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Automatic connection of logs and traces accelerates AI-driven cloud analytics

Dynatrace

Log entries related to individual transactions can be spread across multiple microservices or serverless workloads. Starting with user interactions, PurePath technology automatically collects all code execution details, executed database statements, critical transaction-based metrics, and topology information end-to-end.

Analytics 229
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Conducting log analysis with an observability platform and full data context

Dynatrace

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. ” In many cases, indexed databases only provide access to a sample of statistical data summaries.

Analytics 193
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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. The observability problem of the serverless approach. Dynatrace news.

Azure 138
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A one size fits all database doesn't fit anyone

All Things Distributed

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167
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Analyze AWS applications end to end with Dynatrace using AWS Distro for OpenTelemetry

Dynatrace

AI-powered analytics —Automatic root cause detection . The team follows the error to the back end and sees that the issue comes from a query originating from an AWS Lambda Python service to the DynamoDB database, resulting in a 400 Bad Request Error. . Ease of ingestion —with AWS Distro for OpenTelemetry . Get started today.

AWS 228
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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52
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Real-Time Digital Twins: A New Approach to Streaming Analytics

ScaleOut Software

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.