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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively. This significantly increases event latency. Spark Structured Streaming can also provide consistent fault recovery for applications where latency is not a critical requirement.

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Mastering MongoDB® Timeout Settings

Scalegrid

For example, your payment history might be on one database cluster and your analytics records on another cluster. If your analytics server is down, then each operation will wait for a default of 30 seconds before failing (which may or may not be what you want). Careful consideration must be given before making changes. </p>

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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

Higher latency and cold start issues due to the initialization time of the functions. With Davis AI exploratory analytics , Dynatrace gives you a helping hand to understand correlations between anomalies across all the telemetry. Enable faster development and deployment cycles by abstracting away the infrastructure complexity.

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How digital experience monitoring helps deliver business observability

Dynatrace

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). One use case for STM is to model the behavior of a customer in the form of a flow of transactions along the buyer’s journey.

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Best Practices for a Seamless MongoDB Upgrade

Percona

Introduction of clustered collections for optimized analytical queries. Improved performance : MongoDB continually fine-tunes its database engine, resulting in faster query execution and reduced latency. x: Live resharding of databases for uninterrupted sharded key changes. In MongoDB 6.x:

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How BizDevOps can “shift left” using SLOs to automate quality gates

Dynatrace

For example, improving latency by as little as 0.1 latency is the number one reason consumers abandon mobile sites. ” Data from the build process feeds impactful analytics from Davis AI to detect the precise root cause if software fails to meet specific benchmarks. Meanwhile, in the U.S., How Intuit puts Dynatrace to work.

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DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

Dynatrace

It enables them to adapt to user feedback swiftly, fine-tune feature releases, and deliver exceptional user experiences, all while maintaining control and minimizing disruption. They can also see how the change can affect critical objectives like SLOs and golden signals, such as traffic, latency, saturation, and error rate.

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