Operations | Monitoring | ITSM | DevOps | Cloud

Azure Blob storage is a versatile and scalable cloud-based storage solution that allows you to store and manage large amounts of unstructured data. It offers three types of Blobs – Block Blobs, Page Blobs, and Append Blobs – each designed for specific use cases. In this article, we will provide an in-depth exploration of Page Blobs, their features, advantages, use cases, and how you can manage them effectively using Cloud Storage Manager.

In today’s fast-paced world of software development, DevOps professionals strive to provide high-quality and dependable services for their users. An essential aspect of achieving this objective is understanding and effectively managing service level indicators (SLIs), service level objectives (SLOs) and service level agreements (SLAs). These metrics help guarantee that a service meets its performance and reliability targets.

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?

In today's fast-paced and competitive software development landscape, the ability to quickly and efficiently manage development environments is critical to success. This is where Environment as a Service (EaaS) comes in. EaaS is a cloud-based solution that lets developers quickly establish and manage development environments. EaaS simplifies infrastructure management, helping developers work faster and create better apps.

Learn how Qovery helped Flat Mx, a proptech company in Mexico, speed their release cycle and scale their infrastructure efficiently. Initially launched three years ago, Flat Mx combines technology with real estate data and expertise to optimize the property valuation process and automate it. The engineering team at Flat Mx was facing challenges with their monolithic application and needed a more efficient solution for their cloud needs.