Sysdig Monitor winter 2017-18 release
We’ve been busy since our fall Sysdig Monitor release. A lot of great features have been rolled out and our most recent update delivers some really important integrations and capabilities. Things are moving quite fast in the container infrastructure space and we are all about continuous improvement – from the user experience to new metrics and new ways to visualize your environment.
Read on to get a quick overview of what’s new. If you have any questions or want our assistance with anything you see here, we’d love to help! Chat us through the app, via Slack, or drop us a line at @sysdig.
Sysdig Monitor now collects kube-state-metrics for monitoring and alerting on the state of Kubernetes objects. New kube-state-metrics dashboards provide out-of-the-box visibility of a wide range of metrics for nodes, namespaces, services, daemonSets, jobs, replicaSets and pods. *Note: requires *update to the Sysdig agent* version 0.77.0 or higher.* Read more on our blog here.
Public URL dashboards
Ever want to share a killer dashboard with a colleague who is not a Sysdig Monitor user? Now you can! Just pick, click, and send your URL.
Explore grouping and scoping enhancements
We’ve massively simplified grouping and scopes. Our new approach gives you better, more precise data - with less chance of invalid groupings (e.g. Kubernetes deployment > hostname). Have questions? Contact Customer Success and we’ll analyze your account for you!
Team Manager role
We’ve introduced a new 'Team Manager' role that provides the privilege to add, delete, and modify team users as well as grant read or edit access.
The addition of a read-only role in Sysdig Monitor enables you to define 'Read user' or 'Edit user' roles for each team to which a user belongs.
- A read user can only use Sysdig Monitor in read-only mode, with no permission to create, edit, or delete dashboards, alerts, etc.
- An edit user is allowed to make changes. This is a per team role defined by Admin users.
Inspect captures with Sysdig Inspect
We released Sysdig Inspect back in September: a powerful interface for container troubleshooting from captures files. Sysdig Inspect has been built on top of Sysdig open source and is also available for Mac and Linux users. Now you can open capture files directly from your browser when using Sysdig Monitor.
New metrics, dashboards and visualizations
Support for JMX metrics from Java 9
Memcached default dashboard
A new default dashboard has been added to the Sysdig Monitor Explore page where you can see the most important Memcached performance monitoring metrics including connections, commands, get hits/misses, and evictions.
New panel type: Histograms
With histograms you can see the distribution of values for a metric over hosts, containers, etc. A typical use case for histograms is to detect outliers. For example, you can plot a histogram of response time by containers to find out which response time ranges are the most common and which containers are outside the normal range. Along the x-axis are buckets/ranges of the metric value. The bars represent how many segments are in each range. By hovering over with your cursor, you can see the names of the segments in each range.
AWS ALB metrics support
AWS Application Load Balancer (ALB) metrics are now supported with an entry in our newly introduced data source dropdown menu, a new explore table configuration, and a new default dashboard that includes metrics like healthy and unhealthy hosts, requests per second, response time, and HTTP response by codes (2XX, 3XX, 4XX and 5XX).
Export time series data as JSON/CSV
We added two new options to time series and stacked area charts that enable you to download raw data in JSON or CSV format to run custom data analysis.
Enhanced workflows, user experience, and help info
New time navigation
Time navigation is now located at the bottom of the Explore and Dashboards page making it easy to click to a specific time frame. Custom time ranges now have a better UX and zoom in/out controls are more prominent.
Time and group metric aggregation suggestions
Confused about which time and group aggregation is used on each metric? Now you can have access to a quick recap with the best practices on how to aggregate metrics based on type (percentage, latency, etc.).
Panel metric information
Metric information (metric name with time and group aggregation) can be seen when hovering over a panel (bar charts, time series, stacked and number panels). This is helpful to give more context about the purpose of the panel.
Improved Explore event workflow
Scope matching when exploring events has been improved, bringing you back into the right point in time, grouping and scope. Additionally, the Explore page has an ad-hoc single event mode showing you only the specific event that you are exploring.
Suggest mode enabled by default
Last year we introduced suggest mode – available in 'Settings>Sysdig Labs' – as a way to boost your efficiency by showing only the views, metrics, and grouping presets applicable to your environment. This option has proven so popular that it is now enabled by default.
Rename of Admin team to Monitor Operations
As part of the broader Sysdig Platform initiative, 'Admin Team' within Sysdig Monitor is now renamed to 'Monitor Operations.' The Monitor Operations team will continue to behave the same as the previous Admin team:
- The Monitor Operations team cannot be deleted.
- Monitor Operations users have full visibility to all resources.
- To change settings for any team, admins must switch to the Monitor Operations team.
Custom headers for webhooks
When using webhooks, typically used to pass authentication credentials, you can now add custom headers to pass along additional details with an outgoing request.
Eager to learn more? Join our online session: 15 Failure Points in Kubernetes and How to Monitor Them
When operating a production platform we should prepare for failure and in addition to monitoring working metrics, we cannot forget about the most common failure points. From an agnostic monitoring solution perspective, and following a use-case driven approach, we will learn the most common failure points in a Kubernetes infrastructure and how to detect them (metrics, events, checks, etc).
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