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Supercharge your end-to-end infrastructure and operations observability experience

Dynatrace

Dynatrace introduced numerous powerful features to its Infrastructure & Operations app, addressing the emerging requirement for enhanced end-to-end infrastructure observability. Let’s explore these exciting new features and see how they elevate infrastructure management. Overview of a cloud-hosted frontend web application.

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Viking Enterprise Solutions: Empowering Modern Data Infrastructure

DZone

In today's rapidly evolving technological landscape, developers, engineers, and architects face unprecedented challenges in managing, processing, and deriving value from vast amounts of data.

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Processing Time Series Data With QuestDB and Apache Kafka

DZone

Apache Kafka is a battle-tested distributed stream-processing platform popular in the financial industry to handle mission-critical transactional workloads. Kafka’s ability to handle large volumes of real-time market data makes it a core infrastructure component for trading, risk management, and fraud detection.

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Leveraging Infrastructure as Code for Data Engineering Projects: A Comprehensive Guide

DZone

Data engineering projects often require the setup and management of complex infrastructures that support data processing, storage, and analysis. Traditionally, this process involved manual configuration, leading to potential inconsistencies, human errors, and time-consuming deployments.

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Trace, diagnose, resolve: Introducing the Infrastructure & Operations app for streamlined troubleshooting

Dynatrace

Infrastructure and operations teams must maintain infrastructure health for IT environments. With the Infrastructure & Operations app ITOps teams can quickly track down performance issues at their source, in the problematic infrastructure entities, by following items indicated in red.

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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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Introducing Netflix TimeSeries Data Abstraction Layer

The Netflix TechBlog

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

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