“Complex, distributed applications that employ containers, on-prem and cloud resources, orchestration tools, and microservices are more challenging to manage. They generate large volumes of operations data, and when performance problems occur, they issue a cascading series of events, making it difficult for operations professionals to pinpoint the cause.”*
As IT environments grow in scale and complexity, it’s not enough for organizations to monitor infrastructure and applications for performance and availability. They must also manage and optimize the business service as a whole to provide the agility, speed, and scalability required by DevOps initiatives, new technologies, lift-and-shift cloud migrations, and cloud-native applications.
Simply put, IT organizations are facing a firehose of data — far too much to analyze quickly and then respond in time. Trouble signals are being drowned out by too much noise and typically lack the context necessary to determine the root cause. As a result, organizations experience service degradation, availability issues, prolonged mean-time-to-repair (MTTR), and enhanced risk for missing service level agreements.
To cope with increased data volumes and IT environment complexity, operations teams often acquire IT monitoring tools in a tactical and fragmented way, with less than satisfactory results:
Many organizations load up on monitoring tools, which results in higher costs and a lack of integration that complicates rather than improves end-to-end visibility.
Organizations that have modernized their monitoring tools can still be slow to respond to issues because they lack early visibility into anomalies and root causes, and are overwhelmed by noise created by multiple uncorrelated events.
Monitoring alone does little to assist in the slow, methodical task of uncovering and resolving the root cause of performance issues, which delays resolution, wastes skilled labor, and increases MTTR.
multiple single-point tools
MANUAL ROOT CAUSE ANALYSIS
End-to-end monitoring across complex, hybrid environments with containerized microservices is necessary but is not up to the task without AIOps. IT Operations teams must adopt an integrated monitoring, event management, and remediation strategy driven by intelligence, machine learning (ML) and AI-powered data analytics across their entire IT environment.
In addition, they must build AIOps into digital and cloud transformation processes as they aim to maintain the highest visibility, performance, and availability levels possible. To achieve this goal, an effective AIOps strategy must solve for these challenges:
As IT environments grow in size and complexity, it becomes increasingly difficult to see through the symptoms of a problem to accurately identify the source.
Setting manual thresholds to detect anomalous activity can lead to false alarms or overlooked complex multivariate anomalies.
Multiple events are often related to a single root cause, requiring IT staff to spend time sifting through these events to drill down to the root cause, a labor-intensive process.
There are many monitoring tools out there, so you need open integrations and a unified platform that can leverage data from across your environments to obtain intelligent operations management recommendations.
How can you get from monitoring to the full-fledged promise of AI-driven operations management and performance optimization? Your solution should provide these capabilities:
ML-driven anomaly detection
Advanced log analytics
Policy-based, automated event management
AI-driven, service-centric probable cause analysis
Dynamic service models
Multiple data sources
Reporting and easy-to-use, customizable dashboards
A single monitoring solution that acts as a ‘manager of managers,’ which consolidates third-party monitoring and event data, to provide a unified view of complex IT infrastructure
Elastic, containerized microservices architecture that enables enterprise scalability, performance, and availability for any on-prem, hybrid, or cloud-based environment
SaaS deployment, which enables rapid onboarding and the ability to manage complex, dynamic workloads
Leading-edge AIOps and machine learning techniques, which trigger events and notifications before thresholds are breached
Advanced analytics capabilities that have the ability to manage and process the ever-increasing volume, variety, and velocity of data from multiple sources
Open integrations with third-party solutions for maximum visibility and context
Your solution should be smart enough to learn the vital signs of a healthy system and detect anomalies wherever they occur to…
Predict and proactively uncover issues before they cause service degradation or interruption
Recognize univariate and complex multivariate anomalies across configuration items
Rather than receiving indecipherable error messages and URLs, the event can specify issues and locations in plain language.
Manual rules-based event management is time-consuming and prone to oversights and errors. Your AIOps solution should provide automated event management based on analytics and the data governance policies you’ve set. This offers your team these benefits:
Your solution should be able to correlate among multiple events to generate a higher-level event, minimizing noise.
Policy-based event management can generate a plain-language trouble ticket to a help solve a problem affecting a complex, multi-step business process.
The holy grail of AIOps is to bring AI to bear on very large numbers of events, analyze them, and determine the most likely root cause(s) of a problem.
