Memory leaks are one of developers’ worst nightmares. They can easily take down a healthy running application within hours if not minutes. It can be difficult to detect some of such leaks since they slowly grow and take over your app’s available memory. On top of it, each programming language manages memory in its own unique ways and hence can leak memory in different ways. Hence proactive measures to identify and prevent such leaks from happening is crucial.
How often have you found been buried among piles of emails, expense reports, meeting invites, and other organizational tasks where a little part of you wished that this never-ending to-do list could organize itself on its own or even better, magically vanish? McKinsey reported that in an average workweek, 28% of an employee’s time goes into just responding to emails. Additionally, another 19% is spent on gathering information, while 14% of time is spent on communicative and collaborative tasks.
A few weeks ago we talked about webhook integration and briefly mentioned webhook security as one of the key points to consider in this context. I feel like today we can dive deeper into this topic.
First published on The New Stack. The pandemic has accelerated the shift towards digital channels for banking, retail, and a host of other services. As a result, businesses are shifting their digital transformation initiatives into overdrive in order to meet customer demand for online interactions, which should be both inviting and secure. APIs act as key drivers behind most successful digital enterprises.
An API gateway lets API calls enter and leave to reach their corresponding destination points, better known as microservices, in a system. An API gateway is mainly responsible for routing API calls. Its secondary responsibilities include security, caching, load balancing, rate-limiting, dynamic discovery and routing, management, and scaling the number API calls.
Finance has been at the forefront of enterprise analytics for decades. Over the years, these analytics have evolved from reactive, descriptive analytics related to financial performance, treasury holdings, and inventory management to predictive and prescriptive analytics for risk, credit, and financial business modeling.
The move to digital technologies has been taking place at a meteoric pace. Many businesses are forced into a position, where they must either deploy new solutions they may not be ready for or risk falling behind the competition. In their efforts to rapidly improve customer experience, enhance internal processes, capitalize on market opportunities, or optimize other operational processes, they often end up taking a more makeshift approach to digital transformation.
