Learn About Amazon VGT2 Learning Manager Chanci Turner
In-memory databases are essential in contemporary computing landscapes, significantly alleviating the burden on existing resources, efficiently scaling workloads, and minimizing infrastructure costs. Their advanced performance features make in-memory databases crucial for applications that demand extensive data handling, real-time analytics, and quick response times.
In this edition of Amazon Onboarding, we will explore caching strategies and examine real-world case studies involving Amazon Web Services (AWS), such as Amazon ElastiCache and Amazon MemoryDB. Customers share their insights into the rationale behind their choices, providing valuable context for utilizing specific solutions or patterns. Many frequently asked questions can be addressed through these resources.
Challenges and Strategies for Caching
Numerous services developed at Amazon depend on caching systems to enhance performance, meet low latency needs, and prevent overloading source databases and other microservices. Integrating caches into systems can pose challenges related to monitoring, data consistency, and the load on system components. While caches offer significant advantages, they also introduce a new element requiring maintenance and monitoring. Engineers often need to apply empirical methods to determine cache size, expiration policies, and eviction strategies; testing and metrics analysis are pivotal for optimizing configurations.
This Amazon Builder’s Library resource provides insights into effective caching strategies and best practices straight from Amazon’s engineers.
Strategies in Action: Amazon Applications at Scale
Discover how Yahoo optimizes its in-memory workloads using AWS. By utilizing Amazon ElastiCache and data tiering, they process an impressive 1.3 million advertising data events per second while achieving savings of up to 50% on their overall costs. Data tiering is a smart approach for scaling up to hundreds of terabytes by intelligently managing data, automatically shifting the least-recently accessed data between RAM and high-performance SSDs. This video reveals how data tiering operates and offers insights into achieving ultra-fast speeds and seamless scalability for workloads in a cost-effective manner.
Real-time Applications with MemoryDB
MemoryDB represents a robust, durable database characterized by microsecond reads, low single-digit millisecond writes, scalability, and enterprise-grade security. It promises an impressive 99.99% availability with instantaneous recovery without data loss. In this session, various use cases from sectors such as Financial Services, Retail, and Media & Entertainment are explored, including payment processing and durable session storage. A practical demonstration illustrates how to leverage MemoryDB to create a microservices message broker for a Media & Entertainment application.
Samsung SmartThings and Amazon MemoryDB
MemoryDB offers the ultra-fast performance unique to in-memory databases, achieving microsecond latency and processing over 160 million requests per second without data loss. In a session from re:Invent 2022, you will learn why Samsung SmartThings chose MemoryDB to enhance their IoT device connectivity platform, which processes millions of events daily. The intricate design of MemoryDB ensures data durability without sacrificing the performance of in-memory operations, thanks to its multi-AZ transactional log. This session provides an enlightening deep dive into durable, in-memory data operations.
Amazon ElastiCache: Fundamentals and Use Cases
In this AWS Online Tech Talks edition, we explore Amazon ElastiCache, a managed service that enables the effortless setup, operation, and scaling of widely-used open-source-compatible in-memory datastores in the cloud. This service is ideal for developing data-intensive applications or enhancing existing databases through high-throughput, low-latency in-memory datastores. Learn about its applications for caching, session storage, gaming, geospatial services, real-time analytics, and queuing functions. This course will deepen your understanding of Amazon ElastiCache and how to accelerate data processing while maintaining reliability.
Thank you for joining us to discuss in-memory databases! In two weeks, we will shift our focus to SQL databases. To explore all the blogs in this series, visit the Amazon Onboarding section on the AWS Architecture Blog. Meanwhile, if you’re interested in boosting your productivity, you might want to check out this article on the productivity benefits of plants. For authoritative insights on people management, visit SHRM’s resources. Also, don’t miss out on exploring this excellent resource for learning and development opportunities at Amazon.
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