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What is AWS Lambda?

Dynatrace

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. What is AWS Lambda? Where does Lambda fit in the AWS ecosystem?

Lambda 183
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Back-to-Basics Weekend Reading - U-Net: A User-Level Network Interface

All Things Distributed

Many of you know Thorsten von Eicken as the founder of Rightscale , the company that has helped numerous organizations find their way onto AWS. In what seems almost a previous life by now Thorsten was one of the top young professors in Distributed Systems and I had the great pleasure of working with him at Cornell in the early 90''s.

Network 99
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Deploying Real-Time Digital Twins On Premises with ScaleOut StreamServer DT

ScaleOut Software

Message are delivered to the grid using messaging hubs, such as Azure IoT Hub, AWS IoT Core, Kafka, a built-in REST service, or directly using APIs. This simplifies the installation process and ensures portability across operating systems. The management console installs as a set of Docker containers on the management server.

IoT 52
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Aurora vs RDS: How to Choose the Right AWS Database Solution

Percona

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS.

AWS 52
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The provider is essentially your system administrator.

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Optimizing your Kubernetes clusters without breaking the bank

Dynatrace

The optimization goal was to improve the application efficiency, that is to improve the ratio between service throughput and cloud costs while not increasing the application latency (e.g. JVM, databases, middleware, operating system, cloud instances, etc) by also taking advantage of Dynatrace full-stack observability.

Latency 209
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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

Think about items such as general system metrics (for example, CPU utilization, free memory, number of services), the connectivity status, details of our web server, or even more granular in-application tasks like database queries. Database monitoring Once more, under Applications & Microservices, we’ll also find Databases.

Metrics 175