RigD gives you a way to improve Ops efficiency and customer satisfaction right through Slack. RigD SlackOps with Machine Learning lets teams resolve incidents faster. Use RigD to unlock greater value from your Slack investment. Improve business performance by identifying, gathering and presenting the data and resources teams need to begin resolving an incident–all in Slack.
Collaborative Automation for DevOps at Any Scale
RigD is a SaaS platform that users consume through a Slack bot available through RigD’s Slack App. No machine learning knowledge is needed to set up and connect it to your service management apps and tools. Once up it gets to work. When there’s an incident, RigD prepares a portfolio of information about the incident and delivers that to you and required team members right in Slack. You simply review the data and get to work.
RigD is easy to put to work. Once you install the Slack App, RigD is ready to go with a natural language help system and input suggestions. The bot uses the latest Slack Block Kit and helps guide you through configuration and use of tools, which are the two-way integrations. The integrations can then feed important information to your Slack channels and just as importantly you can act through the RigD bot to perform work in those tools.
Accelerate Incident Responses Right in Slack
Once you are set up and have an issue, incident or problem information flowing into Slack, RigD lets teams respond or work these incidents, keeping everyone up to date right in context in Slack. Instead of switching context to the different tool UI’s for the responding team to see and collaborate around, all of you can do all the work you need to in Slack through RigD.
Set up flows that encapsulate simple steps you don’t want to perform manually, or more complex multi-tool flows. These allow first line support personnel to triage issues before the team even assembles. Getting relevant monitoring, log and configuration data into the Slack channel accelerates collaboration and time to resolution.
Helps You After the Incident
When the incident is resolved RigD produces an Incident Digest which documents both the human and machine activities for that support session, critical for postmortem analysis and enhanced learning. Over time the machine learning and AI aspects of RigD’s will help you streamline future incident sessions. While RigD provides a set of key DevOps and IT Operations tools, you can add further integration on your own with RigD’s customer activity module.
RigD is your Command Center for DevOps and IT Operations
Enabling SlackOps with Machine Learning, RigD is a platform for DevOps and IT Ops teams to speed up their response to incidents while reducing workloads.
Support – collaborate better and faster to improve on call
Admin/SRE – improve to make next time better
Incident Commander – move the team through incidents faster to restore service sooner
IT Operations / Management – get the correct people and software assets working to ID and remediate
SPEED UP WORKLOADS
RigD is a platform for DevOps and IT Ops teams. It helps them speed up their response to incidents while reducing workloads.
RigD helps you handle incidents for PagerDuty, Atlassian Status Page, Datadog, AWS SNS and CloudWatch.
RigD expedites your work for many use cases such as:
PagerDuty – Who is on call, for both PagerDuty users and non-users, Acknowledge, Escalate, run a Response Play
Atlassian StatusPage – Create Incidents and and Update your Pages
Datadog, AWS SNS and AWS CloudWatch – Get relevant information right in Slack
REDUCE OUTAGE COSTS
Automation improves response speed. When an outage occurs, RigD gathers data from multiple tools, and the right people, freeing you to solve the problem.
Slack App / Bot with Natural Language, Input Suggestions and In-Bot Help & Support
Two-way integrations to Key Dev & Ops Tools e.g. PagerDuty and Atlassian StatusPage
Powerful Feeds control
Automation and Triage Flow
Respond & Work Incidents, Issues & Problems & Incident Digest
Custom Activities to integrate with your favorite commercial or home grown tools
Save time, reduce workloads
Reduce noise, increase focus
Accelerate time to resolution and restoration of service
Respond quickly and correctly to mission critical incidents
Derive more value from tools