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The essentials The essentials Blend cloud and on-premises resources for
flexibility and balance What is Hybrid Cloud? Hybrid Cloud solutions Unlock the
value in your organization with Watson What is AI? AI solutions My IBM Log in


ASSURE APPLICATION PERFORMANCE WITH AIOPS




WHY YOU NEED AIOPS AND IT AUTOMATION

01


WHY YOU NEED AIOPS AND IT AUTOMATION

Today’s digital businesses depend on the performance and availability of
critical business applications and the infrastructure on which they run.

3 min read
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FASTER DECISION-MAKING

02


FASTER DECISION-MAKING

Discover, map and monitor the full application stack with enterprise
observability.

3 min read
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SMARTER RESOURCE MANAGEMENT

03


SMARTER RESOURCE MANAGEMENT

Dynamically allocate application resources to absorb shifting user demands and
deliver target response times.

3 min read
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PREDICTIVE AIOPS

04


PREDICTIVE AIOPS

Automate labor-intensive processes and achieve proactive incident resolution.

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NEXT STEPS

05


NEXT STEPS

IBM can meet you wherever you are in your AIOps journey. Spend more time on
innovation and less time on troubleshooting.

4 min read
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Assure application performance with AIOps
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01

3 min read

Why you need AIOps and IT automation


TODAY’S DIGITAL BUSINESSES DEPEND ON THE PERFORMANCE AND AVAILABILITY OF
CRITICAL BUSINESS APPLICATIONS AND THE INFRASTRUCTURE ON WHICH THEY RUN.

Watch: Where is your organization in AIOps adoption?



According to a McKinsey study, CIOs cited the need to react more quickly as the
top reason for making changes to their organizations.¹

A lack of visibility across hybrid and multicloud environments, rising costs,
inefficient resourcing decisions and lack of centralized control has slowed the
ability to digitally transform their business. The use of technologies such as
virtual machines, container-based microservices and shared multi-tenant
infrastructure can accelerate application development, but introduces
operational complexity.

Modern applications are often separated by multiple layers of abstraction,
making it difficult to understand which underlying physical server, storage and
networking resources are supporting which applications. Traditional methods of
forecasting resource requirements based on “set it and forget it” estimates can
lead to overallocation of resources, or worse yet, starve applications during
usage spikes. Even with an additional resource margin, performance isn’t assured
due to the unpredictable nature of modern application demands.

Resource optimization that requires an operator to manually update the
production environment will fall short in dynamic demand situations. To stay
relevant, modern organizations are turning to a new, AIOps-driven approach that
improves speed, utilization and service delivery.

 * Faster decision-making: Full-stack, enterprise observability
 * Smarter resource allocation: Dynamic resource management and cost
   optimization
 * Predictive AIOps: Autonomous problem determination, remediation and avoidance

It’s also important to consider a collaborative consulting approach that is
attentive to your specific needs and goals, and dedicated to helping you achieve
breakthrough innovations with exponential impact.

According to a recent Forrester TEI report, “a composite organization
experiences benefits of USD 15.96 million over three years versus costs of USD
2.80 million, adding up to a net present value (NPV) of USD 13.16 million and an
ROI of 471%.”
Read the full report

Keep reading to learn how IBM AIOps solutions can enhance and simplify your IT
operations. You can also talk to an IBM expert anytime.

1 The need for speed in the post-COVID-19 era—and how to achieve it, McKinsey &
Company, 9 September 2020.

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02 Faster decision-making
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02

3 min read

Faster decision-making


FULL-STACK AND ENTERPRISE OBSERVABILITY

> “ Before Instana, if a bug slipped into production, it could take developers
> up to three days to find the root cause and permanently fix the issue. With
> Instana, we’re immediately notified with the root cause, and we can resolve
> the problem in a third of the time or less.”

