Automation
Automation is a key component of AIOps as it ultimately
delivers the return on investment (ROI) for the customer. AIOps automates IT
operations and can alert operations teams of potential business outages before
they occur. IT teams can then set systems to trigger actions to correct the
problem. Running workaround scripts or integrating with other orchestration and
automation tools to perform actions minimizes manual work. digitallifehackers
Challenge:
business applications
Since hybrid IT environments are extremely dynamic and
heterogeneous with dynamic workloads that are distributed across private data
centers and public clouds, AIOps is the only solution that can get the
day-to-day IT operations under control by integrating ML and AI. For example,
managing business applications in virtualized or containerized hybrid IT
environments poses a challenge for IT operations teams: pcworldsolutions
• On which virtual units do these applications run?
•Can the application flows be tracked across a hybrid cloud
topology?
• Can you quickly determine whether the problem is with the
application or the supporting infrastructure?
These are key questions that application and business
operations personnel must answer to effectively ensure the uptime and
performance of business-critical applications and processes. To do this, these
teams must be able to rely on intelligent application discovery capabilities
that can keep pace with the very dynamic nature of hybrid IT.
Analysis of
business transactions
In order to manage the key performance indicators (KPIs) of
business transactions and to guarantee the service level agreements (SLAs) of
business processes, companies also need powerful full-stack analyzes. These
analyzes must automatically assign business transactions (e.g. orders,
invoices, etc.) to their application services (web server, application server,
databases) and the supporting infrastructure (computing power, network and
storage). businessslash
Dynamic
thresholding
A dynamic threshold is the foundation of the anomaly
detection algorithm because it helps understand patterns that are driven by
business trends. Certain business events at certain times of the day, days of
the week, or weeks of the year, such as B. vacation times, lead to certain
patterns in infrastructure utilization. Therefore, setting static thresholds to
generate alerts for infrastructure usage can lead to false positives. Dynamic
thresholding requires dynamic threshold values that are time-dependent. For
example, it might be normal for a virtual machine's processor (CPU) utilization
to reach 90 percent on a busy Monday morning, but never more than 30 percent on
a Sunday evening. inpcworld
These are just a few examples of use cases in which AIOps
can provide AI functions for the automation of operational activities by using
algorithms for ML. Without AI and ML, business innovation and digital
transformation will slow down and negatively impact business. techtargetmedia
