Dear StackStorm. You have grown up. The time has come for us to part ways. You will continue the life of mature, established open-source project, with growing community. I will step aside, watch with pride your successes, and be always here to help when you need me.

Sometimes developers are hesitant to include logging due to performance concerns, but is this justified? And how much does library choice affect performance? The team at SolarWinds® Loggly® and myself decided to find out. We ran a series of performance tests on some of the most popular Node.js libraries. These tests are designed to show how quickly each library processed logging and the impact on the overall application. Let’s see how they did!

Serverless architectures such as AWS Lambda have created new challenges in debugging code. Without a solid logging framework in place, you could waste hours, or even days, tracking down simple defects in your functions. A strategic logging framework can be a powerful way to track down and resolve bugs. Let’s walk through how to get the most out of logging Lambda functions.

Welcome, Yangstas! (Can I call you folks that? What are Yangstas? YOU! I’m Lisa Yang. Get it?) I’m excited to take you folks on a new type of journey today! But first, go give Setting Up Your PagerDuty for Sweet Victory a quick read if you haven’t read it already, it’ll give you some context around PagerDuty setup on its own.

It’s been some months since we last wrote about Statuspal new features, but that’s not because we haven’t been hard at work, quite the opposite, we have delivered plenty of new features that our customers are already loving, here is a summary of the most important ones.

Database security refers to the various measures organizations take to ensure their databases are protected from internal and external threats. Database security includes protecting the database itself, the data it contains, its database management system, and the various applications that access it. Organizations must secure databases from deliberate attacks such as cyber security threats, as well as the misuse of data and databases from those who can access them.

In the era of cloud-based architectures, companies have implemented multiple cloud platforms but have yet to reap the full benefits. Whether it’s Amazon Web Services (AWS), Google Cloud, or Microsoft Azure (or some combination thereof), a recent Forrester study found that nearly 86 percent of enterprises have incorporated a multi-cloud strategy.

This is the first of a two-part blog series. In this post we’ll use Stackery to configure and deploy a serverless data processing architecture that utilizes AWS Step Functions to coordinate multiple steps within a workflow. In the next post we’ll expand this architecture with additional workflow logic to highlight techniques for increasing resiliency and reliability.

Here is how configMaps can help minimize costly restarts of stateful custom resources in Kubernetes.

The way we build software products changes all the time. Serverless architecture opens up new opportunities to create awesome products faster. Not only that, serverless applications are more scalable, secure and maintainable – all with much less code. Serverless is the future of development and you should get ready for it. But what does it mean to be a serverless developer? What do you need to understand before jumping into the serverless pool?