Kirill Merkushev
Head of Backend
Vivy
Read the full client story

The challenge

Traditional monitoring tools lack the visibility that’s required to manage the
performance of modern IT environments and address potential bottlenecks before
they impact users. You need to automatically ingest observability metrics,
tracing every request and profiling all processes across microservice platforms.

Key use case: Application monitoring

Asking developers to add extensive logging code for monitoring takes time away
for high-value code production. With a combination of automated instrumentation
and judicious manual code logging, your applications can support
enterprise-level observability based on health and performance metrics,
distributed traces, and logs.

An observable system enables you to collect diagnosis and resolution data from
your production environment in near real-time. This process helps your ITOps
team resolve incidents more rapidly, even when services are widely distributed.
With reliable, complete metrics and distributed tracing from your production
systems, your team will escape the problem resolution “blame game” since your
captured data will point to the responsible components rather than relying on
hunches.

The solution

IBM Observability by Instana® APM is an application performance management (APM)
platform that handles automated instrumentation for many popular runtime
environments, such as Java, Node, and Python, without requiring multiple agents.
The application-level metrics, tracing and logs are captured in production and
analyzed for a synthesized view of your application and infrastructure estate.



> “ Reduce time to debug applications by 75%.”1

Your ITOps and development teams can use the Instana dashboards to monitor your
application performance with intelligent grouping, giving them end-to-end
visibility—all the way from the user's browser to the services and
infrastructure layer.

Learn more: Talk to an expert

1 The Total Economic Impact of IBM Cloud Pak For Watson AIOps With Instana (956
KB)PDF, Forrester study commissioned by IBM, July 2021.

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03 Smarter resource management
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03

3 min read

Smarter resource management


DYNAMIC RESOURCE MANAGEMENT AND COST OPTIMIZATION

The challenge

Traditional IT management tools and processes can’t assure the performance of
increasingly complex and dynamic applications that are distributed across
private, public and multicloud environments running virtual servers and
containers.

These traditional systems and processes attempt to assure performance through
over allocation of resources. This approach won’t work for increasingly dynamic
and complex applications, nor will manually applied updates scale to systems
that have complex compliance requirements.

ITOps managers and site reliability engineers (SREs) need a top-down,
application-driven approach that continuously analyzes the resource needs of
applications. With this analysis, fully automated actions assure that
applications get what they need to perform while conforming to your company’s IT
policies.

Key use case: Resource utilization

You don’t need apply an over-provisional “security blanket” to avoid resource
problems. You don’t need to sacrifice performance to save money, either. The
performance objective is decision automation for resource management, not just
process automation.

To automate decisions with confidence, your application resource management
(ARM) platform needs a full view of your application requirements. APM insights,
available through auto-instrumentation with Instana and other supported APM
platforms, helps the ARM platform automate resource decisions informed by
large-grain measures available at the Kubernetes resources level.

The solution

Based on actual application metrics captured by APM application programming
interfaces (APIs), IBM Turbonomic Application Resource Management offers
recommended resource optimizations for performance.



At first, you may choose to manually review these recommendations to confirm
they’re correct but, over time, you’ll come to trust them and automate these
decisions.

With IBM Turbonomic, applications get the resources they need through
visibility, insights and actions at every layer of the application and
infrastructure stack without the need for human intervention.

Learn more: Talk to an expert

> “ Turbonomic’s automated actions not only improve performance, but they free
> up the team’s resources. The team now has more time to innovate rather than
> focusing on keeping the lights on.”

Gary Prindle
Senior Systems Engineer
Carhartt
Read the full client story

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04 Predictive AIOps
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04

3 min read

Predictive AIOps


AUTONOMOUS PROBLEM DETERMINATION, REMEDIATION AND AVOIDANCE

The challenge

Every business is a now a digital business, facing daily demands to evolve.
Businesses are moving into new markets, addressing new segments and utilizing
new channels while still maintaining quality and compliancy. Unfortunately, the
hybrid and multicloud environments meant to empower teams can also
unintentionally hinder them.

