Most modern applications today are being designed as a set of microservices with each service running as an independent application. This simply implies that one large application is broken down into small Apps running independently and only communicating with each other. This of course makes it much easier to build and maintain Apps but also offers way more value when combined with containerization technology.
Most of the applications we see for the ELK stack are from businesses which want to improve their customers' experience. To return relevant search results and to create Kibana dashboards that allow them to analyse data and give the customers what they want. But there are some cases where the customer is always wrong, and where the last thing you want to do is give a site visitor what he wants. Welcome to the world of forensics, compliance and fraud detection.
A common complaint that I hear is: “My tests run a lot faster locally than on Sauce Labs.” Sauce Labs is in the cloud and not in your local network, so it makes sense that any given test is going to have some amount of slowdown. The advantage of Sauce Labs is that you can make up this difference by scaling up the number of tests you run at the same time.
The world has gone remote. For those that can, working from home has become the new normal thanks to Covid-19. The gradual shift underway over the past number of years has accelerated, and most organizations have adapted. This mass pivot has been enabled largely by technology, specifically the move to SaaS and cloud, which allow employees to working productively from almost anywhere.
“JMeter is old technology”, I hear this a lot. “Let’s use this tool or that tool instead of JMeter as it’s the latest”, I hear this a lot. “We need a lightweight tool without the GUI interface to write our tests as that will make us more agile”, I hear this a lot.
Fivetran integrates MariaDB data into BigQuery, enabling Australia’s largest ecommerce pet store to understand and improve its customer journey.
Consider these comparisons before you try to build your own data pipeline
As with any product lifecycle, a key responsibility for API architects and API product owners is deciding when to sunset or retire a feature or offering. The API lifecycle is no different, but requires careful planning to carry out the deprecation to minimize customer impact. Unlike a packaged solution or module which is more of a black box, APIs enable your customers to build custom functionality which may have required months of integration work and testing.
By combining custom errors, named functions and Bugfender, you can create a robust error-handling process that allows you to immediately identify the defects of your JavaScript apps. Unhandled JavaScript errors will stop the execution of your script, leaving the application in an undesired state – or, even worse, in an unknown state. So you need a robust error-handling process to avoid unknown errors in your apps. But, why are errors thrown anyway?
Stay tuned for improvements to Intelligent Document Processing, DevOps capabilities, and UI improvements. Information lives in silos across the enterprise, causing inefficiencies and delays for your workforce. Records can provide that single-pane-of-glass view that users look for. However, some external data sources are slow, or even worse, rate limited by the vendor hosting that data. Appian’s new feature, Synced Records, offers a solution to this problem.
