AIOps for IT Excellence

Real-time observability and automated cloud resourcing

So teams can detect issues faster, resolve them sooner, and prevent impact before users feel it.

Performance proof points

Web-friendly snapshot of measurable outcomes from IBM Instana and IBM Turbonomic deployments.

IBM Instana

219%

ROI (3 years)

65%

Faster incident response

90%

Less troubleshooting time

IBM Turbonomic

35%

Cloud savings

247%

ROI (3 years)

30%

VMware licensing cost reduction

Overview

AIOps brings together service management, performance management, and automation to deliver continuous insight and improvement. By applying machine learning analytics, AIOps helps simplify IT operations and automate problem resolution across a rapidly evolving IT landscape.

AIOps harnesses operational big data to detect and respond to issues instantly, and provides teams across DevOps, SRE, Platform Engineering, ITOps and Development with the data they need - with the right context, not limited to power users.

Real-time observability for everyone - IBM Instana IBM Instana Observability is an enterprise observability platform powered by fully automated Application Performance Monitoring. It ingests observability metrics, traces every request, profiles every process, and correlates data so teams can optimize application performance - especially in microservices and cloud-native environments.

Instana key indicators

20%

More innovation - free developer time

3x

More speed - increase in deployments

52%

More efficiency - reduction in MTTR

Why Instana

  • Shared context for all stakeholders - from DevOps and SRE to ITOps, Platform Engineering, Developers, and business-side users.
  • Automatic discovery and monitoring with no reboots, no labels, and no tagging.
  • Full-stack context discovered automatically with 1-second granularity and end-to-end tracing of every call.
  • Intelligent action can trigger automatic rollbacks and incident remediation before users are impacted.
  • Real-time dependency mapping reduces risk and decreases MTTR by enabling decisions based on accurate current information.
  • Faster resolution through understanding contributing factors and analyzing requests from any perspective.
Automate cloud application resourcing - IBM Turbonomic IBM Turbonomic continuously automates cloud application resourcing and shows how it improves end-user experience - bridging the gap between Application and Cloud teams.

What you can achieve with Turbonomic

  • Pay for what you need, not what you over-allocate.
  • Prevent performance issues before they impact user experience.
  • Close operational gaps between Application and Cloud teams.
  • Enable cloud elasticity with automation.

Practical outcomes

Turbonomic helps optimize the performance and cost of IT infrastructure across public, private, and hybrid cloud environments, including:

  • Improved IT productivity through simplified tasks and automated decision-making.
  • Optimized public cloud spend while assuring application performance.
  • Safer, more efficient workload migration to reduce cost and increase efficiency.
  • Higher utilization without overprovisioning, removing infrastructure as the cause of performance degradation.
  • Accelerated consolidation and lower-risk transformation across heterogeneous estates.

How we support (consulting delivery model)

We help you operationalize AIOps through a pragmatic engagement that typically covers:

Discovery and baseline

Current toolchain, telemetry coverage, critical services, and operating model.

Implementation and enablement

Setup, onboarding, rules and automation approach, and adoption across teams.

Run-mode readiness

Playbooks, escalation, ownership, and continuous improvement cadence.

Scope the right AIOps setup for your environment

If you want observability that is usable across teams and resourcing automation that prevents issues before they hit users, let's define the next practical step.