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What is cloud monitoring? How to improve your full-stack visibility

Dynatrace

With more organizations taking the multicloud plunge, monitoring cloud infrastructure is critical to ensure all components of the cloud computing stack are available, high-performing, and secure. Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 220
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Mastering Hybrid Cloud Strategy

Scalegrid

Key Takeaways A hybrid cloud platform combines private and public cloud providers with on-premises infrastructure to create a flexible, secure, cost-effective IT environment that supports scalability, innovation, and rapid market response. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130
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What is a Distributed Storage System

Scalegrid

Consequently, if any node happens to fail, the remaining ones provide continued access to the saved information without risking service interruptions or permanent data loss. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130
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Kubernetes in the wild report 2023

Dynatrace

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes moved to the cloud in 2022.

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What is IT automation?

Dynatrace

With ever-evolving infrastructure, services, and business objectives, IT teams can’t keep up with routine tasks that require human intervention. Automating IT practices without integrated AIOps presents several challenges. Big data automation tools. How organizations benefit from automating IT practices.

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DynatraceGo! APAC 2021: Lessons in thick data and keeping pace with the market

Dynatrace

Vikash Chhaganlal , GM of Engineering and Infrastructure at Kiwibank said it. She dispelled the myth that more big data equals better decisions, higher profits, or more customers. Investing in data is easy but using it is really hard”. The fact is, data on its own isn’t meaningful. And they were.

DevOps 246
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Ensuring Performance, Efficiency, and Scalability of Digital Transformation

Alex Podelko

Even when I took out the sessions that don’t directly cover the topics of my primary interests as well as mainframe-specific presentations, I ended up with 21 sessions in 2.5 How to select appropriate IT Infrastructure to support Digital Transformation by Boris Zibitsker, BEZNext. Something we all struggle with.