Remove Engineering Remove IoT Remove Serverless
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What is Azure Functions?

Dynatrace

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. Azure IoT Functions, for instance, processes requests for Azure IoT Edge.

Azure 204
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What is AWS Lambda?

Dynatrace

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Organizations are realizing the cost savings and management benefits of serverless automation. The benefits of serverless Lambda functions.

Lambda 258
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What is Google Cloud Functions?

Dynatrace

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Google Cloud Functions is a serverless compute service for creating and launching microservices. What is Google Cloud Functions?

Google 246
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How to evaluate modern APM solutions

Dynatrace

A truly modern APM solution provides business analytics, such as conversions, release success, and user outcomes across web, mobile, and IoT channels, linking application performance to business KPIs. We use a lot of serverless (FaaS) in our infrastructure, and Dynatrace really helps us troubleshoot failed invocations.

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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

The population of intelligent IoT devices is exploding, and they are generating more telemetry than ever. The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes.

IoT 52
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A one size fits all database doesn't fit anyone

All Things Distributed

Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. Typical use cases for a graph database include social networking, recommendation engines, fraud detection, and knowledge graphs.

Database 166
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Stuff The Internet Says On Scalability For August 17th, 2018

High Scalability

it’s not Serverless anymore it’s running in a few containers on a kubernetes cluster. allspaw : engineer: “Unless you’re familiar with Lamport, Brewer, Fox, Armstrong, Stonebraker, Parker, Shapiro.(and They'll love you even more. million : lost in ATM malware hack; $1.5 myelixirstatus !#Serverless.No

Internet 105