OpsRamp helps modern IT teams manage end-to-end services across multiple business units, geographies, and distributed stakeholders with actionable service performance insights using business service maps and dynamic topology maps. Impact visibility lets DevOps teams effectively manage the hybrid and cloud-native infrastructure involved in supporting enterprise-level digital services. Service context lets IT teams maintain desired service levels and drive critical business outcomes with the right levels of transparency and visibility:
Application Topology: OpsRamp enables dynamic discovery and topology mapping for forty popular enterprise applications like Apache, Cassandra, Couchbase, Docker, Hadoop, Kafka, Mesos, MongoDB, MySQL, Redis, Solr, and Zookeeper. Application topology not only discovers application clusters, hosts, processes, and services but also establishes relationships between application components and infrastructure.
Hypervisor Topology: OpsRamp now helps tame virtualization sprawl by discovering and visualizing relationships across virtual machines, hypervisor servers and clusters in VMware vSphere and KVM environments.
Enhanced Service Maps: OpsRamp’s service maps have a new user interface that makes it easy to deliver highly available IT services with visual indicators for service health and performance of underlying application and infrastructure resources.
OpsRamp OpsQ, the intelligent event management engine for service-centric AIOps, helps incident response teams drive accurate problem diagnosis and improve collaboration with reduced alert volumes, contextual correlation, intelligent alerting, and automated remediation. New features in the Winter release include:
Auto-Incident Creation and Routing: Machine learning-based alert escalation capabilities in OpsRamp’ OpsQ drive faster incident creation, assignment, and routing for rapid problem resolution. IT teams no longer have to manually provide incident assignment information with OpsRamp’s ability to automatically create and dispatch incidents to the right teams. Alert escalation policies can auto-assign incidents using prior alert, incident, and notification data.
Augmented Training for Inference Models: OpsRamp’s machine learning-based inference models correlate alerts linked by a common cause using historical alert data. Opsramp’ OpsQ now allows users to augment alert co-occurrence models with additional user-provided training data for improved accuracy and better predictability.
Frequency-Driven Alert Escalation: OpsQ now supports policies to escalate alerts for monitored resources that change alert state frequently (also known as alert flapping). Frequency-based alerting lets IT teams safely ignore alerts that flap only occasionally and pay attention to alerts that flap repeatedly.
OpsRamp introduces new capabilities for supporting cloud native infrastructure along with enhanced features for AWS infrastructure and platform event correlation and analysis:
Cloud Native Monitoring: 451 Research analysis shows that the adoption of cloud-enabling technologies is accelerating, with 50 percent of enterprises already using or planning to use containers. The January 2019 release supports discovery and monitoring of Kubernetes environments for both on-prem and managed Kubernetes as a service environments. OpsRamp’s instrumentation and dashboards for cloud native services help DevOps teams track the different servers, pods, containers, and Kubernetes services and ensure that there is enough capacity to support the availability and health of container workloads.
Cloud Event Monitoring: Most enterprises work with a large number of AWS infrastructure and platform services to host their digital services. OpsRamp now offers the ability to process, analyze, and centrally access daily events from AWS Health, Database Migration Services, EBS, ECS, ELB, Redshift, and CloudWatch. Site reliability engineers can view and respond to AWS events across multiple cloud accounts and better manage the health and performance of their public cloud services using OpsRamp.
