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Emerging Trends

As cloud computing continues to evolve, new trends are shaping the future of how businesses and organizations leverage cloud technologies. Here are some key trends and technologies to watch:

Serverless Computing

Cloud computing execution model where applications run in stateless compute containers managed by cloud providers, eliminating server management overhead.

Name Description Link
AWS Lambda Run code without provisioning or managing servers, paying only for compute time consumed. AWS Lambda
Azure Functions Event-driven serverless compute platform that can solve complex orchestration problems. Azure Functions
Google Cloud Functions Lightweight compute solution for creating single-purpose, stand-alone functions. Cloud Functions
Serverless Computing Overview Comprehensive guide to serverless computing concepts and benefits. AWS Serverless

Multi-cloud Strategy

Approaches and tools for using multiple cloud providers to avoid vendor lock-in, improve resilience, and optimize costs and performance.

Name Description Link
Multi-cloud Strategy Guide Best practices for implementing multi-cloud architectures and avoiding vendor lock-in. Google Cloud Multi-cloud
Anthos Google's hybrid and multi-cloud platform for consistent development and operations. Google Anthos
Azure Arc Extend Azure services and management to any infrastructure across on-premises, multi-cloud, and edge. Azure Arc
AWS Outposts Fully managed service that extends AWS infrastructure to virtually any on-premises facility. AWS Outposts

Edge Computing

Name Description Link
Edge Computing Overview Understanding edge computing and its applications in modern architectures. AWS Edge Computing
AWS Wavelength 5G edge computing service bringing AWS services to telecommunications networks. AWS Wavelength
Azure Edge Zones Microsoft's edge computing solution for ultra-low latency applications. Azure Edge Zones
Google Distributed Cloud Google's edge and hybrid cloud solutions for distributed computing needs. Distributed Cloud

Artificial Intelligence Integration

Cloud services and platforms that integrate AI and machine learning capabilities to enable intelligent applications and automated decision-making.

Name Description Link
AWS AI Services Comprehensive suite of AI and machine learning services for developers. AWS AI Services
Azure AI Platform Microsoft's AI and machine learning platform with pre-built and custom solutions. Azure AI
Google Cloud AI AI and machine learning products for building intelligent applications. Google Cloud AI
MLOps Platforms Platforms for managing machine learning operations and model lifecycle. AWS SageMaker

Cloud-Native Security

Security practices and tools designed specifically for cloud-native applications, emphasizing automation, integration, and shift-left approaches.

Name Description Link
Shift-Left Security Integrating security early in the development lifecycle for cloud-native applications. Shift-Left Security
AWS Security Hub Centralized security findings aggregator for comprehensive security posture management. AWS Security Hub
Open Policy Agent Policy-as-code framework for cloud-native environments and Kubernetes. Open Policy Agent
Falco Runtime security monitoring for cloud-native environments and containers. Falco

Quantum Computing

Cloud-based quantum computing services and platforms that provide access to quantum processors for research and experimental applications.

Name Description Link
AWS Braket Fully managed quantum computing service for exploring and experimenting with quantum algorithms. AWS Braket
Azure Quantum Microsoft's cloud quantum computing service with access to diverse quantum hardware. Azure Quantum
Google Quantum AI Google's quantum computing research and cloud access to quantum processors. Google Quantum AI
IBM Quantum Network Access to IBM's quantum computers and quantum computing resources. IBM Quantum

Generative AI & Large Language Models

Cloud services and platforms providing access to generative AI models, large language models, and tools for building AI-powered applications.

Name Description Link
Amazon Bedrock Fully managed service for building generative AI applications with foundation models from leading AI companies. Amazon Bedrock
Azure OpenAI Service Microsoft's cloud service providing access to OpenAI's powerful language models including GPT-4 and ChatGPT. Azure OpenAI
Google Vertex AI Unified ML platform with generative AI capabilities and access to foundation models like PaLM and Gemini. Vertex AI
Anthropic Claude AI assistant with constitutional AI training, available through various cloud platforms. Anthropic Claude
Hugging Face Hub Platform for sharing and deploying machine learning models, including large language models. Hugging Face
LangChain Framework for developing applications powered by language models with cloud integrations. LangChain

Platform Engineering & Developer Experience

Modern approaches to building internal developer platforms that provide self-service capabilities and improve developer productivity through automation and standardization.

Name Description Link
Backstage Open platform for building developer portals and improving developer experience. Backstage
GitOps Operational framework using Git repositories as the single source of truth for declarative infrastructure and applications. GitOps
Internal Developer Platforms Platforms that provide self-service capabilities for developers to deploy and manage applications. Platform Engineering
Crossplane Kubernetes add-on that enables platform teams to assemble infrastructure from multiple vendors. Crossplane

Sustainable Cloud Computing

Tools, practices, and initiatives focused on reducing the environmental impact of cloud computing through energy efficiency and carbon footprint reduction.

Name Description Link
AWS Sustainability Tools and services for measuring and reducing carbon footprint in AWS cloud infrastructure. AWS Sustainability
Azure Sustainability Microsoft's commitment to carbon negative cloud computing and sustainability tools. Azure Sustainability
Google Cloud Carbon Footprint Tools for tracking and reducing carbon emissions from Google Cloud usage. Carbon Footprint
Green Software Foundation Industry coalition focused on building a trusted ecosystem of people, standards, tooling and best practices for green software. Green Software Foundation

WebAssembly (WASM) in Cloud

Technologies and platforms for running WebAssembly workloads in cloud environments, offering near-native performance with enhanced security and portability.

Name Description Link
Wasmtime Runtime for WebAssembly that can be used in cloud environments for secure, fast execution. Wasmtime
WASI WebAssembly System Interface for running WASM outside the browser, including cloud environments. WASI
Fermyon Cloud Cloud platform specifically designed for WebAssembly applications and microservices. Fermyon
Krustlet Kubernetes kubelet implementation for running WebAssembly workloads. Krustlet

Cloud-Native Databases

Modern database solutions designed specifically for cloud environments, offering features like auto-scaling, serverless operation, and developer-friendly APIs.

Name Description Link
PlanetScale Serverless MySQL platform built on Vitess with branching capabilities like Git. PlanetScale
Neon Serverless PostgreSQL with automatic scaling, branching, and point-in-time recovery. Neon
Supabase Open source Firebase alternative with PostgreSQL, real-time subscriptions, and edge functions. Supabase
CockroachDB Distributed SQL database designed for cloud-native applications with global consistency. CockroachDB

Have any suggestions, additions, best-practices or references? Please contribute to help others learn!