When protecting your online services, the weakest link is represented by the endpoints – that is, by the end-user devices running web or mobile applications or by external systems leveraging open APIs. As a matter of fact, there is a growing number of targeted attacks leveraging sophisticated techniques such as malicious web injections, mobile overlay and API abuse attacks to perform identity hijacking, account takeover, transaction tampering and payment frauds.

When you deploy a new Rails app, you typically face a double-bind. If you use an easy platform like Heroku, you could create problems for yourself as your application scales. If you use a more fully-featured platform, you risk wasting time on ops that could be spent on your product. What if you could have both: an easy deployment option that is easy to scale?

With this click-bait title and an answer as short as “more leads, better leads and cheaper leads”, I could wrap this article up in one sentence. Yet, even though that answer would not be very far from the truth for many startups, there is a lot more to it. Marketing is all about measurable results. The days when you could buy a billboard next to a football field without asking a few critical ROI questions are long gone.

Currently, many enterprises, including many Cloudera customers, are experimenting with machine learning (ML) and creating models to tackle a wide range of challenges. While today, many models are used for dashboards and internal BI purposes, a small and rapidly growing group of enterprise leaders have begun to realize the potential of ML for business automation, optimization and product innovation.

Last year, Cloudera released the Cloudera Data Platform, an integrated data platform that can be deployed in any environment, including multiple public clouds, bare metal, private cloud, and hybrid cloud. Customers are increasingly demanding maximum flexibility to adhere to multi-cloud, hybrid data management demands. Unravel has from the beginning has made it a core strategy to support the full modern data stack, on any cloud, hybrid as well as on-premises.

In these unprecedented times, everyday life has begun to change in ways we couldn’t even dream of only a few weeks ago. With the global population moving to more isolated lifestyles (remote working policies, social distancing, etc.) people are looking to digital services to help create a sense of calm and normalcy.

In this tutorial, we will look into how to integrate performance testing with k6 in your TeamCity build setup. k6 is a free and open-source performance testing tool for testing the performance of APIs, microservices and websites. TeamCity is a continuous integration and delivery server built by JetBrains.

When building businesses it’s of paramount importance to measure what’s working and what’s not. This is especially true for companies that are API-first. Moesif API Analytics allows merging the business and technical perspectives, so as to present a complete picture of the operating environment.

In today’s post, we’ll learn what gRPC is, when you should reach for such a tool, and some of the pros and cons of using it. After going over an introduction of gRPC, we’ll dive right into a sample application where we’ll build an Elixir backend API powered by gRPC. Let’s jump right in!

“All code and no logging makes John a black box error-prone system.” Logging is a key aspect of monitoring, troubleshooting and debugging your code. Not only does it make your project’s underlying execution more transparent and intelligible, but also more accessible in its approach. In a company or a community setting, intelligent logging practices can help everyone to be on the same page about the status and the progress of the project.