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/articles/idempotence-aws-serverless-architecture/en/smallimage/small-logo-1706797548661.jpg)
A Primer on Idempotence for AWS Serverless Architecture
Understand idempotence in AWS serverless, tackling challenges from at-least-once delivery. Implement and automate with AWS Lambda, emphasizing early planning for consistent outcomes. Use tools like Lambda Powertools and prioritize testing for reliability.
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Cloud-Computing in the Post-Serverless Era: Current Trends and beyond
Discover the evolution of cloud-computing in the post-serverless era, with a shift towards hyper-specialized vertical multi-cloud services and a trend moving from Infrastructure as Code to Composition as Code. Microservices are being redefined in the cloud landscape and upcoming cloud services are set to be rich in constructs.
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From Dependency to Autonomy: Building an In-House E-signing Service
While many companies rely on third-party services, there’s a growing realization that an in-house solution can offer more control, flexibility, and cost savings. In this article, we’ll delve into how to build an e-signing microservice.
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Distributed Transactions at Scale in Amazon DynamoDB
Amazon DynamoDB supports transactions without sacrificing performance or availability. Akshat Vig explains how DynamoDB introduced TransactGetItems and TransactWriteItems for atomic operations, proving full ACID support in distributed transactions.
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Domain-Driven Cloud: Aligning Your Cloud Architecture to Your Business Model
Domain-Driven Cloud (DDC) is an approach for creating your organization’s cloud architecture based on your business model. Based on Domain-Driven Design (DDD) and the architecture principle of high cohesion and low coupling, this article introduces DDC including the technical and human benefits of aligning your cloud architecture to the bounded contexts in your business model.
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A Comprehensive Guide to Building Event-Driven Architecture on Azure, AWS, and Google Cloud
In this article, you'll find guidance to Azure, AWS, and Google Cloud resources, along with unique architecture examples that incorporate the AWS EventBridge, SNS, Azure Service Bus, Eventgrid, and Google Cloud Eventarc. These examples can help you better grasp the resources’ concepts and enable you to kickstart building your own architecture using an event-driven approach.
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Magic Pocket: Dropbox’s Exabyte-Scale Blob Storage System
A horizontally scalable exabyte-scale blob storage system which operates out of multiple regions, Magic Pocket is used to store all of Dropbox’s data. Adopting SMR technology and erasure codes, the system has extremely high durability guarantees but is cheaper than operating in the cloud.
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Banking on Thousands of Microservices
Lessons learned building a banking platform, starting from technological choices like using Cassandra and Kubernetes in the early days to maintain the speed of execution through platform engineering and developer experience. With some mistakes and incidents along the way.
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The Great Lambda Migration to Kubernetes Jobs—a Journey in Three Parts
In this article, I’d like to share our journey at Firefly on a great migration from serverless to Kubernetes jobs, lessons learned, and the technologies that helped us do so with minimal pain.
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Containers and Serverless—Rivals or Cohorts?
This article will try to decode these technologies and explore how developers should consider containers or serverless functions within their tech stack. For example, if your application has a longer startup time, then a container would suit the need better. Highly efficient stateless functions that need to scale up and down massively would benefit from running serverless functions.
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Lambda Throttling - How to Avoid It?
This article aims to explain best practices if you have throttled your application and services and suggestions for how to handle these cases. We performed an in-house experiment at Jit (a SaaS-based DevSecOps platform) built on serverless to learn how our application behaves.
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Using Serverless WebSockets to Enable Real-Time Messaging
This article reviews some of the most common live-user experiences with examples, discusses event-driven architectures to support real-time updates, and introduces common technology choices.