Remove Cache Remove Infrastructure Remove Lambda
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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

Dynatrace is proud to be an AWS launch partner in support of Amazon Lambda SnapStart. For AWS Lambda, the largest contributor to startup latency is the time spent initializing an execution environment, which includes loading function code and initializing dependencies. What is Lambda? What is Lambda SnapStart?

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Dynatrace Support for AWS Lambda Functions Powered by x86 and AWS Graviton2

Dynatrace

Dynatrace is proud to partner with AWS to support AWS Lambda functions powered by x86-based processors and Graviton2 Arm-based processors announced earlier this year. According to the official AWS announcement, Graviton2-based Lambda functions offer up to 34% better price-performance improvement. Dynatrace Data explorer.

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AWS serverless services: Exploring your options

Dynatrace

Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Lambda functions can be written in the language of your choice, and the service also supports container tools. Why use a serverless architecture?

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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.

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Cloudburst: stateful functions-as-a-service

The Morning Paper

Last week we looked at a function shipping solution to the problem; Cloudburst uses the more common data shipping to bring data to caches next to function runtimes (though you could also make a case that the scheduling algorithm placing function execution in locations where the data is cached a flavour of function-shipping too).

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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. We also do this at very high rates: up to 4.5 million writes per second and 20 million reads per second. Building upon Redis.

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How to Reduce Your CDN Infrastructure Expenses

IO River

Common Infrastructure ExpensesYour first step in optimizing CDN expenses isn’t to look for the best-priced solution but to remember that a cheaper price isn’t always the best deal. For example, if you’re deploying the infrastructure for an e-commerce website, security becomes a fundamental requirement. per one million requests.