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What is DevOps automation?

Dynatrace

Staying ahead of customer needs requires speed and agility from all phases of the software development life cycle (SDLC). DevOps automation can help to drive reliability across the SDLC and accelerate time-to-market for software applications and new releases. What is DevOps automation?

DevOps 190
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The 3 Stages of an Effective Test Data Strategy

DZone

With the rise of agile and DevOps practices, software testing is more important than ever for delivering high-quality applications at speed. But, while helpful, these solutions alone are not enough for implementing a truly effective test data strategy.

Strategy 130
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Why vulnerability management enhances your cloud application security strategy

Dynatrace

At Dynatrace Perform 2022 , the Advancing DevOps and DevSecOps track will highlight the importance of an automatic and intelligent approach to vulnerability management for modern multicloud environments. Register for Perform 2022 today , and check out the Advancing DevOps and DevSecOps track.

Strategy 224
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Fueling the next wave of IT operations: Modernization with generative AI

Dynatrace

In this article, we explore recent survey data from Enterprise Strategy Group (ESG), sponsored by Dynatrace, on how organizations approach IT automation, as well as the benefits and challenges they encounter as they adopt it. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.

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The state of AI in 2024: Overcoming adoption challenges to unlock organizational success

Dynatrace

However, most organizations are still in relatively uncharted territory with their AI adoption strategies. For example, nearly two-thirds (61%) of technology leaders say they will increase investment in AI over the next 12 months to speed software development. To realize these benefits, organizations must get their AI strategy right.

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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

Further, automation has become a core strategy as organizations migrate to and operate in the cloud. More than 70% of respondents to a recent McKinsey survey now consider IT automation to be a strategic component of their digital transformation strategies. DevOps metrics and digital experience data are critical to this.

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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

‘Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. Causal AI is critical to feed quality data inputs to the algorithms that underpin generative AI.