Developers at Airbnb, BBC, Netflix, and Nike all share something in common: They’re using serverless computing to ship new products and features faster than ever. And they represent a growing trend. As businesses compete to quickly deliver customer value, a whopping 60% of enterprises have already adopted, or are planning to use, serverless architectures.
StatsD is among the most popular monitoring solutions used to instrument code with the help of custom metrics. It has become very popular over the course of the last few years and emerged as the industry standard for open source inside-the-app monitoring. It has a host of advantageous features that makes it perfect for application performance measurements.
Over the past 15 years, application architectures have evolved dramatically, from bare metal servers to virtualization technology, to elastic compute, auto scaling and containers. Recently, we’ve seen another shift to the serverless paradigm, where even the operating system is abstracted from developers and ops teams. Customers want fully-managed compute, but still want to use their existing application development tools and pipelines.
Azure storage has provided companies with a way to store almost limitless amount of data. But just like kids in a candy store this can get out of hand, and expensive. Being able to store as much data as you want is great, however it is something that can grow to a point where you are spending more on storage than you actually need.
The age of rendering most of a web page’s contents on the server and then delivering it as a colossal HTML file is fading into the past. Modern web frameworks like Angular, React, and Vue push towards creating components instead—individual elements on the page that fetch their data in the background and poll for asynchronous updates—which can be reused across your site.
In the Information Age, data is currency. Controlling the flow of information and more importantly, protecting it has increasingly become a focal point for companies who want to remain competitive in modern markets. Improving data efficiency, integrity, and security is often how companies separate themselves from their peers. We present two of the most common methods for data transfers: FTP and SFTP.
At times, directing projects in multiple locales from a desktop or laptop feels like conducting an orchestra in the dark. Coordinating with diverse, remote teams of developers producing software on an agile schedule of continual updates and releases can be especially nerve-wracking. At Sleuth, we’re crushing the remote-work challenge because, in 20 years of managing from afar, we’ve learned a thing or two — actually three — about how to do it right.
HashiCorp’s Terraform has emerged as a powerful tool for managing infrastructure as code. Teams can fully describe an application’s infrastructure needs such as physical machines, VMs, containers and more using configuration files. This allows the application infrastructure to be version controlled, reducing human errors during deployments.
