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AWS serverless services: Exploring your options

Dynatrace

Amazon compute solutions are designed to streamline resource provisioning and container management with two services: AWS Lambda : Lambda provides serverless compute infrastructure that lets you run code in response to predetermined events or conditions and automatically manage all compute resources required for these processes.

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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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Top 9 web development trends to expect in 2022

Enprowess

So it is convenient for all to use irrespective of internet speed and it works offline using cached data. Offers Easy Navigation & Seamless User Experience: Single page app has a simple design, and it delivers an experience like a desktop or mobile app. Users do not have to click on many links. Voice Search Technology.

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

Abhishek Tiwari

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. This is achieved by caching content (static HTML page, assets, APIs) at a large number of geographically distributed edge locations.

Systems 63
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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. Team Internet AG is an ad tech company with a focus on domain monetization and real-time bidding.