Complexity is driving dependency and forcing organizations to sacrifice
innovation for stability, but what if you could have both? The initial promise
of AI—detecting patterns and gaining insights from the past to improve the
future—is becoming reality.

Key use case: Incident management

Experienced ITOps managers, developers and SREs are skilled at spotting small
differences that usually lead to problem resolution. However, with cloud
adoption comes decoupled services, which adds an extra burden when debugging if
logs and configuration data aren’t consolidated and synchronized.

To further complicate incident resolution, dependency relationships between
service A and B may not be known until runtime. This situation is where AI and
machine learning can really help. Let computers sort through mountains of data
and sift out potential causes.

The solution

IBM Cloud Pak for Watson® AIOps groups related events of an incident, reducing
“alert storms” that waste operators’ time.



> “ Reduce mean time to repair (MTTR) by 50%.”1

Similarly, IBM Cloud Pak for Watson AIOPs analyzes system data to understand
what’s normal behavior, then automatically sets adaptive thresholds. This avoids
the trap of fixed thresholds leading to false alarms or brewing problems going
undetected.

Thanks to adaptive thresholds and log anomaly detection, issues that necessitate
your IT Ops team are more likely to be discovered earlier. The alert
notifications are surfaced in your ChatOps tool of choice with a hypothesized
cause and summary of potentially impacted services, helping you improve your
incident management capabilities.

IBM Cloud Pak for Watson AIOps integrates with popular incident tracking tools,
enabling your team to collaborate in a less formal ChatOps environment while not
losing the tracking ability of traditional incident resolution tools.

IBM helps you use the power of AI with an AIOps platform that can help you
automate labor-intensive processes, achieve proactive incident resolution and
embrace an integrated DevSecOps model, freeing your teams to innovate in an
open, hybrid cloud environment.

> “ We see about 100,000 events per day. It is so important in this huge ocean
> to identify exactly the drop of venom that you have to remove to save your
> life.”

Joska Lot
Global Solution Service Architect:
Monitoring and Events Management
Electrolux AB
Read the full client story

Learn more: Talk to an expert

1 The Total Economic Impact of IBM Cloud Pak For Watson AIOps With Instana (956
KB)PDF, Forrester study commissioned by IBM, July 2021.

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05 Next steps
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05

4 min read

Next steps


IBM CAN MEET YOU WHEREVER YOU ARE IN YOUR AIOPS JOURNEY. SPEND MORE TIME ON
INNOVATION AND LESS TIME ON TROUBLESHOOTING.

We get it. You’re under enormous pressure to keep applications running and
customers happy. Getting started with AIOps may seem overwhelming, but it
doesn’t have to be.

Take a few minutes to review stories from other customers across multiple
industries who are working through their digital transformations.

Carhartt

‎

Record holiday sales realized with Turbonomic


Vivy

‎

Vivy gives anywhere, anytime access to health information using Instana


T-Mobile

‎

AI-powered automation in the US’s largest 5G network



IBM and our partner ecosystem are ready to help your business transform through
an AIOps driven approach that can happen on essentially any platform or cloud.
We’ll collaborate with you step by step, and start by understanding your
specific challenges, goals and vision.

IBM was recently named an AIOps solutions leader in the Omdia Universe:
Selecting an AIOps Solution, 2021–22 report
Download the report (3.7 MB) PDF

Let’s get started. Talk to an expert today or visit our websites below to learn
more.




NEXT STEPS

IBM Observability by Instana® APM

Automate observability, take intelligent actions and optimize app performance.

Dive deeper Arrow right

IBM Turbonomic Application Resource Management

Dynamically resource apps to absorb user demands and deliver target response
times.

Explore now Arrow right

IBM Cloud Pak for Watson® AIOps

Automate labor-intensive processes and achieve proactive incident resolution.

Read more Arrow right
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