Artificial intelligence is transforming software development. From the code to the deployment, AI is slowly but surely upping its game and helping us discover a brand new paradigm for inventing technology. Algorithm-based machine learning is being used to accelerate the software development lifecycle and AI is supporting developers to optimize software workflow at every stage of the development process.
Following best practices when logging helps make sure they contain the right information when needed. Some common best practices for logging errors in.NET are listed below.
Microservices are an accelerating trend thanks to rousing endorsements from the likes of Google, Netflix, and Amazon. The microservice architecture is advantageous for it’s scalability, agility and flexibility. In contrast, the monolithic approach is the traditional tried-and-true model for building software. It’s much easier to debug and test. But how do you know which approach is best for your organization?
Buying software is often the answer for busy engineering teams in search of a quick solution with minimum aftercare. But while your team may be sure of the problem, how do you go about searching for a product to fix it? Far from being the 'easy option', there is a lot you need to consider before you invest in a bought solution – user experience, cost comparisons, and support features to name a few. Let’s explore some of the considerations when making a good decision.
At Rollbar, we know security matters. Our customers represent the leading technology companies in the world today, and keeping their data secure is our top priority. Look no further than our investment in security and compliance. Rollbar is fully compliant with stringent industry standards like GDPR and HIPAA. We have also received ISO27001, SOC 2 Type 1, and Type 2 compliance certifications to ensure that even the most security-conscious companies can use our SaaS platform.
