LogicMonitor + Grokstream

Deploy & Classify. ROI you can track. See how we helped transform NTT's environment.

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Intelligent Operations to Deliver

Improved Service Levels and Agility

When Paired with LogicMonitor

For Enterprise IT Operations using LogicMonitor for Observability

Reduce noise and identify probable root cause. This enables your teams to focus and quickly take action, while minimizing disruptions and keeping services up and running. Early incident detection and anomaly detection allows you to address issues before they affect your business and your customers.

For Service Provider Network Operations using LogicMonitor for Observability

Quickly navigate through the “sea of red” and separate the signal from noise to improve MTTI and MTTR without having to maintain rules. Scale to the highest event rates and integrate with your most trusted custom and off-the-shelf tools. Manage, shape and isolate event streams that are relevant for your business.

For Managed Service Providers using LogicMonitor for Observability

Efficiently and effectively manage hundreds or thousands of different customers with plug and play machine learning models automatically tailored for each customer. Quickly reduce noise and correlate to probable root cause for rapid diagnostics and MTTR to keep customers up and running while maintaining your SLAs.

How Grokstream AIOps Can Help Increase Efficiencies and Reduce Costs when Paired with LogicMonitor

Grokstream Incident Automation - up to 90% of LogicMonitor Alarms can be Automated: Actual Use Case

Grokstream leverages it’s unsupervised clustering algorithm to group the 7,177 alarms into 23 meaningful detections. Each detection consist of a number of alarms. These alarms make of the fingerprint of the problem.

Grokstream detections will include lower severity alarms, that will act as early warning signal, and allow us to be proactive.

Grokstream leverages it’s classification algorithm to tell us how many times each of the detections have happened in the past, and whether or not they should result in an Incident. Additionally, it provides a root cause label. Grok has determined that of the 23 detections, only 7 should result in an incident.

Eliminate Noise and Correlate to Probable Root Cause for Dramatically Reduced Downtime

Network service outages can trigger hundreds or thousands of alarms across multiple nodes. A single condition, like a fiber cut, can create a cascading effect and result in a “sea of red” in your monitoring tools. This creates huge challenges to quickly determine root cause and take remediation steps. Grok AIOps leverages machine learning to quickly and easily model the infrastructure and utilizes powerful event clustering algorithms to correlate like events and surface probable root cause. Resources can focus on the real problem. Reduce MTTI and MTTR, while more efficiently using resources to ensure your services are up and running.

Quickly (within 30 Days of deploying Grokstream) See up to 90% of LogicMonitor Events Compressed

Very little work is required to start effective grouping decisions. No prior knowledge of network or service connectivity is required to see high quality grouping. The system learns dynamically, automatically with each new observation.

Humans can provide feedback directly into the system to interactively modify behavior over time. Heuristics (rules) can still be added to supplement and enhance the AI-centric output (Topology-based; service based, Tribal knowledge), without negatively impacting the underlying mechanics of the cognitive workflow.

Grokstream AIOps + our MLOps components built on the Numenta framework allows our solution to quickly classify and compress the number of events sent from LogicMonitor.

Find Issues with Early Detection and Advanced Notification to Prevent Outages and Problems

As organizations undergo digital transformation initiatives, the increasing volume of data from networks, systems, applications, and tools continues to grow exponentially. Without appropriate tools to manage the vast volume of these changes, organizations will struggle to proactively manage their environment. Grok AIOps utilizes machine learning to provide an early warning system for event stream analysis by creating incident signatures. When incoming events begin to match recognized signatures, operators can be immediately notified to take remedial actions before a critical outage or incident occurs.

Scale and Logically Manage Event Streams Relevant to Your Business & Witness true ROI when Adding Grokstream AIOps to LogicMonitor Observability Solutions

Grok is an AIOPS platform that utilizes each required domain of ML (anomaly detection, clustering, and classification) organized by a domain specific cognitive model, a meta cognitive model, that learns from log streams, event streams, and time series data streams, together with their effect on performance of the upstream services as captured in incident records etc.

That means when you pair LogicMonitor observability with Grokstream AIOps, you will quickly see the ROI based on reduced downtimes and workloads across your NOC landscape.

