OpsRamp Summer 2021 Release

The Summer 2021 Release helps modern IT operators deliver outstanding customer experiences with intelligent event management, powerful hybrid infrastructure monitoring, and enhanced user experience.

Alert Enrichment. The sheer volume, velocity, and variety of operational data such as metrics, logs, traces, and events can quickly overwhelm the most seasoned IT teams. If technology operators have to respond quickly to critical incidents, they need more actionable insights from their alert notifications. Alert enrichment policies accelerate problem resolution by augmenting the 'problem area' field in an alert description. Enriched alerts can be used for faster event correlation and drive timely incident response with alert metadata information.

Alert Enrichment Identify problems faster with relevant alert information

Predictive Alerting. Predictive alerting improves enterprise reliability and performance by detecting leading indicators of possible systemic failure. Alert prediction policies analyze historical time series data for seasonality patterns to predict and prevent business-impacting IT outages. Predictive alerts can also be linked to automation workflows to drive proactive responses for impending service disruptions.

Predictive Alerting Anticipate which alerts turn into performance-impacting incidents

Cloud Monitoring. While Alibaba Cloud has a strong presence in the Chinese and Asia Pacific market, it has grown into a global cloud powerhouse with more than 9 percent worldwide market share. Cloud operators can now monitor the performance and availability of core Alibaba Cloud services such as ECS instances, Auto Scaling, RDS, Load Balancer, EMR, and VPC.

Cloud Monitoring Monitor and maintain the performance of cloud services running in Alibaba Cloud

Datacenter Monitoring. While public cloud spending is growing much faster than datacenter investments, organizations still run their mission-critical workloads on-premises for a number of reasons. System administrators can now monitor the performance of their enterprise workloads running on Hitachi VSP OpsCenter, NAS and HCI, VMware vSAN, NSX-T and NSX-V, Dell EMC PowerScale, PowerStore and PowerMax, and Poly Trio, VVX/CCX and Group using OpsRamp.

Datacenter Monitoring Ensure availability of Hitachi, VMware, Dell EMC, and Poly datacenter infrastructure

User Experience. Incident managers can quickly respond to alerts and incidents with OpsRamp’s new mobile application that supports both Android and iOS devices. Operators can reduce blue-light fatigue with dark mode user interface that offers better ergonomic support and improves readability for incident troubleshooting.

Datacenter Monitoring Reduce strain for network operations teams that work in low-light conditions

OpsRamp Spring 2021 Release

The Spring 2021 Release delivers innovative capabilities for hybrid cloud operations with self-service onboarding, metrics observability, powerful dashboarding, centralized alerting, and cloud and hyperconverged infrastructure monitoring.

Rapid Onboarding. Cloud infrastructure adoption is showing no signs of slowing down in 2021, with global enterprises expected to spend more than $300 billion on public cloud services. OpsRamp enables faster migration to multi-cloud and cloud native infrastructure with its newly introduced auto-monitoring capabilities. Automated monitoring abstracts the heavy lifting needed to discover a cloud resource, configure and clone monitoring templates, and adjust alert thresholds. Once cloud operations teams provide access details for their cloud environments, auto-monitoring discovers, monitors, and builds out-of-the-box dashboards for popular cloud services without any manual configuration.

Transformed User Experience Seamlessly onboard, monitor, and alert across cloud and cloud-native infrastructure

Data-Driven Insights for Hybrid IT Management. Cloud infrastructure management requires operators to shift their focus from getting the data out (instrumentation) to information visualization and alerting workflows. OpsRamp’s powerful new dashboards are built on Prometheus Query Language (PromQL), which is the de-facto expression language for extracting relevant insights from a time-series database. Our new dashboards offer powerful customization capabilities for effective hybrid monitoring and can be either imported or shared across different users.

