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Intility unlocks digital innovations for its customers with Dynatrace

Dynatrace

The Dynatrace Platform already supported over 60 technologies and an extensible architecture – making Dynatrace the natural choice. Our integrations needed to work seamlessly so that downstream, our DevOps and IT teams would never encounter issues that could disrupt our digital transformation. Build a foundation that scales.

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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. Further, automation has become a core strategy as organizations migrate to and operate in the cloud. What is IT automation?

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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. The latest Amazon Lambda innovation, Lambda SnapStart, has day one support from Dynatrace. Understand and optimize your architecture.

Lambda 241
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Black Hat 2024: Observability for DevSecOps and scaled security posture management

Dynatrace

Currently, there is a tough balance to achieve: Organizations need to innovate rapidly at scale, yet security remains paramount. Converging observability with security Multicloud environments offer a data haven of increased scalability, agility, and performance. However, security concerns linger despite the potential benefits.

Analytics 199
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InfoSec 2022 guide: How DevSecOps practices drive organizational resilience

Dynatrace

But with this speed, agility, and innovation come new challenges. Adopting cloud-native technologies and open source software makes applications more feature rich and scalable, but it also increases IT complexity. Today, organizations can move faster and innovate more easily through software development. Read more now.

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Amplify PowerUP: From APM to Observability

Dynatrace

But the cloud is forcing a rethink of tooling, platforms, technologies, and services to power new, agile, applications and application components, that break down silos, and use AI and automation to accelerate innovation. DevOps and Cloud Ops Automation. Figure 6 DevOps automation and Cloud Ops automation use cases.

DevOps 237
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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.