Kuma 0.7.1 Released With Official Helm Charts
We are happy to announce the release of Kuma 0.7.1 with minor improvements and fixes, and a new official distribution: Helm Charts!
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
%term
Security Best Practices for Node.js
Because a lot of systems are connected to the web these days (or, at least, communicate/integrate with it at some level), companies are giving more and more attention to web security. Web security usually comes to public attention when certain events reach the news, for example, security leakages, hacker activities, and/or data-stealing over big companies, some of them really large (like Google, LinkedIn, etc.).
Factory Edge to Cloud Analytics- Three Fundamental Steps to Success
We recently Googled the manufacturing use case “predictive maintenance” and was astonished by the results there were 82 MILLION results returned. Next, we Googled “process optimization” and it yielded even more results – 302 MILLION. Clearly, these use cases are top of mind in today’s manufacturing landscape, considering digital transformation will deliver $11 Trillion USD in economic value by 2025.
Getting Started: Setting up cost controls for BigQuery
In this video, you will learn how you can manage costs in BigQuery by setting a custom quota that specifies a limit on the amount of query data processed per day.
What is Ably API Streamer?
It makes it easy to deploy, manage, and distribute data streams to third party developers as realtime APIs - so they can consume and integrate those data streams into their own apps. As realtime API adoption increases so does complexity, cost, and friction of integration for developers wanting to consume realtime data. But with API Streamer, out-of-the-box realtime API management tools and a proven cloud distribution network mean creating self-service realtime API programs has fixed initial (near-zero) and ongoing engineering cost.
Fivetran's Approach to Automated Data Integration, with Co-Founder and COO Taylor Brown
Fivetran’s mission to to make data as accessible and reliable as electricity. We're focused on providing automated access to data so data analysts and engineers can be empowered to actually analyze their data. For small companies and large enterprises, Fivetran replicates data from 150+ sources to enable business intelligence and data-driven decisions alongside our partner companies. Learn more at Fivetran.com
Qlik App Analyzer - Demo
The App Analyzer provides a comprehensive dashboard to analyze application metadata across a Qlik Sense tenant, providing developers and administrators with a holistic view into the makeup and integrity of all applications. This includes granular level detail about application data models and memory allocation including base RAM, peak realod RAM, field/table RAM, row counts, cardinality, data islands, synthetic keys, and more.
Qlik Data Transfer - Quick Demo
Qlik Data Transfer – automate data transfer of your on-premise data sources to Qlik Sense SaaS deployments. Connect to files, bundled ODBC and REST data sources, select tables and fields and push on demand or on a schedule – while optionally triggering your SaaS Qlik Sense app to refresh. Even use Qlik Sense Apps as combined and transformed data, and watch a on-prem folders for new or changed file-based data. This free utility definitely is a welcomed edition to the Qlik’s SaaS analytics platform.
Five Dashboards to Jump-start Your Analytics
Consider building these dashboards that help answer essential business questions.
How to generate a constant request rate in k6 with the new scenarios API?
Before the release of k6 v0.27, there was insufficient support for generating constant request rates. Therefore, we introduced a JavaScript workaround by calculating the time it takes for requests to exhaust each iteration of the script. This v0.27 release includes a new execution engine and lots of new executors that cater to your specific needs. It also includes the new scenarios API with lots of different options to configure and model the load on the system under test.