Managed services and serverless deployments have become increasingly popular tools in the software development process. This means that organizations are focusing less on infrastructure resources and more on the functionality and security of applications. Managed services—such as the applications like DynamoDB, Step Functions and API Gateway that are crucial to serverless architectures—come with associated costs.

AWS Lambda enables engineering teams to build modern, scalable services without the need to provision underlying infrastructure resources. But monitoring Lambda functions requires visibility into performance indicators that differ from those of traditional architectures—and cold starts are a key example.

Over the past few years, AWS has made incremental improvements to Lambda’s cold start performance. Nowadays, cold starts are much less an issue for most functions, unless you’re using Java or.Net Core.

Today I’m going to speak about another important Best practice, Tips and Tricks that you need to take into consideration while you are designing and maintaining your business processes (Logic Apps): Protect your Logic Apps.

At Lumigo, we keep improving the coverage and quality of our distributed tracing instrumentation to give you, through Lumigo’s transactions, the most accurate and intuitive representation of how your distributed system behaves. In this blog, we cover a recent development for the Amazon SQS instrumentation in Lumigo’s OpenTelemetry distro for Python, providing a seamless experience for a scenario that otherwise would result in confusing, broken transactions and lost insights.

The critical use case for BAM is to provide a simplified business-friendly view of the integrated processes that are key to your business. In business today, Robotic Process Automation (RPA) is a trending technology. While it has been around for quite a long time, it has gained a significant boost in popularity alongside the popularity of citizen developer and maker use cases.

Today I’m going to speak about another important Best practice, Tips and Tricks that you need to take into consideration while you are designing your business processes (Logic Apps): Foreach Parallelism.

In 2021, we partnered with AWS to develop the Datadog Lambda extension which provides a simple, cost-effective way for teams to collect traces, logs, custom metrics, and enhanced metrics from Lambda functions and submit them to Datadog.

Observability in serverless computing environments, such as AWS Lambda, has always been a challenge.

The Lambda Telemetry API empowers users to integrate monitoring and observability tools like Site24x7 with their Lambda functions. Site24x7 is an AWS-reviewed Lambda Service Ready Program Partner and is announced as a launch partner in AWS Lambda Telemetry API feature release. Customers, AWS partners, and the serverless community can use the Lambda Telemetry API to receive telemetry streams from the Lambda service, including function, extension logs, and metrics coming from the Lambda platform.

Back in 2020, we covered the launch of Lambda Extensions and the subsequent release of the Lambda Logs API. These features aren’t designed for the average Lambda user. But they allow vendors to build better tools by giving them much-needed access to the Lambda execution environment.

AWS recently introduced a new Lambda Telemetry API giving users the ability to collect logs, metrics, and traces for analysis in AWS services like Cloudwatch or a third-party observability platform like Coralogix. It allows for a simplified and holistic collection of observability data by providing Lambda extensions access to additional events and information related to the Lambda platform.

Amazon CloudWatch monitors metrics of your Amazon Web Services (AWS) resources in real time and can trigger alarms when a metric goes above or below certain thresholds. Typically, Amazon CloudWatch sends out alarms by posting a message to an SNS (Amazon Simple Notification Service) topic, which distributes the message via several mediums, including email, SMS, and Lambda functions. Setting a CloudWatch alarm can be complex.

The Serverless framework is an open-source framework written in Node.js that simplifies the development and deployment of AWS Lambda functions. It frees you from worrying about how to package and deploy the application to the cloud, so you can focus on your application logic. Serverless applications are distributed by design, so good code coverage is vital, and should include unit testing.

In the fast-growing Azure space, it is essential to scale your business as Azure scales up. Azure is cost efficient by providing a pay-as-you-go model, but it is still necessary for enterprise users to undergo a Cost Analysis to keep their budget at stack. Let us consider a scenario, you’re a manager in your organization, and your team has been using Azure for the last several months. It has created multiple resources that cost money.

From our experience handling Azure Service Bus messages, one frequent suggestion we get from the support person is to download messages from Azure Service Bus entities like Queues and Topic Subscriptions. By downloading the messages as a local copy, it becomes easy for them to debug the messages and use it at a later point in time. Basic knowledge of Azure Service Bus messaging entities is a pre-requisite for the better understanding of this feature.

With serverless and containerized applications becoming a norm, workloads and integrations are spread across multiple cloud environments. As these apps become increasingly more distributed, monitoring also becomes more complicated with siloed and incomplete telemetry. This is where distributed tracing brings great value. It enables end-to-end visibility in your modern and complex application.