Upcoming webinar: Optimize Tracker performance to support COVID systems (and more)

The past two years have seen the scale of Tracker implementations grow significantly (as was noted in our recent newsletter), with several countries now managing Tracker systems containing millions of unique individual-level records. In particular, countries using DHIS2 for COVID-19 vaccine registry or surveillance systems depend on Tracker to be able to enter, update and check the vaccine or test status of millions of individual people in real time, and to provide up-to-date reporting on these programs for decision makers and stakeholders.

Ongoing performance improvements in the Tracker application have helped make it possible for these systems to meet these demands, but specific implementation and configuration practices also play a very large role in enabling these systems to handle these large volumes of data. Performance optimization is thus a key component of supporting COVID-19 programs with Tracker.

Join members of the DHIS2 core team and HISP network for a webinar on implementation guidance for optimizing large-scale Tracker performance, with a particular focus on COVID-19 vaccination and surveillance systems. This webinar will take place on Friday, 21 January, from 14:00-15:30 Oslo time (GMT+1).

Complete this form to register for this free event, and you will receive a link to the webinar by email before the event takes place: online registration form

All registered participants will be invited to join the webinar on Zoom. You can also watch a livestream of the event and add comments and questions for the presenters here on the Community of Practice

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Please read above for more info and registration details, thank you! :+1:

Remember to heart <3 and share, and feel free to add a post with your questions.

Great, I can’t wait for this webinar. Our dhis 2 surveillance instance has become extremely slow. I hope we will learn some things that can help us improve the performance of our dhis 2 tracker.

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See you @didate! You’ll definitely find it useful! :100:

Feel free to ask your questions if you have any in the live stream topic page even before the webinar starts :wink:

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I registered to hopefully start becoming more familiar with the internal workings of the DHIS2 back end… Looking forward to it.

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Very interesting webinar. Tracker is massive in longitudinal data and yet also challenging in terms of performance optimization.

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Welcome to the community @tmonyatsi! :tada: Have you faced any particular challenges that you’d like to share? Thanks!

@ddaley it’ll be interesting to see your perceptions as a Java developer. Great that you’ll join. :+1::+1:

@AL-Gassim Sharaf Addin The problem I faced with Tracker is often related to querying data concurrently from different program stages under event reports. I had to resort to API calls to achieve results. This route sometimes gets too hectic. I wished i could accomplish the task with just simple optimal steps.

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Thanks
I’ve registered and hope to learn a thing or two in optimizing our tracker instance. As we are scaling up, we sometimes hit performance snags.

Regards

Ekow

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Hey @tmonyatsi,

Thanks for the feedback. I take it that you would like to be able to accomplish this in the event reports app itself instead of using the API? @dhis2-analytics is currently developing a new event reports app, would you be able to raise a Jira user story about this?

Gintare

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@didate, @Ekwiah,

Would you be able to share more information about your performance issues with us before the webinar? Then we can make sure we have recommendations for your particular situation.

Gintare

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Hello @Gintare

The performance issues we face relate much more to analyzes based on program indicators. We can no longer do certain analysis. for example the number of covid cases for all the period (2020-2022) which is based on a program indicator.

Analyzes are fast as long as they are based on data items only.

Here is some metrics :

Size of Guinea DHIS2 Surveillance db, with analytics tables = 41 GB;
Time it takes to run full analytics = 45min / 1h;
Number of records in datavalue table = 9 173 324;
Number of records in programinstance table = 2 253 382;
Number of records in programstageinstance table = 3 590 154
Number of records in trackedentityinstance = 2 274 700;

Regards

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Thanks for sharing @didate. PI-based analytics will be covered in the webinar. Let us know if you run into more issues.

Gintare

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Bonjour chers tous,
Merci à l’équipe DHIS2 Centrale et le réseau HISP pour cette initiative. L’année 2022 commence bien avec le DHIS2.
M. Antoine ITOUA

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