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Tag: In-Memory
Data processing speed and reliability: in-memory synchronous replication

Feed: DB-Engines.com Blog. Author: Konstantin Nazarov, Tarantool. Blog > Postby , 9 November 2021Tags: Replication, TarantoolDespite the current difficult economic climate, large companies continue digitalizing their businesses. Mobile apps and personal dashboards have become indispensable service and communication channels, significantly increasing the load on IT infrastructure. There are many ways to deal with this load by improving system performance. One of the options is to use in-memory technology. But can it guarantee sufficient reliability? About ten years ago, the capacity of 1,000 queries per second was enough to process all card-related operations in a bank. Today, only investment deals in ... Read More
Choosing an In-Memory Database
Feed: SingleStore Blog. Author: . In a previous post on In-Memory Databases (IMDBs), Bobby Coates, Product Marketer at SingleStore, discussed what an in-memory database is and why it is useful and fast. In this post Bobby explains what to look for in an in-memory database, and shows how SingleStore fares against those capabilities.Choosing an In-Memory Database (IMDB)In-memory databases (IMDBs) are exploding in popularity. Wikipedia lists 42 different choices as of this writing (https://en.wikipedia.org/wiki/List_of_in-memory_databases). This popularity is increasing because IMDBs can significantly speed up a lot of very common tasks. From accelerating applications to providing faster analytics, IMDBs simply outperform traditional ... Read More
What is an In-Memory Database?
Feed: SingleStore Blog. Author: . Using real-world examples and plain language, Bobby Coates, SingleStore Product Marketer, provides a comprehensive overview of In-Memory Databases (IMDBs). Learn what an In-Memory Database (IMDB) is, why it is useful, and how it compares to a traditional database.In-memory databases get a lot of attention, but many folks don’t know what they are, why they’re different, and if they’re worth looking into. Let’s take a few minutes and talk about some of the differences between a traditional database and an in-memory database and why those differences are important. Why use an In-Memory Database?There are 3 main reasons ... Read More
Deploy ML Models to In-Memory Databases for Blazing Fast Performance
Feed: Redis Labs. Author: Steve Naventi. ANALYST STUDY A Forrester Consulting opportunity snapshot, sponsored by Redis Labs Redis Labs commissioned Forrester Consulting to survey IT decision makers responsible for ML/AI operations strategy. The study reveals that IT decision makers believe their current data architectures won’t meet future model inferencing challenges. There is a need for a modern AI infrastructure that can accelerate the ML lifecycle, improve interaction between data scientists and ML engineers, and above all, improve accuracy of ML. There are several components to this modern AI infrastructure, and Redis plays a key role in the low-latency storage and ... Read More
IT Resilience Within AWS Cloud, Part II: Architecture and Patterns

Feed: AWS Architecture Blog. In Part I of this two-part blog, we outlined best practices to consider when building resilient applications in hybrid on-premises/cloud environments. We also showed you how to adapt mindsets and organizational culture. In Part II, we’ll provide technical considerations related to architecture and patterns for resilience in AWS Cloud. Considerations on architecture and patterns The AWS Well-Architected Framework defines resilience as having “the capability to recover when stressed by load (more requests for service), attacks (either accidental through a bug, or deliberate through intention), and failure of any component in the workload’s components.” Resilience is an ... Read More
AWS Cloud Economics: Where Every Dollar Counts

Feed: AWS Partner Network (APN) Blog. Author: Narasimhan Balasubramanian. By Narasimhan Balasubramanian, Chief Architect, AWS Practice – Cognizant Organizations hosting workloads on the cloud are more flexible and scalable, something made possible by different service-level agreement (SLA) options. However, these come with varying costs, and the onus is on organizations to choose the appropriate service and cost. For those adopting cloud, financial governance and cloud economics have taken center stage. It’s imperative that companies adopt an appropriate governance policy to validate and monitor their cloud spend. Cloud cost management, or cloud optimization, is the organizational strategy that enables effective monitoring ... Read More
Journey to Adopt Cloud-Native Architecture Series: #2 – Maximizing System Throughput

Feed: AWS Architecture Blog. In the last blog, Preparing your Applications for Hypergrowth, we talked about hypergrowth and the technical challenges it presents to companies. As a reminder, we presented an example ecommerce company running a monolithic application on Elastic Compute Cloud (Amazon EC2). This application connects with Amazon Relational Database Service (Amazon RDS). The company recently experienced a hypergrowth event where user traffic grew exponentially (10 times) within a few days. During this event, we observed degraded performance at peak times. In this blog, we talk about improving performance by maximizing system throughput through incremental improvements to application and ... Read More
MySQL Database Service with High Availability

Feed: Planet MySQL; Author: Airton Lastori; MySQL Database Service is now easier to use and has flexible deployment options, including High Availability. While creating a new DB System using the web console, users can choose between Standalone, Highly Availability, and HeatWave deployments. The service will pre-populate the necessary fields with the recommended settings. You only need to provide the MySQL user name and password to get MySQL up and running. With the Standalone option, users get a single-instance MySQL DB System back-ended by the resilient and secure OCI Block Volumes. This option is the most common for test and development ... Read More
Unlocking e-commerce growth for CPG with data and analytics
Feed: Featured Blog Posts - Data Science Central. Author: Raghavendra Singh. CPG opportunities in the new normalThe COVID-19 pandemic has compelled businesses to shift to virtual marketplaces and CPG has been no different. Consumers are increasingly preferring online portals instead of brick-and-mortar stores and the time’s ripe for CPG companies to extend their digital reach. Some reports suggest that nearly 60% of consumers feared getting infected from visiting a physical store. This led to more than 50% ordering products online that they would otherwise normally purchase directly from the stores. As per the latest reports, the average spend per grocery ... Read More
Build a real-time streaming application using Apache Flink Python API with Amazon Kinesis Data Analytics

Feed: AWS Big Data Blog. Amazon Kinesis Data Analytics is now expanding its Apache Flink offering by adding support for Python. This is exciting news for many of our customers who use Python as their primary language for application development. This new feature enables developers to build Apache Flink applications in Python using serverless Kinesis Data Analytics. With Kinesis Data Analytics, you don’t need to maintain any underlying infrastructure for your Apache Flink applications and only pay for the processing resources that your streaming applications use. It handles core capabilities like provisioning compute resources, parallel computation, automatic scaling, and application ... Read More
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