Memfault QuickStart: Up and running in minutes​

We've introduced a new way to start collecting crash data and monitoring firmware stability on your development devices in just minutes. With Memfault Quickstart, firmware developers can follow our simple, in-app guide to add Memfault to a real Device and start reporting real Metric data related to connectivity, stability, and battery.

With Memfault Quickstart, you can experience key Memfault features with your unique Device. After completing the guided integration, you can immediately:

• Analyze a Coredump collected from your Device in our easy-to-use UI
• Inspect activity happening on your Device on our Device Timeline
• See what your data would look like in our charts and dashboards

Sessions on Device Timeline: Investigate Feature and Function Usage​

Users can now view Sessions - a new report type to capture Device activity - on their Device Timeline. Sessions are reported when an associated feature or function is active, and they will last as long as that feature or function is active. Memfault users can define custom sessions using the Memfault SDK to track the relevant activity on their devices and now have the ability to see when sessions occurred and whether there are any Device reliability issues that align with activity such as Traces, Coredumps collected, or unexpected Reboot Events.

Being able to track Sessions allows users to analyze specific metrics associated with that session. For example, seeing how much your Device's battery drops during a "workout" session on a wearable device or understanding how often a credit card payment fails to process during a "checkout" session on a POS Device. You can read more about all of our Device Vitals functionality in Memfault's technical documentation.

Learn more about capturing Metric Sessions for each SDK:

• MCU
• Android
• Linux

What's New: In-App Announcements​

We've introduced a "What's New" announcements tool within the Memfault web application to help users stay informed about the latest features without waiting for the monthly changelog. This tool notifies users about new features, guides, system updates, and user surveys as soon as they become available.

We continuously improve our services based on your feedback, and this real-time feed will help us showcase the frequent updates we make to our services so users can take advantage of them right away.

Correlate Issues with Device Attributes​

Users can now view the distribution of issues by device attributes in the Issue view. Within the Issue view users can now select an attribute from the drop down and see the distribution of that specific Issue by the attribute selected in the same way as you can see distribution of Issue by software version or hardware type. This is an extremely powerful tool to identify correlations between issues occurring across your Fleet and things like production batch or device tree information such as chip type.

Currently correlations are best used for attributes that are fixed for the life of the device because the correlation is based on the most recently reported state of the attribute on the device and not the attribute at the time the Issue occurred. This means it's good for correlating with things like production batch, and not good for correlating with things like state of charge. For more information on Issue attribute correlation please read our technical documentation.

Device Vitals: Improved Searching and Filtering​

We have made a number of enhancements to our Device Vitals feature set designed to make it easier to go from top level insight to device level investigation. Firstly, we have introduced a set of templated dashboards for each Device Vital that can be selected when creating a new dashboard and will pre-populate with our recommended chart and card types.

We have also introduced two ways to get to a list of devices based on their performance on a specific Device Vital either by drilling down from a Device Vitals percentiles chart, or using Device Vital readings as a filter in device search.

We believe that some combination of Device Vitals should be central to the way teams measure the performance of devices and making it easier to get the insights and act on them unlocks more value, more easily. You can read more about all of our Device Vitals functionality in Memfault's technical documentation.

Improved Device Timeline Navigation​

We made several enhancements and improvements to the navigation experience within device timeline based on user feedback. The improvements include adding a time interval selection (e.g. 1 day or week), zoom and pan buttons.

Device timeline is central to the value Memfault provides, giving you the complete context of what's happening on your devices. These improvements make it easier to isolate specific points of interest within the device timeline and move through the timeline more easily.

Device Vitals: Built-in metrics and out-of-the-box visualizations for stability, battery life and connectivity​

With our newly released Device Vitals feature set we have added a streamlined and standardized way to start monitoring critical health and performance data from your devices. The three Device Vitals, Stability, Battery Life and Connectivity, are automatically computed by Memfault on the cloud side based on a set of metrics collected by the SDK. The metrics required for the computation are standardized across all platforms and are now built-in to all SDK's from Android 4.13, MCU 1.5.0, and Linux 1.9.0.

