Compass is Last9’s visualization and alerting product. With Compass, teams across the organization can predict system degradations, reduce mean time to discovery on failures, and provide change intelligence in a timely fashion. This reduces dependency on engineering teams and drives down overall costs for an organization.
To scale observability, enterprises must organise metric data in a way that is intuitive for the various members of and organisation.
Developers think in terms of infrastructure and services, Product management thinks in terms of products, and Customer Success thinks in terms of customers.
Rather than endlessly building dashboards that are difficult to understand and navigate, Last9 builds maps and custom views that correspond to these ideas - enabling intelligence for your entire organisation. Infrastructure and managed services can be grouped together as services, these services can be organised and viewed as products, and the performance of these services can be observed down to individual tenants - enabling customer-level observability.
While individual contributors in a SaaS organisation need access to granular intelligence surrounding reliability – engineering, product, and customer success leaders require insights at a global level.
Last9 provides Health scorecards so leaders across an enterprise can track performance against SLOs and customer SLAs. Slice and dice metrics using user-defined dimensions for granular insights at the business service or entity level.
With services and infrastructure mapped intuitively, enterprises can enable their incident response process end-to-end using Last9.
Last9’s algorithmic alerting suite can be implemented across your products, services, and customers so incidents are detected early and accurately, and can be routed to the appropriate teams.
Once an incident is detected, Last9’s service maps and event correlations enable incident isolation and accelerate root-cause analysis. Finally, Last9’s service catalog enables the organisation of runbooks, repositories, and escalation policies so the right next steps can be taken.
Last9 platform enables your teams to leverage a policy framework to setup and manage alerts and health scorecards.
- Algorithmic models: Select from a range of statistical and ML models for anomaly detection.
- False positive elimination: Configure pattern and rule-based standards to reduce noise
|Keep up with Change||SLO Management||Health Scorecards|
|A single place to look at all your key SLIs, events in the context of a service or a job. Keep up with all the changes happening across the system.|
Last9 Platform understands behaviour changes in signals and alerts about drift from normal. This leads to on-call teams enjoying quick troubleshooting and massive drops in MTTD.
|Measure and maintain happy customer experiences over time.|
Last9 SLOs abstract the complexity of window and request-based calculations.
This allows for creating a smooth translation between code performance and customer experience.
|Deviation from decisions is a primary root cause of failures and long delays in debugging. Health is a simple score that each entity yields against the defined rules and expectations.|
Easily find out the entities that are digressing the most, fix them first and watch the health score improve.
Helps you stay organized, and a reduction in unpredictability.
Updated 27 days ago