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Spring Cloud Stream Processors And Scripted Deployments With Spring Cloud Data Flow

Islands In The Stream. Not just a Country classic, they’re also a fact of life for data streaming apps — sending data in different directions depending on your processing logic. Implementing these forks/splits/channels is easy in Spring Cloud Data Flow for Kubernetes once you know how. Ben Wilcock (@benbravo73) takes you through an example step by step, starting with the code and finishing with the configuration and deployment. All in under 7 minutes!

#ITConnections: Efficient Alert Strategy that Can be Translated to Remote Work

Relevant and timely alerts are a key tool for managing network performance successfully. However, network administrators are often overwhelmed by alerts. Either they receive too many alerts or get notified of ones that aren’t relevant to them. Join us for this #ITConnections session where we will discuss how to increase the efficiency of your alerts management strategy while having a team that is working remotely.

Anodot Tutorial: Monitoring AWS Usage with Machine Learning

A 3-minute guide to help you start monitoring your AWS usage on Anodot's machine learning platform. Once it's up and running, Anodot will continuously monitor your AWS usage and deliver real-time alerts when there's an anomalous spike or drop. This powerful capability enables you to act quickly, far before costs get out of hand.