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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. This significantly increases event latency.

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Automated observability, security, and reliability at scale

Dynatrace

As software development grows more complex, managing components using an automated onboarding process becomes increasingly important. This is especially crucial in microservice architectures, where the number of components can be overwhelming.

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The state of site reliability engineering: SRE challenges and best practices in 2023

Dynatrace

Customer empathy is key to a fully optimized site reliability engineering practice Software engineering can often be an impersonal discipline. Generative AI can also help improve root cause analysis by allowing users to ask specific questions regarding architecture and digital environments.

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Site reliability engineering: 5 things you need to know

Dynatrace

What is site reliability engineering? Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. Dynatrace news. Solving for SR.

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Designing Instagram

High Scalability

Architecture. FUN FACT : In this talk , Dikang Gu, a software engineer at Instagram core infra team has mentioned about how they use Cassandra to serve critical usecases, high scalability requirements, and some pain points. Sending and receiving messages from other users. High Level Design. Streaming Data Model.

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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

Check back here throughout the event for the latest news, insights, and announcements. Measuring the importance of data quality to causal AI success – blog Causal AI can accurately pinpoint why an event occurred, but the effectiveness of AI depends on high-quality data. Enter causal AI.

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Sponsored Post: ipdata, StackHawk, InterviewCamp.io, Educative, Triplebyte, Stream, Fauna

High Scalability

T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Created by former senior-level AWS engineers of 15 years. Learn to balance architecture trade-offs and design scalable enterprise-level software. Apply here.

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