New Tech Forum

By Bernd Rücker, Eric Han, Maarit Widmann and Rosaria Silipo, Mark Troester, Rosaria Silipo, Vinicius Grippa

Low-code for the professional developer

5 ways the Progress Kinvey platform tailors low-code development to professional programmers

06/12/2019

6 keys to MongoDB database security

Don’t be the next MongoDB data breach. Close these holes in your MongoDB deployment before it’s too late

05/22/2019

How to tame event-driven microservices

Understanding flow behavior and making changes are the main challenges of choreographed microservices. A workflow engine can help

05/01/2019

Machine learning and data visualization for clickstream analysis

How to use the KNIME Analytics Platform to understand the behavior of website visitors

04/24/2019

When developers shouldn’t trust low-code platforms

Low-code and lock-in often go hand in hand. Watch out for these red flags when choosing a solution

04/17/2019

How to run stateful applications on Kubernetes

Take advantage of Portworx PX-Enterprise to simplify management of data-rich workloads on Kubernetes

04/10/2019

How to model time-series anomaly detection for IoT

Machines fail. By creating a time-series prediction model from historical sensor data, you can know when that failure is coming

04/03/2019

Essential microservices integration patterns

Real-world microservices implementations typically rely on both active and reactive communication patterns; here’s how they work

03/27/2019

How to migrate SQL Server 2008 applications to Azure

The clock is ticking on Microsoft’s Extended Support for SQL Server 2008/R2, unless you migrate to the Azure cloud. Here’s how

03/20/2019

How cloud-native technologies defeat cloud lock-in

Cloud-native applications are characterized by their ability to run in any cloud—and to be easily moved between clouds

03/13/2019

Why 35 percent of cloud spending is wasted

While cloud spending soars, companies fail to take advantage of cost controls, automation, and provider discounts

02/27/2019

5 reasons data science belongs in the cloud

Why laptop-hugging data scientists and server-hugging machine learning practitioners should consider letting go

02/20/2019

How to use deep learning to write Shakespeare

LSTM recurrent neural networks can be trained to generate free text. Let’s see how well AI can imitate the Bard

02/13/2019

The top 3 serverless problems and how to solve them

Follow these tips to eliminate noncompute bottlenecks, avoid provider throttling and queueing, and keep your serverless functions responsive

02/06/2019

Guided automation for machine learning

Implementing a web-based blueprint for semi-automated machine learning, using the open source Knime Analytics Platform

01/23/2019

How to automate machine learning

KNIME’s blueprint for guided automation allows business analysts to train, test, and tune machine learning models via web browser

01/16/2019

How to manage machine learning models

Monitoring and management not only keep models in tune, but can help streamline the machine learning process

01/09/2019

10 JavaScript concepts every Node.js developer must master

Want to build efficient and scalable Node.js apps? Learn how to make JavaScript work for you, not against you

12/13/2018

Software licensing: The blind spot in public cloud costs

Software licensing costs can be significantly higher for cloud instances than on-prem servers, or favor one cloud over others

12/05/2018

How to build a Redis Streams application

Get started with Redis Streams by creating an end-to-end solution for analyzing Twitter data

11/28/2018

Resources

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