In the latest version of NSolid v4.4.2 NodeSource introduced the new PagerDuty integration that allows users to configure message notifications that are automatically triggered when your Node.js application experiences critical performance, lifecycle, and/or security events in production. This ensures DevOps professionals looking after applications running in production, can be notified on time about new performance and security issues.
Are you tired of slow dashboards? It’s a problem we hear end-users of BI tools complain about time and time again. Whether you’re an end-user or on the data team that the end-users blame, slow dashboards suck! With many BI tools now offering their own connectors and lightweight data transformation/preparation layers, slow dashboards are a common pain point across all organizations.
We’re seeing an increase in demand for hybrid AI deployments. This trend can be attributed to a number of factors. First of all, many enterprises look to hybrid solutions to address data locality, in accordance with a rise in regulation and data privacy considerations. Secondly, there is a growing number of smart edge devices powering innovative new services across industries.
No, not really. You probably won’t be rich unless you work really hard… As nice as it would be, you can’t really predict a stock price based on ML solely, but now I have your attention! Continuing from my previous blog post about how awesome and easy it is to develop web-based applications backed by Cloudera Operational Database (COD), I started a small project to integrate COD with another CDP cloud experience, Cloudera Machine Learning (CML).
The digital revolution is making a deep impact on the automotive industry, offering practically unlimited possibilities for more efficient, convenient, and safe driving and travel experiences in connected vehicles. This revolution is just beginning to accelerate – in fact, according to a recent Applied Market Research study, the global connected car market was valued at $63.03 billion in 2019, and is projected to reach $225.16 billion by 2027, registering a CAGR of 17.1% from 2020 to 2027.
This is part 2 in this blog series. You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight
“Automated scripts are checking known paths for expected results. That’s not truly testing. Testers discover the unknown, and this skill is still very much so needed, whether there’s automation or not. Without human intuitive exploration, a team may be blind to their most expensive bugs.”— Angie Jones The above quote lets us understand the power of Manual Testing.
Standard Deviation is an important metric in performance testing analysis and informs us how stable the application under test is. In other words, it tells us if the requests that occur during the test are consistent or not. Standard Deviation measures how the response times are spread out around the average response time (mean). A small standard deviation means that the response time of all the requests are close to each other.
If you’re a developer, a web designer, or a QA manager, you would want to ensure that your product delivers as promised. Today’s customers expect the highest standards of user experience. Anything less is grounds for disappointment and even lost business. Facebook’s mobile device testing lab at the Prineville Data Centre is equipped with Android and iOS devices that test Facebook applications and Instagram.
Load testing is a type of performance testing that simulates a real-world load on any software, application, or website. Without it, your application could fail miserably in real-world conditions. That’s why we build tools like Retrace to help you monitor application performance and fix bugs before your code ever gets to production.
