Systems | Development | Analytics | API | Testing

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Multi-Cluster & Multi-Cloud Service Meshes With CNCF's Kuma and Envoy

When we first created Kuma – which means “bear” in Japanese – we dreamed of creating a service mesh that could run across every cluster, every cloud and every application. These are all requirements that large organizations must implement to support their application teams across a wide variety of architectures and platforms: VMs, Kubernetes, AWS, GCP and so on.

Guide: Minimizing Waste in Your R&D Organization

Looking at modern software development practices, most of them aim at maximizing the output of your team and the quality of your software. Unless you’ve been living under a rock for the past 20 years you know of the agile development methodology and you’ve probably heard about the lean methodology. Both of these methodologies can be differentiated by a few factors, but they are pretty similar - they aim at delivering fast and to the point.

Cloudera Named Leader in The Forrester Wave: Notebook-Based Predictive Analytics and Machine Learning, Q3 2020

Cloudera has been named a Leader in The Forrester Wave™: Notebook-Based Predictive Analytics and Machine Learning, Q3 2020. At Cloudera, we are committed to always staying at the forefront of data and analytics innovation — enabling enterprises to more optimally work with data to deliver analytic results across the business quickly and securely.

Data Champions: Balancing IT and Business Needs

Digital transformation has been on the agenda for a long time, but the sudden need to respond to the unprecedented challenges of 2020, has meant the buzzword has become an executable reality for many enterprises. I recently came across a KPMG report that revealed that 80% of executives are increasing investments on emerging technologies now, to drive higher realized value in the future. Underlying digital transformation and investment decisions is a precious asset: data.

What data tells us about crime during lockdown

Recently, we took another look at our Chicago crime dataset to see what was different in crime as a result of the COVID-19 lockdown and what we found was fascinating. This is a dataset provided by the City of Chicago that tracks any type of reported crime. We often use it to demonstrate the power of Yellowfin. The first thing we saw was that a lot of crime went down. This chart shows crime rates in Chicago over the past two years.