Here’s how AI-driven analytics and automation saves time and resources:
The system reviews data collected across all sources and sees through event noise
It analyzes events that have come in, including factors such as timing, location, anomalies, services affected, and more.
It learns how the infrastructure is configured and the relationships between servers, applications, and data.
It provides the IT team a recommendation for the most likely probable cause.
In seconds, the IT team can focus its attention on the likeliest solution.
While users are experiencing downtimes or performance issues, you're...
Pulling the team away from its other work
Investigating the large number of events showing up on our dashboard
Looking into the metrics generating those events
Referencing a topology view to try to understand dependencies
Scratching your head
Moving onto the next event until you ultimately find the one that really matters
Open integration is a key capability of AIOps, allowing it to pull data from multiple solutions, including third-party tools, for analysis and decision-making.
The AIOps model ingests and consolidates data from all these sources, no matter what monitoring tool was used to detect them.
Ingest metric events and typology from a wide range of sources via REST API out of the box.
Consolidate data and create context-aware analysis.
Provide a software development kit to support intelligent, open integrations from any third-party source.
Maintaining service models can be a time-consuming and resource-intensive process, especially given the rate at which IT changes. Dynamic service modeling helps you avoid physically maintaining a service model Pull discovery data and adding metrics, events, logs, and topology.
Get AI-driven discovery for all CIs and the relationships between them.
Ingest information from aross your environment.
Feed information to an operations management platform for use with probable cause analysis and other capabilities.
BMC Helix Operations Management uses predictive capabilities to improve the performance and availability of IT services across multi-cloud, hybrid, and on-premises environments proactively.
Use ML and analytics to identify operational issues quickly by reducing event noise up to 90%.
Use multivariate or univariate anomaly detection to trigger events
and notifications based on metrics behaving abnormally.
Easily create and deploy customized policies to manage and control events and service impacts and perform event analytics.
Reduce MTTR by viewing the most likely sources of a problem and obtain a full, actionable analysis.
Use out-of-the-box adapters and REST APIs for policy-driven data collection, and ingestion of topologies from third-party solutions.
Unified, open platform for cross-domain visibility, operability, and AI-driven automated actions and workflows.
service models and apply AIOps to enhance anomaly detection and probable-cause analysis and determine
To generate detailed CI datasets and topologies across complex IT environments.
To align IT resources with business service demands.
To optimize cloud resource costs, eliminating wasted spend and budget over-runs.
To deliver dramatic improvements in service desk efficiency using intelligence and predictive capabilities.
The judgements are in
BMC earns high ranking among Infrastructure and Operations (I&O) solution providers on a consistent basis and across multiple dimensions.
In Gartner’s Magic Quadrant for IT Service Management Tools, BMC was categorized as a leader, with the highest ranking in completeness of vision among the 11 ranked providers thanks to its broad IT operations management portfolio, flexible deployment options, and advanced I&O use case maturity.
To learn more, download the full analyst report:
Enterprise Management Assoiates (EMA) scored BMC at the top of the charts for Busines Impact and Business Alignment use-case categories in EMA’s recent AIOps Radar report. According to the report, BMC “offers a rich variety of automation options that are well evolved, well integrated, and central to its vision of the Autonomous Digital Enterprise.”
Through BMC Helix Operations Management and complementary products across the BMC portfolio, we can help you achieve the essential benefits of IT operations management.
Containerized, microservices architecture with SaaS-based deployment enables fast time to value for any complex IT infrastructure
Leading-edge AIOps and machine learning technologies proactively detect and analyze events
Deep insights into complex infrastructures enable Cloud and Operations teams to quickly pinpoint and prevent issues
Flexible scalability for managing complex, dynamic workloads
ENHANCED BUSINESS CONTINUITY:
Contact us for a detailed demonstration of what BMC Helix Operations Management can do for you.
BMC delivers software, services, and expertise to help more than 10,000 customers, including 92% of the Forbes Global 100, meet escalating digital demands and maximize IT innovation. From mainframe to mobile multi-cloud and beyond, our solutions empower enterprises of every size and industry to run and reinvent their business with efficiency, security, and momentum for the future.
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BMC delivers software, services, and expertise to help more than 10,000 customers, including 92% of the Forbes Global 100, meet escalating digital demand, and maximize IT innovation. From mainframe to mobile multi-cloud and beyond, our solutions empower enterprises of every size and industry to run and reinvent their business efficiency, security, and momentum for the future.
Run and Reinvent