AIOps in 2024: Top 5 Trends & Predictions

Want to know what's happening with AIOps in 2024? Here's what you need to know in 60 seconds:

AIOps helps IT teams handle complex systems by using AI to spot and fix problems automatically. Companies lose $250,000 per hour when systems fail, and most only use 33% of their data effectively.

Here are the 5 key trends shaping AIOps in 2024:

Quick comparison of popular AIOps tools:

Bottom line: AIOps isn't optional anymore. Companies using it save $4.8M yearly and cut IT work by 50%. Want to get started? Pick one problem to solve and one tool to try.

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How Gen AI Changes AIOps

Gen AI is changing how IT teams handle their systems in 2024. Here's what's happening:

Let's look at what companies are getting from Gen AI in AIOps:

IHG Hotels hit 99.8% system uptime in 2022 with BigPanda's Gen AI tools. Here's what their VP of Global Infrastructure, Alvin Smith, says:

"We're looking for generative AI and AIOps to say, 'OK, you've had this happen in the past, and eight times out of 10, here was your root cause.' We're hoping to get to that path of recovery much faster."

At Cruise, teams cut 115 hours of weekly on-call time using Glean's AI chatbot. That's $1 million saved per year.

What's New in 2024:

1. Plain Language Alerts

Gen AI now reads complex errors and spits out simple explanations. Teams get clear problem descriptions and fix suggestions instead of confusing error codes.

2. Smart Problem Prevention

AWS EC2's deep learning spots and handles scaling needs before they become problems. This stops outages that could cost $250,000 per hour.

3. Faster Code Writing

GitHub Copilot helps teams write better monitoring code in less time. This means faster AIOps setup and easier maintenance.

The result? Gen AI makes AIOps work better by using plain language, learning from experience, and fixing issues before users notice them.

2. Managing Multiple Cloud Systems

89% of companies use multiple cloud platforms. This creates a clear problem: how do you keep track of everything?

Here's what multi-cloud management looks like in 2024:

Let's look at what's working:

1. Cost Savings That Matter

Control Plane helps companies slash cloud costs by over 70%. Here's what their customers say:

"Control Plane cuts our DevOps work in half. Our two DevOps engineers are running out of tasks. That's a problem we LOVE having."

2. Faster Resource Setup

A media streaming company picked Morpheus for their multi-cloud setup. Now their teams launch new content delivery systems in minutes, not days.

3. Smart Money Management

A SaaS company uses CloudZero to watch AWS and Azure spending. This helps them:

• Price products better
• Boost profit margins
• Track every dollar spent

Tools That Work:

3. Self-Fixing IT Systems

AI is changing how IT teams work in 2024. Instead of fixing the same problems over and over, they're letting AI handle it.

Here's what these systems can do:

The data tells the story:

• 63% of executives say they don't have enough IT staff
• IT teams will shift 30% of support desk time to development by 2024

Let me show you how this works in practice:

A major bank uses AI to monitor their transaction logs. When things start slowing down, the system:

• Spots the problem
• Finds what's causing it
• Fixes it before customers see any issues

Different companies use self-fixing systems in different ways:

Want to know what makes a good self-fixing system? Look for these features:

Want to get started?

Here's what works:

• Pick ONE system to automate
• Test AI fixes in a safe environment
• Keep track of what works
• Grow slowly

Bottom line: Let AI handle the day-to-day fixes. Your IT team can focus on the big stuff that matters.

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4. Better Data Analysis and Monitoring

AI has changed how IT teams spot and fix problems. Here's what works in 2024:

Big companies are getting big results:

The numbers speak for themselves:

"AIOps platforms can gather data from multiple sources and detect anomalies in real time, allowing you to fix issues before users notice them." - The CTO Club

What's working now:

Three Tools That Make a Difference:

1. Coralogix

It watches your logs in real-time, catches security problems, and points right to the source of issues.

2. PagerDuty

It bundles related alerts, cuts noise, and makes sure the right people get the right info.

3. Eyer.ai

It handles time series data, plays nice with Telegraf and Prometheus, and catches problems early.

Want to get started? Here's your plan:

Bottom line: Better monitoring = fewer problems + happier customers + less work.

5. All-in-One AIOps Tools

The AIOps market reached $29.97 billion in 2023. Companies are ditching multiple tools for single platforms. Here's what's working:

In 2024, all-in-one tools focus on these core features:

Let's look at three popular platforms:

1. BigPanda

Their AI spots issues and finds root causes FAST. Teams fix problems in record time.

2. Moogsoft

Reduces IT noise and plays nice with other tools. Makes team collaboration simple.

3. Splunk

Monitors all apps and cloud systems at once. Shows KPIs in real time.

Here's what matters in an all-in-one tool:

The numbers tell the story:

"AIOps platforms can gather data from multiple sources and detect anomalies in real time, allowing organizations to remediate issues before they impact users." - Dynatrace CTO

Find your match:

Bottom line: Pick ONE tool that fits your needs. That's better than juggling multiple solutions.

Business Benefits

Here's what the numbers tell us about AIOps impact on business:

Let me show you what REAL companies did with AIOps:

1. Cost Control

Providence slashed $2M in costs by using AIOps on Azure. Their system spots and fixes spending problems automatically.

2. Problem-Solving Speed

ExaVault cut their fix time by 56.6%. What used to take hours now takes minutes.

3. System Performance

Here's the money side of things:

Check out what Electrolux did:

"We cut our IT fix time from three weeks to just one hour. That's over 1,000 hours saved each year through automation." - Electrolux IT Team

The impact hits both now AND later:

Want to know what you'll get back?

Here's the deal: AIOps pays for itself. You save money, your team works faster, and your systems run better. That's it.

Getting Started with AIOps

Here's what you need to start with AIOps:

Want to know the secret to AIOps success? Start small.

Pick ONE problem to solve:

Here's where you can learn AIOps:

These are the skills you'll need:

"Start small. Choose a low-scale test case, learn, adapt, tweak, and grow from there." - Annette Sheppard, Senior Product Marketing Manager at New Relic

When picking tools, look for:

What you'll pay:

"Clearly define the problem you want AIOps to solve." - Wilson Pang, Chief Technology Officer at Appen

Here's a fact: Companies pay 47% more for IT pros with AI skills. And 92% of them want these skills NOW. Time to jump in?

Next Steps

The AIOps market is exploding. By 2024, 50% of companies will use AI for their core IT operations. Here's what's happening:

Want a 47% salary bump? That's what companies pay extra for IT pros with AI skills. Here's your game plan:

"IT leaders are excited about AI in IT operations. But like moving a large object, you need to overcome inertia to build speed." - Padraig Byrne, Senior Director Analyst at Gartner

These skills will put you ahead:

The proof is in the numbers: 96% of IT teams boost their productivity with AI. 98% use it to extract insights from IT dashboards.

Time to make your move.

Related posts

• Scaling IT Operations with AIOps
• How AIOps solves the challenge of increasing monitoring need
• Taking automated actions with AIOps
• 2. The Future of Cloud Management: AI-Driven Automation for Azure Monitoring