The hottest Serverless Substack posts right now

And their main takeaways
Category
Top Technology Topics
The Tech Buffet 139 implied HN points 11 Mar 24
  1. Cloud Functions are a serverless way to run your code on Google Cloud without managing servers. You pay only for what you use, making it cost-effective.
  2. You can build a Cloud Function to summarize YouTube videos by extracting their transcripts and using AI to create concise summaries. This is done using Python libraries like youtube-transcript-api and langchain.
  3. Testing your Cloud Function locally is a great way to ensure it works before deploying it. You can use tools like Postman to check the API responses easily.
Eventually Consistent 39 implied HN points 24 Jun 24
  1. Data replication involves methods like replication and partitioning to improve availability and reduce latency by distributing replicas geographically.
  2. Single-leader replication allows for increased read throughput, while leaderless replication prioritizes availability and scalability over consistency.
  3. Serverless programming models reduce operational complexity but come with challenges like cold starts, execution time limits, and concurrency management, requiring developers to focus on cost optimization.
Data Engineering Central 137 implied HN points 24 Jul 23
  1. Data Engineers may have a love-hate relationship with AWS Lambdas due to their versatility but occasional limitations.
  2. AWS Lambdas are under-utilized in Data Engineering but offer benefits like cheap solutions, ease of use, and driving better practices.
  3. AWS Lambdas are handy for processing small datasets, running data quality checks, and executing quick logic while reducing architecture complexity and cost.
The Serverless Mindset 78 implied HN points 14 Jul 23
  1. Finding the right balance between infrastructure and business logic in serverless architecture is crucial.
  2. Serverless offers a sweet spot between simplicity and control, allowing for understanding and informed decision-making by developers.
  3. The relationship between infrastructure and business logic in serverless architectures is complex, and finding the right balance is key to creating scalable and resilient systems.
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Rodrigo Kamada 58 implied HN points 22 Mar 23
  1. Create a serverless API using AWS Lambda and Node.js with TypeScript and Express.js.
  2. Learn to configure an account on AWS Lambda, create access keys, build a Node.js application with Express.js, and deploy it on AWS Lambda.
  3. Test the serverless API on AWS Lambda by sending requests to the created routes.
AnyCable Broadcasts 19 implied HN points 07 Apr 23
  1. AnyCable connects Twilio streams with Hanami, utilizing features like Phlex, Vite, and CableReady.
  2. Exploring the potential of serverless WebSockets reveals challenges in handling long-lived, stateful connections in a serverless environment.
  3. Implementing pub/sub components for serverless WebSockets requires extra consideration for optimizing resources and scalability.
Rain Clouds 1 HN point 20 Mar 23
  1. The landscape of cloud development tooling is evolving, with a focus on creating abstractions and frameworks to simplify the process of building and deploying distributed cloud applications.
  2. Infrastructure-as-code languages are transitioning towards statically typed programming languages like TypeScript for better developer experiences and easier maintenance.
  3. New frameworks like Eventual, Ampt, Nitric, and others are emerging to abstract away infrastructure complexities, provide end-to-end type-safe development experiences, and offer seamless integrations with existing cloud environments.
realkinetic 0 implied HN points 23 Jul 18
  1. Google App Engine provides automated operations that manage scalability, fault-tolerance, and traffic splitting, freeing you to focus on your application and business logic.
  2. Designing applications on Google App Engine requires embracing statelessness, optimizing data models, and minimizing request latency to ensure efficient scaling and performance.
  3. Utilize App Engine's features like task queues and services, understand the limitations of Memcache, and plan for modular design to maximize the platform's capabilities and scalability.
realkinetic 0 implied HN points 06 Feb 18
  1. In the world of cloud computing, PaaS (Platform as a Service) has lost some of its appeal due to concerns like vendor lock-in and limitations.
  2. The cloud landscape is complex and evolving rapidly, with tools like Kubernetes and serverless reshaping how applications are developed and managed.
  3. Major cloud providers are moving towards unbundling and rebundling PaaS components to offer the benefits of accelerated development while retaining flexibility.
The Serverless Mindset 0 implied HN points 22 Jun 23
  1. TCO stands for Total Cost of Ownership and highlights the costs of owning software or infrastructure.
  2. Lowering TCO should not just be about reducing headcount; it's about optimizing resources and focusing more effectively.
  3. Utilizing cloud providers for managing software or infrastructure can be a strategic move for cost optimization.
Thoughts from the trenches in FAANG + Indie 0 implied HN points 09 Jun 23
  1. AWS Lambda allows you to run code without managing servers, making it a great choice for many developers.
  2. Using AWS CLI to stream logs from Lambda to your terminal is much faster and more efficient than using the AWS Console.
  3. You need to know the log group for your Lambda function, but once you do, setting up log streaming is a simple process.
Microfrontends, Architecture and Trade-offs 0 implied HN points 03 Jan 24
  1. When using modern frameworks like NextJS or Remix, running on serverless infrastructure is common and efficient.
  2. Deploying a NextJS app on Vercel leverages serverless/edge functions, leading to better scaling without nodejs event loop limitations.
  3. For more control and customization, consider options like deploying NextJS in a containerized, auto-scalable environment or creating a custom framework using vite-plugin-ssr.
realkinetic 0 implied HN points 12 Feb 24
  1. The industry has mainly focused on Kubernetes as the go-to cloud solution, but serverless options like Cloud Run can be effective for certain use cases and offer cost-efficiency.
  2. Cloud Run offers a simplified platform for businesses with cyclical traffic patterns and minimal need for Kubernetes-level complexity, allowing developers to focus on delivering value rather than managing infrastructure.
  3. Adopting Cloud Run can provide a flexible, cost-effective cloud solution that maintains the option to evolve to a more complex platform as needed, catering well to 'normal' businesses outside of internet-scale operations.
realkinetic 0 implied HN points 02 Nov 20
  1. Using serverless and managed services is critical for achieving big wins with small teams on tight deadlines in the cloud.
  2. Choosing a cloud platform and fully embracing its capabilities is key to success, even though leveraging multiple platforms for different strengths can also be beneficial.
  3. Serverless computing allows teams to focus on business outcomes, accelerating product launches, reducing team sizes, and shifting the focus to more differentiated work.
realkinetic 0 implied HN points 20 Aug 19
  1. When choosing the right GCP compute platform, consider the level of abstraction that fits your application, team, and investment allocation.
  2. Google's compute product continuum offers options from raw VMs in Compute Engine to highly abstracted options like Firebase and Cloud Functions.
  3. Different GCP compute platforms have good and bad fit characteristics based on considerations like complexity of server-side logic, statefulness, and architectural maturity.