
Encore.dev
OpenShift
CloudStack
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CenturyLink Cloud
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AWS Lambda
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Amazon S3
Google App Engine
DynamoDB
Google Cloud Functions
Amazon AWS
AWS Elastic Beanstalk
Encore Cloud automates infrastructure and DevOps, letting you ship 3x faster with 90% less DevOps work, using your own cloud on AWS & GCP. ✓ Get enterprise-grade infrastructure without the complexity and DevOps overhead ✓ Enable safe AI-assisted development with built-in guardrails ✓ Gain full visibility across your stack with built-in Service Catalog, API documentation, and tracing
Key Features:
Production-Ready AI Assisted Development: Encore's parser validates all generated code to ensure it correctly implements service and API definitions, infrastructure integrations, etc.
No boilerplate: Encore drastically reduces the boilerplate needed to set up a production ready backend application. Define backend services, API endpoints, and call APIs with a single line of Go code.
Distributed Tracing: Encore instruments your application for excellent observability. Automatically captures information about API calls, goroutines, HTTP requests, database queries, and more. Automatically works for local development as well as in production.
Infrastructure Automation: Encore automatically provisions and manages your cloud infrastructure. Works with all the major cloud providers and you deploy to your own account (AWS/Azure/GCP).
Simple Secrets: Easily store and securely use secrets and API keys. Never worry about how to store and get access to secret values again.
Service Catalog and Automatic API Documentation: Encore parses your source code to understand the schemas for all your APIs and automatically generate interactive API Documentation.
Encore.dev
AWS LambdaBased on our record, AWS Lambda should be more popular than Encore.dev. It has been mentiond 297 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is close to what we're doing with [Encore](https://encore.cloud). The framework parses your application code through static analysis at compile time to build a full graph of services, APIs, databases, queues, cron jobs, and their dependencies. It uses that graph to provision infrastructure, generate architecture diagrams, API docs, and wire up observability automatically. The interesting side effect is that... - Source: Hacker News / 7 months ago
If you want to replicate Heroku's git push workflow while owning your infrastructure, Encore Cloud provisions managed resources in your own AWS or GCP account (powered by Encore, an open-source framework with 11k+ GitHub stars). You declare infrastructure as type-safe objects in your TypeScript or Go code, and Encore provisions the corresponding managed services. Everything else is standard TypeScript or Go. - Source: dev.to / 7 months ago
I work at Encore so I'm biased. We've had a bunch of people migrate over from Heroku in the last couple years, especially after they killed the free tier. The main difference from other alternatives is that you don't write any infrastructure config - you just declare what you need in your code (databases, cron jobs, pubsub, etc) and Encore handles provisioning it in your AWS/GCP account (works locally as well... - Source: Hacker News / 7 months ago
Most teams should start with the simplest option that meets their needs, then evolve if necessary. If you're building a backend application and don't want to become an infrastructure expert, Encore is worth trying. If you need maximum flexibility or multi-cloud support, Terraform is the industry standard. - Source: dev.to / 7 months ago
Today, we're launching Encore Cloud 2.0, a big upgrade to our development platform that understands your code and automates the operations layer. - Source: dev.to / 9 months ago
AWS Lambda is a service that runs your code without you managing any servers. You write your code, deploy it to Lambda, and it takes care of the infrastructure — servers, networking, security, and scaling. - Source: dev.to / 4 months ago
Clay can replace the Lambda and API chain if you'd rather avoid custom code. You set up a Clay table as the enrichment layer, trigger it from Segment via webhook, and it handles the waterfall and CRM push without writing a function. The tradeoff: less control over scoring logic and higher cost per enriched contact. - Source: dev.to / 4 months ago
To show why this matters, take a look at the following example. I have three AWS Lambda functions, Lambda being the serverless compute service, that each handle a different endpoint on the same API. But, almost everything about them is the same. They have the same runtime, the same memory configuration, and nearly the same structure. The only differences are the name, handler, and possibly some environment variables. - Source: dev.to / 4 months ago
Query Expansion and Decomposition: Amazon Bedrock query expansion broadens search; AWS Lambda query decomposition breaks complex queries into sub-queries; AWS Step Functions orchestrates multi-step retrieval. - Source: dev.to / 4 months ago
You need to understand synchronous and asynchronous inference patterns, event-driven architectures using Amazon EventBridge, workflow orchestration with AWS Step Functions, data processing with AWS Lambda, state management with Amazon DynamoDB, and security with AWS Identity and Access Management (IAM). The exam tests your ability to design serverless architectures that scale automatically, handle failures... - Source: dev.to / 5 months ago
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