When you’re one of many developers commanding streaming applications running in Apache Kafka, you want enough data observability to fly your own data product to the moon. But you also want to boldly go where no developer has gone before to discover new applications. At the same time, you don’t want to be exposed to sensitive data that summons you to your compliance team, crashing you back down to earth.

Speedscale ‘SpeedChat’ Episode 2: Shift-Left vs. Shift-Right Throwdown featuring Nate Lee (Founder, Speedscale), Ken Ahrens (Founder, Speedscale) and Jason English (Principal Analyst, Intellyx).

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.

With the steep rise of data, smart businesses have started capitalizing on this new oil to build a new type of products and services: data applications. Admittedly, the engineering and business development of data apps overlaps with their cousins - the trusty desktop app and the well-known web app, … But there is a core difference that sets data applications apart: they are first and foremost about the data they use to deliver value.

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.

Can’t choose between Salesforce and HubSpot CRM? In this report, we are comparing the two market leaders side-by-side to help you come to the right decision.

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.