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?

In this blog, I will speak about “How to throw exceptions inside Logic Apps using default capabilities”. Let’s get started!

Today I will speak about another useful Best practice, Tips, and Tricks that you must consider while designing your business processes (Logic Apps): How to embed HTML images into your email using Logic App Designer.

When your organization has started to adopt Azure, the continuously increasing number of Azure resources throughout all your Development, Test, and Production subscriptions make it hard to keep on top of the health of all those resources. So, it is important to have proactive Azure resource monitoring to know when something unexpected happens.

Today I will speak about another important Best practice, Tips, and Tricks that you must consider while designing your business processes (Logic Apps): How to call asynchronous child Logic Apps.

CloudCheckr is a SaaS application that helps bring visibility and intelligence to help you lower cloud costs, maintain security and compliance, and optimize resources. The platform supports managing costs between cloud providers like AWS and Azure. This article explores the features and benefits of CloudCheckr in Azure.

Storage is vital to any software used to solve a business problem. This is because the data must be preserved or stored in any storage before/after/during the processing of data in software. The storage account is an Azure storage offering to store data in different forms based on the requirements. This article discusses Azure Storage cost optimization and how Serverless360 helps focuses on optimizing the cost spent on Azure storage accounts.

The emergence of cloud computing has led to the rise of independently deployable components that increase the availability of the application. As many organizations move their infrastructure to the cloud, it becomes essential for them to have an Azure VM monitoring tool to process, store, scale, and maintain their applications.

In big data, relational, non-relational, and other storage technologies are frequently used to store raw, disorganized data. Yet, raw data alone lacks the context or meaning to offer analysts, data scientists, or business decision-makers actionable insights. To transform these massive stores of raw data into usable business insights, big data requires a service that can orchestrate and operationalize processes.

Azure App Service is a platform-as-a-service (PaaS) offering from Microsoft Azure that allows developers to efficiently build, deploy, and scale web applications and APIs. It provides a fully managed environment for hosting web applications and APIs, supporting multiple languages and frameworks, such as.NET, Node.js, Python, Java, and more. Microsoft Azure presents many challenges when making an application highly accessible.