices: A Case Study
It’s a challenge to quickly and accurately monitor Lyft’s system as the number of microservices grows, because a distributed architecture generates exponentially more data than its monolithic predecessor. Learn More.

The Only Good Reason to Adopt Microservices
Using microservices is absolutely the right way to scale your engineering organization because you‘re going to ship your org chart, no matter what. To maximize productivity, you need to cut down the communications over-head. That means smaller teams, more scoped work, and more time-boxing. Learn More.

Microservices Broke APM: Why we Need a New Scorecard for Observability
This guide presents an alternative, value-driven approach to independently measuring and grading an observability practice – a new scorecard for observability. Learn More.

Restoring Confidence in Microservices
Ben Sigelman talks about rethinking distributed tracing in terms of the most vital organizational problems that microservices introduced. Watch Now.

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