APIs within a company change all the time. Every service owner has an API to manage, and those APIs have upstream and downstream connections. APIs need to be tested for integration points as well as for their “contract”, the agreement between an API owner and the consumers of that API. Aidan Cuniffe is the founder

Code is version controlled through git, the version control system originally built to manage the Linux codebase. For decades, software has been developed using git for version control. More recently, data engineering has become an unavoidable facet of software development. It is reasonable to ask–why are we not version controlling our data? Dmitry Petrov is

Ray is a general purpose distributed computing framework. At a low level, Ray provides fault-tolerant primitives that support applications running across multiple processors. At a higher level, Ray supports scalable reinforcement learning, including the common problem of hyperparameter tuning. In a previous episode, we explored the primitives of Ray as well as Anyscale, the business

Pandas is a Python data analysis library, and an essential tool in data science. Pandas allows users to load large quantities of data into a data structure called a dataframe, over which the user can call mathematical operations. When the data fits entirely into memory this works well, but sometimes there is too much data

A large codebase cannot be searched with naive indexing algorithms. In order to search through a codebase the size of Uber’s it is necessary to build a much more sophisticated indexing system than simple pure text search. Sourcegraph is a system for universal code search. It allows developers to more easily onboard to a new

ADP has been around for more than 70 years, fulfilling payroll and other human resources services. Payroll processing is a complex business, involving the movement of money in accordance with regulatory and legal strictures.  From an engineering point of view, ADP has decades of software behind it, and a bright future of a platform company

M3 is a scalable metrics database originally built to host Uber’s rapidly growing data storage from Prometheus. When Rob Skillington was at Uber, he helped design, implement, and deploy M3. Since leaving Uber, he has co-founded a company around a hosted version of M3 called Chronosphere. If you have access to a scalable metrics database,

DynamoDB is a managed NoSQL database service from AWS. It is widely used as a transactional database to fulfill key-value and wide-column data models. In a previous show with Rick Houlihan, we explored how to build a data model and optimize the query patterns for a NoSQL database.  Today’s show is about DynamoDB specifically: partitioning,

As a user browses a webpage, that browser session generates events that need to be recorded, validated, enriched, and stored. This data is sometimes called customer data infrastructure, or CDI. This data requires a full stack of different tools: a system on the frontend to collect the data, middleware to transport the data, and backend

A software company manages and interacts with hundreds of APIs. These APIs require testing, performance analysis, authorization management, and release management. In a word, APIs require collaboration. Postman is a system for API collaboration. It allows users to test APIs with collections of requests, monitor the API responses, and visualize the query results. Users of