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Boost DevOps maturity with observability and a data lakehouse

Dynatrace

That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth. All of these factors challenge DevOps maturity. Data scale and silos present challenges to DevOps maturity DevOps teams often run into problems trying to drive better data-driven decisions with observability and security data.

DevOps 180
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How to boost SRE productivity with observability-driven DevOps

Dynatrace

DevOps and site reliability engineering (SRE) teams aim to deliver software faster and with higher quality. But, manual steps — such as reviewing test results and addressing production issues resulting from performance, resiliency, security, or functional issues — often hinder these efforts. The role of observability within DevOps.

DevOps 215
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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. Learn how security improves DevOps. AI is top of mind for security teams across every industry. What is DevSecOps?

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9 key DevOps metrics for success

Dynatrace

You have set up a DevOps practice. As we look at today’s applications, microservices, and DevOps teams, we see leaders are tasked with supporting complex distributed applications using new technologies spread across systems in multiple locations. DevOps metrics to help you meet your DevOps goals. Dynatrace news.

DevOps 196
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What is platform engineering?

Dynatrace

A platform encompasses a set of tools, services, and infrastructure that enables developers to build, test, and deploy software applications. Other aspects of the discipline — such as infrastructure as code, automation, and standardization — reduce extraneous manual processes to increase developer productivity.

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Shift left vs shift-right: A DevOps mystery solved

Dynatrace

The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.

DevOps 192
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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

These are the goals of AI observability and data observability, a key theme at Dynatrace Perform 2024 , the observability provider’s annual conference, which takes place in Las Vegas from January 29 to February 1, 2024. Join us at Dynatrace Perform 2024 , either on-site or virtuall y, to explore these themes further.