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OpenPipeline: Simplify access to critical business data

Dynatrace

Business events: Delivering the best data It’s been two years since we introduced business events , a special class of events designed to support even the most demanding business use cases. Business event ingestion and analysis with log files. OpenPipeline: Simplify access and unify business events from anywhere.

Analytics 241
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Reliability indicators that matter to your business: SLOs for all data types

Dynatrace

This lets you build your SLOs around the indicators that matter to you and your customers—critical metrics related to availability, failure rates, request response times, or select logs and business events. Are you experiencing an increase or degradation in certain events that indicate a rising problem?

Metrics 277
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Extract metrics from business events to increase the value of business analytics

Dynatrace

This is achieved, in part, by establishing actionable statistical accuracy —not necessarily precise accuracy —through practical levels of metric sampling, aggregation, and extrapolation. To close these critical gaps, Dynatrace has defined a new class of events called business events.

Analytics 246
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Create simple workflows to automate alerts during development

Dynatrace

Your teams want to iterate rapidly but face multiple hurdles: Increased complexity: Microservices and container-based apps generate massive logs and metrics. You can select any trigger thats available for standard workflows, including schedules, problem triggers, customer event triggers, or on-demand triggers. Its as simple as that!

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Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

The release candidate of OpenTelemetry metrics was announced earlier this year at Kubecon in Valencia, Spain. Since then, organizations have embraced OTLP as an all-in-one protocol for observability signals, including metrics, traces, and logs, which will also gain Dynatrace support in early 2023.

Analytics 321
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What is observability? Not just logs, metrics and traces

Dynatrace

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. DevSecOps teams can tap observability to get more insights into the apps they develop, and automate testing and CI/CD processes so they can release better quality code faster.

Metrics 363
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How low-code/no-code AutomationEngine advances automated workflows

Dynatrace

But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise. With the Dynatrace modern observability platform, teams can now use intuitive, low-code/no-code toolsets and causal AI to extend answer-driven automation for business, development and security workflows.

Code 264