DevOps Fast Forward with Go

Go is a perfect fit for the DevOps community. Along with some real-world use cases, let’s see the finest features that make it shine in the DevOps world.

Since its inception, Google’s Go programming language (Golang) has been experiencing increasing popularity among mainstream users. Additionally, Go ranks highly among programming languages in terms of expertise and learning preference. HackerEarth’s recent survey ‘HackerEarth Developer Survey’ found that 32% of experienced developers pick Go as the programming language they want to learn, well ahead of Python on 24%.

_Image Credits: _HackerEarth

To give context, the entire DevOps and container ecosystem is built on the back of the Go programming language. Today, countless companies heavily utilize Go and developers these days to learn Go as one of their primary languages.

Both Docker and Kubernetes — two of the most popular open-source projects are both written in Go. Many new DevOps tools coming out these days are completely written in Go, and it is the language most of the DevOps enthusiasts would love to learn.

Go and DevOps go hand in hand

  • Go enables you to write once and run anywhere if you target multi-platform, multi-architecture environments.
  • One of the best things in Golang is the ease of cross-compiling code, allowing us to provide tools for other teams and developers to run them in different environments (laptops, ci/cd servers, docker/k8s, etc.).
  • Go is considered as the best language from a performance perspective. This article on ‘Server-side I/O Performance’ shows how Go stands out in the server-side I/O performance compared to other popular languages.
  • Go is a lightweight programming language. The thing we love most about Go is a single binary for an entire project. Examples include Consul, Terraform, Vault, Prometheus, etc. (They are all DevOps related tools)
  • One of the most prominent features of Go is that Google backs it just like K8s.
  • Big and successful companies use Go and have written a lot about their Golang usage success stories in their engineering blogs.

Go is attractive because of the many features


Go offers great concurrency primitives and hence makes it extremely simple to implement a concurrent system. Go supports concurrency at the language level. The basic unit for this in Go is a go routine. Go routines are lightweight threads of execution. Generating a go routine is very easy, as easy as adding the go keyword before a function.

Strong security built-in:

Go codes are straightforward and simple. Developers don’t have to worry about complicated and hard identifying errors from the vast number of variable types like in more dynamic languages. Golang garbage collector notices which objects are out of scope and cannot be referenced anymore and frees the memory space they consume. This process happens concurrently while a Go program is running and not before or after the program’s execution.

Speed of Compilation:

Go’s compilation and execution speed is much better than other programming languages like Java, Python, etc. Golang is easily parsable without a symbol table. The design of Golang and its compiler was done, keeping the speed of compilation and execution in mind.


Binaries (software artifacts) will be generated for your applications in Go with all the dependencies built-in. It removes the need to install runtimes that are necessary for running any application. This alleviates the task of deploying applications and implementing essential updates across thousands of installations. The big wow factor is Go supports multiple OS and processor architectures.

Testing Support:

Unit testing is right in the Go language itself. It presents a simple mechanism to write the unit tests in parallel with our code. The Go tooling also provides support to understand code coverage by our tests, benchmarking tests, and writing example code used to generate our code documentation.

#golang #go #devops #programming

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DevOps Fast Forward with Go

How to Extend your DevOps Strategy For Success in the Cloud?

DevOps and Cloud computing are joined at the hip, now that fact is well appreciated by the organizations that engaged in SaaS cloud and developed applications in the Cloud. During the COVID crisis period, most of the organizations have started using cloud computing services and implementing a cloud-first strategy to establish their remote operations. Similarly, the extended DevOps strategy will make the development process more agile with automated test cases.

According to the survey in EMEA, IT decision-makers have observed a 129%* improvement in the overall software development process when performing DevOps on the Cloud. This success result was just 81% when practicing only DevOps and 67%* when leveraging Cloud without DevOps. Not only that, but the practice has also made the software predictability better, improve the customer experience as well as speed up software delivery 2.6* times faster.

3 Core Principle to fit DevOps Strategy

If you consider implementing DevOps in concert with the Cloud, then the

below core principle will guide you to utilize the strategy.

  • It is indispensable to follow a continuous process, including all stages from Dev to deploy with the help of auto-provisioning resources of the target platform.
  • The team always keeps an eye on major and minor application changes that can typically appear within a few hours of development to operation. However, the support of unlimited resource provisioning is needed at the stage of deployment.
  • Cloud or hybrid configuration can associate this process, but you must confirm that configuration should support multiple cloud brands like Microsoft, AWS, Google, any public and private cloud models.

Guide to Remold Business with DevOps and Cloud

Companies are now re-inventing themselves to become better at sensing the next big thing their customers need and finding ways with the Cloud based DevOps to get ahead of the competition.

