article thumbnail

Monitoring consumer lag in Azure Event Hub

Xebia

Why Consumer lag is the most important metric to monitor when working with event streams. However, it is not available as a default metric in Azure Insights. The post Monitoring consumer lag in Azure Event Hub appeared first on Xebia Blog. Want to have this metric available as part of your monitoring solution?

Azure 130
article thumbnail

Monitoring consumer lag in Azure Event Hub

Xebia

Consumer lag is the most important metric to monitor when working with event streams. However, it is not available as a default metric in Azure Insights. Consumer lag refers to the number of events that still need to be processed by the consumers of a stream. However, there are a few events that can cause that number to rise.

Azure 130
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Azure DevOps: Getting Started With Audit Streaming With Event Grid

Dzone - DevOps

Streaming of Audit Logs in Azure DevOps Is Available in Public Preview. Auditing logs in Azure DevOps administrator can monitor the changes throughout the DevOps instance.

Azure 88
article thumbnail

Streamline CI/CD with Azure DevOps Toolchains

Datavail

To some minds , the COVID-19 pandemic is unique as the first event with a truly global impact. Microsoft’s Azure DevOps platform has the CI/CD tool chains you need to do just that. The evolving Azure DevOps tool kit that embraces CI/CD development offers solutions to those challenges: The need for extended security.

Azure 83
article thumbnail

Hire a Kubernetes DevOps: Azure & AWS

Mobilunity

Nowadays, Kubernetes is widely used by DevOps, and more companies are in search of a certified Kubernetes application developer. This helps to streamline the development, testing, and deployment of pipelines in DevOps, so K8 is a popular solution among DevOps experts. What Can DevOps Bring to Software Development?

Azure 83
article thumbnail

Mastering Event-Driven Autoscaling in Kubernetes Environments Using KEDA

Dzone - DevOps

This is where Kubernetes-based Event-Driven Autoscaling (KEDA) plays a pivotal role. KEDA is an open-source project that extends Kubernetes capabilities to provide event-driven autoscaling. This makes it an ideal tool for applications that need to scale based on the volume of messages or events they process. What Is KEDA?

Azure 105
article thumbnail

Read Azure Eventhub data to DataFrame – Python

Perficient

Reading Azure EventHub Data into DataFrame using Python in Databricks Azure EventHubs offer a powerful service for processing large amounts of data. In this guide, we’ll explore how to efficiently read data from Azure EventHub and convert it into a DataFrame using Python in Databricks.

Azure 52