Manufacturers today are implementing a range of new technologies to increase operational efficiency and create visibility and flexibility across value chains. These include robotics, automation, data analytics, IoT, and artificial intelligence (AI) and machine learning (ML), according to Deloitte. Company leaders hope these innovations will help them create more productive and resilient supply chains, improve production quality and efficiency, and mitigate risks.

In the world of Node.js, application development, speed, flexibility, and scalability are critical for modern software development. However, the risk of vulnerabilities and security breaches looms with the increasing reliance on open-source Node packages. NCM (NodeSource Certified Modules) is the next-generation security solution that empowers Node.js developers to safeguard their applications easily and confidently.

Data ingestion is an important component of any successful data initiative. It refers to the process of collecting data from multiple sources and loading it into another system. Businesses most commonly use a subtype of data ingestion called ETL (extract, transform, load), which allows the data to be transformed before it's loaded. This extra step provides many benefits. Most importantly, it allows organizations to automatically match and correlate data from a variety of different sources.

Accelerate the extraction, loading, storing and transformation of data — including data from SAP systems — for faster, richer manufacturing insights.

Quality assurance has become the lynchpin for business enterprises to improve the overall quality of software products and services. This helps reduce development costs, time and effort, minimizes rework, and improves the reliability and usability of the software. The State of Software Quality Report 2023 – with the exclusive partnership of Cigniti and Deloitte and based on insights from over 3000 QA teams, provides a comprehensive view of the software quality landscape.

Data observability is a critical aspect of any data-driven business. It refers to the ability to monitor, understand, and troubleshoot data quality issues in real-time. In essence, data observability ensures that data is accurate, reliable, and accessible. It involves collecting and analyzing data from various sources to gain insight into how data is being used, how it is flowing through the system, and whether it is meeting the required quality standards.

Direct database connectors or connections act as a middleperson between an app and a database, allowing the app to read, write, and alter data in the database without an API or other intermediary layer. While these connectors might be simpler to set up than creating and automating an API, making them valuable for database management, they pose several cybersecurity risks that could put your business at risk. Below, learn about these threats and how to mitigate them with an API management platform.

Using Rollbar is great for Exceptions both handled and unhandled. But there is so much more you can get out of a solution like Rollbar. We often hear users asking us to log structured log data to Rollbar or that they have a custom JSon object that they would like to store in Rollbar. If you just send in the Json object using Rollbar.Info(YOUROBJECT) you will find that it is placed in the message body as a string. This is fine but we can do a lot better.

In the last decade, Digital has become the new normal way for businesses to interact with their customers. This has led to a significant change in how software is designed, developed, and evaluated. There are now multiple channels for businesses to interact with their customers.