Systems | Development | Analytics | API | Testing

How to Build AWS Lambdas with TypeScript

Serverless computing is an exciting alternative to hosting apps on the AWS cloud. In this four-part series, we’ll run through how to build AWS Lambdas with TypeScript, improve the dev experience, optimize it, and finally, use AWS Cognito for security. In this take, I would like to take you on a journey to explore AWS Lambdas using TypeScript. We will build a pizza API, use Claudia to help deploy the app, and use the AWS CLI tool to set up a DynamoDB database.

Debugging in Ruby with AppSignal

An application monitoring tool (APM) is not just useful for seeing how your application performs through graphs and visuals. We can go deeper and use an APM to understand how your application behaves in a certain environment. As developers, we should aim to be less reactive to errors and more predictive, avoiding crashes for end-users. One way to accomplish this is by using monitoring tools to debug our application when an error occurs.

Activate your data: How to get started with ThoughtSpot Sync

Every data team wants to make insights more actionable for frontline business users. The only question is how. You know they spend the majority of their time in business-critical tools like HubSpot, Slack, and Microsoft Teams. So why not bring the data-driven insights created in ThoughtSpot to the apps they use most? With ThoughtSpot Sync, you can. Starting today, ThoughtSpot customers will be able to send insights directly from ThoughtSpot to Google Sheets, Slack, and Microsoft Teams.

Tiered pricing strategy - definition, examples and benefits

The right tiered pricing strategy can ensure you effectively monetize your APIs and other digital products, encouraging your customers to spend more whilst ensuring they are happy about doing so. But get it wrong and you can irritate your customers and push them towards your competitors. In this post we’ll explain how to get your tiered pricing right and maximize your API’s revenue.

API Integration Strategy: 4 Ways That DreamFactory Uses APIs

APIs (application programming interfaces) help companies increase functionality without expensive development. By using APIs, businesses can add new features to existing applications quickly and easily. Whether you’re working on expanding your app ecosystem or a complete digital transformation for your business processes, your goal is to have a seamless company connection process.

7 Salesforce Integration Assets to Connect Your CRM

In a world driven by software, technology, and data, businesses must be utilizing data points to streamline their businesses. Data now exists from all aspects of a company and must be properly integrated to make intelligent decisions. From client sales, purchasing behaviors, inventory, and beyond, collecting, understanding, and interpreting these data points can help your business thrive in your respective industry.

Using Mason and bricks in your Flutter app: Beginner's guide

TL;DR: Mason is a Dart package that allows you to create files and directories based on templates. You can use Mason in your Flutter projects by first creating and registering the templates (aka bricks) and then utilizing them to create files and folders. Alternatively, you can use bricks made by others from GitHub or BrickHub.dev.

Where Is Your Customer Data Located?

Modern organizations have multiple touch points continuously collecting customer data. Data collection is essential for firms that use it for personalized marketing campaigns and improving customer experience. Analytics provided by this data help enterprises observe customer behavior and make critical business decisions. However, before firms can explore any use cases, it is crucial for them to recognize the data touch points where vital information is collected.

Building an Automated ML Pipeline with a Feature Store Using Iguazio & Snowflake

When operationalizing machine and deep learning, a production-first approach is essential for moving from research and development to scalable production pipelines in a much faster and more effective manner. Without the need to refactor code, add glue logic and spend significant efforts on data and ML engineering, more models will make it to production and with less issues like drift.