As cloud services become more granular, more functionality can be had “as a service.” Two new interesting services caught my eye, and so I present this column as a service to you, dear readers. The first is “failure as a service,” which sounds counterintuitive. Wouldn’t people rather have success as a service? Most would, I’m … continue reading
Python has grown significantly in popularity since its initial release in 1991. The open source language now consistently ranks among the world’s most popular programming languages, having overcome those who claimed it was too slow or couldn’t scale. In fact, these days, leaders such as PayPal, Instagram and Yelp use Python as part of their … continue reading
Real-time application performance monitoring company NodeSource announced the release of N|Solid 3.1 today, bringing a new debugging tool to their Node.js application development, management, security and analysis platform, alongside other new features. NodeSource says the new tool, which utilizes cross-process snapshot diffing, can help teams spot memory leaks more quickly. While the technique has been … continue reading
After popular demand, Google has announced it is expanding MongoDB availability across most Google Cloud Platform regions as well as on Cloud Launcher. MongoDB is available on Google Cloud through its database-as-a-service solution, MongoDB Atlas. “With over 35 million downloads and customers ranging from Cisco to Metlife to UPS, MongoDB is one of the most … continue reading
Netflix is launching a public bug bounty program in order to improve the security of their solutions as well as strengthen their relationship with the security community. The program will be available through Bugcrowd. “Netflix’s goal is to deliver joy to our 117+ million members around the world, and it’s the security team’s job to … continue reading
Have you ever stopped to think about how much personal data is floating around the world or in your company’s databases? You may have decades’ worth of salaries, addresses, job applications, social security numbers, credit card numbers and on and on. If you factor in social media groups where we’ve willingly handed over our personal … continue reading
Io-Tahoe today announced the general availability of its smart data discovery solution, with the addition of a new machine-learning Data Catalog feature that enables the creation of business rules and policy definition. The announcement reflects the growing need for data to drive business decisions, and for BI tools that the business side can use to … continue reading
IBM is embracing artificial intelligence with the launch of IBM Cloud Private for Data. The platform consists of integrated data science, data engineering and app building services. According to IBM, it is designed to help organizations accelerate their AI journeys and increase productivity. “Whether they are aware of it or not, every company is on … continue reading
The Apache Software Foundation has announced the latest version of Apache Ignite. Ignite is an open-source distributed database, caching and processing platform designed for transactional, analytical and streaming workloads. Apache Ignite 2.4 features new machine learning capabilities, Spark DataFrames, and the incorporation of a low-level binary client protocol. According to the Ignite team, while a … continue reading
Microsoft’s Service Fabric Team announced the open-source release of Azure Service Fabric under the MIT license yesterday. The team behind the distributed systems platform, designed to easily package, deploy and manage scalable and reliable microservices and containers, will be transitioning to a completely open development process on GitHub over the coming months. While the Service … continue reading
Let’s imagine… Jump a few years into the future. All the hoopla about IoT is history. A lot of equipment comes with network interfaces. The software embedded in the equipment uses resources on the network to get its job done. Imagine a new machine being installed in a factory. It’s in position, the mechanical setup … continue reading
The most challenging obstacle facing companies is recognizing if they have a valid use case requiring the use of Big Data technologies. Having a large amount of data does not necessitate the deployment of a Big Data solution architecture. A company should only determine to use a Big Data solution based on the characteristics and its intended use. This allows actionable insights … continue reading