#devops #devops-principles #azure-devops #devops-transformation #good-company #devops-tools #devops-top-story #devops-infrastructure

DevOps Basics: What You Should Know

Once an industry term becomes popular, particularly in technology, it can be difficult to get an accurate definition. Everyone assumes that the basics are common knowledge and moves on. However, if your company has been discussing DevOps, or if you are interested in learning more about it, here are some basics you should know.

What Is DevOps?

DevOps refers to the restructuring of the traditional software application cycle to support Agile development and continuous improvement/continuous delivery. Traditionally, the software was created in large-scale, monolithic bundles. New features and new releases were created in large packages and released in full-scale, infrequent, major deployments.

This structure is no longer effective in the modern business environment. Companies are under increasing pressure to be agile. They must respond rapidly to changes in the business environment to remain competitive. Software development needs to be completely changed as a process so that incremental improvements can be made frequently – ideally, several times per day.

However, changing a development lifecycle completely requires major changes – in people and culture, process, and enabling tooling – to be effective. DevOps was created by the breaking down of cycles between development and operations, combining two separate functions in application development. These changes intend to support agile, secure, continuous improvements, and frequent releases.

#devops #devops adoption #devops benefits #q& #a #devops goals #devops migration #devops questions

Fannie  Zemlak

Fannie Zemlak


What's new in the go 1.15

Go announced Go 1.15 version on 11 Aug 2020. Highlighted updates and features include Substantial improvements to the Go linker, Improved allocation for small objects at high core counts, X.509 CommonName deprecation, GOPROXY supports skipping proxies that return errors, New embedded tzdata package, Several Core Library improvements and more.

As Go promise for maintaining backward compatibility. After upgrading to the latest Go 1.15 version, almost all existing Golang applications or programs continue to compile and run as older Golang version.

#go #golang #go 1.15 #go features #go improvement #go package #go new features

Houston  Sipes

Houston Sipes


Measuring DevOps Metrics: A How-To Guide

DevOps is supposed to help streamline the process of taking code changes and getting them to production for users to enjoy. But what exactly does it mean for the process to be “streamlined”? One way to answer this is to start measuring metrics.

Why metrics are important to track

Metrics give us a way to make sure our quality stays the same over time because we have numbers and key identifiers to compare against. Without any metrics being measured, you don’t have a way to measure improvements or regressions. You just have to react to them as they come up.

When you know the indicators that show what condition your system is in, it lets you catch issues faster than if you don’t have a steady-state to compare to. This also helps when you get ready for system upgrades. You’ll be able to give more accurate estimates of the number of resources your systems use.

After you’ve recorded some key metrics for a while, you’ll start noticing places you could improve your application or ways you can reallocate resources to where they are needed more. Knowing the normal operating state of your system’s pipeline is crucial and it takes time to set up a monitoring tool.

The main thing is that you decide to watch some metrics to get an idea of what’s going on when you start the deploy process. In the beginning, it might seem hard to figure out what the best metrics for a pipeline are.

Figuring out which metrics are important to you

You can conduct chaos engineering experiments to test different conditions and learn more about which metrics are the most important to your system. You can look at things like, time from build to deploy, number of bugs that get caught in different phases of the pipeline, and build size.

Thinking about what you should measure can be one of the harder parts of the effectiveness of the metrics you choose. When you’re considering metrics, look at what the most important results of your pipeline are.

Do you need your app to get through the process as quickly as possible, regardless of errors? Can you figure out why that sporadic issue keeps stopping the deploy process? What’s blocking you from getting your changes to production with confidence?

That’s how you’re going to find those key metrics quickly. Running experiments and looking at common deploy problems will show you what’s important early on. This is one of the ways you can make sure that your metrics are relevant.

#devops #devops-principles #devops-tools #devops-challenges #devops-adoption-challenges #devops-adoption #continuous-deployment #continuous-integration

Humberto  Ratke

Humberto Ratke


What is DevOps Lifecycle? | How to manage yours

From conceptualization to deployment, the process of developing software applications or web applications is complex. By going through several intricate phases of development, a web application or software is tested on multiple levels before being proceeded into production.

In most cases, software application development becomes time-consuming due to its specifications and complexities. In order to deliver the application in a short span of time, software developers are following a universal set of practices called the DevOps lifecycle.

So, what is DevOps in the world of software application development? Let’s deep dive into its meaning, uses, as well as each critical phase in the DevOps lifecycle.

#devops #devops tutorial #devops lifecycle tools #devops lifecycle blocks #devops lifecycle phases #lifecycle of devops