Transformed User Experience Meet your service level objectives with powerful and customizable dashboards

Cloud Native Metrics Observability. The three most popular projects in the Cloud Native Computing Foundation (CNCF) ecosystem are Kubernetes, Prometheus, and Helm. OpsRamp can now directly consume Prometheus metrics which can then be used for building dashboards or sending alerts. OpsRamp offers a volume-based pricing model for ingesting Prometheus metrics which are stored at 12-month intervals. CloudOps teams can also cut down on Prometheus data sent to OpsRamp so that they are not spending on superfluous metrics. OpsRamp also supports native event ingestion for Prometheus Alertmanager so that operators can use the AIOps and workflow automation capabilities to respond to critical issues.

Transformed User Experience Maintain the health of containerized workloads with Prometheus metric integration.

Flexible and Centralized Alerting.Cloud operators can now create alert definitions that spell out warning and critical thresholds for a metric. This allows operators to take a metric, filter by key tags in the metrics, configure a threshold, and then build routing policies to make sure an alert goes to the right person. Alert definition models provide flexibility in configuring threshold settings and act as a logical layer that sits above the metric data.

Transformed User Experience Streamline the process of configuring alert thresholds for collected metric data.

Cloud and Hyperconverged Infrastructure Monitoring.OpsRamp now offers additional monitoring coverage for Microsoft Azure services such as Blob Storage, Table Storage, File Storage, BatchAI Workspaces, BlockChain, Databox Edge, and Kusto Clusters. The platform can also discover, monitor, and ingest events for Cisco HyperFlex components as well as discover and monitor physical components of Dell EMC VxRail appliances.

Transformed User Experience Keep your Azure services up and running with OpsRamp’s cloud monitoring capabilities.

OpsRamp Spring Release, May 2021

OpsRamp Fall 2020 Release

The Fall 2020 Release delivers innovative capabilities for Discovery & Monitoring with the new Onboarding Wizard, curated dashboards, and greater support for cloud native and multi-cloud services. Remediation & Automation updates include human interaction for automated workflows, workflow monitoring, and multi-instance loops.

Discovery & Monitoring

In response to the global pandemic, a recent Gartner forecast finds spending on public cloud services will exceed $300 billion in 2021. OpsRamp offers comprehensive support for 150+ public cloud services across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. The platform also integrates with container orchestration tools such as Kubernetes, OpenShift, K3s, and Containerd as well as managed cloud Kubernetes environments. The Fall 2020 Release makes it easy for IT operations teams to discover, monitor, alert, and optimize their cloud infrastructure with minimal effort.

Hybrid Cloud Onboarding Guide. The new hybrid cloud onboarding guide offers step-by-step instructions on how to integrate your cloud and cloud native services within OpsRamp. The Onboarding Wizard is a guided walkthrough that quickly discovers and monitors multi-cloud environments in four simple steps:

  • Step 1 - Select the different cloud and cloud native integrations that you wish to install across AWS, Azure, and Google Cloud.
  • Step 2 - To onboard your cloud account, provide account credentials, select region, specify IAM role/user, and enter the account number, access key, and security key.
  • Step 3 - Filter the cloud and cloud native resources that you wish to onboard using tags, resource types, or pre-defined defaults.
  • Step 4 - Configure your discovery schedules, decide if you want to stream CloudWatch alarms, CloudTrail events, or AWS events, and click finish.

After onboarding your cloud account, you can immediately access curated dashboards to analyze the health and status of your cloud and cloud native environments.

Transformed User Experience Quickly onboard cloud and cloud-native resources with the onboarding wizard

Curated Dashboards.The powerful new dashboarding model uses the PromQL query builder for delivering granular metric insights for deeper analysis and better visualizations. IT teams can either build curated dashboards from scratch or customize specific tiles in an existing dashboard. Operators can also create a central dashboard repository for their business units or re-use dashboards for shared IT services.

