Developing against third-party or unfamiliar web APIs can be painful and slow compared to using native libraries. For example, making requests with an HTTP client is simple enough but offers no compile-time sanity checks and no way for code suggestion tools like Intellisense to help you navigate. Worst of all, if the API you are consuming introduces breaking changes, you won’t find out until runtime.
In this article, I'll walk you through the differences between self-hosted CI/CD and cloud-based CI/CD (like Bitrise!) and show you why it's time to move into the cloud.
We are excited to announce that Logit.io has recently taken home three awards from Appvizer’s selection ranking the best log management and data analytics tools on their platform. In addition to this, we’ve also been named as one of their certified partners for 2021.
If you’re reading this, chances are your organization is already aware of the additional management effort, devices, and testers required to ensure quality QA through software testing. You’re likely not doing it alone. Your in-house testers and external resources are probably scattered across different testing management platforms and software. But multiple platforms make collaboration more complicated than it needs to be.
In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven.
The manufacturing industry, like any other industry, is not immune to data challenges. Sourcing data, wrangling it and ensuring it’s being used in a governed, standardized way are not uncommon problems. Particularly in manufacturing, issues surface with inventory management, within the supply chain and with logistics.
Fivetran dbt Packages accelerate analytics with off-the-shelf SQL for data modeling.
Previously, I have covered an article on Load Testing SQL Databases with k6 . For your information, from k6 version 0.29.0 onwards, you can write a k6 Go extension and build your own k6 binaries. This comes in handy as you can use a single framework for load testing different protocols, such as ZMTQ, SQL, Avro, MLLP, etc. In this series of k6 extensions, let’s benchmark Redis now.