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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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MongoDB End of Life: How to Prepare

Scalegrid

Aug-23 Aug-26 MongoDB provides documentation and support to assist users through the upgrade process. This underscores the importance of timely software upgrades and strategic planning to keep pace with advancements in database technology. MongoDB Server Lifecycle Schedule Release Release Date End of Life Date MongoDB 2.6

Database 130
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Observability throughout the software development lifecycle increases delivery performance

Dynatrace

Today, development teams suffer from a lack of automation for time-consuming tasks, the absence of standardization due to an overabundance of tool options, and insufficiently mature DevSecOps processes. This leads to frustrating bottlenecks for developers attempting to build and deliver software.

Software 242
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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.