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.
Navigate through the “sea of red” and rely on Grok to separate the signal…
Network service outages can trigger hundreds or thousands of alarms…
Performance issues and service degradations are difficult to isolate and remediate…
As organizations undergo digital transformation initiatives, the increasing…
Every environment has one, but sometimes multiple, massive event…
Grok helps IT teams navigate overwhelming alerts by distinguishing critical signals from background noise. This enhances Mean Time to Identify (MTTI) and Mean Time to Resolve (MTTR) without the need for manual rule creation or maintenance.
Grok integrates effortlessly with both off-the-shelf and custom-built management tools. This ensures compatibility across diverse IT environments, promoting smoother operations and better incident management.
Designed to handle the highest event volumes, Grok scales with your business needs. It supports growth by managing expanding IT environments and maintaining performance even as demands increase.
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.
IT issues rarely stay confined to a single domain. A database issue can cascade, affecting applications and web services. Similarly, network switch or router failures can disrupt entire segments of applications, services, and users.
Many IT organizations handle incidents using separate tools within their own silos. This fragmented approach can delay resolution and overlook interdependencies across the infrastructure.
Grok AIOps integrates with multiple tools simultaneously, providing a unified approach to incident management. By leveraging machine learning, Grok identifies patterns across multi-stack and multi-layer environments, correlating events to pinpoint the most probable root cause.
Results from Grok’s analysis are enriched with contextual insights, including event progression timelines. This complete view helps IT teams understand the broader impact of incidents.
Grok’s machine learning automates classification and workflow assignments. It can initiate repairs, trigger tickets, or start workflows—eliminating the need for preset rules and reducing manual intervention.
By reducing mean time to resolution (MTTR) and automating responses, Grok saves valuable man-hours and ensures service levels are maintained, contributing to overall IT efficiency.
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.
Every IT environment generates large volumes of events monitored by existing tools. However, making sense of this data through analysis and modeling is often complex and overwhelming for IT teams.
Grok ingests event data at scale, seamlessly integrating with off-the-shelf solutions or custom-built tools. This allows for efficient handling of vast amounts of event information without compromising performance.
Grok leverages machine learning to split, shape, and pre-process event streams. This ensures events are separated, combined, and refined based on services, networks (metro, long haul, RF), device types (Ciena, Infinera, Huawei, Cisco), and customers.
By organizing event streams across multiple dimensions, Grok ensures the results are relevant to your business. This tailored approach enhances decision-making and streamlines incident management across diverse IT environments.
Learn how Grok AIOps Transforms Operations for Global Telecom Service Provider
A whitepaper on AIOps and Grok’s Cognitive AI Architecture
Discover the Transformative Power of Grok by Embedding AI into the DNA of your IT Operations.
