June 21, 2021 By Robert Barron 3 min read

IBM’s three synergistic solutions in the AIOps domain: IBM Observability by Instana APM, Turbonomic Application Resource Management for IBM Cloud Paks and IBM Cloud Pak® for Watson AIOps.

While this article will describe some of their capabilities in incident management and incident resolution (i.e., detecting issues as early as possible and resolving them as quickly and as efficiently as possible), it’s important to remember that each of these three has additional strengths and capabilities.

For example, Instana can perform deep dives into application performance during the development cycle, Turbonomic can deliver application-driven cloud optimization and Watson AIOps can perform risk analysis for upcoming changes.

But for the purposes of this article, we will concentrate on the incident management toolchain — an abstraction of the way incidents are handled in real time. Observability tools monitor technologies and services and collect data. The data is then analyzed using advanced machine learning (AIOps) models and an incident is created. The relevant people are notified and runbooks are executed to remediate the issue while a ticket documents the issue. Dashboards and collaboration tools are used to troubleshoot the problem until it is solved.

The toolchain described here has elements of both the AI Ladder (Collect, Organise, Analyse and Infuse) and the IBM Garage Method Incident Management Reference Architecture:

IBM Observability by Instana APM

Here, IBM’s observability solution begins with IBM Observability by Instana APM, which implements collection and monitoring of the entire observability context – from topology and tracing, through monitoring and logging. Instana excels at monitoring cloud-native environments and, together with IBM’s strong legacy of traditional monitoring solutions, can monitor any and all technology platforms.

Instana also has a strong domain-specific artificial intelligence (AI) engine that enables it to organise and analyze the information it has collected to strengthen its event management and help resolve issues faster:

Turbonomic Application Resource Management for IBM Cloud Paks

Turbonomic Application Resource Management for IBM Cloud Paks is a domain-specific AIOps solution that is dedicated to application resource management. It will modify the environment automatically to maximize the performance of the services and application while minimizing cost and resource usage. Turbonomic does not collect the data itself, but gets it from observability solutions like Instana (though Turbonomic is not limited to Instana and can gather the information it needs from many solutions). Turbonomic has a vast array of tested and proven runbooks that it uses to resolve performance issues automatically:

IBM Cloud Pak for Watson AIOps

IBM Cloud Pak for Watson AIOps is a domain-agnostic AIOps solution. Similar to Turbonomic, it does not collect the data itself; it receives it from other solutions. Watson AIOps collects both structued and unstructured data from hundreds of different monitoring and collection solutions.

Not only does Watson AIOps collect the monitoring and observability data, it also leverages past ticketing and runbook information to improve its recommendations. As described in my previous article, Watson AIOps works throughout the incident management toolchain — not just by analysing information and infusing insights into the tools, but by acting on these insights by triggering runbooks automatically or recommending manual runbooks to humans. Watson AIOps notifies the right people at the right time and, by using ChatOps, acts as a “digital SRE” working together with humans.

As an added benefit, Watson AIOps can also create predictive alerts well before any obvious signals can be seen:

Three solutions working together toward incident management

As you have seen, each of these solutions “plugs-in” to a different scope of the incident management toolchain and each gives a unique benefit. They can function independently, integrated with third-party tools and – best of all – working together.

Ready to learn more? Join my webinar on August 23rd and learn how to keep your applications under control, assure application performance and meet compliance requirements while ensuring an exceptional cost-effective customer experience.

You can learn more about modern cloud service management and operations in general and AI Operations in particular with IBM’s two field guides: CSMO and AIOps.

More from Cloud

Hybrid cloud examples, applications and use cases

7 min read - To keep pace with the dynamic environment of digitally-driven business, organizations continue to embrace hybrid cloud, which combines and unifies public cloud, private cloud and on-premises infrastructure, while providing orchestration, management and application portability across all three. According to the IBM Transformation Index: State of Cloud, a 2022 survey commissioned by IBM and conducted by an independent research firm, more than 77% of business and IT professionals say they have adopted a hybrid cloud approach. By creating an agile, flexible and…

Tokens and login sessions in IBM Cloud

9 min read - IBM Cloud authentication and authorization relies on the industry-standard protocol OAuth 2.0. You can read more about OAuth 2.0 in RFC 6749—The OAuth 2.0 Authorization Framework. Like most adopters of OAuth 2.0, IBM has also extended some of OAuth 2.0 functionality to meet the requirements of IBM Cloud and its customers. Access and refresh tokens As specified in RFC 6749, applications are getting an access token to represent the identity that has been authenticated and its permissions. Additionally, in IBM…

How to move from IBM Cloud Functions to IBM Code Engine

5 min read - When migrating off IBM Cloud Functions, IBM Cloud Code Engine is one of the possible deployment targets. Code Engine offers apps, jobs and (recently function) that you can (or need) to pick from. In this post, we provide some discussion points and share tips and tricks on how to work with Code Engine functions. IBM Cloud Code Engine is a fully managed, serverless platform to (not only) run your containerized workloads. It has evolved a lot since March 2021, when…

Sensors, signals and synergy: Enhancing Downer’s data exploration with IBM

3 min read - In the realm of urban transportation, precision is pivotal. Downer, a leading provider of integrated services in Australia and New Zealand, considers itself a guardian of the elaborate transportation matrix, and it continually seeks to enhance its operational efficiency. With over 200 trains and a multitude of sensors, Downer has accumulated a vast amount of data. While Downer regularly uncovers actionable insights from their data, their partnership with IBM® Client Engineering aimed to explore the additional potential of this vast dataset,…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters