The hottest Serverless Substack posts right now

And their main takeaways
Category
Top Technology Topics

IaC wars

Cloud Irregular • 3252 implied HN points • 06 Feb 24
🕹 Technology Serverless
  1. Different cloud providers have different approaches to Infrastructure-as-Code.
  2. There is a need for tools that can migrate configurations to idiomatic Infrastructure-as-Code templates.
  3. New configuration languages like Pkl are emerging to address frustrations with existing options.

The Tech Buffet #20: How To deploy a Cloud Function That Summarizes Youtube Videos

The Tech Buffet • 139 implied HN points • 11 Mar 24
🕹 Technology Serverless
  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.

What I Learned This Week #5

Eventually Consistent • 39 implied HN points • 24 Jun 24
🕹 Technology Serverless
  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.

My Love, Hate Relationship.

Data Engineering Central • 137 implied HN points • 24 Jul 23
🕹 Technology Serverless
  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.

Infrastructure and Business Logic in Serverless: Exploring the Relationship

The Serverless Mindset • 78 implied HN points • 14 Jul 23
🕹 Technology Serverless
  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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The Serverless Citadel

The Serverless Mindset • 78 implied HN points • 06 Apr 23
🕹 Technology Serverless
  1. Consider starting a project as a Serverless Monolith for easier setup
  2. Transitioning from a Serverless Monolith to microservices can be made easier with the "Serverless Citadel" concept
  3. Use the Serverless Citadel to gradually move towards a scalable architecture without the need for radical migrations

Speed vs the Appearance of Speed

The Serverless Mindset • 39 implied HN points • 14 Apr 23
🕹 Technology Serverless
  1. Focus on giving users a sense of progress to hide unoptimized areas of your system
  2. Strive to achieve the Appearance of Speed in user experience rather than focusing solely on actual speed
  3. Show something to the user quickly and update the page with data to enhance the feeling of progress in the application

The Power of Constraints

The Serverless Mindset • 39 implied HN points • 02 Mar 23
🕹 Technology Serverless
  1. Setting strong deadlines can help prioritize and make hard choices when developing new features.
  2. Small, autonomous teams can be more effective in delivering products than larger teams.
  3. Embrace constraints and see them as a positive force that can lead to greater focus and innovation.

Any Cables Monthly #8

AnyCable Broadcasts • 19 implied HN points • 07 Apr 23
🕹 Technology Serverless
  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.

AI and Serverless: The Good, the Bad, and the Ugly

Cloud Weekly • 52 implied HN points • 10 Jun 23
🕹 Technology Serverless
  1. Think twice before using Lambdas for training ML/AI models due to limitations and complexities.
  2. Serverless infrastructure can be powerful, but choose the right tools for ML tasks, like EC2 instances for training.
  3. Design decisions in the wrong direction can be costly and time-consuming to change, especially in AI and Cloud systems.

Monolith is not dead and it scales

Cloud Weekly • 17 implied HN points • 06 May 23
🕹 Technology Serverless
  1. Serverless may not always be the most cost-effective option, even for big companies like Amazon Prime.
  2. Using ECS to package services in one container can help reduce costs and improve scalability.
  3. Architectures should evolve based on business needs and not just follow trends or debates.

Issue #63

Infra Weekly Newsletter • 9 implied HN points • 19 Sep 23
🕹 Technology Serverless
  1. Schneider Electric highlights the importance of rethinking data center construction for AI workloads
  2. Bun shows promise as a new runtime for JavaScript server environments, but has some challenges to overcome
  3. Cloud automation is evolving towards API-driven approaches for managing various cloud resources

Exploring the Emerging Cloud Development Tooling Landscape

Rain Clouds • 1 HN point • 20 Mar 23
🕹 Technology Serverless
  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.

Why Google App Engine

realkinetic • 0 implied HN points • 23 Jul 18
🕹 Technology Serverless
  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.

There and Back Again: Why PaaS Is Passé (And Why It’s Not)

realkinetic • 0 implied HN points • 06 Feb 18
🕹 Technology Serverless
  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.

What Is the Goal of Lowering Your TCO Anyway?

The Serverless Mindset • 0 implied HN points • 22 Jun 23
🕹 Technology Serverless
  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.

The Nextjs that runs on Vercel is not the same that runs on your infrastructure

Microfrontends, Architecture and Trade-offs • 0 implied HN points • 03 Jan 24
🕹 Technology Serverless
  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.

Cloud without Kubernetes

realkinetic • 0 implied HN points • 12 Feb 24
🕹 Technology Serverless
  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.

Getting big wins with small teams on tight deadlines

realkinetic • 0 implied HN points • 02 Nov 20
🕹 Technology Serverless
  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.

Choosing the Right GCP Compute Platform

realkinetic • 0 implied HN points • 20 Aug 19
🕹 Technology Serverless
  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.