We recently wrote about whether API Gateway can act as a Load Balancer. The answer is yes and, in many cases, they are substitutes for each other. But how should we choose which one to use? In this article, we will dive into more details on how these two types of HTTP networking services compare, using the AWS services as a base level: API Gateway and Application Load Balancer (ALB). Both are highly-scalable services to a point that scalability should not be a concern for most use cases.

The most common API architecture on Serverless backends is not necessarily the most scalable and resilient option. Many developers take for granted that an AWS Lambda processing external requests will require an API Gateway endpoint connected directly to it. One of the best options to decouple a Lambda function and an API Gateway endpoint is by using an SQS queue. Requests come into API Gateway, which are sent as messages to SQS.

We added out of the box alerts for irregular behaviors. Lumigo Insights will trigger an alert the second it detects an irregularity with your functions ensuring you’ll know the second things start to go sideways.

This blog will brief on how to encrypt a text file using Azure Logic App out of the box. In this blog, we will use keys from the Azure Key Vault to encrypt the file. Consider a scenario in which I receive an e-mail with high importance along with the attachments. When it happens, I wish to back up those attachments carrying sensitive information in Azure Storage blobs in an encrypted format. As mentioned above I will use keys from Azure Key Vault to encrypt the files.

One of the great things about Lumigo is that it records a lot of context about each Lambda invocation. This includes the invocation event and its return value, as well as the environment variables that were in use at the time. I find this super helpful because it gives me all the relevant information about an invocation in one place. I don’t have to jump between different screens to find the relevant information and then piece the clues together in my head.

Roadmap.sh is a quite popular Github repo providing community-driven guidelines for professionals willing to join or develop a software career. From Backend to Fullstack to DevOps. I missed some details there about Serverless environments and thought about sparking a discussion around this. Perhaps these ideas can mature and eventually become a contribution to the repository.

About 90% of all Lambda functions monitored by Dashbird on AWS Lambda are running Nodejs and Python runtimes. Is this purely a reflection of the general popularity of these programming languages?

Microsoft Azure has been growing rapidly from the past couple of years and many new advancements have been done to increase the productivity of the users. Microsoft has also been constantly working on different monitoring capabilities to keep the users well informed about the status and availability of their resources. One such resource is the Azure service health which notifies the user about the availability and health status of each resource in different Azure regions.

Lumigo’s System Map is a real-time visualization of your entire application. A bird’s eye view of the whole stack with filters that allow you to drill down into a subset of your infrastructure. Our systems have grown exponentially both in scale and complexity. AWS takes care of scaling automatically, ensuring your application will scale gracefully regardless of the programming language, load, or location.