AIOps For Enterprise IT Operations Utilizing using LogicMonitor Observability Platforms

Agility and Intelligence to Do More With Less

Reduce noise and correlate to find probable root cause to keep your services up and running. Allow your teams to work effectively and focus on incidents that matter. Both early incident detection and anomaly detection will allow you to address issues before they impact your business and your customers.

Reduce Noise and Incidents to Allow Teams to Focus on What Matters

Typical IT environments are noisy and the volume of events continues to grow at unprecedented rates especially as IT organizations adopt agile DevOps practices and new modern cloud, container, and virtualization technologies. Rather than helping, the massive amount of events actually hinders IT’s ability to see meaningful relationships and identify the root cause. Grok AIOps leverages machine learning to quickly and easily model complex IT infrastructures while utilizing powerful event clustering algorithms that consolidate and correlate similar and related events into meaningful detections for analysis and remediation. Let Grok AIOps do the hard work so your teams can focus time and resources on fixing real problems that matter to the business.

Correlate to Probable Root Cause to Keep Services Running

Rarely are IT issues only isolated to one domain. A database problem can have a cascading effect on apps and web services. A network switch or router problem can have broad effects across segments of applications, services and end users. Many IT organizations often manage incidents with their own tools and only within their own silos. Grok AIOps can integrate with multiple tools in parallel. It utilizes machine learning algorithms to identify patterns across multi-stack and multi-layer IT infrastructure environments to
correlate events to the most likely root cause. Results are enriched and displayed in meaningful contextual views with event progression timelines to provide a complete view. Grok’s machine learning-based
automated classification and workflow assignments
can automate a repair or trigger a ticket or workflow without the need for preset rules. Grok can quickly respond, reduce MTTR and save countless man-hours to maintain your service levels.

Gain Machine Learning Intelligence Without Replacing Existing Tools

Many IT organizations have made significant investments in their existing tools and processes. Grok AIOps allows companies to continue leveraging these investments by bi-directionally integrating
with these existing tools and providing a sophisticated AI and machine learning layer. This layer provides better insight and intelligence than possible with existing tools. Grok ingests events from the existing tools, then intelligently processes, analyzes, correlates and synchronizes critical information across multiple systems.

Plug and Play Machine Learning and No-Rules for Fastest Time to Value and Lowest TCO

The tools built for IT teams should be simple to use, easy to maintain and quickly deliver value to the organization. Unfortunately not all IT tools are built with this approach and IT teams are encumbered with long implementation times, time consuming administrative and rules management workloads, and with typically mediocre value returned to the business. Grok provides the industry’s most comprehensive AIOps solution. Our solution integrates with your existing tools to immediately deliver insight and intelligence without requiring complex configurations, rule definitions or algorithm development. Grok was developed to assist overworked teams, reduce OPEX costs and quickly deliver significant value back to your business.

Early Detection to Prevent Incidents Before They Occur

While most IT teams focus on fast response and reaction times, many are also looking to proactively manage their environment. Grok AIOps gets organizations one step closer with incident prediction and early detection capabilities. Grok AIOps leverages machine learning to provide an early warning system to analyze event streams and identify similar characteristics leading up to an incident. These valuable signatures define an upcoming incident and notify operators when similar event patterns are recognized, preventing a critical impending outage. With Grok AIOps, the best incident is no incident at all!

Grokstream AIOps For Service Provider Network Operations using LogicMonitor Observability Platforms

Intelligence and Scale Built for Service Assurance

Navigate through the “sea of red” and rely on Grok to separate the signal from the noise to improve MTTI and MTTR without having to create and maintain rules. Integrate with both off-the-shelf and home-grown management tools, while maintaining the ability to scale to the highest event volumes and support the growing business.

Eliminate Noise and Correlate to Probable Root Cause

Quickly Isolate and Identify Performance Issues

Performance issues and service degradations are difficult to isolate and remediate. Oftentimes, network and service operators see performance issues such as frame errors, pchip errors, or errant lines, but these can be symptomatic of a bad card or a bad line which can be quickly addressed. The root cause of these issues, however, can be difficult to find, diagnose and correlate. The process can take multiple hours and is resource-intensive. Grok AIOps models your network and infrastructure in real-time and is able to quickly analyze multiple performance metrics, logs, and events. This enables efficient correlation to a probable root cause and effective workflow assignment, guaranteeing issues are quickly addressed.

