In Part 2: Serverless Scales I briefly touched on how a serverless architecture can have a cost benefit. In this post, I will go over: How to approach and analyze the cost of serverless, Two detailed examples of a cost analysis.

In Part 1: What is Serverless? I talked about how one of the biggest pros to a serverless architecture is how well it scales and how high availability is baked in. In this post I’ll go over: How a traditional highly available scalable architecture works, How a scalable serverless architecture works, How you can benefit from a serverless architecture.

In this post we’ll answer the following questions: What is serverless architecture? (and what it’s not), What are the pros & cons of serverless?

After weeks of development with a lot of brainpower being invested we have finally finished the first stable release of our Graphite integration into Icinga Web 2. The new features include a searchable graphs dashboard, multi-client capability and much more – read on.

Not all websites are the same. From personal blogs to business websites, online shops to community forums, SaaS applications to video streaming services, websites come in all shapes, sizes and flavours. It follows that not all websites have the same uptime requirements. If a personal blog goes down for 20 minutes it might not be a big problem, but the same downtime for a popular online shop could be a major concern.

We are happy to announce the release of Java on Windows in Retrace! This latest Retrace release aims to provide first-class support for monitoring Java web applications and services running on Windows systems.

A wise tech-guy once said, “It all comes down to data and how it is exchanged”. Spot on we’d say! Laptops, hand-held devices, smart TVs, all send and receive data. Apps, websites, and software programs, all function on data. Needless to say, there’s an obvious connection there. The invisible thread between devices and software programs / apps, is the data binding them. It is ‘data’ which enables apps to control devices.

Data is exploding. The shift to digital business is driving a massive expansion in the volume of data that organizations produce, use, and store. It is also accelerating the velocity of data—that is, the data is changing more rapidly than ever before. Which in many ways is great—more data can bring more insight into customers, markets, and opportunities. But more data can also be a problem.