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Business Flow: Why IT operations teams should monitor business processes

Dynatrace

The business process observability challenge Increasingly dynamic business conditions demand business agility; reacting to a supply chain disruption and optimizing order fulfillment are simple but illustrative examples. Most business processes are not monitored. First and foremost, it’s a data problem.

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Secrets Detection: Optimizing Filter Processes

DZone

At roughly 10 thousand public documents scanned every minute , this eventually led to a bottleneck. In a gearbox, if you want to increase torque, you need to decrease speed. So it wasn’t a surprise to find that our engine had the same problem: more power, less speed.

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Practical business process monitoring for real-time business observability

Dynatrace

One of the more popular use cases is monitoring business processes, the structured steps that produce a product or service designed to fulfill organizational objectives. By treating processes as assets with measurable key performance indicators (KPIs), business process monitoring helps IT and business teams align toward shared business goals.

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Leverage logs for an end-to-end view of your business processes via Dynatrace OpenPipeline

Dynatrace

Unrealized optimization potential of business processes due to monitoring gaps Imagine a retail company facing gaps in its business process monitoring due to disparate data sources. Due to separated systems that handle different parts of the process, the view of the process is fragmented.

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Unlock the observability value of log data with processing at scale

Dynatrace

Advanced processing on your observability platform unlocks the full value of log data. Dynatrace now includes powerful log-processing capabilities for all types of log data. Log data is processed on ingest, whether coming from a fleet of OneAgents deployed across your enterprise hosts or generic API ingest from cloud services.

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

Dynatrace

This means high-frequency streamed logs from Firehose can be captured in your Dynatrace environment, automatically processed, stored in Grail for the retention period of your choice, and included in the full observability automation suite of the Dynatrace® platform, apps, and Davis ® AI problem detection.

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How Netflix Content Engineering makes a federated graph searchable

The Netflix TechBlog

A GraphQL processor executes the user provided GraphQL query to fetch documents from the federated gateway. Writing an Avro schema for such a document is time consuming and error prone to do by hand. This index needs to be kept up-to-date with the data exposed by the various services in the federated graph in near-real time.