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Privacy spotlight: Retain data in Grail with 1-day precision, for up to 10 years

Dynatrace

Streamline privacy requirements with flexible retention periods Data retention is a critical aspect of data handling, and it’s not just about privacy compliance—it’s about having the flexibility to optimize data storage times in Grail for your Dynatrace use cases.

Storage 164
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Optimize mobile app performance, adoption, and conversions with Session Replay and business analytics

Dynatrace

New technologies like Xamarin or React Native are accelerating the speed at which organizations release new features and unlock market reach. How do I solve issues quickly while meeting every regional data privacy regulation? Most monitoring tools lack stringent data privacy controls, which could impact the data privacy of end-users.

Analytics 203
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Mastering Hybrid Cloud Strategy

Scalegrid

Effective hybrid cloud management requires robust tools and techniques for centralized administration, policy enforcement, cost management, and modern infrastructure practices like Infrastructure-as-Code (IaC) and containers.

Strategy 130
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Pre-Deployment Policy Compliance

Abhishek Tiwari

However, amidst the drive for speed, ensuring policy compliance is often overlooked, leading to potential security vulnerabilities and compliance risks. Pre-deployment policy compliance, supported by policy as code frameworks such as Sentinel, Open Policy Agent (OPA), Conftest, etc.

AWS 52
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iOS Engine Choice In Depth

Alex Russell

How does Apple justify such a policy ? The purpose of this rule is to protect user privacy and security. Nefarious websites have analysed other web browser engines and found flaws that have not been disclosed, and exploit those flaws when a user goes to a particular website to silently violate user privacy or security.

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Cache and Prizes

Alex Russell

Before we get into it, let's make the subtext of the proposal explicit: Libraries provided this way will be as secure and privacy-preserving as every other browser-provided API. Browsers now understand the classic shared HTTP cache behaviour as a privacy bug. Which way should the policy go? Spoiler: it's gnarly. Common Sense #.

Cache 82
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How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

Our data teams also invest in building more transparency around our security and privacy to support progress in reducing threats and hazards faced by our micro-services or internal stakeholders. How can we develop templated detection modules (rules- and ML-based) and data streams to increases speed of development?