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What is security analytics?

Dynatrace

As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. Fortunately, CISOs can use security analytics to improve visibility of complex environments and enable proactive protection. What is security analytics? Why is security analytics important? Here’s how.

Analytics 220
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Five-nines availability: Always-on infrastructure delivers system availability during the holidays’ peak loads

Dynatrace

For organizations running their own on-premises infrastructure, these costs can be prohibitive. Cloud service providers, such as Amazon Web Services (AWS) , can offer infrastructure with five-nines availability by deploying in multiple availability zones and replicating data between regions. What is always-on infrastructure?

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DBaaS vs Self-Managed Cloud Databases

Scalegrid

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. Traditional self-managed ones give organizations full control over their database infrastructure, such as picking the software and scaling it up.

Database 130
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What is cloud application security?

Dynatrace

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. What are some key characteristics of securing cloud applications?

Cloud 168
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Monitoring Distributed Systems

Dotcom-Montior

With the rapid advancements in web application technologies, programming languages, cloud computing services, microservices, hybrid environments, etc., This complexity is “hidden” to the end user, like how an API (Application Programming Interface) operates, whether that is an actual user or another computer. Concurrency.

Systems 74
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Dutch Enterprises and The Cloud

All Things Distributed

Shell leverages AWS for big data analytics to help achieve these goals. Unilever – Unilever R&D program intended to accelerate the company’s scientific progress through improved access to global information. Shell''s scientists, especially the geophysicists and drilling engineers, frequently use cloud computing to run models.

Cloud 129
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5 tips for architecting fast data applications

O'Reilly Software

The low-level streaming implementations of the mentioned engines require specialized knowledge in order to program new applications. Mesos achieves that unification by aggregating the infrastructure resources, and then offering resources slices, like x CPUs, y MB RAM, and z GB disk, to applications.