Curated Dashboards Monitor, manage, and optimize the performance of multi-cloud services

Container and Multi-Cloud Monitoring. OpsRamp can now automatically detect and monitor business applications hosted on containerized infrastructure. IT admins can see which applications are running inside container clusters, instrument container runtimes with OpsRamp agents, and gain quick visibility into app performance using dashboards. OpsRamp can auto-detect and monitor more than 25 popular apps such as Apache Kafka, Apache Cassandra, MongoDB, and MySQL. We have also expanded public cloud coverage to include AWS ECS, Azure Functions, Azure Hyperscale, and Azure SQL Managed Instance.

Container and Multi-Cloud Monitoring Gain deeper application performance insights for containerized workloads

Remediation & Automation

By 2024, research firm IDC expects that 50% of employees will leverage personal bots to prioritize critical work and outsource repetitive activities. The Fall 2020 Release ensures resilient and reliable hybrid infrastructure with intelligent automation capabilities.

Human Interaction for Automated Workflows. IT operations teams can now add human interaction tasks for an automation workflow. If a workflow touches a critical piece of your production infrastructure, you can request approvals before a remediation action can take place on a device. This ensures the right actions get taken to resolve an issue with the right amount of human oversight and accountability.

Automated Workflows Require human involvement and interaction for workflow execution

Workflow Monitoring. IT teams can gain complete visibility into their automation workflows and associated tasks with workflow monitoring. Operators can understand which particular step of a workflow is running, which process is waiting for approval, track any errors that might have occurred, and receive a full audit trail of their workflow.

Workflow Monitoring Monitor and troubleshoot automation workflow issues during testing and production

Multi-Instance Loops. Some operational processes require processing on multiple resources at the same time for service, script, platform, and API-level tasks. When an admin needs to run a task on two different resources at the same time, they can use multi-instance loops to complete sequential tasks in a single step.

Multi-Instance Loops Drive rapid execution of automation tasks on multiple resources OpsRamp Fall Release, November 2020

OpsRamp Summer 2020 Release

The Summer 2020 Release delivers innovations for Hybrid Discovery and Monitoring with new synthetic checks for multi-step transactions and 22 cloud monitoring integrations for Amazon Web Services. Event and Incident Management updates include alert sequencing visualizations for machine learning transparency and Syslog event ingestion for analyzing system behavior. The release also delivers new features for advanced resource search, out-of-the-box alert integrations, and a new documentation website.

Hybrid Discovery and Monitoring

Research firm IDC predicts that global spending on digital transformation will reach $1.3 trillion in 2020, an annual growth of 10.4% this year. OpsRamp's Summer 2020 Release gives enterprise IT the means to deliver and optimize digital experiences for employees, customers, and partners with synthetic and multi-cloud monitoring capabilities.

Synthetic Monitoring. IT organizations can understand the transaction-level performance of their web applications across global locations with synthetic checks. Site reliability engineers can create labels for user actions on a multi-step transaction and quickly isolate specific transaction steps causing web services latency with performance metrics. Application owners can logically rename different steps in a complex web transaction to mimic user actions. Customizable transactional steps can better pinpoint which parts of a web transaction are causing user experience issues. Web administrators no longer need to hardcode credentials into their Selenium monitoring scripts. They can either create new HTTP credentials or pull existing access details stored securely in the credentials store for running synthetic tests.

Synthetic Monitoring Model core user flows and catch potential issues in advance with synthetics

Multi-Cloud Monitoring. As an Amazon Web Services (AWS) Select Technology partner, Microsoft Azure partner, and Google Cloud Platform (GCP) partner, OpsRamp delivers more than 140 cloud monitoring integrations across the three leading platforms. The latest release supports more than 22 new AWS cloud services including popular offerings such as AppSync, Managed Streaming for Kafka, NAT Gateway, and SageMaker that enterprises are increasingly using while they shift more workloads to the public cloud.

Multi-Cloud Monitoring Monitor, manage, and optimize the performance of multi-cloud services

Event and Incident Management

Research firm IDC projects that 70% of CIOs will use AIOps tools by 2021 to optimize technology spending and drive greater innovation. The Summer 2020 Release ensures consistent and delightful user experiences with new event management capabilities.

