Diego Pacheco Tech blog

Go lang is a cool language to build services. Several DevOps and Infrastructure solutions are built-in go such as Vault, Terraform, Kubernetes, ToxiProxy, Chaos Monkey(CHAP), and many others. Go-Zero is a framework built-in Go that helps us to code microservices in Go. Go-Zero is endorsed by the CNCF foundation. Today I want to share with you a video and POC demonstrating how easy to get started with Go-Zero based microservices written in Go. 

GraphQL it's an interesting approach for Data Aggregation. GraphQL is a query language API for existing data. You can leverage all your REST APIs and existing data sources. GraphQL it's mobile-friendly and you can ask literally just the fields you need. GraphQL also allows you to share queries and there are clients for pretty much all languages. GraphQL allows you multiplex and de-multiplex multiple requests in one, being really great for tail latency and nice for data-intensive applications. However, not everything in graphql is flowers and I dont want to paint a rosy picture. There are issues and tradeoffs you need to take into account. I highly recommend you read these 3 series of posts I made comparisons with other approaches like BFs. BFF and GraphQL Dilemma part 1 , part 2 , and part 3 . Today I want to share a video I made where there is a GraphQL Server written in Java and we have 2 clients one Written in Go Lang and the other written in Rust. So Let's get started....

Languages have trade-offs like any solution in tech. Microservices are great for many reasons, one of them allows the best tool for the job. Kubernetes allows us to have the same operational standards and procedures even using different languages and solutions. For this blog post, I want to show a simple project I build which is a constellation of services. There are 5 microservices, written in several languages like Scala, Java, Go, Python and Rust. The services do a pretty basic math operation like (+, - , / , *) and the Scala one does the aggregation and orchestrate the other services using a polish notation algorithm and REST calls.

Kind - Allow us to run Kubernetes in Docker. This is not a production-ready solution - however, has a lot of potential in order to make a safe and lightweight alternative option to Minikube.  Kind is built with Go and uses Docker API in order to get things spinning. I got impressed with the speed thing runs with kind, this is an interesting alternative together with k3s and Minikube .

Cassandra is a kick-ass NoSQL database. Battle tested by Netflix, Apple, Uber and so many great cloud scale companies. If you want to run Cassandra in production you need to buy DataStax Enterprise or engineer your own solution - since Cassandra community is not enough. My company loves open source and my customers love open as well so we decided to build our own Cassandra orchestrator for a lack of better name we called it CM(Cassandra Manager).  CM runs on AWS(Ec2) and managed single and multi-region clusters for Cassandra. CM has java interfaces so even today it just runs on AWS it could easily be ported to in containers or other fabric runtimes, which may happen on the long-term future. So it might sound crazy when you think about to build engineering around Cassandra but is actually not several companies in Silicon Valey like Netflix and outside of the valley do similar things or Databases being NoSQL or Relational. Automation is must if you want to scale, a...

Go is a great language for writing tooling. It's very easy to produce a self-contained binary in go which makes very easy to distributed tools written in go. Today I want to show how easy is to write a simple REPL in Go. REPLs are quite popular in Functional Programming community like Scala, Clojure, and Haskell. Today even Java has a REPL :-). Cassandra has interesting REPL called CQLSH  which allow local and remote connections. Currently, I'm thinking to write REPLs for some things I´m working with. REPLs are great for productivity and context. No to mention the could reduce and simplify discovery and troubleshooting. You might be thinking Gosh to write a REPL is tough we need to have parsers, print things nicely with colors, use tab completion, remember all previous commands. and one and on... I'm a full fledge REPL might require more work however a basic and simple version is something we can do in less them 5 minutes so I won't be doing any complicated parser or...

Go lang is a very interesting language. Github already is the central hub for the open source on the Internet. Companys have lots of repositories and it's very hard to catch up nowadays. So I build a simple silly tool in Go in order to fetch all repositories a company might have and they compare with the previous fetch and see if there are new repositories.  Thanks to GO elegance I was able to do that with less than 200 lines of code. In order to do what we need to do, we will use some basic functionality in Go such as IO, Http Calls, JSON support for Structs, Slices, Maps, Error Handling(Which is the sucking part) and a bit of logic. This program can fail since I'm not using a proper TOKEN for github so you will HIT the github Throttling limits pretty quickly if you keep running the program. You can create a proper DEV account and fix the code to use your token or you can schedule the program to run in different times in your crontab. This is not production ready, bu...

Go is a very simple and powerful language. I like Go.Go performance is amazing. I don't like that Go don't have proper Generics and Exceptions but besides that is all great. Go is great for DevOps because go generate a simple binary that is executable and this is really awesome. Today I want to show to build a simple counter service using Go, Gorilla/Mux and Docker. Gorilla/Mux is a simple HTTP Router for Go. Using native JSON support from Go + Mux you can build some simple and yet powerful services. We will use sync/atomic in order to make sure if we have a code that is threadsafe.  You will need to have Go and Docker installed in your machine.  We will use Go language version 1.10 and latest Gorilla/Mux. Let's get started! The Dockerfile Here we are using Go 1.10 docker image as the image. We are using to get in order to install gorilla/mux. Now we can build the docker image. We just need to run the command: $  docker run diegopacheco/go-cou...

Go is a simple, fast and powerful programing language. Go is growing a lot into the DevOps Engineering scene like Hashicorp Stack or even Kubernetes .  One of the main advantages of GO is the fact that you can generate a single binary with all you needed, bundled in a single file. This makes distribution so much easier. Go is also very compact for some use cases and you can write so less code and still very very efficient and get best of performance.  Today we will see how to create a very, very, very simple service in go. This service will access redis to increment how many times it was called.  We will use Minikube in order to run kubernetes locally and we will store our data in Redis.

Go Lang is growing a lot.  It`s a C on Steroids language. You have great performance and also some nice features that are built in on the language. In this post i will show how to install and configure GO on Amazon Linux / CentOS based. Go has Closures, so you can have performance and still do some kind of functional programming.  There are lots of infrastructures tools being built on Go as well.  Besides go have great multi-core support and async mechanisms. Lots of great infrastructure solutions use go like Docker, CoreOS, HarishCorp solutions.  Le`ts see how install and configure it on Amazon Linux(AWS Cloud). Go on Linux Cheers, Diego Pacheco