December 2020 Summaries

In this Advice to Our Younger Selves series, Maygol Kananizadeh shares insights from her career journey in tech. Starting as a software engineer at Intel, she eventually pivoted into technical product marketing at Redis. She emphasizes the importance of listening actively and giving credit where it's due. For those aspiring to work in tech, she advises never to stop learning and to invest in building human relationships at work. Maygol also shares tips for starting connections with new people at work, such as attending meetups or reaching out directly through messaging.

AWS Lambda is a serverless compute runtime that allows applications to run functions on demand in response to specific events, making it suitable for building event-driven architecture (EDA) applications. It can be invoked using various methods, including directly from the AWS Console, using events from other AWS services, or even from the AWS Console, CloudWatch, or S3 events. However, it is a stateless environment, and developers often use Redis to manage state between services or calls. Redis Enterprise Cloud provides a fully managed service on AWS that offers rich query and search functionalities, persistence, high performance, and security, making it an ideal choice for applications that require more than just simple state management. By integrating AWS Lambda with Redis Enterprise Cloud, developers can build scalable and efficient applications using a serverless architecture. The integration allows developers to use the RediSearch API to provide rich query and search functionalities, and also leverages other promising data models such as graph, JSON, time series, and Bloom filters.

The DevOps movement is leading digital transformation efforts in many enterprises, focusing on application and infrastructure modernization to unlock the potential of the digital economy. Application performance lags can have a significant impact on customer experience and business success, making data processing fast enough to keep up with consumers' demand for real-time performance essential. NoSQL databases, such as Redis, are well-suited for flexible data storage and manipulation needs, and DevOps teams strive to deploy and manage their databases seamlessly, integrating them into the continuous integration/continuous deployment (CI/CD) pipeline. Redis Enterprise is a popular choice due to its ease of implementation, high performance, and low latency, making it an ideal solution for DevOps teams seeking to satisfy critical requirements such as high availability, scalability, global distribution, and multi-tenancy. With its platform-agnostic stance, Redis Enterprise provides a tightly integrated solution with various cloud platforms and applications, enabling rapid deployment, streamlined operations, and reduced management overhead.

RedisTimeSeries is a module in Redis designed to store, aggregate, and query time-series data. It allows users to create time series for different metrics such as stock prices and technical indicators, and perform various operations like aggregations, queries, and filtering. The module can ingest millions of events and offers features like range and standard deviation calculations, which can be useful in analyzing financial data. RedisTimeSeries provides a powerful way to query across multiple time series at once using filters and allows users to easily visualize their data in dashboards and charts. Its schemaless design makes it easy to adapt to changing business circumstances, and its real-time performance and simple developer experience make it an attractive choice for building financial applications.

This blog post discusses how the shift to online shopping has led to a significant decline in retail stores, with over 35,000 stores predicted to close in 2020. Many retailers are struggling to compete online due to their legacy technology and infrastructure, which can be costly to manage and throttle innovation. However, embracing cloud technology can help modernize IT infrastructures and deliver a great customer experience. Cloud-native applications offer faster and more responsive performance, scalability, and cost-effective pricing models. By leveraging the right technology both online and in-store, brick-and-mortar retailers can break the vicious cycle of declining foot traffic and frustrated customers, and turn physical locations into assets instead of liabilities.