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How Developer Observability is Transforming Dev Role

Hacker Earth Developers Blog

As we embrace the reliability, agility, and innovative potential of the multi-cloud environment, observability in DevOps grows more critical. Businesses are under escalating pressure to deliver swift continuity, quick fixes, and innovative, high-quality end-user experiences. Customers want fast fixes and innovative new features.

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CIO playbook: Rebalancing your portfolio in a multicloud world

CIO

This has never been truer than in the digital era, where IT leaders consume a variety of on-premises and cloud technologies as they continually modernize their businesses. This includes migrating to different tools, based on changing requirements such as performance, latency, resiliency, and security, as well as cost efficiency.

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Mastering Cloud Transformation for Business: Enterprise Migration

Perficient

If done well, this is where your organization achieves true cloud maturity and is on its way to unlocking the incredible innovation possible with modern cloud, including data & analytics, AI / ML and automation – and lowering capital investments in data centers, support vendors and licensing commitments. Unknown dependencies?

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Mastering Cloud Transformation for Business: Program Model

Perficient

In this series of blog posts, we will explore the four pillars of a successful Cloud Transformation: Program Model, Cloud Foundations, Portfolio Transformation, and Enterprise App Migration. Nearly half are taking a cloud-native-first approach, and nearly all continue to modernize to meet operational agility and business capability demands.

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The Network Also Needs to be Observable, Part 2: Network Telemetry Sources

Kentik

Most of the history of network operations has been supported by monitoring tools, mostly standalone, closed systems, seeing one or a couple of network element and telemetry types, and generally on-prem and one- or few-node, without modern, open-data architectures. Consider the Range of Network Telemetry Sources and Observation Points.

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App Modernization in the Digital Age: The Role of AI and ML in Application Modernization

OTS Solutions

In today’s fast-paced digital age, one way to achieve transformation in existing services is through app modernization, which involves updating or transforming existing apps to meet current industry standards and user demands. How and Where AI and ML Used in Application Modernization 1.

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App Modernization in the Digital Age: The Role of AI and ML in Application Modernization

OTS Solutions

In today’s fast-paced digital age, one way to achieve transformation in existing services is through app modernization, which involves updating or transforming existing apps to meet current industry standards and user demands. How and Where AI and ML Used in Application Modernization 1.