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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. Other data types will be available soon).

Storage 166
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DBaaS Pros & Cons

Scalegrid

A DBaaS automates several processes, such as using, erasing, and spinning up storage without interventions from IT staff. Automated backups mean your database will never be lost and it will always be available for your company. You don’t need to purchase additional storage when you have a self-managed cloud database.

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Kubernetes in the wild report 2023

Dynatrace

That trend will likely continue as Kubernetes security awareness further rises and a new class of security solutions becomes available. Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. This corresponds to an annual growth rate of +55%.

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OpenShift vs. Kubernetes: Understanding the differences

Dynatrace

Kubernetes also gives developers freedom of choice when selecting operating systems, container runtimes, storage engines, and other key elements for their Kubernetes environments. Like Kubernetes, it allocates resources efficiently and ensures high availability and fault tolerance.

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What Is PostgreSQL Used For?

Percona

PostgreSQL has powerful and advanced features, including asynchronous replication, full-text searches of the database, and native support for JSON-style storage, key-value storage, and XML. How-to documentation is readily available. It has evolved steadily, however, during 25 years as an open source project.

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Act locally, connect globally with IoT and edge computing

All Things Distributed

Healthcare providers can provide remote monitoring of patient health—improving patient care. Because these IoT devices are powered by microprocessors or microcontrollers that have limited processing power and memory, they often rely heavily on AWS and the cloud for processing, analytics, storage, and machine learning.

IoT 126
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Observations on the Importance of Cloud-based Analytics

All Things Distributed

AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling. I have seen our customers do so many radical new things with the analytics tools that our partners and us make available that I have made a few observations I would like to share with you.

Analytics 135