We have also added a set of "out-of-the-box" dashboards for monitoring each vital and new charts and cards to add to your own custom dashboards. The combination of built-in metrics and out-of-the-box visualizations provides both existing and new Memfault customers an easy way to start monitoring some of the most important health and performance indicators across your Fleet. Read about how to configure the built-in metrics and use the new visualizations in our technical documentation.

Jira Integration: Connect and automatically sync Memfault Issues with tickets in Jira​

Our new Jira integration adds the ability to sync key information from Memfault Issues with Jira Issues. Users can now create Jira Issues from an Issue in Memfault and link Memfault Issues to existing Jira Issues from within Memfault. Once linked, key data is automatically and continuously sync'd with the Jira Issue including:

• Memfault Issue name and Issue status
• Trace count and impacted device count
• First seen and last seen dates

The Issue status in Memfault (e.g. Open, Resolved, Reopened) will also be automatically updated based on the Jira Issue status (e.g. Done, Unresolved). This new integration should make it much easier to work issues identified by Memfault into your existing development processes in Jira. You can read more about the integration and how to get set-up in our technical documentation.

Get all the data you need in one place: Add any chart to any dashboard​

It is now possible to add any chart, previously available across any part of Memfault, into your custom dashboards. All of the charts and cards previously only available in either the Overview or Device Sets dashboards can now be added to any dashboard. The three pre-existing dashboards, Overview, Metrics and Device Sets have all been consolidated under the Dashboards section of the side nav and can now be renamed and customized.

This series of changes means that users can get maximum value from all data sources in Memfault in their custom dashboards.

The list of newly available charts and cards includes:

• Active devices
• Issue charts
• Software Versions
• Device sets
• Active devices
• Device incident alerts

Combine all these data sources into a single dashboard to maximize the relevance and usefulness of each dashboard and eliminate the need to jump between dashboards to get the insights you need. You can read more about the changes in Memfault's Dashboards documentation.

Improved Processing Log: More data, better discoverability, more tools​

The Processing Log has been updated to cover more processing-related activity, improve discoverability and make it easier to take action. The update adds multiple new filtering options including Hardware Version, software version and log level (e.g. Errors or Info). It also adds multiple new ways to take action on the information, including shareable links for each log, a download of the log for further investigation, and a quick link to upload missing symbol files.

The introduction of the Processing Log will make the initial integration much easier, providing instant feedback for a developer encountering unexpected behavior during integration. For customers already using Memfault this will provide much greater visibility of project related data processing and errors that might impacting the completeness of their data. Users can read more about the Processing Log in Memfault's documentation.

New charts for tracking Crashes and Reboots​

Users can now add two new chart types into their custom dashboards - Reboots and "Crashes per 10k hours". The Reboots chart gives visibility into the breakdown of different reboot reasons across each data set. The "Crashes per 10K hours" provides a calculation of the average number of crashes (unexpected reboots) across a minimum of 10,000 operating hours.

These new charts give teams a way to track the stability of their devices and measure and compare software quality across distinct populations. Teams will now be able to definitively measure software quality improvements or regressions between versions and even compare software stability across product lines. The Reboot chart is available to all users but the Crashes per 10k hours chart is currently only available to MCU customers. You can read more about these new charts in Memfault's documentation.

Build your own dashboards in Memfault​

Users can now create custom dashboards and manage the layout of content within these new dashboards. This change makes dashboards much more flexible, able to cope with a wider variety of use cases such as dashboards for specific teams, software versions, Cohorts, etc. Users can also re-arrange the content within the dashboard using drag, drop and resize functionality.

Create and manage dashboards in the All Dashboards tab within the "Dashboards" sub-menu and customize chart layouts using the "Layout mode" toggle available within each dashboard. Find out more about creating custom dashboards and using layout mode in Memfault's documentation.

Improved issue management with tags​

Users can now add tags to issues within Memfault and use the tags to filter issue searches and build issue charts. This change facilitates more sophisticated issue triaging, grouping and categorization within Memfault. For example, tags could be used to indicate issue priority and also to associate groups of related but separate issues together.

