June 2014 Summaries

The text discusses the upcoming Amazon Web Services Summit in NYC, where Redis will be present to engage with attendees about application development, cloud technology, and Redis. A list of sessions planned for attending is mentioned. Additionally, the author encourages scheduling a meeting with Cameron or himself during the event. They also offer their availability for questions and feedback via email or Twitter.

Redis provides various tools to improve efficient in-memory database usage, but misconfiguration can lead to operational challenges and performance issues. Replication buffers are memory buffers that hold data during slave synchronization with the master server, which can be limited, causing replication to restart from the beginning when the maximum is reached. To prevent this, initial configuration of the buffer according to expected changes and types of changes must take place. Redis default settings have a hard limit of 256MB and soft limit of 67MB, leading to infinite loop situations if the limits are not met, resulting in high memory usage and I/O operations. Increasing the output slave buffer size by setting both limits to 512MB can provide an immediate improvement, highlighting the importance of proper configuration.

Scopely is a rapidly growing mobile gaming company that has quadrupled in size in just three years, launching six consecutive Top-5 games on the Apple and Google App Stores. They turned to Redis for all their Redis needs due to its numerous developments and high level of experience, prioritizing responsiveness and support. Redis enabled Scopely to administer the best possible performance, handling various tasks such as game development, in-app purchases, communication flows, and monetization. Scopely's success with Redis showcases the importance of clear communication and instant response times, particularly in the mobile gaming industry. By leveraging Redis, Scopely was able to turn challenges into distant memories and achieve remarkable growth.

The Redis team will be attending MongoDB World next week and invites attendees to stop by their booth (#110). The author, who is also a Redis enthusiast, plans to attend the event to learn more about MongoDB and has selected several sessions to watch. To gain a deeper understanding of MongoDB, the author believes it's essential to comprehend how data is read and written, as well as how the database uses RAM to achieve optimal performance. Additionally, the author is interested in learning about MongoDB's integration with other areas such as the Cloud and Big Data. The author invites attendees to schedule meetings or contact them via email or Twitter if they have questions or feedback.

Our company has launched the official beta launch of its Redis Cloud service on IBM's BlueMix platform, which utilizes Cloud Foundry for rapid application development and management. The service is a managed Redis offering that taps into IBM's growing ecosystem of available services and runtime frameworks. To start using it, developers can sign up for a free 1GB subscription on IBM's SoftLayer, allowing them to integrate Redis Cloud with their BlueMix applications. The company invites users to explore its documentation and provide feedback through email or social media channels.

Today, the author proudly presents bmemcached-cli, a Python wrapper around python-binary-memcached that provides an easy way to interact with a Memcached bucket via a command line interface. The tool supports Simple Security and Authentication Layer (SASL) authentication, which is unique among Memcached clients. The author's company, Redis, offers a similar service for Memcached built on top of their Redis technology, and the Memcached Cloud service allows users to configure SASL authentication with ease. Unlike other CLI tools that only support plaintext protocol, bmemcached-cli also supports the binary protocol when SASL is enabled. The tool was written by standing on the shoulders of Andrew W. Gross's existing work, and it provides a useful solution for interacting with Memcached buckets in a secure manner.

Customer satisfaction is a top priority for Redis, as evidenced by their work with longstanding customer Pixlee. Pixlee's visual content marketing platform uses both Redis and Memcached to navigate the user-generated world of today. With changes in consumer behavior and increased sophistication in customer data, brands can use authentic customer voices to market and optimize content in real-time. Redis has provided Pixlee with top-notch hosting and monitoring support, including enterprise-class Redis and Memcached solutions and highly-resilient multi-zone support.

The Redis team is joining the Cloud Foundry community on June 9th-11th to celebrate cloud operations and open source. The event, known as the Cloud Foundry Summit, brings together developers, cloud operators, and industry experts to discuss technical topics, engineering roadmaps, and operational best practices. During the summit, attendees can expect to meet Redis experts and staff members, receive a free Redis Geek t-shirt, and participate in a featured session by Redis Co-Founder and CTO Yiftach Shoolman on building high performance applications with Cloud Foundry and Redis.

The author of the text was working on a memory fragmentation issue with a large database, specifically a Redis database. The problem arose from having over 500 million keys in the database, making it impractical to iterate through all keys to gather information about their size, TTL (time to live), and usage. To overcome this challenge, the author developed a Python script that uses random samples of the keys to estimate the required data. The script works by dividing the key range into bins and then generating a small number of random keys within each bin. It calculates the average size, TTL, and idle time for each bin, providing an estimate of the data that can be used instead of processing the entire database.