Real Time Fraud Analytics with Redis Labs & Simility
A real time fraud intelligence platform requires machine learning capabilities, instant response times, and to be truly effective - customizability by industry and the right level of human intervention. Simility has implemented a sophisticated platform, both as a service as well as on-premises software, delivering rapid fraud analytics across millions and billions of data points. To ensure high performance and rapid response times, Simility incorporated Redis in a complex scale out microservices based architecture to process millions of transactions per hour, as experienced by their more intense financial services and travel customers. Redis Labs provided the reliable seamless scaling and high availability they needed for effortless operation of their powerful application.
Join this session to learn more about how Simility implements real time detection of fraudulent behavior and their use of Redis Labs to maximize scale and availability.
- Real time fraud detection architecture and best practices with Redis
- How Redis Labs maximized scale and availability in Simility’s high volume fraud analytics system
Building High Performance Applications with Microsoft Azure and Redis Labs: Caching and Beyond
Applications today require a total response time of 100 milliseconds. In order to achieve this, your database must be able to perform at sub-millisecond response times. There is only one database to meet this new digital age demand with the least resources, Redis.
Why Redis? As one of the top 3 databases chosen by developers, Redis gained popularity as the most high-performing caching solution on the market. Today, it’s capabilities reach far beyond caching, including real time analytics, high-speed transactions, a message broker, job queue management and more. As the fastest database on the market today, Redis also has many attractive data types and commands for powering modern applications. In this webinar, you will learn:
- Why companies like Groupon, Intuit, Twitter, and Visa rely on Redis as a critical infrastructure component.
- How to leverage Redis Labs and Microsoft Azure to build high performing, big data applications.
- How Redis Labs allows users to deploy Redis with ensured high availability, stable and predictable top performance, persistence, and operational cost savings.
Old Dog, New Tricks: Modernizing Your Applications with Pivotal Cloud Foundry and Redis Labs
The next generation paradigm for modern applications is a highly responsive architecture coupled with an interactive and delightful user experience that anticipates, predicts and guides. Modern applications also have to cater to an audience that is increasingly mobile and has low tolerance for poor response times.
Join this session to learn how Pivotal CloudFoundry and Redis Labs’ highly available, seamlessly scalable, in-memory Redis can help you achieve applications that are rich, yet responsive as well as capable, yet agile.
You will learn about:
- How real time analytic techniques such as recommendations/personalization can modernize your applications
- How to achieve scale, high throughput, low latency with high availability
- How to get started with Pivotal CloudFoundry and Redis Labs
How to Get Started with Redis and Microsoft SQL Server
Microsoft SQL Server is a widely deployed relational database. Relational databases can be expensive, especially when you have demanding application performance requirements. Caching is a popular mechanism used to accelerate response times and help applications scale while reducing the load on RDBMS-es, and save on resources.
Redis is a widely used in-memory NoSQL database, which can be used as a database, cache and message broker. Join this webinar to learn how to get started with Microsoft SQL server and enterprise grade Redis from Redis Labs, ( in the form of downloadable software Redis Labs Enterprise Cluster or fully managed service, Redis Cloud).
Lynn Langit is an independent Cloud Architect. In addition to her production work on enterprise systems, Lynn also speaks, writes and educates on Cloud and Big Data topics world-wide. She has been recognized for her technical education work by many major vendors. Lynn is a Microsoft Data Platform MVP, Amazon Community Hero and Google Cloud Developer Expert. Her blog is at www.lynnlangit.com.
Troubleshooting Redis: Performance Insights with Redis Labs Enterprise Cluster
Redis is a critical layer in your application stack, and you want to maintain visibility and control into the performance of this vital component. Join this webinar to learn about common troubleshooting problems that you can resolve with visibility into critical Redis metrics such as “read”, “write” commands latency as well as throughput at the database, node and cluster levels.
Madhu Murty is a solutions engineer with 18 years of experience in the Database Security Space. He is skilled in application, datacenter, network and workflow design. Madhu has a M.A in Computers from MKU University.
Real Time, In-Process Analytics at Substantially Lower Costs with IBM and Redis Labs
With internet latencies in the 50 ms range, you need the performance of in-memory databases to handle millions of datapoints/sec with <1ms latencies and deliver timely responsive applications. The new analytics paradigm is real-time, instantaneous analytics delivered in time for on-the-fly decision making.
In this webinar, Leena Joshi, VP of Product Marketing at Redis Labs, will discuss how you can deliver high performance applications with cost effective infrastructure using Redis Labs Enterprise Cluster and IBM Power 8 systems. We will provide an in-depth view of:
- Why Redis Labs is the best choice for real-time analytics scenarios
- How the combination of RAM and Flash memory can help you extract big data insights at high performance, low latencies and up to 70% lower costs.
