{"id":5206,"date":"2022-09-13T07:30:00","date_gmt":"2022-09-13T07:30:00","guid":{"rendered":"http:\/\/www.sumologic.com\/blog\/how-to-drive-better-decision-making-with-reliability-management"},"modified":"2025-05-08T19:11:17","modified_gmt":"2025-05-09T03:11:17","slug":"how-to-drive-better-decision-making-with-reliability-management","status":"publish","type":"blog","link":"https:\/\/www.sumologic.com\/blog\/how-to-drive-better-decision-making-with-reliability-management","title":{"rendered":"How to drive better decision-making with reliability management"},"content":{"rendered":"\n
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\"Better<\/figure>\n<\/div>\n\n\n

Rethinking reliability management: How aligning technology performance with business outcomes drives better decision-making<\/h2>\n\n\n\n

Almost every organization is going through digital transformation. According to IDC, direct digital transformation investment is growing globally at a compound annual growth rate of 15.5% and is expected to approach $6.8 trillion by 2023<\/a>. <\/p>\n\n\n\n

Customers quickly embrace the benefits of a customer experience reshaped by technology. However, they have little patience when that technology doesn\u2019t work as expected. A 2021 survey by digital commerce provider Avionios found that reliability is considered table stakes: for 45% of consumers, the ability for brands to deliver as expected is their top consideration when trusting a brand. <\/p>\n\n\n\n

While there are time-tested methods of monitoring legacy applications to ensure reliability, the speed and complexity of digital transformation threaten to render them obsolete. Instead, forward-looking companies are embracing a new approach to reliability that focuses on measuring business outcomes rather than system performance.<\/p>\n\n\n\n

Yes, your business is in the software business<\/h2>\n\n\n\n

Consumers are no longer satisfied with traditional products and services. From chip-embedded running shoes to refrigerators that use AI to conduct real-time content inventories, technology is disrupting virtually every aspect of the customer experience. That means that most businesses, by necessity, have become software companies, creating applications to harvest and process data from their products. <\/p>\n\n\n\n

While product data is captured locally, its destination is almost always the cloud. For example, Samsung SmartThings uses small, IoT home automation devices that monitor lighting, heating, and other home systems and upload data to centralized, cloud-based applications. With modern technologies, these cloud-based apps can be built faster and placed nearer to the consumer. <\/p>\n\n\n\n

Reliability is a competitive differentiator<\/h2>\n\n\n\n

However, as companies use technology to build new, disruptive products, there\u2019s a catch \u2014 they have to work reliably. Imagine you are an hour away from home, and your kids have locked themselves out of the house. If your home automation system alerts you, then lets you unlock the door remotely, you\u2019re probably pleased (and relieved). If the system fails to work as expected, you\u2019re an unhappy customer and may start looking for a new solution.<\/p>\n\n\n\n

Technology makes it easier for unsatisfied consumers to switch providers. For example, if your web store doesn\u2019t perform properly, it\u2019s simple for your customers to abandon their carts and shop elsewhere. For most digital businesses, reliability is critical to keeping customers and is a key competitive differentiator.<\/p>\n\n\n\n

But for businesses, the reliability challenge can be daunting \u2014 how to deliver a reliable digital experience in a complex, cloud-based environment?<\/p>\n\n\n\n

Legacy reliability monitoring can\u2019t cope with the cloud<\/h2>\n\n\n\n

Compared to cloud-based applications, legacy systems were easy to monitor for reliability. Once deployed, neither the application nor the underlying infrastructure typically changed much. This meant that tools, processes, and benchmarks for reliability were usually stable for long periods.<\/p>\n\n\n\n

With cloud applications, change is unrelenting and happens fast. Measuring and delivering reliability is a significant challenge when design teams constantly push more change into applications and digital products.<\/p>\n\n\n\n

The underlying architecture for cloud-based applications can also change at a rapid pace. With legacy applications, the average life of a server could be three years. With the cloud, a virtual machine’s average life is about 30 days, a container about 30 minutes, and a serverless function perhaps three seconds. <\/p>\n\n\n\n

The methods for monitoring and benchmarking reliability in legacy applications simply won\u2019t work for cloud systems. Businesses need a new approach.<\/p>\n\n\n\n

How monitoring business outcomes benefit developers \u2014 and CXOs<\/h2>\n\n\n\n

At Sumo Logic, we believe that a better approach involves de-emphasizing systems, infrastructure, and workload performance monitoring and instead focusing on measuring business key performance indicators (KPIs). If the business is meeting its service level objectives<\/a> (e.g., <1% login failure rate or a dropped cart rate of <50%), then the underlying technology is deemed to be operating as required.<\/p>\n\n\n\n

This approach resonates with business leaders. For many executives, the challenge is aligning technology with business performance. Focusing on KPIs helps connect application performance, technology initiatives, and measurable business outcomes. These insights help keep business leaders out of the weeds and inform their technology decisions based on business metrics.<\/p>\n\n\n\n

Focusing on business outcomes also benefits developers and technologists. Viewing the flood of performance data through \u2018a KPI lens\u2019 helps IT teams prioritize their efforts and zero in on the technology issues that are materially impacting the business and customer experience. As a result, issues can be resolved faster and with fewer IT resources.<\/p>\n\n\n\n

Transforming reliability management With Sumo Logic<\/h2>\n\n\n\n

At Sumo Logic, we\u2019ve leveraged our full stack observability technology to enable this new approach to reliability management<\/a>. We\u2019ve created the ability to create constructs for KPIs and service level indicators (SLIs) as \u2018first-class citizens\u2019 in our observability stack. When a performance threshold is breached, the Sumo Logic solution leverages its metadata and topology discovery capabilities to quickly navigate through the system from service level objective monitoring to diagnostics. This improves IT\u2019s ability to pinpoint and remediate issues within the system\u2019s many components and complex architectures. <\/p>\n\n\n\n

The benefits of the Sumo Logic approach are three-fold. First, it enables businesses to measure system reliability in the context of what truly matters \u2014 KPIs and business outcomes. Next, this \u2018business-first\u2019 approach to managing reliability reduces the need to monitor countless complex and rapidly-changing applications and systems. Finally, Sumo Logic\u2019s full stack observability capabilities allow IT to quickly work backward from a KPI performance issue and identify the root causes within an application or the infrastructure.<\/p>\n\n\n\n

Read more about Sumo Logic\u2019s reliability management, and how you can use it to deliver an ideal digital customer experience<\/a>.
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