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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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What is IT automation?

Dynatrace

At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming.

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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). x+ in Java). Modifying this setting does affect performance.

Java 130
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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

Data visualization : how to present, explore and interpret observability data from serverless functions intuitively, clearly, and holistically? Data analysis : how to process, aggregate and query observability data from serverless functions effectively, accurately, and comprehensively?

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New Prometheus-based extensions enable intelligent observability for more than 200 additional technologies

Dynatrace

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Everything is presented in the context of your RabbitMQ topology, both host and instance. Dynatrace news. This extension package contains: The Prometheus data source configuration.

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Announcing enterprise-grade observability at scale for your OpenTelemetry custom metrics

Dynatrace

T o get performance insights into applications and efficiently troubleshoot and optimize them, you need precise and actionable analytics across the entire software life cycle. If there is no OneAgent present, all you have to do is to provide the endpoint URL of your Dynatrace ActiveGate or Cluster and an API token. What’s next.

Metrics 151
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Best Practices for a Seamless MongoDB Upgrade

Percona

Upgrading to the newest release of MongoDB is the key to unlocking its full potential, but it’s not as simple as clicking a button; it requires meticulous planning, precise execution, and a deep understanding of the upgrade process. Introduction of clustered collections for optimized analytical queries. In MongoDB 6.x: