Dynatrace

JANUARY 31, 2024

Organizations need to ensure their solutions meet security and privacy requirements through certified high-performance filtering, masking, routing, and encryption technologies while remaining easy to configure and operate. Filtering data is crucial for privacy and compliance to minimize the exposure of sensitive data.

Analytics 194

Analytics Processing Transportation Storage 194

Dynatrace

JULY 31, 2020

Cloud-based solutions typically aren’t a viable option or enterprises that have strict security or privacy policies that require their data to be maintained on-premise. Some time ago we released a quick-start template for deploying Managed clusters on AWS infrastructure and Microsoft Azure is supported as well.

Cloud 209

Cloud Availability Azure Google 209

Dynatrace

JANUARY 20, 2022

Azure supporting services (Synapse Analytics). Settings security policies. Fixed a bug that prevented updating Session Replay privacy settings from REST API. (APM-345827). Otherwise, Session Replay will stop working once Dynatrace SaaS version 1.238 is live. Masking v1. Masking v2. See Available metrics. APM-343668).

Lambda 180

Lambda AWS Metrics Azure 180

Scalegrid

MARCH 14, 2024

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

Strategy Cloud Artificial Intelligence Infrastructure 130

Abhishek Tiwari

JULY 22, 2023

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

AWS Best Practices Infrastructure Traffic 52

O'Reilly

NOVEMBER 28, 2023

In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. Another piece of the same puzzle is the lack of a policy for AI use.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

O'Reilly

FEBRUARY 18, 2020

Interest in cloud service provider platforms mirrors that of the industry as a whole: Amazon and AWS-related usage increased by 14%, year-over-year; Azure usage, on the other hand, grew at a speedier 29% clip, while Google Compute Platform (GCP) surged by 39%. This is true, to a degree, of the activity on O’Reilly online learning, too.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134