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The Conduktor Platform enables you to view messages in your Kafka Topics.


After choosing a Topic, in the example above it is wikipedia.parsed, you can format the message to keep only the fields you need, filter your records according to multiple criteria and also manually decide on the deserialisation formats of the messages key and value.


Each feature is built on top of each another, and the ordering in which they are executed could matter.

  1. Kafka filters (Show From, Partition)
  2. Deserialization
  3. JS Filters
  4. Max Results (Except for Show From Most Recent where the JS Filter is applied after polling the X most recent)
  5. Quick Search
  6. Formatting

This means that if you set a Kafka filter to From Beginning, Max Record 1000 and apply a JS Filter, it will consume all the records from the topic until either:

  1. The topic runs out of records
  2. 1000 records match your JS filter

Jump to:


You can format your message as long as it has a JSON-compatible representation (Including Avro and Proto with Schema Registry).
Given a sample message like the following one:

"foo": {
"bar": "value"

You can use the following JQ filter on your message:

// will output
"bar": "value"
// will output

Other useful examples include:

// Subset

// New JSON from elements
{ id: .source, val: .specversion }

// Functions
.data.authenticationInfo.principal | split(":")[1]

// Concat
.data.authenticationInfo.principal + " granted " + .data.authorizationInfo.operation

// Filter
[3, 2, 1] | first

Check the JQ Manual for more details.


You can filter your search according to multiple criteria including:

  • the time/date or specific offset in "Show from"
  • the amount of records to display in "Max results"
  • two separate filtering options, "Quick search" and JavaScript using "Add JS Filter".
  • choose the exact partition to view messages on in "Partitions"

By default, the most recent 20 messages of a topic are displayed and all filters are persisted across sessions for each topic.

Show From

Positions the consumer any given point in time, returning up to max-records records to the browser.

  • Most Recent: Consume from the end of the topic to always provide you with the max-records most recent records.
    • Each partition is queried equally: Most recent 1000 records in a 5 partitions topics: 200 most recent records of each partition
  • Last Hour / Today / Yesterday: Starts from a relative time in the past
  • From Specific Date / From Timestamp: Starts from an absolute time in the past
  • From Beginning: Starts from the very beginning of the topic
  • From Offset: Starts from a specified offset (best used combined with Partitions)
  • From Consumer Group: Starts from the last committed offsets of selected Consumer Group.
    • This is very useful to troubleshoot a stopped application and understand "where" it's stopped.

Max Results

This filter allows you to change the number of record returned to the browser. You can increase that number from 1 up to a maximum of 1000 records. These are the records on which you will search when using the "Quick Search" filter.



If you know the partition you want to browse, this filter will help you reduce the number of records returned to the browser. This filter is available behind the "More options" button.


JS Filters

Using JavaScript Filters lets you perform complex searches on the json representation of your kafka record, including its metadata.
This lets you search through several thousand records without directly viewing them in your browser.
This is the recommended way to filter through topics with more than several thousand records per day.


From the example above:

// Returns records which have a timestamp field equal to 1673541484
return value.timestamp == 1673541484;

A few other examples, let's imagine we have the following 2 Records in our Topic:

Record 1:

"key": "order",
"value": {
"orderId": 12345,
"paid": true,
"totalPrice": 50,
"items": [
"id": "9cb5cb81-b678-4f96-84dc-70096038eca9",
"name": "beers pack"
"id": "507b5045-eafd-41a6-afb5-1890f08cfd8e",
"name": "baby diapers pack"
"headers": {
"app": "orders-microservice",
"trace-id": "9f0f004a-70c5-4301-9d28-bf5d7ebf238d"

Record 2:

"key": "order",
"value": {
"orderId": 12346,
"paid": false,
"totalPrice": 10,
"items": [
"id": "7f55662e-5ba2-4ab4-9546-45fdd1ca60ca",
"name": "shampoo bottle"
"headers": {
"app": "orders-microservice",
"trace-id": "1076c6dc-bd6c-4d5e-8a11-933b10bd77f5"

Here are some examples of filters related to these records:

return value.totalPrice >= 30;
// Selects all the orders having a total price superior to or equal to 30
return value.items.length > 1;
// Selects all the orders containing more than one 1 item
return value.orderId == 12345;
// Finds a specific order based in its ID
return !value.paid;
// Selects all the orders that aren't paid
return !headers.includesKey("trace-id");
// Selects all the records not having a trace-id header

Please check the embedded documentation in Conduktor Platform for further details.


This filter performs a plaintext search on the records already sent to the browser. It is best used combined with any previous filtering applied.

In the example above, filtering by using 1673541484 and we can see the records that correspond to this within the 20 "Max Results".


By default, we try to identify the Deserializer automatically for both the Key and the Value.

If the deserialization fails or doesn't represent the data as you expect, you can manually pick which deserializer to use.


Deserializers are available behind the "More options" button.