Operations | Monitoring | ITSM | DevOps | Cloud

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.

As you may very well know, Kibana currently has almost 20 different visualization types to choose from. This gives you a wide array of options to slice and dice your logs and metrics, and yet there are some cases where you might want to go beyond what is provided in these different visualizations and develop your own kind of visualization.