Compute

Compute

Dropbox’s Reverse Migration, From Cloud to Own Data Centers

Dropbox’s Reverse Migration: From Cloud to Own Data Centers In a strategic shift, Dropbox decided to move a significant portion of its infrastructure from cloud providers back into its own data centers. This reverse migration was driven by the need for greater control, cost optimization, and long-term scalability. Key Learnings: Detailed explanation and analysis of […]

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Spotify’s Gradual Cloud Migration

Spotify’s Gradual Cloud Migration to Google Cloud Platform (GCP) was a strategic and methodical approach aimed at modernizing their infrastructure while maintaining business continuity. The migration was not a one-time event but a phased, continuous process that allowed Spotify to scale effectively, improve reliability, and empower its engineering teams. Here’s a structured breakdown of the

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LinkedIn’s Infrastructure as Code at Scale

LinkedIn’s use of Infrastructure as Code (IaC) at scale is a critical component of its ability to manage and deploy infrastructure efficiently across multiple cloud providers. Here’s a breakdown of how LinkedIn standardizes multi-cloud infrastructure with Terraform, manages thousands of resources via IaC pipelines, and enables a self-service model for global engineering teams: 1. Standardize

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🌐Netflix’s Cloud Migration Journey

Netflix’s cloud migration journey is one of the most iconic examples of how a company can transform its technology infrastructure to scale, innovate, and deliver value at unprecedented levels. Here’s a structured overview of Netflix’s cloud migration journey, highlighting key achievements and strategies: 🔍 Background 🧩 The Turning Point – 2008 Netflix’s Initial Setup: Key

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Data sync tools in AWS cloud

Amazon Web Services (AWS) provides several data synchronization tools that help you move, copy, and synchronize data between on-premises storage, edge locations, and AWS cloud services. These tools are designed to handle different use cases such as backup, disaster recovery, hybrid cloud workflows, analytics, and more. Here’s a list of popular AWS data sync tools

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AWS Compute Services

Service Type AWS Service Description Virtual Instances EC2 Elastic Compute Cloud – Virtual machines for running applications. Virtual Instances Lightsail Simplified virtual private servers (VPS) for small-scale applications. Containers ECS Amazon Elastic Container Service – Run and manage Docker containers. Containers EKS Amazon Elastic Kubernetes Service – Managed Kubernetes for container orchestration. Containers Fargate Serverless

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Hybrid connectivity to AWS Cloud

Key Considerations: Option Description Use Case Advantages Considerations AWS Direct Connect Dedicated physical connection between on-premises infrastructure and AWS. High bandwidth, low latency workloads requiring consistent network performance. – Low latency, high bandwidth<br>- Private connection (no public internet)<br>- Cost-effective for large data transfers – Requires physical connection setup<br>- Longer provisioning time<br>- Limited to specific locations

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AWS Platform Services – Tabular format

Service Name Description Category Amazon EC2 Elastic Compute Cloud for scalable virtual servers. Compute Amazon S3 Simple Storage Service for object storage (high durability, scalability). Storage Amazon RDS Relational Database Service for managed relational databases (MySQL, PostgreSQL). Databases Amazon DynamoDB NoSQL database for fast, flexible, and scalable data storage. Databases Amazon VPC Virtual Private Cloud

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