RapDev’s ServiceNow ITOM Health implementations simplify event correlation and aggregation for your cloud and ephemeral workloads, helping your developers receive accurate insights and resolve incidents quickly.
RapDev’s ServiceNow ITOM Health implementations simplify event correlation and aggregation for your cloud and ephemeral workloads, helping your developers receive accurate insights and resolve incidents quickly.
As applications become more segmented into smaller micro-services running on temporary containers, we are seeing a much larger influx of events to be correlated and ingested. Making sure this ingestion can be automated and dynamically tuned and adjusted using machine learning algorithms is crucial to making sure ServiceNow AIOps is relevant in a modern cloud environment.
We help customers using short-lived cloud workloads correlate their events into rolled-up service views of your platform health and status. Ensuring that all your cloud events, both incidents or informational events are making it into the ServiceNow platform correctly and accurately is extremely important to the success of your ITOM Health implementation.
Machine learning is critical for understanding and correlating short-lived cloud workloads and mapping them into the ServiceNow platform. Mapping these workloads allows for an accurate, concise view of your platform’s health and status.
The RapDev team are experts in ephemeral events, AIOps, and ServiceNow. Our team focuses on delivering a scalable and automated implementation of the module so your engineers can focus on resolving incidents.
Site reliability engineers increasingly use code-based tools to launch and monitor cloud workloads. RapDev’s SREs have years of experience running multi-cloud production environments.
RapDev encourages a CLI-first approach to simplify your workflows by building our own Command-Line-Interface for the ServiceNow platform, and then adopting the new natively supported CLI from ServiceNow. This empowers SREs to easily interact with and integrate ServiceNow in a cloud-friendly way using the CLI of their choice.
A CLI-first approach empowers SREs to easily interact with and integrate ServiceNow.
Reducing the signal-to-noise ratio from monitoring tools sending events into the ServiceNow platform is critical. A reduction in signal-to-noise ratio allows engineers to focus on the most impactful tasks — not false alarms.
One of the best ways to ensure the health of your ServiceNow environment is by leveraging automated, tag-based service-mapping features. With these in place, customers can scale their ServiceNow maps based on cloud events such as GCP StackDriver or AWS CloudTrail. With the correct observability tools, you can then monitor events and track data trends over time. Our expertise in integrating ServiceNow with modern observability platforms including Datadog, Splunk, and Dynatrace has repeatedly empowered customers to gain deeper insights and realize maximum ROI from their investments.
Slowing down developers is not an option. Bringing events into the DevOps platform improves developer efficiency and accelerates deployment velocity, allowing developers to:
Ready to accelerate your ServiceNow ITOM Health implementations?
Connect with our engineers.
Ready to accelerate your ServiceNow ITOM Health implementations?
Connect with our engineers.
