Systems | Development | Analytics | API | Testing

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Kuma 0.7.0 Released With New "Zone" Resource, New ProxyTemplate, StatefulSet support And More!

We are happy to announce the general availability of Kuma 0.7! This is very big release that includes countless improvements and updates, specifically when it comes to multi-zone deployments configuration and Kubernetes deployments. We strongly suggest to upgrade to this new version while paying attention to a few breaking changes that 0.7 introduces. For a complete list of features and updates, take a look at the full changelog.

Five Ways to Improve Developer Velocity

Hans Ulrich Obrist once said that “everything I do is somehow connected to velocity”. We couldn’t agree more. As is in most companies, there’s always something affecting your team’s velocity, whether that’s a new work from home routine, a change in budget, or a variety of other reasons. So many influences are out of your control- how do you make sure that your devs are working at optimal velocity?

Automating Healthcare Data to Improve Patient Outcomes

Healthcare organizations like yours are riddled with mountains of data and document streams coming in each day. Whether it’s patient records, claims, denials, remits, or clinician credentials… the list goes on. All these items can quickly create chaos and confusion without proper organization protocols in place to handle this data deluge. When employees are tasked with manually handling inbound document management, there is the potential for a wide array of complications, including.

Meeting Medical Device Data Privacy, Governance, and Security Challenges

Medical devices have become increasingly complex as technology evolves, and the sheer number of these devices now being worn or implanted has grown exponentially over the past few years. There are currently over 500,000 different types of smart, connected medical devices in use that have the ability to collect, share, or store private patient data and protected health information (PHI)(1).

Snowflake Helps Finnair Improve Customer Experience with Cloud Data Analytics

Coronavirus has impacted the travel industry, but as it adapts, there is one factor airlines have always worked hard to minimize: delayed flights. Arriving late or missing a connection can severely impact the customer experience, which is why airlines work hard to maintain high rates of on-time performance (OTP). To that end, pilots may have to use extra fuel to make up for a delayed departure or to reach a destination early, even if it means circling the airport before landing.

Faster Analytics with Cloudera Data Warehouse (CDW) Demo Highlight

The cloud-led journey to digital transformation requires organizations to become significantly more data-driven, yet traditional data warehouses have difficulty with new data volumes, new data types, and a variety of use cases. In this session, we will show you how Cloudera Data Warehouse offers a guide to your cloud journey by offering a modern hybrid cloud solution for an unprecedented scale that delivers insight to every part of your organization, faster while saving costs.

Predicting 1st-Day Churn in Real-Time - MLOps Live #7 - With Product Madness (an Aristocrat co.)

Michael Leznik - Head of Data Science Matthieu Glotz - Data Scientist Yaron Haviv - CTO & Co-Founder We discuss how technology and new work processes can help the gaming and mobile app industries predict and mitigate 1st-day (or D0) user churn in real time — down to minutes and seconds using modern streaming data architectures such as KAPPA. Also, we explore feature engineering improvements to the RFM (Recency, Frequency, and Monetary) churn prediction framework: The Discrete Wavelet Transform (DWT).

Observability For Your Microservices Using Kong, Kubernetes, and Prometheus

In this video, Kevin Chen, Developer Advocate at Kong, will explain how to set up Prometheus monitoring with Kong Gateway to get black box metrics and observability for all of your services deployed on Kubernetes. This guide can also be applied to other solutions like StatsD, Datadog, Graphite, InfluxDB etc.