Operations | Monitoring | ITSM | DevOps | Cloud

Lambda is an excellent option for deploying lower-traffic web services when you don't want to maintain another server and you want easy access to all of AWS's other services. In this article, Godwin Ekuma shows us step-by-step how to deploy our Rails apps to AWS Lambda.

BizTalk Migrator tool is one of the latest releases of Microsoft, which helps to migrate your BizTalk solutions to Azure in a much simpler and automated way. So to keep you informed about the recent enhancements of the tool, the Azure Logic Apps team had a live remote session exclusively on that topic. Without any further delay, let us jump in as there are tons of updates are waiting.

AWS Auto Scaling groups are a powerful tool for creating scaling plans for your application. They let you dynamically create a group of EC2 instances that will maintain a consistent and predictable level of service. HAProxy’s Data Plane API adds a cloud-native method known as Service Discovery to add or remove these instances within a backend in your proxy as scaling events occur. In this article, we’ll take a look at the steps used to integrate this functionality into your workflow.

This series was co-written by Musa Barighzaai and Tyler Sullberg. In the previous post, we explored high-level differences between thinking in Clojure compared to thinking in JavaScript. We are now ready to start building our first Clojure microservice. The microservice we are going to build will be very simple. It will be an HTTP server that uses a Redis data store to count how many times a given IP address has pinged the /counter endpoint.

This series was co-written by Tyler Sullberg and Musa Barighzaai. This is the third and final post in a series of posts for JavaScript developers about how to set up Clojure microservices. The previous posts were: Those previous posts are useful context, but you can clone the repo and jump into this post without reading them.

The larger your team grows and the faster your teams move, the harder it is for engineering leaders to find trust but verify moments, the moments where you should dig in and make sure your team's health is improving. Imagine a world where all your engineering tools are working together such that accurate and insightful trust but verify moments come to you. Imagine a world where you have the finest Sleuth in the world, working just for you.

Ayyeka connects decision makers to their remote assets, so they can make better and timely decisions. Their Industrial IoT solutions for remote monitoring enable asset owners and operators to achieve enhanced compliance and improved efficiency across the board. Hardware, software, and digital services are merged to deliver an end-to-end experience and value when connecting asset and infrastructure networks to data systems.

Building successful machine learning (ML) production systems requires a specialized re-interpretation of the traditional DevOps culture and methodologies. MLOps, short for machine learning operations, is a relatively new engineering discipline and a set of practices meant to improve the collaboration and communication between the various roles and teams that together manage the end-to-end lifecycle of machine learning projects.