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Scale your enterprise cloud environment with enhanced AI-powered observability of all AWS services

Dynatrace

The latest batch of services cover databases, networks, machine learning and computing. AWS IoT Analytics. AWS IoT Things Graph. AWS Storage Gateway. We’ve selected two example services: Amazon Sagemaker and Amazon Neptune ,, for this purpose. Achieve full observability of all AWS services. Amazon Lex.

AWS 267
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure. Polymorphic Data Storage. Major Use Cases.

Big Data 321
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How digital experience monitoring helps deliver business observability

Dynatrace

DEM provides an outside-in approach to user monitoring that measures user experience (UX) in real time to ensure applications and services are available, functional, and well-performing across all channels of the digital experience, including web, mobile, and IoT. One of the key advantages of DEM is its versatility. Endpoint monitoring (EM).

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Get up to 300 new metrics out of the box with AWS supporting services (GA)

Dynatrace

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Simple Storage Service (S3). You can observe the metrics across service instances split by region (in this example, API Gateways in us-east-1 and us-east-2 ).

AWS 135
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Get up to 300 new metrics out of the box with AWS supporting services (GA)

Dynatrace

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Simple Storage Service (S3). You can observe the metrics across service instances split by region (in this example, API Gateways in us-east-1 and us-east-2 ).

AWS 132
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SQL Server on IoT Edge and Developer Machines – Smaller Footprint

SQL Server According to Bob

With the announcement I can tell you more about one of the things we have been working on; SQL Server running on IoT Edge and Developer machines in under 500MB of memory. The effort goes beyond IoT Edge devices and extends to the common developer experience. ‘ For example, going as far back as SQL Server 7.0

IoT 61
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The Need for Real-Time Device Tracking

ScaleOut Software

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The list goes on.

IoT 78