Every agile software engineering team wants to do these three things: The reality is that as we focus on improving one thing, sometimes it is at the expense of another. If we focus on accelerating feature development, feature quality could suffer. If we focus on improving feature quality, development could slow, potentially delaying the release. But what if we could have it all?
When COVID hit, multinationals went into a tailspin, scrambling for solutions to pandemic-related problems like suspended flights, social distancing, and stay-at-home orders. How could global brands function when operations are so interconnected? One global sales and marketing brand stayed calm in the crisis, innovating localized strategies that strengthened remote regional teams.
Leverage accounting and finance data in your centralized warehouse to refine spend strategy.
We take data integrity seriously so your business doesn’t pay the price.
Have you ever looked at clouds with a friend and seen patterns, shapes, and animals that they just can’t make out? The images appear so obviously to you but no matter how hard you try to show them, your friend sees an entirely different shape, or perhaps nothing at all. Building product features can be a similar exercise in frustration. As designers and builders, sometimes we see our own “cloud shapes” in the product.
Like any online service, your API users expect high availability and good performance. This also means one customer should not be able to starve another customer’s access to your API. Adding rate limiting is a defensive measure which can protect your API from being overwhelmed with requests and improve general availability. Similarly, adding quota management also ensures customers stay within their contract terms and obligations ensuring you’re able to monetize your API.
When the world went remote, studios needed to limit the number of people on set. To support the shift to remote work, teams needed to learn and implement new software tools. Game technology — like Unreal Engine and Unity — were powerful enough to meet the demands for this rapidly changing industry. But what else does a virtual production setup need?
In previous posts, we covered the basics of a C++ Microservices deployment including: With those basics in place, this blog will focus on optimization of the container in a C++ Microservices deployment. We'll examine how to structure the Dockerfile and the resulting Docker image to reduce the number of layers and disk space used.
