Working With Markdown in PHP
Markdown makes it easy to add syntax to your plaintext documents and convert it to HTML later. PHP has robust support for parsing and rendering markdown—consider this your go-to guide for working with markdown in PHP.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
OctoPerf Spira Integration tutorial
We’ve recently been working with folks at Inflectra to develop an integration between Spira and OctoPerf. If you don’t know about Inflectra and Spira they offer a very cool test management solution (among other things), you should check it out. In this blog post we will highlight all the steps to follow in order to setup this integration. This way you’ll be able to see the benefits of working with both tools in your organization.
G2 Fall 2022 Reports: Keboola rated top in 7 categories
Since the beginning, Keboola has been designed to be a world-class data platform as a service. Based on the results of this season’s G2 statistics, we have succeeded yet again. The purpose of the Keboola platform is to make our customers’ data processing simple, reliable, and transparent throughout the company. We love our customers and value the feedback they've given our teams over the years.
[External Talk] Towards an Automated R&D Workflow for Edge AI Systems - Dan Malowany
This is a recording of Dan Malowany talking about how SightX uses ClearML as part of the R&D workflow.
Demo: Unravel Data - Automated Troubleshooting for Job Failures
For DataOps teams, job failures are common. But finding the issue is (traditionally) where things get even worse. It can take hours or days to troubleshoot a job failure. Unravel Data provides a single view where DataOps teams can locate exactly where–and why–a job failed, along with precise recommendations to troubleshoot the error. DataOps teams are now able to both diagnose and troubleshoot job failures in minutes instead of days or weeks.
Demo: Unravel Data - Data Pipeline Optimization (The Easy Way)
Data pipelines fail all the time for a variety of reasons; service downtime, data volume fluctuations, etc. Diagnosing these failures manually is very difficult and time consuming. Unravel Data allows DataOps teams to troubleshoot pipeline failures automatically – showing exactly where and why a pipeline failed, and precise recommendations to remedy the issues. Using Unravel, DataOps teams can now diagnose and fix data pipeline failures in a fraction of the time.
Appian and KPMG Webinar - Third-Party Risk Management (TPRM)
Appian and KPMG discuss the toughest challenges associated with TPRM and how organizations can begin to address them. We discuss how with the right mix of technology, skills, industry experience, and process knowledge, your organization can improve supplier collaboration and institutionalize a TPRM program that supports growth objectives and manages risk.
An Introduction to AI-generated Content and Generators
Artificial intelligence is one of the most popular, yet misunderstood phenomena in the world. Many people get their ideas about AI from apocalyptic Sci-Fi movies rather than an understanding based on science or observation. The truth is that many pieces of software, websites, and applications already use AI. An AI writing generator is not that difficult to obtain. AI can even make music, create pictures, or talk to you. Chatbots have been a thing for more than two decades.
Demo: Unravel Data - Code-Level Insights for DataOps Teams
To ensure that jobs are running optimally, DataOps teams need to look at the detailed code. But DataOps teams don’t have the right tools to easily examine problematic code - or a simple path to optimizing it. With Unravel Data, DataOps teams can quickly troubleshoot applications that are throwing errors - all the way down to a specific line of problematic code. All in a single view.
Demo: Unravel Data - Allocating Costs with Precision Using the Enhanced Chargeback Report
DataOps teams need to understand where costs are going. But the reports provided by cloud vendors aren’t very granular - and they only get the reports after excess costs have been racked up. Unravel allows DataOps teams to understand where costs are going at a detailed level: by user, by service, by department. This information is captured and available as soon as a cluster is detected – allowing DataOps teams to take action and optimize in real time.