Azure Monitor: Collect Logs and Metrics from On-Premises
Reading Time: 5 minutes In this blog we are going to discuss how we can collect logs and metrics from the Azure resource and on-prem infrastructure to the azure monitor
Databricks: Make Log4J Configurable
Reading Time: 3 minutes The goal of this blog is to define the processes to make the log4j configuration file configurable for debugging purpose.
Collecting logs in Azure Databricks
Reading Time: 3 minutes Azure Databricks is an Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services platform. In this blog, we are going to see how we can collect logs from Azure to ALA .Before going further we need to look how to setup spark cluster in azure Create a Spark cluster in Databricks In the Azure portal, go to the Databricks workspace that you created, Continue Reading
Unveiling The Mystery Of Serverless
Reading Time: 2 minutes In this blog, we will explore about Serverless and why it is trending so much? Serverless, is itself a self-explanatory word, means there are no servers. But, is it really true? No, it is not. Serverless does not mean the absence of servers. There are servers actually, it’s just that we don’t have to manage them. All the infrastructure is provided by companies like AWS, Google, Azure Continue Reading
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