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Why Choose a Composable Architecture

Perficient

If you’ve been following Sitecore’s architectural movement over the last few years, a lot has changed. However, with a composable architecture, your organization can easily utilize another enterprise product in place of Sitecore’s offering, and this kind of flexibility is integrated into the very nature of a composable architecture.

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Scalable Annotation Service?—?Marken

Netflix Tech

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. Annotations Sometimes people describe annotations as tags but that is a limited definition. zookeeper service, internationalization service etc.

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As insurers look to be more agile, data mesh strategies take centerstage

CIO

Ever-shifting domain-level business logic and architectures add to the workload of overwhelmed central data teams, which results in difficult, misaligned metric reporting and declining data reliability. Enter data mesh.

Insurance 246
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Radically simplify and expand Zero Trust to cloud workload

CIO

1 Moreover, the public cloud is easy to use and is extremely scalable. Many organizations rely on legacy security architectures to secure their cloud workloads. This eliminates the need for manual configurations and enterprise organizations can now effortlessly integrate security definitions based on cloud attributes.

Cloud 246
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Improving Postgres Connection Scalability: Snapshots

The Citus Data

I recently analyzed the limits of connection scalability , to understand the most effective way to improve Postgres’ handling of large numbers of connections, and why that is important. that the most pressing issue is snapshot scalability. all the connection scalability changes have been merged. I concluded.

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Cluster Management in Cassandra: Achieving Scalability and High Availability

Datavail

Apache Cassandra is a highly scalable and distributed NoSQL database management system designed to handle massive amounts of data across multiple commodity servers. Its decentralized architecture and robust fault-tolerant mechanisms make it an ideal choice for handling large-scale data workloads.

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5 modern challenges in data integration and how CIOs can overcome them

CIO

For example, two data sources may have different data types of the same field or different definitions for the same partner data. This complicates synchronization, scalability, detecting anomalies, pulling valuable insights, and enhancing decision-making. or databases such as Oracle, MongoDB, MySQL, etc.

Data 317