Remove Cache Remove Lambda Remove Mobile Remove Scalability
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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

REDIS for caching. With the existing notification integrations for tools such as Slack, xMatters, ServiceNow, Lambda, JIRA, you can also pro-actively notify people in case there’s a problem: Dynatrace auto detected a problem with 3 kube proxies. Their technology stack looks like this: Spring Boot-based Microservices.

AWS 127
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AWS serverless services: Exploring your options

Dynatrace

Scalability. Finally, there’s scalability. Lambda functions can be written in the language of your choice, and the service also supports container tools. Amazon EventBridge: EventBridge to bridges the data gap between your applications and other services, such as Lambda or specific SaaS apps.

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Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

All Things Distributed

Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. An AWS Lambda function is a simpler option that you can use, as it only requires you to code the logic, set it, and forget it.

Database 167
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In-Stream Big Data Processing

Highly Scalable

High performance and mobility. In many cases join is performed on a finite time window or other type of buffer e.g. LFU cache that contains most frequent tuples in the stream. Moreover, techniques like Lambda Architecture [6, 7] were developed and adopted to combine these solutions efficiently. Interoperability with Hadoop.

Big Data 154
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Accelerating Data: Faster and More Scalable ElastiCache for Redis

All Things Distributed

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. Building upon Redis. Amazon’s enhancements address many day-to-day challenges with running Redis.

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A one size fits all database doesn't fit anyone

All Things Distributed

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.

Database 167
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Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

Abhishek Tiwari

Using JAMstack delivers better performance, higher scalability with less cost, and overall a better developer experience as well as user experience. Lastly, the whole website was very slow to load - CDN caching was not effective as a large number of pages were personalised for pricing and availability depending on suburb and postcode.

Systems 63