Systems | Development | Analytics | API | Testing

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Accelerate Your Time Series Analytics with Snowflake's ASOF JOIN, Now Generally Available

Time series data is everywhere. It captures how systems, behaviors and processes change over time. Enterprises across industries, such as Internet of Things (IoT), financial services, manufacturing and more, use this data to drive business and operational decisions. When using time series data to perform analytics and drive decisions, it’s often necessary to join several data sets.

Enterprise-Grade Service Mesh: A Reference Architecture with OpenShift, Istio, and Kong

The service mesh architecture pattern has become a de facto standard for microservices-based projects. In fact, from the mesh standpoint, not just microservices but all components of an application should be under its control, including databases, event processing services, etc.

All You Need to Know About Data Aggregation

Data aggregation is the process of combining and summarizing data from disparate sources into a cohesive dataset. It prepares data for analysis, making it easier to obtain insights into patterns and insights that aren’t observable in isolated data points. Once aggregated, data is generally stored in a data warehouse. Then, you can leverage it to gain a holistic perspective on your operations and market trends, design effective risk management practices, and make more informed decisions overall.

Enterprise-Grade Service Mesh: A Reference Architecture with OpenShift, Istio, and Kong

This video explores how to integrate Red Hat OpenShift Container Platform, Istio Service Mesh, and Kong Ingress Controller. It shows a reference architecture with Keycloak as the identity provider running on an OpenShift cluster with Istio service mesh, sample applications, and Kong Ingress Controller. Three sample applications are showcased.