Find Issues with Early Detection and Advanced Notification to Prevent Outages and Problems

Scale and Logically Manage Event Streams Relevant to Your Business

Every environment has one, but sometimes multiple, massive event pipes being managed and monitored by existing tools. However, analyzing, modeling and making sense of this data is challenging. Grok ingests these events at scale from off-the-shelf or homegrown, custom tools. Grok then provides a unique event splitting and shaping capability that leverages machine learning to help separate, combine and pre-process event streams by a particular services, networks (metro, long haul, RF, etc.), device types (Ciena, Inifinera, Huawei, Cisco, etc), customers, or across multiple dimensions, to ensuring results that are relevant to your business.

AIOps For Managed Service Providers using LogicMonitor Observability Platforms

Agility and Intelligence to Deliver Unparalleled Service

Efficiently and effectively manage hundreds or thousands of different customers with plug and play machine learning models automatically tailored to customer environments. Quickly reduce noise and identify probable root cause for rapid diagnostics and MTTR ensuring you meet your Service Level Agreements (SLAs).

Managed service providers (MSPs) provide critical solutions to many organizations. Many companies rely on, and embrace, MSPs to better adapt to technological changes and assist in their digital transformation initiatives. However, as an MSP, there is constant pressure to improve service levels with limited resources and increasingly complex technology stacks. Grok AIOps was developed to support the specific needs of MSPs by providing better intelligence and insight, coupled with the ability to manage change, complexity and scalability in customer environments.

Manage the Complexity of your Customer Environment

Customer environments are varied and diverse. MSPs offer customer-specific solutions, while attempting to achieve economies of scale with customers that have similar toolsets and processes. Grok AIOps provides the flexibility to manage customers independently or manage multiple customers centrally. Grok’s plug and play machine learning model automatically and dynamically learns a single complex customer environment or scales the model across multiple customer environments.

Scale your Services and Resources

The most innovative MSPs are always adding more customers and delivering more services. Unfortunately in most cases, companies are not given the option to add more personnel or resources to support the growth. Grok AIOps helps scale your team and leverage AI, machine learning and automation to work for you. Grok AIOps can do the heavy lifting by handling the cumbersome, manual tasks that your team needs to perform. This may include activities such as incident diagnostics and triage, manual correlation and rules creation. Focus your human resources on high value, strategic tasks and give your teams the agility to innovate and grow your business.

Improve SLAs and Resolution Times

Customers are demanding and competition is fierce. Ongoing outages or slow response times can result in lost business. Grok AIOps helps companies to meet or exceed SLAs by greatly improving your ability to respond to incidents ensuring you stay ahead of outages. Grok uses advanced machine learning algorithms to reduce noise and correlate root causes to efficiently resolve problems. In addition, Grok provides correlated, contextual information that can automatically assign workflow, automations or actions so issues can be addressed in minutes instead of hours.

Build Agile and Optimized Operations

Teams using Grok AIOps can transform themselves from reactive, manual operations to responsive, automated, self-learning operations. Grok AIOps adapts as customer environments change. Its machine learning models are dynamic and continuously optimized. Our event clustering, classification, anomaly detection and predictive algorithms provide immediate results. The models dynamically evolve and learn continuously eliminating any need for static correlation rules.

Access the On-Demand Demo & See how Grokstream AIOps can Dramatically Change Your ITOps Workloads

Grok was built for IT, Network and Infrastructure teams, not for machine learning data scientists. Grok takes the complexity out of AI and machine learning, allowing organizations to quickly harness the benefits with its plug and play approach. Our solution begins modeling your infrastructure in real-time with minimal configuration. These models quickly recognize and build patterns, relationships and signatures at machine speed and provide better correlations, observations, and insight to begin delivering operational value in days, not months. Grok does not rely on pre-canned models or cookbooks, nor will our team ask you to build algorithms from a toolkit. Over time, Grok’s models continue to learn and dynamically update, becoming “smarter” even as the environment continues to change.