With the new Hotkeys, working with Cliff.ai is now way easier & effortless. Hotkeys are the keyboard shortcuts that can be used to directly navigate between various components or perform any action within a component through the comfort of your keyboard.
You can view all key combinations (hotkeys) by using the combination
CTRL + / on Windows/Linux and
⌘ + / on Mac.
As every module on Cliff.ai is now accessible through Hotkeys, user interaction time for accessing a module & performing actions on that module has reduced drastically.
Fixed an issue of filter in metrics view, where even after removal it would not actually remove it.
Creating and updating channels are now more convenient with searchable dropdowns and better UI.
Now, whenever a connection to a source created by you gets broken for any reason, Cliff.ai will automatically pause all the streams related to that connection and mark the connection status as
broken. Later on, if you want you can update the connection and resume all the streams that were affected.
For example, let's say you connected a database with username and passwords as credentials to Cliff and now due to some reason, you changed your database password. This will result in an
broken connection on the connection list for this particular integration. Now instead of generating false alerts for streams with no data flow, cliff will pause all the streams related to the broken connection. With an update option, you can update the connection as soon as you find the broken connection or at a later time. It's up to you.
Channels now show anomalies from the last data point extracted to the past 14 days as previously it was just past 14 days.
Improved alert graphs with formatted values and legends.
Omnisearch allows you to quickly search anything across Cliff.ai such as streams, source, channel, connection, alert rule, etc, and to perform some navigation tasks real quick.
Omnisearch consists of various user-friendly features such as -
You can search across various entities like sources, people, alerts, etc in a simple Google-like search interface
You can search for something very specific, for example searching a particular source or stream, by applying a filter so that only the specific entity results are displayed
You can take associated & relevant actions while using the Omnisearch feature. Like while searching for a Google Analytics source, you can create a new connection from there without going back to follow steps to create a new connection. Similarly, different actions for different entities can be taken.
Also, when you open Omnisearch, you will get a list of recently searched items or entities so that you can quickly repeat any action that you've taken in the past.
With this update, using the Cliff.ai platform just got way easier! Try it out and let us know your feedback below.
Graphite is an enterprise-ready monitoring tool. It has the ability to run on commodity hardware on any cloud infrastructure. Various teams use it for tracking the performance of microservices, websites, applications, etc.
Graphite monitors metrics like RAM usage, CPU usage, number of dropped requests, number of active users, etc. With Graphite it easier than ever to store, retrieve, share, and visualize time-series data from these metrics.
With this new integrations , users now can track any anomalous events happening in these metrics.
The Alerts graphs now keep up with the no data alert by showing dashed lines and also have improved UI for both slack and email alerts.
Graphite streams can now be created with multiple measures.
Selecting custom date range in the metrics page caused an error (FIXED)
Fixed alignments for the stream table when a lot of measure dimensions are present in the stream
What if your metrics are behaving normally with respect to their historical values in the past, but are very different when compared to peers?
For example, let's say you're tracking your revenue numbers for different countries and you have one country that is significantly outperforming/ underperforming than other countries? It's easy to miss such insights when you're just looking at the historical numbers at a country level. The problem gets even more complex when you have 1000s of segments in your metrics and finding such insights is like finding a needle in a haystack!
This is exactly what you can achieve using our new Community Outlier feature. With this feature, users will be notified when something is different and has a large deviation from the normal behaviour of similar specific metrics.
You can now simply select the measures & dimensions of the metrics in our outlier module to examine the outlier behaviour for a number of similar metrics.
Now you can expand your segment analytics with all the specs provided by segment.
Now create segment stream with: -
This new update will enable you to get a detailed view of the stream in the stream details page to understand the different properties of a stream and its aggregation frequency at glance.
We have reduced the aggregation frequency from 1-hour minimum to 15 minutes. So now you can monitor your metrics even more precisely.
Billing charts now show you the usage from the last billing date rather than from the start of the month.
While creating a stream on Google Analytics, the measures & dimensions dropdown sometimes had no values. We fixed that.
The issue of metrics page search bar autocomplete not working on inputs with whitespace is fixed.
Metrics page search bar loader now works without any problem while typing.
