5 Ways AIOps Helps IT Teams
February 10, 2022

Phil Tee
Moogsoft

Share this

In our digital world, it is impossible to reduce downtime and cut through alert noise without the proper tools. The pressure to avoid outages to maintain and improve customer experience has never been higher, and if you think old tools can handle the needs of today, think again.

AIOps leverages the power of artificial intelligence (AI) and machine learning (ML) to improve performance and availability.

2022 Tech Trends:
How Total Experience Will Drive Availability

Still not convinced on the value an AIOps platform offers? Consider this: one minute of downtime at Amazon costs the company roughly $220,000 in revenue. With that kind of money on the line, SRE and DevOps teams forced to manage availability by writing rules and querying logs manually are set up to fail — and failure is costly. AIOps is the necessary lift your monitoring tools need to improve performance and cut out the toil for DevOps and IT teams.

Here are five ways AIOps does exactly that:

1. Reduce noise

If your team has thousands of alerts coming in daily, there is no way to differentiate between which need immediate attention and those that can wait. Instead, when DevOps and IT teams are faced with an outage they find themselves bogged down in huges data sets as they attempt to find the incident. Legacy tools simply aren’t built for observability and the critical task of automating root cause and simply are not scalable enough for the high load of data they must process.

On the other hand , AIOps platforms thrive in this high data load environment.

AIOps (the key here: AI) solutions are built to look for anomalies and start remediating immediately, meaning DevOps and IT teams don’t have to hunt down the issue among thousands of alerts. AIOps is so powerful that it can even find the root cause before a customer even realizes the service is down!

2. Detect early

AIOps brings advanced capabilities to pinpoint which events or logs might be the issue to investigate early signs of a problem with anomaly detection.

Even better, AIOps platforms have no dependence upon rules. Instead, alerts and incidents evolve in real time, supported by deep metrication of your environment. This means that you do not have to wait for all the rules to be met, saving you costly (remember the price of downtime at Amazon) minutes as you tackle issues in the services you own.

3. Identify cause

These days, engineers regularly upgrade platforms, and systems are continuously changing. With an IT culture focused on constant change, it is difficult to know where to look first when things go wrong.

If the house is on fire, where do you point the firehose?

AIOps tells you exactly where to focus your efforts. AIOps platforms automatically add context to alerts and change records to show where issues are. These tools can easily identify patterns in data that a human would miss and help you diagnose and alert your team as it happens.

4. Automate responses

What is the quickest way to avoid alert fatigue and boost job satisfaction? AIOps.

If DevOps teams are spending all of their time manually sorting through alerts, there is little time for them to do what they enjoy: building and innovating. AIOps tools use AI and ML to automatically resolve an incident once detected or route the issue to the correct team to remedy it.

Not only do AIOps tools free up time and maintain job fulfillment for your team, but when a notification is sent to the IT team, you know that it’s mission-critical.

5. Trust one system

Calculate Your Cost of Downtime

The number of different tools DevOps teams are expected to manage is overwhelming. But, choosing the right AIOps platform can replace other tools without losing capabilities. If you want quality incident management, invest in a quality AIOps platform. With flexible integrations, adaptable APIs and collaborative, automated incident management all within the same AIOps tool, you can manage an outage from start to finish without leaving the platform.

Of course, there are many more use cases for AIOps platforms. The impact AIOps has on every aspect of a business, from customer experience to employee satisfaction and revenue, is beyond what anyone could have predicted when Gartner introduced the term five years ago. It is why AIOps is the lift that will allow organizations to keep up as the digital transformation continues and changes.

Phil Tee is CEO of Moogsoft
Share this

The Latest

June 23, 2022

Digital businesses don't invest in monitoring for monitoring's sake. They do it to make the business run better. Every dollar spent on observability — every hour your team spends using monitoring tools or responding to what they reveal — should tie back directly to business outcomes: conversions, revenues, brand equity. If they don't? You might be missing the forest for the trees ...

June 22, 2022

Every day, companies are missing customer experience (CX) "red flags" because they don't have the tools to observe CX processes or metrics. Even basic errors or defects in automated customer interactions are left undetected for days, weeks or months, leading to widespread customer dissatisfaction. In fact, poor CX and digital technology investments are costing enterprises billions of dollars in lost potential revenue ...

June 21, 2022

Organizations are moving to microservices and cloud native architectures at an increasing pace. The primary incentive for these transformation projects is typically to increase the agility and velocity of software release and product innovation. These dynamic systems, however, are far more complex to manage and monitor, and they generate far higher data volumes ...

June 16, 2022

Global IT teams adapted to remote work in 2021, resolving employee tickets 23% faster than the year before as overall resolution time for IT tickets went down by 7 hours, according to the Freshservice Service Management Benchmark Report from Freshworks ...

June 15, 2022

Once upon a time data lived in the data center. Now data lives everywhere. All this signals the need for a new approach to data management, a next-gen solution ...

June 14, 2022

Findings from the 2022 State of Edge Messaging Report from Ably and Coleman Parkes Research show that most organizations (65%) that have built edge messaging capabilities in house have experienced an outage or significant downtime in the last 12-18 months. Most of the current in-house real-time messaging services aren't cutting it ...

June 13, 2022
Today's users want a complete digital experience when dealing with a software product or system. They are not content with the page load speeds or features alone but want the software to perform optimally in an omnichannel environment comprising multiple platforms, browsers, devices, and networks. This calls into question the role of load testing services to check whether the given software under testing can perform optimally when subjected to peak load ...
June 09, 2022

Networks need to be up and running for businesses to continue operating and sustaining customer-facing services. Streamlining and automating network administration tasks enable routine business processes to continue without disruption, eliminating any network downtime caused by human error or other system flaws ...

June 08, 2022

Enterprises have had access to various Project and Portfolio Management (PPM) tools for quite a few years, to guide in their project selection and execution lifecycle. Yet, in spite of the digital evolution of management software, many organizations still fail to construct an effective PPM plan or utilize cutting-edge management tools ...

June 07, 2022

It has become increasingly difficult for DevOps and SRE teams to minimize the impact of issues and ensure high-quality end-user experiences. In this blog, I'm going to propose a new approach to support real-time use cases — edge observability — that enables you to detect issues as they occur and resolve them in minutes ...