The Winter 2020 Release delivers new AIOps innovations with OpsQ Recommend Mode, visualization of alert seasonality patterns, and alert stats widgets. The release also introduces 19 new multi-cloud monitoring integrations for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). The Winter Release also announces new features for Windows agentless discovery, synthetic transaction monitoring, and new alert integrations.
Analyst firm Gartner expects that 75% of global organizations will use AI-augmented practices by 2023 in their enterprise IT operations. OpsRamp’s AIOps platform lets modern IT teams harness algorithmic insights to maximize availability and minimize downtime using:
OpsQ Recommend Mode: We launched OpsQ Observed Mode in Summer 2019 to showcase the value of machine learning models for event management. In this release, we've introduced Recommend Mode for first-response and alert escalation policies. When IT teams switch on Recommend Mode, they can view suggested actions (such as suppress alert or convert inference into an auto-ticketed incident) within the alert itself. Instead of having IT operators waste valuable time by reviewing each alert and figuring out the next steps, Recommend Mode ensures prompt response for critical issues with clear prescriptions (escalate incident with priority = Urgent, assignee group = NOC team) that can be enabled in a single click.Reduce mean-time-to-response with predictive recommendations
Visualization of Alert Seasonality Patterns: OpsRamp can reduce seasonal and recurring alerts using time-based and attributed-based suppression. The Winter Release delivers greater transparency into how OpsRamp's first-response policies for auto-suppression management work. Users can understand seasonality patterns for alerts grouped by resource, metric, and component attributes by viewing historical and estimated alert occurence trends.Trace recurring alert patterns to underlying IT activity
Alert Stats Widget: The alert stats widget shows how OpsRamp OpsQ takes raw events, deduplicates and correlates them, and then uses first-response policies to pinpoint the critical alerts that incident responders need to focus on. The Alert Stats widget shows alert volume reduction by each stage so that IT teams can understand how OpsRamp's machine learning models help reduce overall event noise and operator fatigue.Understand event volume reduction at each stage of the alert lifecycle
Research firm IDC projects that 90% of enterprises will deploy multi-cloud architectures in 2021 to meet their technology and business requirements. The Winter 2020 Release offers 19 new integrations for popular cloud services along with dynamic topology maps for Azure and GCP:
Deeper Cloud Monitoring: OpsRamp has extended monitoring support for 19 cloud services across AWS, Azure, and GCP. OpsRamp now monitors and manages 120+ cloud services so that enterprises can drive faster cloud migrations and deliver superior customer experiences.
Cloud Topology Maps: In addition to existing topology maps for datacenters, hypervisors, applications, and AWS public cloud, OpsRamp now provides automated topology mapping for Azure and GCP. IT teams can leverage topology context for cloud event management and gain extended visibility into the health of their multi-cloud environments with live topology views.Increase the accuracy of ML models for event management with topology context
The Winter Release also introduces new capabilities for agentless discovery, synthetic monitoring, and third-party alert integrations.
Agentless Discovery and Monitoring for Windows Servers: Enterprises can now remotely discover Windows and Linux infrastructure resources using WMI and SSH protocols. Agentless discovery delivers the right levels of visibility and control through automated inventory collection and segregation of workloads based on resource types.Manage distributed Windows infrastructure in a seamless manner
Synthetic Monitoring: Synthetic monitoring can exactly identify where an issue has gone wrong by providing the right context for multi-step transaction troubleshooting. Application owners can now analyze performance bottlenecks at both the web services level and supporting hybrid infrastructure layer.Gain deeper insights for troubleshooting multi-step transactions
New Alert Integrations: The Fall 2019 Release announced webhook authentication support for custom integrations. The Winter Release introduces new webhook-based alert integrations for IT management tools such as Dynatrace, Logz.io, Prometheus, Splunk, and Zabbix so that incident responders can access native and third-party event insights in a single place.
The Fall 2019 Release delivers new AIOps innovations with enhanced alert pattern detection, inference stats widgets for quantifying the impact of OpsQ Observed Mode, and third-party alert context for better troubleshooting. The release introduces enhanced multi-cloud monitoring capabilities for Amazon Web Services (AWS) and Google Cloud Platform (GCP). The Fall release also announces new features for synthetic transaction monitoring and custom integration framework using webhook authentication.
