Systems | Development | Analytics | API | Testing

Microservices have opened the door for enterprises to become more agile and innovative than ever before, but adopting this new approach has left many teams with microservices "growing pains." Originally intended for use in small teams, microservices have grown well beyond their original use cases and are now leveraged to share important functionality throughout enterprises and even with external partners.

This white paper presents unique insights into the costs, benefits, and complexities associated with anomaly detection systems, including whether it makes more sense for your company to build or to buy, and which will give the best and fastest return on investment.

This eBook compares a monolithic vs microservices architectural approach to application development. It dives into the benefits and challenges of microservices and helps you determine whether a transition to microservices would be right for your organization.

What are profilers? Which is the best? Download our free guide and get all the answers around using a .NET profiler.

An introduction to design principles of creating a machine learning based anomaly detection system.

Part 2: Learning Normal Time Series Behavior

Part 3: Correlating Abnormal Behavior

This ebook explains the role that the service mesh pattern plays in the leap towards de-centralized architectures. A novel re-packaging of the functionalities of traditional API gateways, service mesh represents the next stage in the natural evolution of microservices.