Google Kubernetes Engine
Kubernetes
Amazon ECS
Docker
Amazon EKS
OpenShift Container Platform
Inuvika OVD Enterprise
Apache Karaf
SQLAlchemy
Sequelize
Hibernate
Entity Framework
phpMyAdmin
Eloquent ORM
Liquibase
Flyway
Google Kubernetes Engine SQLAlchemyBased on our record, Google Kubernetes Engine seems to be a lot more popular than SQLAlchemy. While we know about 49 links to Google Kubernetes Engine, we've tracked only 2 mentions of SQLAlchemy. 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.
Integration with Google Kubernetes Engine (GKE), which supports up to 65,000 nodes per cluster, facilitating robust AI infrastructure. - Source: dev.to / about 2 months ago
In my previous post, we explored how LangChain simplifies the development of AI-powered applications. We saw how its modularity, flexibility, and extensibility make it a powerful tool for working with large language models (LLMs) like Gemini. Now, let's take it a step further and see how we can deploy and scale our LangChain applications using the robust infrastructure of Google Kubernetes Engine (GKE) and the... - Source: dev.to / 4 months ago
Kubernetes cluster: You need a running Kubernetes cluster that supports persistent volumes. You can use a local cluster, like kind or Minikube, or a cloud-based solution, like GKE%20orEKS or EKS. The cluster should expose ports 80 (HTTP) and 443 (HTTPS) for external access. Persistent storage should be configured to retain Keycloak data (e.g., user credentials, sessions) across restarts. - Source: dev.to / 5 months ago
In a later post, I will take a look at how you can use LangChain to connect to a local Gemma instance, all running in a Google Kubernetes Engine (GKE) cluster. - Source: dev.to / 8 months ago
Google Kubernetes Engine (GKE) is another managed Kubernetes service that lets you spin up new cloud clusters on demand. It's specifically designed to help you run Kubernetes workloads without specialist Kubernetes expertise, and it includes a range of optional features that provide more automation for admin tasks. These include powerful capabilities around governance, compliance, security, and configuration... - Source: dev.to / 11 months ago
Under the hood, LangChain works with SQLAlchemy to connect to various types of databases. This means it can work with many popular databases, like MS SQL, MySQL, MariaDB, PostgreSQL, Oracle SQL, and SQLite. To learn more about connecting LangChain to your specific database, you can check the SQLAlchemy documentation for helpful information and requirements. - Source: dev.to / about 2 years ago
SQLModel is a library for interacting with SQL databases from Python code, using Python objects. It is designed to be intuitive, easy-to-use, highly compatible, and robust. It is powered by Pydantic and SQLAlchemy and relies on Python type annotations for maximum simplicity. The key features are: it's intuitive to write and use, highly compatible, extensible, and minimizes code duplication. The library does a lot... - Source: dev.to / over 2 years ago
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Sequelize - Provides access to a MySQL database by mapping database entries to objects and vice-versa.
Amazon ECS - Amazon EC2 Container Service is a highly scalable, high-performance container management service that supports Docker containers.
Hibernate - Hibernate an open source Java persistence framework project.
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Entity Framework - See Comparison of Entity Framework vs NHibernate.
