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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.

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Reinventing our Dynatrace Core Values

Dynatrace

Why and how we refreshed our Core Values For more than 20 years, the Dynatrace team has been united by the vision of a world where software works perfectly. Stay tuned. We constantly learn from feedback, celebrate with humility, and strive for excellence. We plan to share more about our journey soon.

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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, if there’s some trouble connecting due to networking problems or excessive load requests from customers present on the server’s side, that might result in a resolution-related delay causing a subsequent timeout problem. x+ in Java). Modifying this setting does affect performance.

Java 130
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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. We walk you through the essential steps required.

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

Dynatrace

Observability is essential to ensure the reliability, security and quality of any software system. Data visualization : how to present, explore and interpret observability data from serverless functions intuitively, clearly, and holistically? Such anomalies can be caused by function cold-starts.

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

Dynatrace

Without any coding skills required, you can declare extensions in a human-readable YAML format and activate them in your environment via the Dynatrace Software Intelligence Hub. Everything is presented in the context of your RabbitMQ topology, both host and instance. It’s easy—no intermediaries and no redundant moving parts.