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What are quality gates? How to use quality gates to deliver better software at speed and scale

Dynatrace

Organizations can customize quality gate criteria to validate technical service-level objectives (SLOs) and business goals, ensuring early detection and resolution of code deficiencies. Ultimately, quality gates safeguard code viability as it advances through the delivery pipeline. But how do they function in practice?

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

Dynatrace

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost.

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OKRs Examples for Software Companies

Tasktop

This is easier said than done, so we’ve designed three sets of OKRs examples for software companies to show how it’s possible. In these examples, the product value streams incorporate Flow Metrics into their key results to drive agility and a value focus. Examples of quarterly OKRs for software companies. Activities.

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Mitigating risk with AI observability: Dynatrace empowers organizations to embrace AI for all use cases

Dynatrace

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous.

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

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

Dynatrace

And now, it has become integral to organizations’ efforts to drive efficiency and improve productivity. 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. This means greater productivity for individual teams.

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

Dynatrace

As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.