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What is Cloud Computing? According to ChatGPT.

High Scalability

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. It allows users to access and use shared computing resources, such as servers, storage, and applications, on demand and without the need to manage the underlying infrastructure. Can you expand?

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Redis vs Memcached in 2024

Scalegrid

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses.

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AWS serverless services: Exploring your options

Dynatrace

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. Scalability. Finally, there’s scalability.

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Dynatrace SaaS on Azure now Generally Available

Dynatrace

Dynatrace captures all your data, including host and application metrics, basic-network metrics, real-user metrics, mobile metrics, cloud-infrastructure metrics, log metrics, and much more. All data at rest is stored in Azure Storage and is encrypted and decrypted using 256-bit AES encryption (FIPS 140-2 compliant).

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DBaaS Pros & Cons

Scalegrid

As CTOs, database developers & experts, and DBAs seek more efficient, secure, and scalable cloud services solutions, DBaaS emerges as a compelling choice. This surge aligns with the 62% of companies reporting substantial data growth, underscoring the escalating need for scalable and agile database solutions.

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What Is a Workload in Cloud Computing

Scalegrid

Storage is a critical aspect to consider when working with cloud workloads. High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it. This also aids scalability down the line.

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Conducting log analysis with an observability platform and full data context

Dynatrace

“Logs magnify these issues by far due to their volatile structure, the massive storage needed to process them, and due to potential gold hidden in their content,” Pawlowski said, highlighting the importance of log analysis. Business leaders can decide which logs they want to use and tune storage to their data needs.

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