Now REST API streams also have the advanced settings feature where you can set the padding values for the data before stream creation.
We're glad to announce our integration with Shopify. With this update, users will now be able to monitor their Shopify store metrics and will automatically get updates on any abnormal behaviour on these metrics.
With the Shopify Integration, you can now monitor the business metrics on your Shopify store such as Orders, Revenue, Shipment status, and many more.
To get started, go to "Integrations" on the Cliff.ai platform and select "Shopify" in the e-commerce section.
Proper warning messages while deleting a connection, as we want you to know the upshot of everything you do on Cliff.
The Cloudwatch authentication process is now role-based, so no more hassle of allowing and revoking access to different people. Simply create a role.
Our REST API now handles numeric values in the names of measures and dimensions.
We're glad to announce Cloudwatch as the latest addition to our integrations library. You can now connect your AWS account with Cliff.ai to monitor the anomalous behaviour of various metrics from EC2 instances, S3 buckets, Lambda and many more AWS services.
With this update, users can now set up alert rules directly from the metrics view
Fixed an issue where dimensions wouldn't show up on alert rule's page while editing.
Users can now change their Google integration's account even after stream has been setup. We've had requests from customers who would like to change their connection configuration once a stream has been setup, without creating a new stream. Well, we listened 👂
Users can now see more detailed instructions while connecting some of the third-party sources.
One of the biggest change that we have for this week is the launch of our billing portal where you can get a granular understanding of your billing. We have also introduced a new pricing model that is based on the amount of data that you monitor using Cliff.
Previously, our pricing was based on the number of metrics that you monitor on Cliff.ai. This model had a drawback that sometimes you might have metrics that just had one or two data points in the whole month - and why should you pay for that metric for the whole month? With the new pricing model, you'd end up paying for just those one or two data points.
This can lead to a reduction of 50-60% in your monthly billing, depending on your data.
Sometimes, you would just want to see what you're teammates are up to? Like what streams that they have created, what alerts are they being notified about? Well, we now have a dedicated section to see your teammate's streams and alerts.
Slightly redesigned the metric page to have a cleaner look. Extra information can be accessed in a drawer that opens when a metric is clicked.
Added warning state for alert rules (triggered when the actions or streams related to the rule gets deleted)
Database template forms now have subheading of the meaning of the input field
Fixed an issue where wrong window for no-data alerts was displayed
We're glad to announce our integration with Segment. With this update, users will now be able to stream their Segment data to Cliff.ai and automatically monitor all events for any abnormal behaviour. To get started, go to "Integrations" and select Segment as the source.
With the Segment integration, you can selectively control what events you want to monitor, along with the option to select the "dimension" by which you want to drill down further. Let's say you want to track the adoption of a feature (which is captured as an event in Segment) and want to monitor it per device, per OS etc. (the event properties in Segment).
You can now create custom queries on the Postgres and Redshift databases, in addition to the ready-to-use templates already present.
A new "Settings" tab has been added to the stream's view. In the settings tab, you can perform actions such as changing a stream's name, pausing a stream and if required, deleting it.
A template made by a user can now only be edited by the same user. There was a bug before which let anyone within your organisation edit the template that you've created.
Fixed an issue in the metrics page where the applied filters would still persist after changing the stream from the header.
You can now get notifications of any alert right in your Slack channels or private messages. This will help reduce time to respond to any mission-critical issues.
There are two core functionalities that we support:
Exploring Metrics: You can get information about any of your metric, across all sources and streams, right into Slack without logging in Cliff.ai platform
Getting alerts on Slack: You can now be notified about any alert that you've set up right into Slack
Users can now opt-out of viewing demo streams. This option can be enabled from the Data Streams page view by toggling the "Hide demo streams" option.
Alerts can now be "paused" by toggling the "Pause" option from any alert rule's actions.
Increased chart width of the metrics in the Dashboard and added Root Cause Analysis as well.
An alert rule's page now displays some more information and actions such as the alert rule's trigger criteria, its streams, measures and dimensions.
Fixed an issue where setting alert rule criteria as 0 for static threshold would not trigger any alerts.
Fixed an issue with Google Analytics Integration where some users were getting an alert that the Cliff.ai app in unverified