Overcoming Qlik Cloud Reload Limitations with Automation
Posted on 29th Oct, 2024 | By Admin
Real-time data updates are crucial for many businesses, but Qlik Cloud’s scheduling constraints can be limiting. By default, it allows reloads only once per hour, which isn’t sufficient for applications that need updates every two minutes. Additionally, Qlik Cloud automations stop after four hours, causing long-running processes to fail.
If your business depends on frequent data refreshes, a Qlik Cloud automation solution can help you overcome these limitations and keep insights up to date.
Automating Frequent Reloads in Qlik Cloud
Scenario: The system needed three applications to be refreshed every two minutes to maintain up-to-date insights. However, Qlik Cloud’s default scheduling options did not support such frequent reloads. Additionally, since Qlik Cloud automations stop after four hours, any continuous workflow would eventually fail without intervention.
To bypass Qlik Cloud’s default scheduling, you can use Qlik Application Automation to create a custom workflow that ensures continuous data updates. Here’s how:
1. Set Up Automated Reload Triggers
Instead of relying on Qlik Cloud’s hourly scheduling, use Qlik Cloud automation to trigger app reloads at your required frequency, such as every two minutes.
2. Manage Execution Limits with Smart Restarts
Since automations stop after four hours, configure the workflow to restart automatically before hitting the execution cap. This ensures long-term stability without manual intervention.
3. Prevent Errors with Condition Blocks
Use condition blocks and time tracking to monitor execution time and avoid reload conflicts. This keeps automation running smoothly.
4. Leverage Qlik Cloud’s “Do Reload” Action
Qlik Cloud’s “Do Reload” action allows you to trigger data updates on demand. Integrating this into your automation flow ensures uninterrupted updates.
Why Automate Frequent Reloads in Qlik Cloud?
Many businesses rely on live dashboards, transaction monitoring, and time-sensitive analytics, which require continuous data updates. However, Qlik Cloud’s standard scheduling limits can cause delayed insights, outdated reports, and reduced operational efficiency. By automating frequent reloads beyond Qlik’s built-in capabilities, businesses can:
Maintain real-time data synchronization
Eliminate manual interference in reloads
Support faster decision-making through updated analytics
Maximize system performance for CI/CD
Final Thoughts
Qlik Cloud automation is a powerful way to bypass scheduling restrictions and keep your data fresh. By setting up custom reload strategies, businesses can eliminate manual effort and maintain real-time insights seamlessly.
With the right automation setup, Qlik Cloud becomes a flexible, real-time analytics platform, helping teams make data-driven decisions without delays.