Digital operations teams face a steady stream of alerts from enterprise apps and services, legacy and modern infrastructure, and IT monitoring tools. Too many alerts can increase the mean-time-to-resolution for business-critical services. OpsRamp’s service-centric AIOps solution helps reduce event noise and brings down alert fatigue with:
Alert Similarity Reinforced Correlation: OpsRamp can not only correlate alerts based on time but also using specific alert attributes. Alert similarity-based pattern recognition links related alerts using attributes like alert description, alert subject, resource hostname, resource type, resource group, and service group. Alert pattern detection ensures that the correlated alerts are more meaningful and impactful for incident management teams.Alert similarity serves as a good proxy for alerts from related resources.
Fine-Grained Observed Mode Widgets: OpsQ Observed Mode offers transparency into black-box machine learning models using shadow inferences for event correlation. The Inference Stats widget quantifies the impact of the OpsQ event management engine for production environments as well as delivers insights on the effectiveness of OpsQ Observed Mode’s machine learning predictions for performance analysis.Understand the potential for alert reduction volume with OpsQ Observed Mode.
Improved Context Ingestion: OpsRamp is a modern platform for monitoring, alerting, and optimizing hybrid IT infrastructure performance. OpsRamp can also consume and consolidate events from third-party IT management tools using our ingestion framework. Improved ingestion capabilities in the Fall Release help IT teams understand the context (alert source, resource type, resource group, and location) behind each third-party alert for faster troubleshooting.Incorporate additional resource information while creating a new alert.
IDC predicts that worldwide public cloud spending will more than double from $229 billion in 2019 to $500 billion in 2023. Flexera’s 2019 State of the Cloud Report shows that 84 percent of IT leaders today work with five different cloud providers as part of their cloud strategy. Given the multi-cloud reality that enterprise IT teams face today, the Fall 2019 Release offers new integrations for popular AWS services along with real-time discovery for GCP platform services.
AWS IoT: AWS IoT is a managed cloud service that allows connected devices to securely interact with cloud applications and resources. OpsRamp delivers visibility into AWS IoT availability, connection time, publish time and other critical metrics within the IoT platform.
AWS Developers Tools: AWS Developer Tools help enterprises build and release code with greater frequency and reliability. OpsRamp now provides insight into the provisioning and performance of CI/CD tools like CodeCommit, CodeBuild, CodeDeploy, and CodePipeline.Support for AWS IoT, AWS Developer Tools, AWS Simple Workflow, and Amazon MQ.
Real-Time Discovery for GCP Platform Resources: OpsRamp now delivers real-time visibility into the creation and shutdown of GCP platform resources like Google Compute Engine Instance, Google Kubernetes Engine Clusters, Load Balancers, and Google SQL Instance.
The Fall Release also introduces new capabilities for synthetic monitoring, a new custom integration framework, and improvements to resource management, reporting, and APIs.
Synthetic Monitoring: Application owners can identify bottlenecks in a multi-step transaction and optimize page load performance with synthetic monitoring. New enhancements in the Fall Release let IT teams link website outages to specific network routes and understand whether the network path, connectivity, or internal network are causing service degradation.Enhanced root cause analysis using IP TraceRoute.
Custom Integration Framework: Customers and partners can now build custom integrations for third-party IT management tools by defining the collaborative integration flow direction and then ingest alerts from any webhook capable tool into OpsRamp.Webhook authentication support for custom integrations.
The Summer 2019 Release delivers new AIOps innovations that let incident responders safely test the accuracy of machine learning predictions, reduce alert noise by learning and suppressing repetitive alerts, and offer the right context to troubleshoot issues for IT resources that are not natively monitored by OpsRamp. The release also introduces topology context capabilities for AWS public cloud services and cross-site network connections. The May release also announces new features for Kubernetes dashboards, enterprise application monitoring, and management of modern workloads like Azure Stack and Mesosphere.
OpsRamp OpsQ helps IT operations teams resolve high-impact issues with a modern, scalable and collaborative incident management solution. OpsQ processes numerous IT events from different monitoring tools through open ingestion APIs, analyzes and prioritizes events with alert inference models, escalates critical incidents to available teams using on-call schedules, and remediates incidents without human intervention. Some of the innovative service-centric AIOps capabilities announced in the Summer 2019 release include:
OpsQ Observed Mode: The 2019 State of AIOps report shows 67% of IT leaders have concerns about the relevance and reliability of the insights delivered by AIOps tools. OpsQ Observed Mode ensures greater transparency into machine learning models for performance analysis by letting IT teams access the power of AIOps recommendations in shadow mode. OpsQ Observed Mode builds trust and confidence in how machine learning algorithms can surface relevant insights for recognizing, repairing, and fixing problems with actionable insights.OpsQ Observed Mode delivers shadow inferences for assessing the accuracy of AIOps recommendations.
