Can Microsoft finally create a single task management system that covers everywhere users create tasks? So far, To-Do works with Outlook, Cortana, Skype and anything you can connect through Flow.
from Software on TechRepublic https://ift.tt/2Szhfrr
Can Microsoft finally create a single task management system that covers everywhere users create tasks? So far, To-Do works with Outlook, Cortana, Skype and anything you can connect through Flow.
from Articles on TechRepublic https://ift.tt/2Szhfrr
Alexa apps, called Alexa Skills, are what makes the digital assistant shine. Here's what developers, business professionals, and home users need to know about using Alexa Skills.
from Articles on TechRepublic https://ift.tt/2Ho5sKP
Operating a database of software vulnerabilities is a challenging undertaking, according to private vulnerability database operator Risk Based Security.
from Articles on TechRepublic https://ift.tt/2tIip9M
This comprehensive guide covers AWS Lambda, an on-demand serverless computing service. Learn how Lambda complements other AWS services, and how your business can use it.
from Articles on TechRepublic https://ift.tt/2Tl6j4W
Organizations are moving to multicloud. Here are the 10 most popular cloud configuration management tools for enterprises and SMBs, according to RightScale and Flexera.
from Articles on TechRepublic https://ift.tt/2GNpAGj
Launch HN: Fuzzbuzz (YC W19) – Fuzzing as a Service
145 by evmunro | 76 comments on Hacker News. Hey HN, We’re Everest, Andrei and Sabera, the founders behind Fuzzbuzz ( https://fuzzbuzz.io ) - a fuzzing as a service platform that makes fuzzing your code as easy as writing a unit test, and pushing to GitHub. Fuzzing is a type of software testing that generates & runs millions of tests per day on your code, and is great at finding edge cases & vulnerabilities that developers miss. It’s been used to find tens of thousands of critical bugs in open-source software ( https://ift.tt/2fW71Bd ), and is a great way to generate tests that cover a lot of code, without requiring your developers to think of every possibility. It achieves such great results by applying genetic algorithms to generate new tests from some initial examples, and using code coverage to track and report interesting test cases. Combining these two techniques with a bit of randomness, and running tests thousands of times every second has proven to be an incredibly effective automated bug finding technique. I was first introduced to fuzzing a couple years ago while working on the Clusterfuzz team at Google, where I built Clusterfuzz Tools v1 ( https://ift.tt/2jAJEvW ). I later built Maxfuzz ( https://ift.tt/2IG5rDY ), a set of tools that makes it easier to fuzz code in Docker containers, while on the Coinbase security team. As we learned more about fuzzing, we found ourselves wondering why very few teams outside of massive companies like Microsoft and Google were actively fuzzing their code - especially given the results (teams at Google that use fuzzing report that it finds 80% of their bugs, with the other 20% uncovered by normal tests, or in production). It turns out that many teams don’t want to invest the time and money needed to set up automated fuzzing infrastructure, and using fuzzing tools in an ad-hoc way on your own computer isn’t nearly as effective as continuously fuzzing your code on multiple dedicated CPUs. That’s where Fuzzbuzz comes in! We’ve built a platform that integrates with your existing GitHub workflow, and provide an open API for integrations with CI tools like Jenkins and TravisCI, so the latest version of your code is always being fuzzed. We manage the infrastructure, so you can fuzz your code on any number of CPUs with a single click. When bugs are found, we’ll notify you through Slack and create Jira tickets or GitHub Issues for you. We also solve many of the issues that crop up when fuzzing, such as bug deduplication, and elimination of false positives. Fuzzbuzz currently supports C, C++, Go and Python, with more languages like Java and Javascript on the way. Anyone can sign up for Fuzzbuzz and fuzz their code on 1 dedicated CPU, for free. We’ve noticed that the HN community has been increasingly interested in fuzzing, and we’re really looking forward to hearing your feedback! The entire purpose of Fuzzbuzz is to make fuzzing as easy as possible, so all criticism is welcome.
Ask HN: How to be productive with big existing code base
134 by maheshs | 103 comments on Hacker News. I have just started working with one of the client who have existing nodeJS code which they build in last 3 years. Is there any guiding principle which is beneficial while working with existing code base?
Nearly 60% of organizations overspend their budget on cloud resources, due in part to mismatched IT and finance perceptions, according to a Cloudability report.
from Tech And Work on TechRepublic https://ift.tt/2GMmX7N