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Enterprise-Level Azure DevOps Permissions From The Trenches

Xebia

Or how to implement role-based access control (RBAC) in Azure DevOps in enterprise environments and still keep it maintainable. Introduction and key values Assigning permissions to users and groups of users in Azure DevOps in small companies, maybe up to about 25-50 employees is easy and straightforward. It’s not what they’re made for.

Azure 130
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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
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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
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Introducing Cloud NGFW for Azure — On-Prem to Azure, Seamlessly Secure

Palo Alto Networks

That’s why we are excited to launch Cloud NGFW for Azure to strengthen security for applications running on Microsoft Azure while streamlining network security operations. Every day this technology blocks nearly 5 billion events, analyzes 3.5 Visit the Azure Marketplace to start a free 30-day trial of Cloud NGFW for Azure.

Azure 103
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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
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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
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Splunk Goes Azure With Microsoft Partnership

DevOps.com

Splunk announced a strategic partnership with Microsoft to build solutions natively on Azure. Mitch Ashley is live at the.conf event.

Azure 97