Introduction In this series of posts about generics in Go, I will present code and teach to the different aspects of the current generics draft. I will provide code links with the go2go playground so you can experiment with the different examples. The code samples will also be available in the Go training repo, but these examples are subject to change as I learn more or the draft changes.
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Series Index Python and Go: Part 1 - gRPC Introduction In the previous post we saw how a Go service can call a Python service using gRPC. Using gRPC to connect a Go and Python program together can be a great choice, but there’s a complexity price that goes with it. You need to manage one more service, deployment becomes more complex, and you need monitoring plus alerting for each service.
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Introduction In this paper written by Manish Jain (the founder of Dgraph) he describes Dgraph as: a distributed graph database which provides horizontal scalability, distributed cluster-wide ACID transactions, low-latency arbitrary-depth joins, synchronous replication, high availability, and crash resilience. There are many claims being stated here which frankly I didn’t understand the meaning of the first time I read this sentence. I decided I wanted to better understand these claims with the hope that it would help me understand Dgraph’s architecture and engineering decisions better.
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Series Index Python and Go: Part 2 - Extending Python With Go Introduction Like tools, programming languages tend to solve problems they are designed to. You can use a knife to tighten a screw, but it’s better to use a screwdriver. Plus there is less chance of you getting hurt in the process. The Go programming language shines when writing high throughput services, and Python shines when used for data science.
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Introduction In most of the reviews for this post, I was asked why choose a graph database over something else? This is a hard question to answer since my experience right now is limited on the graph database side. My guess is you’re wondering the same thing, so this is my best answer to date. At this point in my career, I would only choose a relational database if I was writing financial software.
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Introduction I have spent a career building business applications that work with databases, starting with SQL and then moving to No-SQL. I’ve been curious how Graph databases work and how to build applications with them. It seems the sweet spot for a Graph database is when your application needs to model the interrelationships of complex and different datasets. I’ve been using No-SQL databases for these types of applications so I am super interested in knowing how Graph databases differ.
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Series Index Why and What Projects, Dependencies and Gopls Minimal Version Selection Mirrors, Checksums and Athens Gopls Improvements Vendoring Introduction It’s no secret that I am a fan of vendoring when it’s reasonable and practical to use it for your application projects. I believe vendoring gives your application projects the most durability since the project owns every line of source code it needs to build the applications. If you want a reproducible build without needing to rely on external services (like module mirrors) and being connected to the network, vendoring is the solution.
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Series Index Why and What Projects, Dependencies and Gopls Minimal Version Selection Mirrors, Checksums and Athens Gopls Improvements Vendoring Prelude This is a guest post written by Rohan Challa, a member of the Go team working on gopls. This document is a follow up to Bill Kennedy’s post on projects, dependencies and gopls. His post showed that gopls did not work well with modules, particularly when adding and removing dependencies from a project inside of your editor.
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Series Index Reducing Image Size Details Specific To Different Languages Going Farther To Reduce Image Size Introduction In the first two parts of this series, we covered the most common methods to optimize Docker image size. We saw how multi-stage builds, combined with Alpine-based images, and sometimes static builds, would generally give us the most dramatic savings. In this last part, we will see how to go even farther. We will talk about standardizing base images, stripping binaries, assets optimization, and other build systems or add-ons like DockerSlim or Bazel, as well as the NixOS distribution.
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Series Index Reducing Image Size Details Specific To Different Languages Going Farther To Reduce Image Size Introduction In the first part, we introduced multi-stage builds, static and dynamic linking, and briefly mentioned Alpine. In this second part, we are going to dive into some details specific to Go. Then we will talk more about Alpine, because it’s worth it; and finally we will see how things play out with other languages like Java, Node, Python, Ruby, and Rust.
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