Remove legacy-system-modernization
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How AI and observability help to safeguard government networks from new threats

Dynatrace

This is further exacerbated by the fact that a significant portion of their IT budgets are allocated to maintaining outdated legacy systems. By combining AI and observability, government agencies can create more intelligent and responsive systems that are better equipped to tackle the challenges of today and tomorrow.

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Amplify PowerUP: From APM to Observability

Dynatrace

The theme for the event focused on ‘APM to Observability’, which we’ll recap shortly within this blog. Typically, these projects span but are not limited to, DevOps Automation, Cloud Ops Automation, and Application Modernization. Application Modernization. Figure 7 The need for application modernization.

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

Dynatrace

As a result, the complexity of modern multicloud ecosystems continues to increase. Increasingly, organizations are turning to modern observability platforms to address the complexity of, and gain visibility into, cloud environments. – blog What is IT automation? That’s where a data lakehouse can help.

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AIOps and observability: The sense-think-act model for modern observability

Dynatrace

In multicloud environments, IT teams often struggle to take timely action given a deluge of data and alerts for issues ranging from system performance, security risks, and application problems. Observability technology is how modern IT teams “sense” what is going on with user experience, application performance, and infrastructure health.

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AWS re:Invent 2022 guide: Cloud application modernization remains key issue

Dynatrace

As a result, many organizations house various legacy technologies in their estates. Many organizations turn to cloud migration and cloud application modernization to gain the benefits of serverless environments, such as flexibility, scalability, and more cost-effective cloud infrastructure. . Instead, teams migrate it there over time.

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AIOps observability adoption ascends in healthcare

Dynatrace

As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation. That includes failures in parts of a system that occur at similar times and have a common root cause.

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Dynatrace extends automatic and intelligent observability to cloud and Kubernetes logs for smarter automation at scale

Dynatrace

The sheer number of used technologies, components, and services in use contributes to the growing complexity of modern cloud environments. Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. They are required to understand the full story of what happened in a system.

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