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Encore Cloud automates infrastructure and DevOps, letting you ship 3x faster with 90% less DevOps work, using your own cloud on AWS & GCP. โ Get enterprise-grade infrastructure without the complexity and DevOps overhead โ Enable safe AI-assisted development with built-in guardrails โ 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.
Amazon EC2 Encore.devEncore.dev might be a bit more popular than Amazon EC2. We know about 86 links to it since March 2021 and only 81 links to Amazon EC2. 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.
For production deployment, the fine-tuned SLMs can run on SageMaker Real-Time Endpoints, self-hosted EC2, or even AWS Outposts for on-premise telco edge deployments where data residency is required. - Source: dev.to / 4 months ago
In this post we are using an Amazon EC2 T3 Micro instance running Ubuntu with an nginx web server. We'll use AWS Systems Manager to help set up a CI/CD pipeline using GitHub Actions. We'll then configure AWS Certificate Manager with Amazon CloudFront and have it connected to our domain with Amazon Route 53! We'll be using a Vue Nuxt 4 application as our web app. - Source: dev.to / 5 months ago
Cloud compute spend is one of the most visible and controllable components of AWS infrastructure costs, yet many organizations still pay for idle resources. Development, testing, UAT, QA, sandbox, and demo environments often run 24/7 out of convenience, even though they are only needed during business hours. Automatically stopping (โparkingโ) resources such as Amazon EC2 and Amazon RDS during off-hours is a... - Source: dev.to / 6 months ago
I believe that learning only theory or cramming these configuration options might not be enough to pass the exam. Also, and let's put your hand over your heart, memorizing EC2 or S3 settings will not make you a better cloud professional. - Source: dev.to / 7 months ago
Compute: This is the big one. It's the cost of running EC2 instances with GPUs (like the g5 or p4 series) for model training and deployment. It also includes the compute for services like Amazon SageMaker and AWS Batch. - Source: dev.to / 11 months ago
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 / 5 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 / 5 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 / 5 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 / 5 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 / 7 months ago
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
OpenShift - OpenShift gives you all the tools you need to develop, host and scale your apps in the public or private cloud. Get started today.
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.
CloudStack - Apache's CloudStack is a Project backed by Citrix and designed to be a direct competitor to...
Vultr - Global, automated cloud infrastructure from the broadest array of AMD and NVIDIA GPUs to virtual CPUs, bare metal, Kubernetes, storage, and networking solutions.
Docker Compose - Define and run multi-container applications with Docker
