Company security usually depends on your ability to come up with a diverse set of passwords and then manage them. Remembering all of them is considered a tad too difficult for most mere mortals, so a number of password storage apps have emerged. But they too have to be secured, and ultimately results in inefficient access and flawed security. Single-sign on (SSO) is still preferred, but to make it effective, companies like Okta have to secure integration across a number of apps.

Binary classification aims to separate elements of a given dataset into two groups on the basis of some learned classification rule. It has extensive applications from security analytics, fraud detection, malware identification, and much more. Being a supervised machine learning method, binary classification relies on the presence of labeled training data that can be used as examples from which a model can learn what separates the classes.

Like the sailor in Coleridge’s “The Rime of the Ancient Mariner,” who is surrounded by salt water that he cannot drink, many financial services professionals contend with similar challenges: data is all around them, but it’s not doing them much good. Firms need to drink deeply from their data, developing greater expertise not only at data discovery, but also at data valuation. Because at this point, data is the only true source of ompetitive differentiation.

As a developer-focused company, InfluxData is always interested in how the community is doing. During the first two weeks of April, we conducted an online survey to find out how developers are handling life and work during the COVID-19 pandemic. A total of 324 self-identified software developers/engineers from across the world responded (46% from North America, 44% from Europe, 9% from South America, and 1% from Africa) to share their feelings during this unprecedented global event.

With most of the world on lockdown due to the COVID-19 virus, many aspects of IT services and digital transformation have been put into the fast lane. There are reports of massive surges in the use of tools such as Zoom, Microsoft Office 365, etc. in order to communicate and collaborate. At the same time organizations are required to scale up access to their internal applications.

Businesses who operate along supply chains, like manufacturers, distributors, and retailers, have innovative systems and processes for predicting demand and keeping consumers satisfied. Until a crisis hits. When demand for essential SKUs spikes due to panic buying and fear-based hoarding, organizations in essential consumer categories can find themselves forced to make critical decisions without reliable information to base them on, significantly increasing their risk exposure.

Multiline logs provide valuable information for developers when troubleshooting issues with applications. An example of this is the stack trace. A stack trace is a sequence of method calls that an application was in the middle of when an exception was thrown. The stack trace includes the line in question that encountered the error, as well as the error itself.

Logging is critical for monitoring and troubleshooting your Node.js project. The open-source Winston logger helps take a load off our shoulders by making it easier to centralize, format, enrich, and distribute the logs to fit a particular need. Winston creates custom logger instances which can be configured to act as centralized logging entities. Essentially, the internal architecture of the module decouples the actual event logging from the implementation of the storage logic.

The days of logging as a mere troubleshooting mechanism are past gone. Nowadays, log management is a must. In today’s post, we’ll present you with a list of 11 log management solutions worth checking out. Let’s dig in. The first tool in our list is Splunk, which is a comprehensive utility very well-known by sysadmins. It’s available as a downloadable tool for Linux, Windows, and macOS X. A cloud version also exists, as well as a free version with limited capabilities.