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Data privacy by design: How an observability platform protects data security

Dynatrace

Creating an ecosystem that facilitates data security and data privacy by design can be difficult, but it’s critical to securing information. When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration.

Design 191
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Geek Reading - Week of June 5, 2013

DZone

These items are a combination of tech business news, development news and programming tools and techniques. Simpler UI Testing with CasperJS ( Architects Zone – Architectural Design Patterns & Best Practices). Using MongoDB as a cache store ( Architects Zone – Architectural Design Patterns & Best Practices).

Java 244
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Dynatrace launches automatic end-to-end observability via traces for AWS Lambda (Preview program)

Dynatrace

This additional insight enables you to design strategies for handling the effects of cold starts, like warming up your functions or configuring provisioned concurrency for your functions. From here you can use Dynatrace analytics capabilities to understand the response time, or failures, or jump to individual PurePaths. and Python.

Lambda 294
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Object-Oriented Programming Simplifies Digital Twins

ScaleOut Software

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

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Dynatrace introduces automatic vulnerability management for PHP

Dynatrace

The open-source scripting language PHP is used by over 78% of all websites that use a server-side programming language. Many application security products were designed before the rise of DevSecOps, containers, Kubernetes, and multicloud environments and so can’t keep up with rapid changes in these environments. Dynatrace news.

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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52
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Scalable Annotation Service?—?Marken

The Netflix TechBlog

All data should be also available for offline analytics in Hive/Iceberg. Base schemas Just like in Object Oriented Programming, our schema service allows schemas to be inherited from each other. Unlike Java, we support multiple inheritance as well. Like we discussed above there is a bounding box and time range in nanoseconds.