OpsRamp OpsQ offers three different inference models that you can apply to your IT application and infrastructure stack. Inference models offer the ability to set filter criteria and apply an analytical model to a particular type of IT resource. OpsQ’s inference models allow you to easily configure and analyze your incoming alert streams to reduce the noise and maximize productivity. The three Inference Models today are:
How do you monitor changes across your IT environment while being able to pinpoint root cause when there is a network failure? Topology Explorer delivers dynamic network insights and real-time dependencies for your application and infrastructure layers. Embrace service-oriented operations management with:
Network Mapping: Automate infrastructure discovery and resource mapping for faster impact analysis:
Application Mapping: Discover and visualize critical dependencies across applications, server, and network components so that you can:
Manage IT outages better by viewing the relationships between business services and the underlying infrastructure in a Service Map. Drive better context with situational awareness and restore IT services faster with inline visualization of alerts for impacted IT resources. You'll reduce the pain of coordinating incident response across different teams with enriched alert information in our improved Service Maps.Service Maps for improved performance visibility and customer experiences
Gain proactive monitoring for Amazon Relational Database Services (Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server), Microsoft Azure (SQL Database, Azure Database for PostgreSQL, Azure Database for MySQL), and Google Cloud Platform (Cloud SQL) with OpsRamp. While OpsRamp has access to RDS metrics through our CloudWatch API integration, obtain deeper database-engine level health metrics through our agentless monitoring to:
Reduce alert fatigue by pausing all alerts during scheduled maintenance work. Drive alert prioritization with policies that notify changes in alert state, so that you can resolve issues in a single place. Alert filters now include text-based search which, when combined with the AIOps-powered machine learning platform, enables faster incident triage and response.Alert Management for gaining control of alert floods
Stop building operational spreadsheets and manage your IT performance with our easy-to-use reports. The Custom Alerts report optimizes incident management processes with detailed analytics on the IT resources that generate the most alerts and helps you track alert volume trends over time. The Cloud Cost report lets you scrutinize multi-cloud spending trends across your enterprise and analyze the ROI of your cloud consumption in a single place.Comprehensive Reporting for data-driven operational insights
How do you efficiently handle the complexity of managing multi-cloud services while still keeping a handle on your ever-expanding cloud budgets? Our Multi-Cloud Visibility Dashboard offers much-needed clarity on the different cloud services that you're consuming and better manage cloud budgets across business units. With OpsRamp, IT teams can configure budget policies to receive alerts when cloud billing exceeds budgeted amounts. Enterprise IT teams have access to three powerful new widgets in the multi-cloud dashboard that enables them to:
Learn more about Unified Service Intelligence, the hybrid visibility solution for service-oriented management.
Our big data platform for IT Operations just got smarter with machine learning capabilities for intelligent event correlation. The AIOps Inference Engine groups similar alerts together to reduce unnecessary noise so that IT teams can focus their attention on the incidents that truly matter.
Reduce alert noise with Topology-based Correlation (correlate alerts based on logical topology dependencies) and Clustering-based correlation (correlate alerts that share similar properties). With Inference Engine, you’ll gain faster situational awareness and drive quicker remediation and restoration for critical incidents.AIOps Inference Engine for intelligent correlation
The OpsRamp 5.0 platform can help effectively manage cross-platform cloud services, avoid vendor lock-in or the dreaded underutilization of multi-cloud resources."
– William Fellows, Founder & Research Vice President, 451 Research
Our new Custom Reports feature lets you design your own spreadsheet style reports for IT infrastructure management data. Gain the right operational insights for your IT management with three types of reports (Inventory, Inventory Breakdown, and Metrics).Custom Reports for the right operational insights
Our fully redesigned Service Maps let you deliver predictable service outcomes by understanding key infrastructure dependencies for service performance. See all relevant information about a service’s availability in one place and map hybrid dependencies for optimal service delivery. Service group relationships drive impact analysis and root cause remediation for business-critical IT services.Service maps for reliable service performance
Learn more about Unified Service Discovery, the real-time discovery and dependency mapping solution for hybrid environments.
Given the increasing adoption of public cloud, we now offer 90 different integrations for commonly used cloud services from Amazon Web Services, Microsoft Azure, and Google Cloud Platform. With the 5.0 release, we’ve also announced integrations with Google Stackdriver for cloud monitoring and management, ManageEngine ServiceDesk Plus for real-time incident management, and Micro Focus Operations Manager i for IT teams looking for a modern alternative to legacy event management.