Systems | Development | Analytics | API | Testing

With API-driven applications being increasingly common, understanding how your APIs are performing is crucial for success. That’s where the combination of Heroku and Moesif allows developers and their organizations to step up their observability game. In this blog, we will quickly examine how you can integrate Moesif with your Heroku app to begin monetizing and analyzing your API traffic. Let’s kick things off by taking a brief look at both platforms.

This post originally appeared on the Build Blog by ThinkApps. View the original post by Runscope’s VP of Developer Relations, Neil Mansilla. So you’ve designed, built and launched your app. Before you pat yourself on the back and move on to the next project, your work isn’t quite done. In order for your app to gain adoption, consistently delight users and be successful for the long haul, you need to put certain systems and workflows in place.

Recently, Cloudera, alongside OCBC, were named winners in the“Best Big Data and Analytics Infrastructure Implementation” category at The Asian Banker’s Financial Technology Innovation Awards 2024. This recognition underscores the importance of trusted data when building AI and generative AI (GenAI) models and serves as a testament to the impact that reliable data can have in real world use cases.

Integrations can be done efficiently with IPaaS tools. Quickly set up point-to-point connectors, add logic and orchestration, and the integration is done and configured. The difficulty comes with more custom and bespoke systems. For example, when custom fields are added to an ERP or CRM, when you need to integrate with a legacy system, or when there is no connector to interact with. Linx can assist in cases where high flexibility and customization are required.

It might be a cliche, but first impressions really do count. Whether it’s a first date, a job interview or the UI design of your app, looking the part is a massively important consideration. Today we’re going to look at how we can use the SwiftUI Color structure to enhance the visual appeal of our apps and make the right impression on our users.

BigQuery now integrates with Sensitive Data Protection with native SQL functions that allow interoperable deterministic encryption and decryption.

Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream. Depending on the source and purpose of the data, an event could be a single user visit to a website, a new post on a social media platform, or a data point from a temperature sensor.

With the data management landscape continuously evolving, it has given rise to powerful platforms like Databricks and Snowflake, each offering distinct capabilities for organizations to manage and analyze their data efficiently. Our 5 key takeaways in the Databricks vs. Snowflake debate are: In this article, we will dive into a comprehensive comparison of Databricks and Snowflake and examine the data companies’ features, performance, scalability, and more.

Enjoy reading this blog post written by our experts or partners. If you want to see what Databox can do for you, click here. No matter what size your business is or what market you operate in, there’s one thing every business will confirm – marketing and sales during a downturn can be extremely challenging. But that doesn’t mean you should turn off the tap on marketing and sales until things get better.

The concept of insurance predates the printing press and the steam engine. So it's likely no surprise that the industry — as obviously adaptable as it is — often faces challenges related to the modernization of legacy systems. In the age of AI and APIs (application programming interfaces), streamlining operations and modernizing are paramount to success.