A user can add tags in the issue view, each issue can carry multiple tags and tags can be added or removed at any time.

Better visibility of processing errors​

Users can now view a detailed listing of processing errors in the Processing Log under the "Integration Hub" sub-menu. The Processing Log contains details on errors such as missing symbol files on coredump upload, MAR file processing errors and instances of device data not being accepted by the server. This change adds a huge amount of additional visibility into errors related to processing of device data in Memfault.

These processing errors are now also reported on the device timeline adding another layer of debugging information for devices. Users can read more about the Processing Log in Memfault's documentation.

Export lists of Devices as a CSV​

Users can now bulk export lists of Devices and associated information as a CSV file. Use filters as normal to define the desired list of Devices and then export that list as a CSV. Once the CSV is generated it will be emailed to the user. This makes it easy to share information on specific groups of Devices to teams in the organization outside of Memfault for the purpose of further processing in external tools or scripts for logistics, reporting, etc.

By default on export the CSV will include basic information about the Device such as serial number, Cohort, software and Hardware Version etc. and a user can also choose to include Device Attributes in the export if required.

See data in Metric charts as soon as it's received​

Data in Metric charts is now available in "real-time" once received. Previously, data in Metric charts only updated once the day in UTC completes and this would add some delay in the insights the Metric charts were able to provide. Now the Metric data collected from devices is visible in Metric charts as soon as it is received by Memfault.

This enhancement will allow users to react quicker to undesirable changes in behavior and provide closer to real-time information during significant events like software version roll-outs. Currently, this change is only applicable to Metric charts and does not apply to other chart types (e.g. Issues charts, Device set charts, etc).

Software versions displayed in Device Timeline​

Device Timeline now includes a visualization of the active software version on the device alongside the metric and traces information. This allows a user to very quickly associate any metric behavior, crash or reboot event with the active software version at the time.

As demonstrated in the screenshot, this should also make it very easy to identify if a change of behavior coincides with a change in software version. The software version is now displayed by default across all Devices on all platforms.

Best Practice Guide: Using MQTT with Memfault​

We have released a new best practices guide covering the use of the MQTT protocol with Memfault. Correct set-up for your MQTT implementation is critical as errors in set-up can result in data loss or data being decoded incorrectly rendering it impossible for Memfault to deliver accurate insights.

The guide provides a basic introduction to MQTT and specific advice for users looking to optimize their MQTT stack to ensure reliable data delivery to Memfault. Topics covered include:

• Publishing QoS settings
• Topic architecture and recommended topic structure
• Minimizing publishing overheads with topic aliases
• Choosing an MQTT payload size
• Device and Service examples

Read the full MQTT guide in our best practice documentation.

New Data Aggregation for Metric Charts: Percentiles​

Metric Charts now have a new data aggregation available for both chart rollup options (by Cohort or Software version, and Over Time). This aggregation is called "Percentiles" and will display the data set broken into the 1st, 5th, 50th, 95th and 99th percentiles. Displaying the metric data as percentiles makes it easier to understand the prevalence of behaviors (tracked as metrics) across your fleet.

As an example, if you are seeing significant spikes in battery discharge rates for a specific software version you can use percentile aggregation to get a clearer picture of the scale of this problem. Are these undesirable metric readings I am receiving contained to a small set of samples or is this a wide scale problem? Conversely, this aggregation should also make it easier to understand what "normal" actually looks like across your fleet.

This new aggregation is the default view when creating any new metric chart. You can read more about this new data aggregation in our Metric Charts documentation.

Best Practices Guide for Android Battery Debugging​

Our Developer Experience team have released a new guide designed to help users get the most from Memfault when identifying and debugging battery issue on Android devices. This guide provides detail on:

• What data the Android SDK can collect
• Using metric charts for tracking battery health/performance
• Setting fleet and device alerts
• Identifying problem devices
• Debugging individual devices using Device Timeline

The guide takes into account the recently released set of updates to our Android SDK with version 4.8.0 which included the addition of new battery usage metrics such as per app battery usage.

You can read the full guide in the Memfault Best Practices for Android Battery Debugging.