Tips, Expertise, Articles and Advice from the Pro's for Your Website or Blog to Succeed
Hi,
In an era of Kubernetes and container-based applications, it is very important to know Go Language as well. Go Lang is one of the popular (might be most popular) languages for developing Microservices or Enterprise Applications in Kubernetes or OpenShift. In this article, we will learn how to deploy the Go application in Kubernetes.
Want your Go programs to run faster? Optimizing string comparisons in Go can improve your application’s response time and help scalability. Comparing two strings to see if they’re equal takes processing power, but not all comparisons are the same. In a previous article, we looked at How to compare strings in Go and did some benchmarking. We’re going to expand on that here.
It may seem like a small thing, but as all great optimizers know, it’s the little things that add up. Let’s dig in.
Full-Text Search refers to techniques for searching text content within a document or a collection of documents that hold textual content. A Full-Text search engine examines all the textual content within documents as it tries to match a single search term or several terms, text analysis being a pivotal component.
You’ve probably heard of the most well-known Full-Text Search engine: Lucene with Elasticsearch built on top of it. Couchbase’s Full-Text Search (FTS) Engine is powered by Bleve, and this article will showcase the various ways to analyze text within this engine.
Getting started with Azure Data Explorer using the Go SDK covered how to use the Azure Data Explorer Go SDK to ingest and query data from azure data explorer to ingest and query data. In this blog you will the Azure Go SDK to manage Azure Data Explorer clusters and databases.
Azure Data Explorer (also known as Kusto) is a fast and scalable data exploration service for analyzing large volumes of diverse data from any data source, such as websites, applications, IoT devices, and more. This data can then be used for diagnostics, monitoring, reporting, machine learning, and additional analytics capabilities.
As a Go enthusiast, it's great to see first class support for MongoDB in the form of an official MongoDB Go driver. We will learn how to use it by building a simple REST API for a good old CRUD-style app!
In this blog, will cover the following topics:
Azure Event Hubs is a streaming platform and event ingestion service that can receive and process millions of events per second. In this blog, we are going to cover one of the security aspects related to Azure Event Hubs.
Shared Access Signature (SAS) is a commonly used authentication mechanism for Azure Event Hubs which can be used to enforce granular control over the type of access you want to grant - it works by configuring rules on Event Hubs resources (namespace or topic). However, it is recommended that you use Azure AD credentials (over SAS) whenever possible since it provides similar capabilities without the need to manage SAS tokens or worry about revoking a compromised SAS.
Azure Service Operator is an open source project to help you provision and manage Azure services using Kubernetes. Developers can use it to provision Azure services from any environment, be it Azure, any other cloud provider, or on-premises — Kubernetes is the only common denominator!
It can also be included as a part of CI/CD pipelines to create, use and tear down Azure resources on-demand. Behind the scenes, all the heavy lifting is taken care of by a combination of Custom Resource Definitions which define Azure resources and the corresponding Kubernetes Operator(s) which ensure that the state defined by the Custom Resource Definition is reflected in Azure as well.
This is the second part of my mini-series on how I used the go profiling and built-in benchmarking tools to optimize a naive ray-tracer written in Go. For part 1, click here.
This part takes off directly after part 1.
I want to stretch every dollar that I spend on the cloud. I run a handful of web applications on Heroku, and like everyone else, run a suite of smoke tests and load tests on every release increment in a non-production environment. Load tests are important: they help us not only to understand the limits of our systems but also bring up issues that arise due to concurrency, which often escape the realms of unit tests and integration tests. But since we run the tests often, we don’t want to pay a lot of money every time the tests run.
In this article, I’ll show you how to set up cost-effective load tests. We’ll use Locust to make the testing robust and Heroku to make running the tests easy and cost-effective. I’ll also show how you can use VS Code and Docker for development without installing dev dependencies on your system.
With a near-endless list of Go Modules, it can be overwhelming trying to decide which is best for your Go build. For new Go developers, it can be difficult to pick a winner for your specific use case.
