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Using modern observability to chart a course to successful digital transformation

Dynatrace

It’s not just about collecting data or where it’s processed, [but] it’s taking that data and adding context to it so we can deliver answers and automation at scale.” The post Using modern observability to chart a course to successful digital transformation appeared first on Dynatrace news.

Analytics 243
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Leverage logs for an end-to-end view of your business processes via Dynatrace OpenPipeline

Dynatrace

Unrealized optimization potential of business processes due to monitoring gaps Imagine a retail company facing gaps in its business process monitoring due to disparate data sources. Due to separated systems that handle different parts of the process, the view of the process is fragmented.

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Dynatrace OpenPipeline: Stream processing data ingestion converges observability, security, and business data at massive scale for analytics and automation in context

Dynatrace

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. Data is then dynamically routed into pipelines for further processing. Commitment to privacy.

Analytics 271
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Software Testing Methodologies: Short Guide To QA Models

DZone

And the evolution not only has called for modern testing strategies and tools but a detailed-oriented process with the inclusion of test methodologies. However, the only thing that defines the success or failure of a test strategy is the precise selection of tools, technology, and a suitable methodology to aid the entire QA process.

Software 284
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Java memory optimizations: 3x Jenkins performance improvement with Dynatrace

Dynatrace

Besides a lot of memory being allocated by core Jenkins components, there was one allocation that stuck out; over the course of the analyzed 14 hours, 557 million KXmlParser objects got initialized (call to constructor) allocating 1.62TB (yes – that is Terabyte) of memory. Step #4 – JDK 11 thread leak.

Java 328
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Why business digital transformation is still a key C-level priority today

Dynatrace

AI and DevOps, of course The C suite is also betting on certain technology trends to drive the next chapter of digital transformation: artificial intelligence and DevOps. According to IDC, AI technology will be inserted into the processes and products of at least 90% of new enterprise apps by 2025. And according to Statista , $2.4

C++ 246
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Next generation Dynatrace Davis AI becomes the default causation engine

Dynatrace

These blog posts, published over the course of this year, span a huge feature set comprising Davis 2.0, Enrich technical root-cause data with domain and/or business process-related information by ingesting external, third-party events into Davis. Key benefits of the Dynatrace Davis 2.0 AI causation engine. We opened up the Davis 2.0