Register today to learn how POWER8 and Redis labs can simplify your data processing needs and decrease costs.
Leena has spent over fifteen years in the high tech industry in a variety of product marketing and product management roles. Most recently, she spent five years leading the Splunk solutions marketing team for IT operations, application management and application development. Prior to Splunk, she led product marketing for VMware’s flagship product VMware vSphere. She has also held product management and business operations roles at VMware, Intel and Accenture. Leena has a Bachelor of Engineering degree in computer technology from VJTI (the University of Mumbai), and a postgraduate degree in management from the Indian Institute of Management Calcutta.
Real time Recommendations with Redis, Java and Websockets
Ninad Divadkar is a software engineer with 10+ years of experience, 4+ years in each of C++, .NET and Java. He has been actively working on Spring for the past 3 years, and is an active member of the stackoverflow and github spring community.
Extending Redis with Modules
Itamar is a startup veteran, a database maven and an advocate for users. His varied experience includes software product development and management and leadership roles at Xeround, Etagon, Amicada and M.N.S Ltd.
Itamar holds a Master of Business Administration from the joint Kellogg-Recanati program by Northwestern and Tel-Aviv Universities, as well as a Bachelor of Science in computer science.
Running Analytics at the Speed of Your Business
Noel Yuhanna, a Forrester Analyst, has more than 25 years of experience in IT and has held various technical and management positions. He came to Forrester through its acquisition of Giga Information Group in 2003. Prior to joining Giga, Noel spent several years at Exodus Communications and led a group responsible for planning and implementing mission-critical enterprise applications including ERP, CRM, and other internal apps. Prior to Exodus, he served as a principal consultant, benchmark specialist, and data architect for Amdahl Corporation.
Leena Joshi, VP of Product Marketing at Redis Labs, has spent over fifteen years in the high tech industry in a variety of product marketing and product management roles. Most recently, she spent five years leading the Splunk solutions marketing team for IT operations, application management and application development. Prior to Splunk, she led product marketing for VMware’s flagship product VMware vSphere. She has also held product management and business operations roles at VMware, Intel and Accenture.
Scale Your App to Handle Millions of Requests
Lukas Sliwka, CTO of an online company Grindr, connecting people worldwide, delivered a mobile app that has achieved tremendous popularity with 2 million daily users (1 million per hour) exchanging 100 million chat messages in over 192 countries. While its capacity has doubled over the past 12 months, the IT team has maintained its ability to deliver high performance, low latency, and a reliable user experience. Learn about how the team managed to sustain this enormous speed and scale using Redis Labs and Amazon Web Services
Intro to Redis Use Cases with Dr. Josiah Carlson
Dr.Josiah Carlson, author of the book “Redis in Action” and general expert in all things Redis will talk about popular use cases of Redis.
You will learn about when you should use Redis, why Redis makes sense in high volume, high throughput scenarios and which data structures are right for you.
Top 3 Reasons Your Redis Needs RLEC
Redis, the world's most popular data structure store helps you achieve tremendous throughput at sub- millisecond latencies. Learn how RLEC adds enterprise class high availability with real time failover , seamless scalability and top notch management to open source Redis.
Why Your MongoDB Needs Redis
MongoDB has achieved pinnacles of popularity with developers - learn about different use cases that require you to use Redis with MongoDB to help solve data indigestion problems.
How To Achieve 1.5 Million ops/second with Redis
Lightning fast takes on a different meaning with Redis - not only can it get you to 1.5 million operations/sec with a single EC2 instance, it can help you achieve this with an arsenal of data structures and commands that deliver in-database analytics.
Gartner Acknowledges Redis Labs as a Leader
In the 2015 Magic Quadrant for Operational Database Management Systems (ODBMS)47
User Satisfaction and
Market Presence -
Redis Ranked as
#2 Database in
Recent Blog Posts
Top 10 Data Stores
Redis Labs is the open source home and commercial provider of Redis, a database benchmarked as the world’s fastest. Gartner has named the company as a Leader in it's 2015 ODBMS Magic Quadrant. Redis Labs' software and service solutions power cutting edge applications with blazing fast enterprise-class Redis and are trusted by thousands of customers for high performance, seamless scalability, true high availability and best-in-class expertise. Redis is ranked the #1 NoSQL (and #2 database) in User Satisfaction and Market Presence by G2 Crowd, the top database technology on Docker by Datadog, the most popular NoSQL database in containers by DevOps.com and ClusterHQ, the #1 NoSQL among Top 10 Data Stores by Stackshare and both the fastest growing database since January 2013 and one of the top three NoSQL databases by DB-engines.