This phenomenon is nothing new. It's one of the reasons why open-source is so important for developers. Oftentimes, when a module is published by a developer, it was likely developed to solve a specific problem that they are facing. If another developer were to use their module to solve the same problem, there may be some performance criteria needed within that module that the current version does not meet. Luckily, there are often many versions to choose from that can solve different use cases.
Golang, also known as “Go,” is a compiled language, fast and high-performance language intended to be simple and is designed to be easy to read and understand. Go was created at Google by Rob Pike, Robert Griesemer, and Ken Thompson, and it first appeared in Nov 2009.
The syntax of Golang is designed to be highly clean and accessible.
Here is a classic “hello world” example code with Golang,
Hey!
As I’ve documented here, I’m documenting my journey in creating content, mostly related to Coding, Architecture, Frameworks but also related to Leadership, Startups, and Product Management, which are topics that I really love and am learning a lot about.
I wanted to try cross-compiling gotop for the Raspberry Pi 4 using my Windows 10 Laptop. It threw me an error (Yikes!):
xxxxxxxxxx
logging_other.go:11:2: undefined: syscall.Dup2
Ever struggle with what to write? No worries, we've got you covered. Here's a list of web development prompts and article ideas to help cure even the worst cases of writer's block. So, take a moment, check out the prompts below, pick one (or more!), and get to writing.
Also, please feel free to comment on this post to bounce around ideas, ask questions, or share which prompt(s) you're working on.
Blockchain is the way of the future. It is not farfetched to think that the future will be built around this emerging technology. Blockchain started off as a public, permissionless technology, and later, another type of blockchain was introduced, each for its own specific set of use cases. Public/permissionless blockchains are open, decentralized, and slow, whereas private/permissioned blockchains are closed and centralized, either partially or completely.
In this article, I am going to discuss what you need to learn in order to start building apps that use blockchain technology. When I first started learning blockchain, a lot of questions popped into my head. What are the different types of blockchains? Which programming languages should I use to program efficiently? And what are the platforms for blockchain development?
I recently gave a talk at GrafanaCon LA, which was heavily inspired by my blog post on . During the talk, I dove into a popular monitoring use case with Sensu, InfluxDB, and Grafana — let's call it the SIG stack. While I got to share some awesome features in Sensu that ultimately allow users to collect, store, and visualize their metrics, the conference was about Grafana, and folks wanted to see dashboards! Now, I'm a Go dev, not a data scientist, so I don't have quick access to large sample sets, and while it's super easy to spin up Sensu in production and start scraping nodes to collect fancy metrics, I wanted something more... and the attendees of GrafanaCon wanted something moar!
Enter StatsD, the OG metric aggregator that — over the years — has become an industry standard. It's a simple and lightweight daemon that can aggregate custom performance data. StatsD client libraries are ubiquitous and available in just about every language, so you can instrument the tooling in your app's native language and send those metrics off to a StatsD server. Fortunately for you, every Sensu agent has an embedded StatsD server that listens for UDP traffic on port 8125. Since UDP is a "fire-and-forget" protocol, it minimizes performance impact and risk when implementing it in your code.
Prior to beginning any project, most development teams go through several meetings to decide the best language for their software. Many times this discussion boils down to Python and Golang. In this Golang vs. Python blog, I'll be comparing the two languages head-on, on various parameters that will help you decide as a developer which language is best suited for you. The parameters of comparison are:
Now let's get started. Before we get around to comparing Golang vs. Python, let me give you a brief introduction to both these languages.
Golang has become one of the most trending languages in the developer community. Go provides the best of both worlds by striking a balance between dynamic and statically compiled languages. The code is easy to read, the specifications are short, and it still includes a built-in web server! Throughout this Golang tutorial, not only will we be covering the reasons that make Go such a fantastic open-source language, we will also go over a majority of its concepts.
Following are the topics that we will cover throughout this Golang tutorial: