Daryn Nakhuda

🏎️💨 Making of a Ridiculously Fast™ API client in R. Why my package is **~17x faster** than the community alternatives that call the **exact same API endpoints**. 👇🏽**design choices matter** ✨ https://lnkd.in/ggi_2XyQ

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Saw this post about selective builds for monorepos 🚀 Key benefits: • Faster build times • Reduced resource usage • Improved developer productivity Read the article to see behind the scenes, it's a lot of work! The good news is that Coherence has this built-in and makes it turn-key for you to get going. https://lnkd.in/eWzYbtMg #DevOps #Monorepo #CICD #EfficiencyBoost"

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"I asked 100 devs why they aren’t shipping faster. Here’s what I learned" > QA processes represent the tradeoff between quality and velocity. Developers will often accuse QA of being to “nitty” and adding useless repetition to the dev cycle. Taylor, who has worked at a series of high-growth startups and now runs one, described the QA process like this: >Me creating a test spec for QA. QA finding problems (because QA will always find problems) >Getting list of problems 2 days later >Fixing merge conflicts because more code has shipped since I last pushed. Plus context switching >Back to QA* In the amount of time it takes QA to review code, underlying context might change, making the change more involved. https://lnkd.in/gZ3-TW3a

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One of Zeno Rocha posts changed my perspective on support. He said that support is like a try/catch statement. Users go for the try block first, which includes the product, documentation, and examples. If the try block fails, users move to the catch block. Just like in engineering, the catch block isn't the goal. Truly great support is actually about improving the try block.

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Got an email "GCP's Apache Kafka service is now live" at noon. After dinner, spent half an hour confirming it works well with Timeplus. I don't think you can make the bootstrap server publicly accessible. Has to setup a bastion host or run your app within the same project/VPC. Setting up the SASL username/pwd was not easy. Follow the guide carefully https://lnkd.in/gcKEVh3g and you may need to disable the iam.disableServiceAccountKeyCreation Anyway, if your workload are in GCP already, having such Kafka service in GCP is nice way to burn your cloud credits. Yet another Kafka vendor, great.

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If you are working with Docker... I highly recommend looking at the Slim toolkit. https://lnkd.in/gX_Gb9Kf Why? Slim allows developers to inspect, optimize, and debug their containers using its xray, lint, build, debug, run, images, merge, registry, vulnerability (and other) commands. It simplifies and improves your developer experience building, customizing and using containers. It makes your containers better, smaller and more secure while providing advanced visibility and improved usability working with the original and minified containers. Don't change anything in your container image; minify it by up to 30x to make it secure, too! Optimizing images isn't the only thing it can do, though. It can also help you understand and author better container images. Keep doing what you are doing. No need to change anything. Use the base image you want. Use the package manager you want. Don't worry about hand-optimizing your Dockerfile. You shouldn't have to throw away your tools and your workflow to have small container images. Node.js application images: from ubuntu:14.04 - 432MB => 14MB (minified by 30.85X) from debian:jessie - 406MB => 25.1MB (minified by 16.21X) from node:alpine - 66.7MB => 34.7MB (minified by 1.92X) from node:distroless - 72.7MB => 39.7MB (minified by 1.83X) Go application images: from golang:latest - 700MB => 1.56MB (minified by 448.76X) from ubuntu:14.04 - 531MB => 1.87MB (minified by 284.10X) from golang:alpine - 258MB => 1.56MB (minified by 165.61X) from centos:7 - 615MB => 1.87MB (minified by 329.14X) Rust application images: from rust:1.31 - 2GB => 14MB (minified by 147.16X) Java application images: from ubuntu:14.04 - 743.6 MB => 100.3 MB

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