Learning-Based Auto-Alert Suppression: The 2019 State of AIOps report found 64% of IT practitioners are looking to replace manual tasks with automated processes. Alert fatigue is a real problem for IT teams as a large volume of alerts generated are part of standard operating procedures. OpsQ automatically suppresses known and expected alerts using first-response policies and reduces alert noise with time-based and attributed-based pattern matching.Alert-Auto Suppression techniques act as a first-response mechanism for repetitive alerts.
Automatic Resource Creation from Third-Party Events: For resources not natively managed by OpsRamp’s monitoring engine, OpsQ now creates new managed resources (if the resource does not already exist in OpsRamp) from third-party alerts. Automatic resource creation ensures faster issue identification and rapid root cause(s) analysis with event context.Auto-extract resource metadata and deliver contextual visibility for resources not managed by OpsRamp.
Continuous Learning for Alert Escalation: OpsQ alert escalation policies for auto-incident creation and routing now get smarter with machine learning models that get refreshed every week with live event data. Continuous learning in OpsQ adjusts and optimizes alert assignment and priority across dynamic IT environments and ensures timely action for outstanding alerts.Auto-create and assign incidents with alert escalation policies that use live event data.
The 2018 Gartner Market Guide for AIOps Platforms shares how dynamic relationship context is critical for IT event and performance analysis: “For the patterns AIOps detects to be relevant and actionable, a context must be placed around the data ingested. That context is topology.” OpsRamp’s business service maps and dynamic network maps deliver real-time application to infrastructure dependency views that establish the right context for incident response teams. The latest enhancements on the Impact Visibility front in the Summer release include:
Cloud Topology for Amazon Web Services (AWS): OpsRamp now delivers resource dependency visibility for the different moving parts of AWS public cloud services. DevOps and site reliability engineering (SRE) teams can visualize the topology context for AWS resources like EC2, VPC, RDS, or ELB and troubleshoot issues with context-aware confidence.Access real-time dependency information for AWS public cloud workloads.
Cross-Site Connection Topology: OpsRamp now supports WAN discovery protocols (BGP/OSPF) so that IT teams can keep of track network connections across multiple enterprise deployments. Network admins can leverage cross-site topology to understand the connections between different datacenter sites or from a datacenter site to a public cloud environment.Understand the connections between different datacenter sites using cross-site topology.
Cloud native applications embrace microservices architectures built on ephemeral infrastructure workloads like Docker containers. How do enterprises ensure highly available and reliable cloud native apps while deploying at scale? The Summer 2019 release features new dashboards for Kubernetes monitoring, support for open source application stacks, and integrations for new-age infrastructure workloads like Azure Stack and Mesosphere.
Out-of-the-Box Kubernetes Dashboards: IT teams can track the performance of cloud native services running on containerized deployments with resource utilization metrics for Kubernetes cluster health. OpsRamp delivers granular insights for Kubernetes clusters and underlying containers, pods, and nodes with default Kubernetes dashboards across both on-prem and public cloud environments (AKS, EKS, and GKE).Scale and optimize container infrastructure with out-of-the-box Kubernetes dashboards.
Expanded Application Monitoring: OpsRamp’s application adaptors monitor the availability of popular open source apps with the right performance indicators. Application owners can deliver compelling customer experiences with proactive agentless monitoring and optimize the health of business-critical apps like ActiveMQ, RabbitMQ, Apache Spark, Apache Solr, Elasticsearch, CockroachDB, Couchbase, Fluentd, and Neo4j with relevant metrics.Manage popular apps used in cloud and cloud native stacks with agentless monitoring.
Integrations for Azure Stack and Mesosphere: OpsRamp’s Azure Stack integration ensures dynamic discovery, comprehensive visibility, and consolidated control of Azure Stack deployments through API-based data collection and agent-based virtual machine monitoring. The Mesosphere DC/OS integration automatically discovers and tracks metrics for Mesos master and agent nodes so that IT teams can scale the performance of modern enterprises apps.Discover and monitor Microsoft Azure Stack instances with robust integrations.
The OpsRamp Summer 2019 Release also introduces new platform capabilities for synthetic monitoring, service map enhancements, bulk export of operational data for data mining, and automatic notifications for failures of existing tool integrations.
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
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.