This blog is the continuation of the blog “Get the best out of Azure Data Factory – Part 1“. It explains how Serverless360 addresses the pain points and enhances the usage of Azure Data Factory. Serverless360 is a single platform solution that enables Operations and Support Teams to manage and monitor Azure Serverless services more efficiently. Let us have a quick recap of part 1 before looking into new features that Serverless360 provides for Azure Data Factory.

Did you get all the serverless updates from AWS pre- & re:Invent 2021?️ If you’re a serverless enthusiast we’ve collected the most important serverless updates from re:Invent 2021 you need to know about.

AWS Lambda is an incredible tool that works well with an abundance of other services on AWS. In this hands-on walkthrough, we’ll show you how to get started and create your first Node.js AWS Lambda function. Once upon a time, not so long ago, a word caught my ear. Lambda. That struck a chord, remembering the good old days of playing Half-Life as a kid. Little did I know what AWS Lambda was and how incredibly awesome it is. If you’re intrigued, stick around.

When you want to stay ahead and on top of things in a fast-moving industry, machine learning (ML) is surely one of the trending solutions. Today, innovative companies already have leading Machine Learning tools well-integrated into their processes. In comparison, your start could seem dreadfully slow. Or maybe you just don’t have the time or resources to invest in running your own Machine Learning training infrastructure.

For time series workloads the ability of serverless functions to scale up and down is a major advantage, especially for something like IoT devices that may have intermittent connectivity and might suddenly send data in bursts. In this type of situation, it doesn’t make sense to be paying for a server to be running 24/7 when you can use a serverless function and only pay for the compute you use.

Azure Data Factory is a cloud-based data integration service that allows you to orchestrate and automate data movement and transformation using cloud-based data-driven workflows. It provides a cost-effective solution whenever a dependable code-free ETL tool on the cloud with numerous integrations is required. This blog will highlight how users can use Serverless360 to manage and monitor multiple Azure Data Factories with different pipelines. Azure Data Factory consists of a variety of components like.

Since being launched in 2014, the AWS Lambda service has spread fast amongst developers and cloud architects, for it is easy to use, and there is a significant cost benefit (pay-per-use basis). AWS Lambda is an Amazon Web Services serverless deployment platform that you can use in the AWS cloud environment with basically no overhead. It will save you much time and resources using Lambda for performing code tasks for websites, applications, and services running on AWS.

Fourteen billion dollars – that’s the projected global market size for serverless, which is supposed to grow by about 26 percent annually in the next few years, according to the recent Global Serverless Architecture Market report. The fast pace of adoption of serverless is hardly surprising because the technology can save significant costs for companies. It can enable them to build and deploy software and digital products without providing and maintaining any virtual or physical servers.