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A Beginner’s Guide To Building Microservices With AWS Lambda

Dzone - DevOps

When used to construct microservices, AWS Lambda provides a route to craft scalable and flexible cloud-based applications. AWS Lambda supports code execution without server provisioning or management, rendering it an appropriate choice for microservices architecture.

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re:Invent Serverless Talks — Serverless SaaS Deep Dive

Stackery

Since Stackery is a SaaS platform that enables engineering teams to build, manage, and deliver AWS serverless applications with speed and confidence, I was intrigued by a talk that focused on why serverless is compelling for SaaS in the first place. Once you introduce microservices, the kind of problems you’re chasing are simpler.

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Serverless: A simple overview

O'Reilly Media - Ideas

Serverless is a trend in computing that decouples the execution of code, such as in web applications, from the need to maintain servers to run that code. The operational overhead to create, provision, and care for applications running on servers (in the traditional sense) is significant. Different flavors of serverless.

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Going Native: Trying Out AOT For Spring Boot

Apiumhub

As mentioned above, the cold start of the program means that several seconds will elapse before the web application will be able to respond to the first request, something that precludes this type of program from use in an environment where fast responses are required for sporadic requests, e.g. in an AWS lambda-based microservices application.

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Can VPC Lattice replace AWS Transit Gateway?

Xebia

VPC Lattice offers a new mechanism to connect microservices across AWS accounts and across VPCs in a developer-friendly way. The developers creating the microservices typically don’t like to spend time on network configurations and look for network specialists to set up connectivity. However, it does have consequences.

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Effective Trace Instrumentation with Semantic Conventions

Honeycomb

A lot of focus is placed on automatic instrumentation —which is great, particularly if you’re new to observability or retrofitting—but it misses the power of good instrumentation at the application level. You can take a lot of what is presented there and apply it at the application level. That’s kinda like a library over the wire.

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Optimizing Kafka Streams Applications

Confluent

We will wrap up this article with some operational guidelines on how to turn on topology optimizations when upgrading your Streams application to Kafka 2.1 In Kafka Streams, there are two ways you can specify your application logic—via the Processor API or the Streams DSL. and newer versions. Kafka Streams topology generation 101.