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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 174
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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. Therefore, these organizations need an in-depth strategy for handling data that AI models ingest, so teams can build AI platforms with security in mind.

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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 185
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Dynatrace Perform 2022: Themes to watch at Dynatrace’s annual conference

Dynatrace

Over the past 18 months, the need to utilize cloud architecture has intensified. As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to the activity in their multi-cloud environments. Modern cloud-native environments rely heavily on microservices architectures.

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Tackling cloud modernization

Dynatrace

Dynatrace recently hosted a webinar featuring Forrester Principal Analyst Lee Sustar on the current state of cloud modernization, the need to undergo this change, and how and why partners are a necessity rather than a nice-to-have in the cloud modernization process. But what is cloud modernization? .

Cloud 147
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Four observability trends IT leaders should have on the radar in 2023

Dynatrace

There will be a growing focus on solutions that enable teams to mature their DevOps and BizDevOps-centric strategies into a more holistic SecDevBizOps approach, combining security, development, and IT practices with business analytics.

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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.