Alert Sequencing Explainer. IT operators can access a high-level tutorial from within the alert dashboard on how OpsRamp converts raw events into correlated inferences. Alert sequencing explainers offer interactive documentation on how the OpsQ event management engine processes native and third-party alerts, normalizes, and then correlates them.

Alert Sequencing Explainer Gain visual context and transparency around OpsRamp’s alert sequencing policies

Alert Sequence Policy Status. Alert sequence policy status lets IT teams understand if machine learning models for incident management have sufficient data to perform accurate event correlation. Users can view model training progress at different stages of the event management lifecycle and see which inferences were processed using a specific correlation rule.

Alert Sequence Policy Status Visually determine the machine learning stage for an event management policy

Syslog Event Ingestion.IT organizations can reduce overall event noise and ensure faster problem resolution with contextual Syslog event processing. Syslog parsing and alert rules can be defined and managed centrally from the OpsRamp platform.

Syslog Event Ingestion Define and manage rules for processing Syslog events in OpsRamp

Other Platform Updates

The Summer 2020 Release also introduces new capabilities for advanced search, alert integrations, and a new documentation website.

Advanced Resource Search.IT teams can use advanced search as a robust discovery mechanism to capture resources attributes and perform complex searches (mix-match or conditional queries using different orders of execution) to find the exact resources they need.

Advanced Resource Search. Discover resources with advanced resource search using composition search criteria

Alert Integrations. OpsRamp supports event ingestion, deduplication, and analysis across leading third-party monitoring tools. This release lets IT teams aggregate and correlate events from AppDynamics, Microsoft Systems Center Operations Manager, Sumo Logic, and Sysdig.

New Documentation Website. The new product documentation site has a simplified topic layout and navigation, improved search, and better API documentation.

OpsRamp Summer Release, June 2020

OpsRamp Winter 2020 Release

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.

Better Support Digital Transformation with AIOps

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.

OpsQ Recommend Mode 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.

Visualization of Alert Seasonality Patterns 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.

Alert Stats Widget Understand event volume reduction at each stage of the alert lifecycle

Drive Enterprise Agility with Hybrid and Multi-Cloud Monitoring

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.

Cloud Topology Maps Increase the accuracy of ML models for event management with topology context

Other Platform Updates

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.

Agentless Discovery and Monitoring for Windows Servers 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.

Webhook authentication support for custom integrations 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.

OpsRamp Fall Release, Oct 2019

OpsRamp Fall 2019 Release

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.

Service-Centric AIOps: Manage Mission-Critical Services with Algorithmic Insights

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 Reinforced Correlation
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.

OpsQ Observed Mode 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.

Improved Alert Ingestion Incorporate additional resource information while creating a new alert.

Multi-Cloud Monitoring: Accelerate Digital Transformation with Cloud Adoption

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.

AWS Developers Tools 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.

Other Platform Updates

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.

AWS Developers Tools 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 Webhook authentication support for custom integrations. OpsRamp Fall Release, Oct 2019

OpsRamp Summer 2019 Release

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.

Service-Centric AIOps: Reduce Network Downtime and Drive Real-Time Performance Analysis

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 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.

Auto Suppression 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.

3rd Party Events 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.

Impact Visibility and Service Context Auto-create and assign incidents with alert escalation policies that use live event data.

Impact Visibility and Service Context: Dynamic Dependency Mapping for Hybrid Infrastructure

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.

Cloud Topology for AWS 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.

AIOps for Proactive IT Operations Understand the connections between different datacenter sites using cross-site topology.

Cloud Native Discovery and Monitoring: End-to-End Visibility for Modern Infrastructure Services

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).

AIOps for Proactive IT Operations 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.

AIOps for Proactive IT Operations 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.

Cloud Native Monitoring and Event Management Discover and monitor Microsoft Azure Stack instances with robust integrations.

Other Platform Updates

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 Summer Release, May 2019

OpsRamp Winter Release, January 2019

Impact Visibility and Service Context: Greater Service Centricity For Faster Resolution.

