<img height="1" width="1" style="display:none;" alt="" src="https://px.ads.linkedin.com/collect/?pid=1110556&amp;fmt=gif">
August 10, 2021

Automated Remediation #3: How AIOps and Automic Work Together

by: Paul Weschler

As discussed in our prior Skill Builder, by integrating AIOps from Broadcom with Automic Automation, teams can establish a robust technical framework for automating remediation of issues. In the following sections, we offer more information on the key capabilities of each solution, and reveal how the two solutions work together.

AIOps

Broadcom’s AIOps platform enables highly scalable monitoring of key performance indicators (KPIs) across the diverse silos of disparate technical systems within your business. Additionally, AIOps includes algorithmic, machine-learning-based analytics capabilities. In this way, the solution enables teams to observe and analyze.

Following is an overview of some of the key capabilities AIOps delivers:

Ingestion

AIOps ingests data from available sources and stores information in a central, unified data lake. The solution can ingest metric, topology, alert, and event data.

Analytics

AIOps then applies machine learning, regression models, and proven analytic techniques to identify alarm situations. Through these capabilities, the solution can identify associations among different data sets and infrastructure elements, without relying on users to explicitly define those associations. As a result, AIOps can gather and assimilate intelligence from across technical boundaries, and provide insights that would not otherwise be available.

AIOps offers these powerful analytics features:

  • Predictive insights. AIOps collects millions of data points from diverse sources, including alerts, metrics, logs, events, and inventory, and aggregates this intelligence in a single data lake. This huge dataset can hold extensive information about device behaviors, trends, patterns, and end-to-end data flows. The solution can then apply analytics to this combined intelligence, and provide actionable insights into predicted situations and incidents. For more information, see the predictive insights documentation.
  • Root cause identification. AIOps can ingest topological data into the data lake, and then apply such additional elements as data on network devices and traffic flows. By exposing and layering elements across the IT ecosystem, AIOps increases visibility and enables enhanced, more accurate root cause identification. For more information, see the DX Operational Intelligence page

Alarms

AIOps generates alarms, which can be displayed in consoles or custom dashboards. These alarms can be used to trigger actions. Plus, through the solution’s channel integrations capability, these alarms can seamlessly trigger actions in external systems. Teams can establish integrations with a range of channels, including automation engines, ticketing systems, and email and messaging services.

Automic Automation

Automic Automation provides the mechanisms needed to act. Automic Automation provides the service orchestration and automation platform to automate workflows that can range from simple to intricate, and be employed across a complex landscape of applications, platforms, and technologies. You can use the solution to do all your automation. In addition, you can employ Automic Automation as an orchestrator to manage the configuration and operation of any other workload automation tools, such as Ansible, AutoSys, and Control-M.

Scalable, Non-Disruptive Architecture

Automic Automation is a highly scalable and extensible platform for defining and performing automated actions on technology components. The solution can be employed on components throughout the organization, and it offers a range of features that enable non-disruptive implementations. With Automic Automation, you can integrate with, and build upon, infrastructure and tools already in place. Rather than requiring the displacement of your tools and investments, it enhances existing tools like Chef, Puppet, and Ansible.

Automic Automation is built upon an object-oriented and natively clustered architecture with the capacity to scale to millions of transactions a day across tens of thousands of endpoints. The solution features separate worker and communication processes, which enables teams to seamlessly expand capacity, availability, and fault tolerance by adding more processes and servers. The solution also offers a central database that provides action persistence, logging, and audit trails for reliability and transparency.

ESD_FY21_Academy-Skill-Builder.Automated-Remedation-3.Figure_01Figure 1. Automated remediation solution architecture.

 

Employing AIOps and Automic Automation

AIOps and Automic Automation are technology-agnostic and can interact with any IT ecosystem, including mainframes, microservices, cloud services, network devices, applications, APIs, and distributed services. AIOps events trigger automation actions, which are sent to Automic Automation through AIOps channel integrations.

By linking AIOps and Automic Automation, events and alarms in AIOps can be associated with automated actions in Automic Automation (as shown in figure 2). The solutions can also provide recommended actions, along with an associated confidence level.

Figure 2. Alarms in AIOps can be associated with automated actions in Automic Automation.

Figure 2. Alarms in AIOps can be associated with automated actions in Automic Automation.

Further details on the solution architectures are in the product documentation:

In our next skill builder, we'll outline several key steps and principles in a successful automated remediation initiative.