AIR GO is an app vulnerability scanning service for finding vulnerabilities in Android or iOS app package files (apk or ipa). AIR GO is somewhat similar to SandDroid, an open source project. Recently, LINE has been using AIR GO to check LINE apps for vulnerabilities before they are released, to provide secure services to LINE users. Anyone can access AIR GO simply by registering their email address. Actually, AIR GO had been introduced on the LINE website previously; today, I’d like to discuss about it in more of a developer’s point of view.
How it all began
These days, my main tasks as a member of Slack management team, are making and operating slack bots at LINE. One day, we got a request to combine the bots we use into a single bot, for the following reasons:
- Inviting numerous bots into a chat is a fuss.
- Knowing all the bots available is difficult.
- Adding more functions to a single bot is better than adding more bots.
Hi, I am Okada(@ocadaruma), a member of the LINE Ads Platform team. I’ve been interested in Go’s GC (Garbage Collection or Garbage Collector) for a while, which got me even to write a post about it. Go is a programming language developed by Google and supports garbage collection. Go also supports concurrency through channels. Many companies, including Google, are using Go, and LINE also uses Go for developing tools and services.
Using Go, you can easily develop low-latency applications. Go GC seems much simpler than the runtime of other languages. As of Go 1.10, the garbage collector for Go is the Concurrent Mask & Sweep (CMS) collector which does not compact and is not generational. This is nothing like JVM.
This is Keiji Yoshida, a data engineer from LINE Data Labs. From 2017, our team has been working on building and providing a system where any Liner could access data of services they are involved in.
Have you heard of LINE Data Labs?
LINE Data Labs is a team supporting LINE services, with data; we expertise in collecting, processing, aggregating and analyzing data for each LINE service and provide our result to service members. About 50 members consisting of machine learning engineers, data scientist, data designers and data engineers work together to collect and aggregate data and provide BI (Business Intelligence) and reporting service for visualization. We help service stakeholders to make decision with analyzed data and continually seek ways to help them such as applying machine learning to services and so on.
Hello again, this is Nishiwaki from Verda 2 team at LINE. In my previous post, I’ve shared a number of sessions about containers that seemed interesting as a session attendee. On this post, I’d like to share our presentation in the summit, Excitingly simple multi-path OpenStack networking: LAG-less, L2-less, yet fully redundant The main topic of our presentation was the architecture of a data network center we were setting up for a new region and Neutron integration. The new architecture was built with enhanced capacity for east-west network traffic. Here are a recording of our presentation and slides for those who couldn’t make it to the conference.
Hello, this is Kyo, a front-end engineer at LINE. I’d like to share my story on AMP Project, Google’s open source project. While you work on markup with AMP HTML, haven’t you ever felt an urge to make a component yourself, or to add a feature to it? I hope my post will give you a little push on your back if you are still hesitating.
This is Myeongjae Lee (MJ), back with our report on running the LINE Security Bug Bounty program from January till June this year. The ‘LINE Security Bug Bounty Program’ aims to provide LINE users the most secure service by fixing potential vulnerabilities in advance, by getting reports from external security researchers.
You probably know MVC. How about MCT?
Model–view–controller is commonly used for developing software that divides an application into three interconnected parts. This is done to separate internal representations of information from the ways information is presented to and accepted from the user. The MVC design pattern decouples these major components allowing for efficient code reuse and parallel development.
In order to take advantage of the benefits MVC provides, you need to implement this clear separation of concerns in your test framework as well. This article describes an approach to test automation inspired by a known development design pattern; that being Model Controller Testsuite (MCT) and describes how it can be adapted to make your automation code more stable and maintainable.