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.

AIOps for Proactive IT Operations: Data-Driven Insights For Modern Hybrid Infrastructure Management.

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.

Cloud Native Monitoring and Event Management: Access Real-Time Analytics for Better Performance Visibility.

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 Winter Release, January 2019

Introducing OpsRamp OpsQ

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:

  • Topology. Understand the relationships between IT services and underlying infrastructure. Identify the root cause alerts for an incident with the right situational context and impact analysis.
  • Clustering. Cluster events based on their attributes by analyzing similarities and correlating different alerts into one inference alert.
  • Co-occurrence. Analyze alert sequence patterns for existing alerts to correlate alerts and identify the root cause(s) for an incident.
AIOps Features

October 2018 Update | Product Webinar | Blog Post Overview


OpsRamp Fall 2018 Release

Topology Explorer: Track Network Performance To Prevent Unforeseen Surprises.

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:

  • Visualize upstream and downstream dependencies for hybrid infrastructure by understanding your network topology interconnections
  • Accurately profile your network with detailed resource-level information (OS, make, model, device type, alerts, incidents, patches, and uptime) for any device in your network
  • Deliver contextual troubleshooting for incident management with a holistic view of your IT environment
Topology ExplorerNetwork Dependency Mapping for enhanced diagnosis of performance anomalies

Application Mapping: Discover and visualize critical dependencies across applications, server, and network components so that you can:

  • Deliver business-service context by better understanding how your applications interact with each other
  • Remove blind spots and gain operational visibility with end-to-end visibility for your application services
  • Visualize your entire application stack with dynamic discovery for over 40 applications
Topology Explorer Application Dependency Mapping for better end-user and business outcomes

Enhanced Service Maps: Drive Application Availability And Business Resilience.

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 MapsService Maps for improved performance visibility and customer experiences

Multi-Cloud Database Monitoring: Deep-Dive Performance Insights For Your Cloud Databases.

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:

  • Identify performance bottlenecks for your production databases with query-level performance insights for transaction and query throughput, query execution performance, connection errors, and buffer pool usage
  • Drive database performance tuning and troubleshooting with smart alerts and instant notifications for any issues in your cloud databases
Multi-Cloud Database MonitoringMulti-Cloud Database Monitoring for quicker detection of database failures

Improved Alert Management: Focus On The Incidents That Demand Urgent Action.

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 ManagementAlert Management for gaining control of alert floods

Comprehensive Reporting: Manage Service-Level Performance With The Right Metrics.

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 ReportingComprehensive Reporting for data-driven operational insights Webinar

Summer 2018: OpsRamp 5.0

Multi-Cloud Visibility Dashboard: Comprehensive Control For A Cloud-Native World

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:

  • Locate Global IT Assets.The Global Assets widget displays a geographical distribution of hybrid IT assets across datacenter and cloud.
  • Analyze Cloud Spend.The Cloud Cost Insights widget provides a quick snapshot of public cloud consumption by cloud account, custom attributes, and other criteria.
  • Uncover Usage Patterns. The Cloud Cost Trend widget delivers trend analysis for multi-cloud services by resource type, custom attributes, and other criteria.
Multi-Cloud Visibility DashboardMulti-Cloud Visibility Dashboard for optimal cloud management

Learn more about Unified Service Intelligence, the hybrid visibility solution for service-oriented management.

AIOps Inference Engine: Extract Signal From Noise

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.

Inference Stats AIOps Inference EngineAIOps Inference Engine for intelligent correlation

Custom Reports: Drill-Down Into The Operational Metrics That Matter

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).

Custo ReportsCustom Reports for the right operational insights

Redesigned Service Maps: Optimize Service and Process Performance

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-MapsService maps for reliable service performance

Learn more about Unified Service Discovery, the real-time discovery and dependency mapping solution for hybrid environments.

Expanded Integrations: Manage Your Hybrid Estate In A Single Platform

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.