ITOps Teams: “Automate This” to Make Sure Your Applications Don’t Cost You

4 min read

If applications aren’t running effectively, what will it cost you? Savings, customers, reputation?

Pretty much everything is run by an application today. Fully 80% of organizations estimate they have up to 1,000 applications in their portfolio. IT Operations (ITOps) teams are on the front lines of helping to maintain application performance, thereby helping the business avoid unnecessary costs.

Even a one-second delay in page load time (i.e., application latency) results in a 7% loss in conversions and a 16% decrease in customer satisfaction. So, imagine a small website that generates $100,000 a day. That business stands to lose $2.5 million annually because of a one-second delay in loading speed.

According to Information Technology Intelligence Consulting, 40% of enterprises said a single hour of downtime could cost between USD 1–5 million — exclusive of any legal fees, fines, or penalties if the downtime was caused by a bad actor or lackluster cyber security efforts. In a Gartner survey, 98% of companies stated the cost of IT downtime ranged from USD 100,000 to USD 540,000 an hour.

If applications aren’t running effectively, it will cost you. But here are three ways automation can help ITOps teams make sure critical business applications run effectively — always.

1. Find and resolve application problems as fast as they happen

Companies are dealing with a lot of new IT complexity as they modernize their approach to platforms, applications, microservices and containers. This complexity makes it harder to see and manage their application environments.

Automate this

To ensure application performance, ITOps teams should look to automate full-stack observability to get one-second traces across the application environment and use that to collect data in context. Not only can you get heartbeat data about the health of your applications, but you can also see how key interdependencies interact. For the SRE or IT operations engineer, being able to remediate incidents faster and make intelligent changes more quickly after a release can be extraordinarily impactful.

Real results

Rebendo, a developer of performance management solutions, delivers real-time visibility for clients at a one-second granularity.

“Some of our competitors,” notes Michael Kling, CEO, IBM Business Partner Rebendo AB, “offer insight only once every 60 seconds. But that’s not what our users want. When we were building Rebendo Insight, we asked our customers about that level of granularity, and they told us, ‘Why would I use a product that doesn’t see 59 seconds of a minute? That’s a worthless product for me.’”

Read more about how Rebendo delivers real-time visibility to help hunt down unidentified inefficiencies.

IBM Instana Observability: Get the context you need to fix problems faster with full-stack observability.

2. Stop over- or under-provisioning your application’s resources

Does this sound familiar: “You can flexibly control your costs and how much you’re consuming of the cloud.” That’s something businesses were pitched in the early 2000’s. And, for a while, that promise seemed true. But now, decades into the cloud journey, this promise has yet to be fully realized. A lot of organizations don’t know how much resource they need or what resources would guarantee perfect performance, so they overprovision as a sort of insurance policy or under-provision to manage costs. They’re unable to walk that fine line between optimal performance and the appropriate amount of resourcing.

Automate this

To ensure application performance, ITOps teams should look to automate actions that proactively deliver the most efficient compute, storage and network resources to their applications at every layer of the stack — and do it continuously, in real time, and without human intervention.

Real results

SulAmerica, a leading insurance company headquartered in Brazil, saw a 70% reduction in tickets, 11% improvement in node density and 24×7 performance assurance using software to continuously make resource decisions.

“Our team’s macro goal is to deliver an application- and SLO-driven hybrid cloud,” says Rafael Noval, Technology Leader of NOC & Web, SulAmérica. “Applications will run wherever it best suits the business, and they will continuously perform and delight our customers.”

Read more about how SulAmerica maintains low application response times as demand fluctuates.

IBM Turbonomic Application Resource Management: Cut cloud spend by 33%, reduce data center refresh costs by 75% and get back 30% of your engineering time with smarter resource management.  

3. Proactively prevent incidents

ITOps teams do their best to prioritize resources during IT outages and enable quick response to alerts raised across disparate systems. In the traditional incident paradigm, getting things back up and running can be an arbitrary and clunky process involving more team members than necessary. To stay ahead of customer impact and IT risks, ITOps teams know the criticality of being able to recognize potentially anomalous behavior and proactively flag it for engineers.

Automate this

To ensure application performance, ITOps teams should look to use artificial intelligence (AI) to more proactively identify potential risks or outage warning signs. By pulling out the wisdom trapped in prior resolutions to similar incidents and presenting those to engineers, you can more effectively and quickly resolve new ones.

Real results

Electrolux, one of the world’s largest appliance manufacturers, reduced its time to resolve IT issues from three weeks to one hour.

“We see about 100,000 events per day. It is so important in this huge ocean to identify exactly the drop of venom that you have to remove to save your life,” said Joska Lot, Global Solution Service Architect: Monitoring and Events Management, Electrolux AB

Read more about how Electrolux is incorporating AI to automate operations to improve overall efficiency, and even contribute to ambitious environmental sustainability goals.

IBM Cloud Pak for Watson AIOps: Achieve proactive IT operations using an AIOps platform.

In sum

Avoid the costs of not effectively running your applications — whether it’s loss of savings, customer revenue or reputation. Deep observability metrics and data analytics tied to a resource optimization tool will provide enough insights to manage and resolve IT problems as they arise, and make sure your apps remain available to clients and customers alike.

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