Operations | Monitoring | ITSM | DevOps | Cloud

Serverless

The latest News and Information on Serverless Monitoring, Management, Development and related cloud technologies.

Real-time distributed tracing for .NET Lambda functions

In 2020 we released distributed tracing for AWS Lambda functions written in Python, Node.js, and Ruby, providing you with health and performance insights across your serverless applications. Since then, we’ve expanded our support to additional Lambda runtimes such as Java and Go, and are pleased to announce that real-time distributed tracing is now also available for.NET Lambda functions.

Running Serverless Applications on Kubernetes with Knative

Kubernetes provides a set of primitives to run resilient, distributed applications. It takes care of scaling and automatic failover for your application and it provides deployment patterns and APIs that allow you to automate resource management and provision new workloads.

Serverless Architecture: Pros, Cons, and Examples

Serverless Computing, or simply serverless, is a hot topic in the current software market. More and more companies are shifting their operations from traditional server-oriented architecture to faster, more modular serverless architecture. The “Big Three” cloud vendors (AWS, GCP, and Microsoft Azure) have shown immense interest in offering the best serverless experience possible. But what exactly is serverless? And how does it work if there is no server at all?

Enhanced monitoring for your Azure Logic App

Implementing a business process can be challenging because you typically need to make various services work together. Think about everything your company uses to store and process data. How do you integrate all these products? Azure Logic Apps gives you pre-built components to connect to hundreds of services. You use a graphical design tool to put the pieces together in any combination you need, and Logic Apps will run your process automatically in the cloud.

What Is Serverless Architecture? + Pros and Cons

Serverless architecture is a bit of a misnomer. The term itself implies your applications aren’t running on any servers, which isn’t the case. Serverless architecture means a cloud provider—such as Google, Amazon Web Services (AWS), or Microsoft Azure—provides and owns the back-end infrastructure, which has its own pros and cons. Serverless architecture is sometimes also referred to as function as a service (FaaS) or serverless computing.

The Hidden Magic Of Extensions

As serverless architectures start to grow, finding the right troubleshooting approach becomes a business-critical aspect. This talk will dive into "the instrumentation approach" - keep track of internal events on the lambda and export processed telemetry data. We should handle legacy code, multiple code owners, and a massive stack of serverless technologies as with any real-life project. Our goal is to write as least code as possible, avoid any existing code changes, be cross-runtime, and leave no latency impact.