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Panel: Future of Languages

In this panel, these programming languages experts try to find the places where we could probably past each other to try to find common ground.

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Architecture & Design

Featured in Architecture & Design

Obscuring Complexity

One of the most important things that software architects do is manage the complexity of their systems in order to mitigate release disruption while maintaining sufficient feature velocity. When we cannot reduce complexity, we try to hide or shift it. Software architects tend to manage that complexity with the time-honored strategies covered in this article.

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AI, ML and Data Engineering

Featured in AI, ML & Data Engineering

How to Use Open Source Prometheus to Monitor Applications at Scale

In this article, the author discusses how to collect metrics and achieve anomaly detection from streaming data using Prometheus, Apache Kafka and Apache Cassandra technologies.

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Culture & Methods

Featured in Culture & Methods

Power to the People: Unleashing Teams through Liberating Structures

Liberating Structures are a great way for teams to find their voice. They make this happen by asking us to think creatively about the kinds of invitations we are making, and by subverting the normal power dynamics in a meeting. In this article, Greg Myer shares how he is using Liberating Structures at Capital One.

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DevOps

Featured in DevOps

Using Randomized Communication for Robust, Scalable Systems

Jon Currey examines the evolving use of randomized communication within HashiCorp’s Consul, a popular service mesh solution. Along the way he considers how to evaluate academic research for production use, and what to do when real-world deployments go beyond the researchers’ assumptions.

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Intended for architects and senior developers.

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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.

Putting Services First - 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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