Modern businesses are constantly looking for more efficiency and better performance in their daily operations. This is why embracing cloud computing has become necessary for many businesses. However, while there are numerous benefits to utilizing cloud technology, obstacles can get in the way. Managing a cloud environment can quickly overwhelm organizations with new complexities.

When used properly, serverless technologies like AWS Lambda can lower the cost of running a system. This is because you only pay for these services when you’re using them, so you don’t waste any money. Serverless technologies also have other benefits. They can provide better security, built-in redundancy and scalability. The biggest plus is that they let you do more with less time and effort. You can focus on the things that directly add value to your business.

Kubernetes has revolutionized the way we manage and deploy applications, but as with any system, troubleshooting can often be a daunting task. Even with the multitude of features and services provided by Kubernetes, when something goes awry, the complexity can feel like finding a needle in a haystack. This is where Kubernetes Operators and Auto-Tracing come into play, aiming to simplify the troubleshooting process.

Welcome again to another Decoding Logic App Dilemmas: Solutions for Seamless Integration! This time we selected a real problem presented by a client during one of our Logic Apps training courses: How to remove the first line from a flat file (CSV)! In this case, we have a CSV file where the first line contains the column headers that we want to see removed from the message in order to process only the data.

In the previous blog in this series, we delved into the redesigned architecture of Amazon Prime Video and how they integrated different architectural styles for optimal performance and cost efficiency. We also discussed the impact of Amazon’s decision on the concept of a “serverless-first” mindset, highlighting the importance of considering alternative architectural approaches based on specific use cases and requirements.

This post gives an overview of how to build applications using the updated Docker + WASM technical preview, along with some observability best practices.

Unfortunately, no Logic App connector can make the bridge to RabbitMQ, which makes this integration challenge a little bit more complicated. However, we have the ability to create an Azure Function by using the RabbitMQ trigger for Azure Functions to overcome this limitation. The purpose of this POC is to receive a message in a RabbitMQ queue, and that event triggers an Azure Function, which fires a Logic App.

In this post, we will compare two of Amazon Web Services’ (AWS) most popular computing services: AWS Lambda and Amazon EC2. Both services offer unique advantages and can be used for different purposes.

Lambda allows you to allocate memory for your functions in increments of 1 MB, ranging from a minimum of 128 MB to a maximum of 10,240 MB (10 GB). When we specify the memory size for a Lambda function, AWS will allocate CPU proportionally. For example, a 256 MB function will receive twice the processing power of a 128 MB function.

As organizations increasingly adopt serverless architectures and embrace the benefits of microservices, managing logs in this dynamic environment presents unique challenges. In this blog, we’re taking a closer look at the differences between serverless and traditional log management, as well as 8 challenges associated with log management for serverless microservices.