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Business process observability: Alerting on process KPIs

Dynatrace

Dynatrace Business Flow simplifies business process observability, connecting top-level process KPIs with detailed flow analytics. The app tracks the progress of every process instance, reporting individual and aggregated process performance, throughput, exceptions, and business outcomes.

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Latest OpenPipeline upgrades simplify high-volume, real-time data processing

Dynatrace

Empowering real-time insights through petabyte-scale data processing of all your data Modern cloud native systems generate massive volumes of telemetry data, spanning logs, metrics, events, and traces. It’s also represented in the size of individual signals that can be handled.

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Behind the Scenes: Building a Robust Ads Event Processing Pipeline

The Netflix TechBlog

At Netflix, we embarked on a journey to build a robust event processing platform that not only meets the current demands but also scales for future needs. This blog post delves into the architectural evolution and technical decisions that underpin our Ads event processing pipeline.

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Efficient Multimodal Data Processing: A Technical Deep Dive

DZone

Multimodal data processing is the evolving need of the latest data platforms powering applications like recommendation systems, autonomous vehicles, and medical diagnostics. Handling multimodal data spanning text, images, videos, and sensor inputs requires resilient architecture to manage the diversity of formats and scale.

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An Overview of Asynchronous Processing in Salesforce

DZone

When running a process in Salesforce, the first question you should ask is whether to execute it synchronously or asynchronously. If the task can be delayed and doesn't require an immediate result, it's always beneficial to leverage Salesforce's asynchronous processes, as they offer significant advantages to your technical architecture.

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Business process observability: An IT solution to a business challenge

Dynatrace

Business processes support virtually all aspects of an organizations operations. Theyre often categorized by their function; core processes directly create customer value, support processes increase departmental efficiency, and management processes drive strategic goals and compliance.

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Batch vs. Real-Time Processing: Understanding the Differences

DZone

The decision between batch and real-time processing is a critical one, shaping the design, architecture, and success of our data pipelines. Understanding the key distinctions between these two processing paradigms is crucial for organizations to make informed decisions and harness the full potential of their data.