Learn Amazon ElastiCache (AWS Certified Solutions Architect) with Interactive Flashcards

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Caching Strategies

Caching strategies determine how data is managed and maintained across an application deployment. There are various caching strategies like Lazy Loading and Write-through. Lazy Loading populate data into cache only when requested, which minimizes the initial data loading. It improves the performance by reducing I/O and CPU usage. However, it may create cache stampede due to cache expiring or cache becoming empty. Write-through ensures data is written to cache and primary data store simultaneously. It provides consistency but can cause latency issues during data write operations.

Cluster Configuration

Amazon ElastiCache allows configuration of groups of cache nodes called clusters. Each cluster can have one or multiple shard(s) with replication depending on the selected engine (either Redis or Memcached) for safe and efficient scaling. Clusters use one or more cache node types to determine the amount of memory and compute power assigned to a cache node. It is important to choose the right cluster configuration according to the data volume, connection rates, and read/write performance needed. Auto Scaling, failover, and backups are key features in a robust cluster configuration.

Redis Support

Amazon ElastiCache supports Redis as one of its caching engines. Redis is an in-memory data store known for its performance and flexibility. It supports advanced data structures like lists, sets, hashes and sorted sets, making it suitable for a wide range of use cases including caching, messaging, gaming, and leaderboards. ElastiCache for Redis provides functionalities such as replication, scaling, multi-AZ deployment, cluster resizing, and backups ensuring high availability while also achieving performance optimization.

Memcached Support

Memcached is another in-memory caching engine supported by Amazon ElastiCache. It is a high-performance, distributed object caching system designed to speed up dynamic web applications by lowering the number of times a database or API must be read. Memcached is simple, fast and memory-efficient. Amazon ElastiCache for Memcached provides multi-node deployments across multiple Availability Zones, auto-discovery for Memcached nodes, and support for client sharding for improved application availability and scalability.

Security

Amazon ElastiCache ensures the security of your cache infrastructures through various mechanisms. Cache clusters and nodes are deployed within an Amazon Virtual Private Cloud (VPC), restricting access to only authorized users and resources. Network security can be further configured using security groups and network ACLs, controlling incoming and outgoing traffic. Data encryption can be enabled for both in-transit and at-rest data, ensuring confidentiality and integrity. Amazon ElastiCache also supports role-based access control and provides activity and access logs through AWS CloudTrail for monitoring and auditing purposes.

Subnet Groups

Subnet Groups are collections of subnets that reside within an Amazon Virtual Private Cloud (VPC). They are used to simplify the process of deploying ElastiCache clusters within a VPC. Subnets within a group will be distributed among multiple Availability Zones (AZ) to ensure high availability and fault tolerance. When you create an ElastiCache cluster in a VPC, you can specify a Subnet Group, and the cluster will be automatically deployed across all the subnets within the subnet group. This enables you to control network access, meet security requirements, and ensure fault tolerance for your ElastiCache clusters by launching them within a VPC.

Advanced Monitoring

Advanced monitoring in ElastiCache provides in-depth insight into the performance, health, and state of your ElastiCache clusters. It includes real-time monitoring, metric collection, and analytics using Amazon CloudWatch, enabling you to set alarms and notifications for defined thresholds. It covers various categories such as performance, cache, and infrastructure metrics. Performance metrics include cache hit ratio, cache miss ratio, and latency, while cache metrics include evictions, and storage utilization. Infrastructure metrics include CPU utilization and memory usage. Using advanced monitoring, you can identify anomalies, optimize cache performance, and ensure that the cache functions at peak efficiency.

Snapshots and Backup

In Amazon ElastiCache, snapshots are point-in-time backups of cache clusters that are stored in Amazon Simple Storage Service (S3). Snapshots can be used for data recovery or to migrate data across regions or accounts, and they also provide a way to comply with data backup and archiving policies. You can create snapshots manually or schedule them automatically based on your requirements. Manual snapshots can be created on-demand and can be retained indefinitely, whereas automatic snapshots have defined retention periods. Snapshots can be restored to a new ElastiCache cluster or shared with other AWS accounts, providing additional flexibility in managing data backups and migrations.

Maintenance and Upgrades

Regular maintenance and upgrades of ElastiCache clusters are necessary to ensure optimal performance, security, and reliability. ElastiCache performs maintenance tasks such as patching the operating system, updating the engine version, or applying security updates. You can self-manage maintenance events by specifying maintenance windows, which are time periods during which maintenance tasks can be performed. You can also use the ElastiCache service to automatically apply updates and perform maintenance tasks. When an update is available, you'll receive a notification, allowing you to test the update on a replica or another test environment before applying it to your production clusters. By regularly updating and maintaining your ElastiCache clusters, you can ensure high availability, security, and performance of your cache infrastructure.

ElastiCache Node Types

ElastiCache Node Types are the server instances that host your cache data. Various types of nodes are available, each optimized for different cache workloads, memory, and CPU usage. Each node type offers a balance between resource capacity, data replication, and performance. When you create a cache cluster, you can choose the appropriate node type that suits your application requirements. Some common node types are cache.t2, cache.m3, cache.r3, etc. You can select the correct node type based on the required storage size, the purpose of caching, and the desired performance characteristics.

Cache Parameter Groups

Cache Parameter Groups are a set of configuration settings that determine the behavior of your cache engine, such as Redis or Memcached, when running on an ElastiCache cluster. These groups allow you to apply specific configurations to your cache cluster and manage the runtime settings of your cache engine. You can create a custom cache parameter group, modify its settings, and apply it to one or more cache clusters. This helps in customizing the caching behavior according to the requirements of your application and ensures the optimal performance of your cache cluster.

Cache Engine Versions

Cache Engine Versions represent the specific versions of the Redis or Memcached cache engines supported by Amazon ElastiCache. Different cache engine versions may have different features, bug fixes, or performance improvements. Amazon ElastiCache regularly updates and expands the supported cache engine versions, allowing you to choose the version that best meets your application requirements. By selecting the appropriate cache engine version for your cluster, you can leverage the latest features, performance enhancements, and security updates provided by the cache engine developers.

Scaling ElastiCache

Scaling ElastiCache is the process of adjusting the size and performance of your cache cluster to meet the changing demands of your application. You can scale your ElastiCache deployment horizontally by adding or removing cache nodes in the cluster, or vertically by changing the node type. Scaling horizontally helps distribute the data and traffic loads across multiple cache nodes, while scaling vertically provides more memory and computational resources for your cache engine. You can also use partitioning or sharding techniques to distribute data across multiple cache clusters for even greater scalability. Amazon ElastiCache provides APIs to automate the scaling process and ensure smooth cache cluster scaling without manual intervention.

Cache Event Notifications

Cache Event Notifications are messages sent by Amazon ElastiCache to inform you about important events related to your cache clusters, such as cache node failures, replication group modifications, or the completion of backups. You can subscribe to these events using Amazon Simple Notification Service (SNS) and receive notifications through your preferred communication channels, such as email or SMS. This feature helps you monitor and respond to critical events in your cache infrastructure, enabling you to maintain the health and performance of your cache clusters proactively.

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