This blog focuses on implementing the Dependency Injection design pattern to the Azure Functions. For a better understanding of Dependency Injection and Azure Function, Let’s take a simple Cab booking validation scenario, in which there will be a Function app implemented with the Dependency Injection that validates the user email Id that is valid or not. Before diving into the orchestration, let us know what the Dependency Injection is.

This blog will brief on Azure Logic App Triggers. Let us see a short introduction of what a Logic App is and how does it work before getting deep into Logic App Triggers.

In the holiday spirit, we’re bringing a little cheer to the Golang community by celebrating the achievements of some noteworthy Go module authors. We’re excited to launch a new program within JFrog GoCenter that honors select “Top Gophers.” Using key metrics of success such as number of downloads and imports, quality metrics, and usage in GoCenter, we aim to highlight projects that we think are really helping improve software development for the Go developer community.

There are always the kind of tasks that need to run periodically, either to analyze and process information (like fraud detection), or to simply do things like send email reports. But for that, we need to have a tool to schedule computer resources and, of course, the script. But what if we only need to worry about coding the script? Introducing AWS Batch. It’s a free service that takes care of batch jobs you might need to run periodically or on-demand. And you only pay for the resources you use.

Recently, I have been tasked to migrate the existing set of Docker images from Ubuntu to RHEL UBI. The product has more than 25 images, so keeping the new image size as small as possible is one of the goals while migrating the images. Everyone is well aware of the advantages of keeping the Docker image size small for the following reasons...

Serverless can bring opportunities by making DevOps more accessible to folks new to the industry. It can also bring opportunities to folks already in the industry that want to spend more time focusing on adding business value. But many technologists, seasoned or otherwise, hear a lot about serverless but don’t always know how to get started.

In a world where the applications we run are constantly changing, the number of monitored metrics and events is skyrocketing, and responsibility for system components is fragmented across teams, it becomes increasingly difficult to pinpoint possible root causes of an issue in a timely manner. To address this challenge, we’re introducing Metric Correlations, which automatically finds candidates for the causes of an issue by searching your system for correlated metrics.

SAP HANA is a data analytics platform that uses an in-memory, column-oriented data store to efficiently execute transactional (OLTP) and analytical (OLAP) queries. It can perform these queries against its own tables, or against data that resides in remote, non-SAP databases like Hadoop or SQL Server. SAP HANA also serves as the database behind SAP’s S/4HANA ERP platform. Datadog’s new integration helps you better understand the health and performance of your SAP HANA systems.