Scalability Related Topics 
CIO
JANUARY 30, 2025
From data masking technologies that ensure unparalleled privacy to cloud-native innovations driving scalability, these trends highlight how enterprises can balance innovation with accountability. Organizations that leverage these advancements will enhance scalability, ensure compliance, and drive meaningful insights.
Dzone - DevOps
MARCH 28, 2025
The architecture downstream ensures scalability, cost efficiency, and real-time access to applications. This blog post discusses an end-to-end ML pipeline on AWS SageMaker that leverages serverless computing, event-trigger-based data processing, and external API integrations.
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AWS Machine Learning - AI
OCTOBER 29, 2024
To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. Conclusion In this post, we’ve introduced a scalable and efficient solution for automating batch inference jobs in Amazon Bedrock. This automatically deletes the deployed stack.
DevOps.com
JANUARY 6, 2025
Micro-frontend is a new and effective approach to building data-dense or heavy applications as well as websites. Building micro-frontend applications enables monolithic applications to divide into smaller, independent units.
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Apache Cassandra is an open-source distributed database that boasts an architecture that delivers high scalability, near 100% availability, and powerful read-and-write performance required for many data-heavy use cases.
Ooda Loop
FEBRUARY 3, 2025
has unveiled what they describe as the world’s first scalable, connected, photonic quantum computer prototype. A team of engineers, physicists and computer specialists at Canadian company, Xanadu Quantum Technologies Inc.,
CIO
DECEMBER 20, 2024
According to data platform Acceldata , there are three core principles of data architecture: Scalability. Modern data architectures must be scalable to handle growing data volumes without compromising performance. Scalable data pipelines. Seamless data integration.
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
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That’s why we developed this white paper to give you insights into four key open-source technologies – Apache Cassandra®, Apache Kafka®, Apache Spark™, and OpenSearch® – and how to leverage them for lasting success.
Advertiser: Data Robot
Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability. How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects?
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Learn 8 strategies to use data and technology to create scalable yet personalized ABM programs. Evolve beyond account-based marketing and create a hyper-personalized approach that considers stakeholders as individuals. Download the guide.
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Hear from Product Managers across a variety of industries on what they see as most important for ensuring mobile reliability, and gain a better understanding of what it takes to build scalable and secure mobile apps.
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Additionally, the flexibility to adjust staffing levels enhances scalability. This approach often leads to cost savings compared to local or distant offshore hires and promotes easy integration with existing teams, fostering cooperation and knowledge sharing.
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Flexibility and scalability. The following checklist is built to help you evaluate the scope of services offered by various encryption solutions on the market and covers questions on the following topics: Encryption. Key management system. User authentication and advanced security factors. Enterprise features.
Speaker: Sam Owens, Product Management Lead, Namely Platform
To make things tougher, they needed something flexible, scalable and capable of serving different user types. Sam and Jessica faced a problem that many product managers face: their customers wanted better analytics and reporting, but analytics wasn’t the core function of the SaaS product Sam and Jessica manage.
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