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Stream logs to Dynatrace with Amazon Data Firehose to boost your cloud-native journey

Dynatrace

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. SREs and DevOps engineers need cloud logs in an integrated observability platform to monitor the whole software development lifecycle.

Cloud 214
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What is log management? How to tame distributed cloud system complexities

Dynatrace

While logging is the act of recording logs, organizations extract actionable insights from these logs with log monitoring, log analytics, and log management. Comparing log monitoring, log analytics, and log management. It is common to refer to these together as log management and analytics.

Systems 183
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Implementing service-level objectives to improve software quality

Dynatrace

SLOs enable DevOps teams to predict problems before they occur and especially before they affect customer experience. First, it helps to understand that applications and all the services and infrastructure that support them generate telemetry data based on traffic from real users. Availability. SLOs minimize downtime.

Software 259
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Optimize your marketing campaign investment by leveraging BizDevOps

Dynatrace

The “normal” set up, is that marketers will be looking at their web-analytics solutions, whilst the IT operations team are looking at their monitoring but neither are connected or talking with one another about what is going on in each other’s team. Get ready to talk with your ITOps/ DevOps team counterpart.

Traffic 160
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Privacy controls and barriers to session replay

Dynatrace

Session replay is a more visual approach to understanding user behavior compared with traditional analytics tools that focus primarily on bounce rates, conversions, and page views. Evaluate effectiveness after implementation with analytics and regular reports. Traffic control to choose the percentage of recorded visitor sessions.

Analytics 188
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AI techniques enhance and accelerate exploratory data analytics

Dynatrace

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Start by asking yourself what’s there, whether it’s logs, metrics, or traces.

Analytics 206
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No need to compromise visibility in public clouds with the new Azure services supported by Dynatrace

Dynatrace

Azure Traffic Manager. Get insights into various aspects of database performance, including SQL queries or procedures, SQL modifications, SQL transactions, any detected problems or availability issues, hotspots, and more—all the valuable information that a DevOps team could ask for to optimize database performance. Azure Batch.

Azure 146