Operations | Monitoring | ITSM | DevOps | Cloud

Azure Data Factory is a cloud-based data integration tool focusing on data extraction, transformation, and loading. A pipeline in Azure Data Factory is a collection of processes that move data to a shared repository, such as a data warehouse. Why it is important to monitor Azure Data Factory pipeline failures?

As we were planning “Cloud Atlas,” our primary goal was to talk with someone who was “in the room” during the genesis of the cloud. Allan Vermeulen, who worked for Amazon from 1999-2021, and who proposed Amazon Simple Storage Service (S3), became that source. Allan is a born engineer. He has always enjoyed building things — whether “out of bits and software or boards and lumber,” Allan takes pleasure in creating useful things.

Our aim, like always, is to help users thrive. We want them to receive real value from all that we deliver through our various features. And it’s equally important to offer flexibility by providing all different ways to use those features. This way, you’re free to use the feature in the way that's most convenient. Driving this vision of ours, well, forward, we have now extended our Logs Forwarding experience from CLI to within the Console.

In your lifetime as a frontend developer that works with React, you must have come across several issues with debugging a containerized React application. I bet you can relate, you’re certainly not alone. Containerization has become an integral part of best practices for software development teams that want to create, test and deploy applications quickly and efficiently. However, despite its advantages, it also comes with new challenges for debugging and troubleshooting applications.

Kubernetes is the container orchestration platform of choice for many teams. In our ongoing efforts to bring the magic experience of Lumigo’s serverless capabilities to the world of containerized applications, we are delighted to share with you the Lumigo Kubernetes operator, a best-in-class operator to automatically trace your applications running on Kubernetes.

In today’s data-driven world, the ability to monitor and track changes to data is essential for organizations across all industries. Azure Blob Storage Change Feed is a powerful feature that helps you keep tabs on your data by providing a log of all changes made to the blobs within your storage account. This article will guide you through understanding and using Azure Blob Storage Change Feed to effectively manage your data.

Azure Block Blobs are an essential part of the Microsoft Azure cloud storage platform. They provide a scalable, secure, and cost-effective solution for storing large amounts of unstructured data, such as images, videos, and text files. In this article, we’ll explore the features, benefits, and use cases of Azure Block Blobs, and how our software, Cloud Storage Manager, can help you manage and optimize your Azure Storage consumption.

Azure Disk Storage is a robust and versatile cloud storage solution provided by Microsoft Azure. It offers high-performance, durable, and scalable storage options for various workloads, such as virtual machines, databases, and business-critical applications. Understanding the key factors impacting costs, best practices, and how to optimize Azure Disk Storage can help users save money and make the most of their cloud storage investment.