One of the key performance indicators for IT Ops is MTTR (Mean-Time-To-Resolution). MTTR essentially measures the length of your incident management lifecycle: from detection; through assignment, triage and investigation; to remediation and resolution. IT Ops teams strive to shorten their incident management lifecycle and lower their MTTR, to meet their SLAs and maintain healthy infrastructures and services. But that's often easier said than done, with incident triage being a key factor in that challenge.
Why Incident Triage is Critical for Lowering MTTR
One of the main side effects of today's increasingly complex, hybrid and constantly changing IT environments is the proliferation of disparate ops teams, tools, apps and environments. This in turn leads to high volumes of IT incidents that lack full business context.
As a result, it has become increasingly difficult for first incident responders to triage incoming incidents: Without the ability to understand the incidents' severity based on their business priorities and their impact on services or customers, their routing information, and more — IT Ops teams often waste valuable time determining what to do next, and in doing so, lengthen the incident management lifecycle.
In essence, incident triage has grown to play a key role in determining MTTR in modern, hybrid environments.
Manual Incident Triage Can Be Painful
Because different applications and services have different impacts on customers, availability and revenue, when several incidents occur at the same time it is imperative for incident responders in IT Ops and NOC teams to identify the priority in which these incidents need to be dealt with, and how best to deal with each of them. For teams to be able to rapidly perform this triage, they need access to critical business context and business metrics:
■ The business severity of each incident
■ The services each of them impact
■ Whom to route them to
■ In which priority to do so
■ And other context based on the organization's relevant processes and services.
Without easy access to this information, the teams waste precious time tracking down relevant spreadsheets, runbooks, and other sources of tribal knowledge, as well as manually calculating the business metrics needed to help them understand the incidents' implications.
The more time that is spent on these manual steps, the longer the incident triage lasts.
And the longer that takes, the higher the probability that SLAs are violated, MTTR is kept high, and costs associated with high MTTR rapidly increase.
The solution? Automating incident triage.
Automating Incident Triage
Incident triage can be automated by following several key guidelines:
■ The first step is to allow relevant business context information to reside on the incident level, rather than on the alert level. This can be done by creating custom tags for incidents that can hold this information and be acted upon (filtering, sorting etc).
■ The next step is to create simple yet robust formulas that allow operators to automatically calculate the values and metrics held by these tags. For example — calculate the SLA values in an SLA tag, based on the customer and the service to which the incident is referring. By automatically calculating the values and attaching them to the incident by using tags, the need to search for this information manually within tribal knowledge sources is eliminated, as is the need to calculate the values manually when the incident happens.
■ Now — provide filtering and sorting capabilities based on these tag values, and facilitate effective visualization of these tags alongside the incidents, so teams can easily make decisions and act on the incidents based on what they are seeing.
■ Finally — allow routing automation based on the tag values, so large volumes of incidents can be dealt with by relevant teams or automated resolution processes.
The Short and Long Term Advantages of Automating Incident Triage
The first advantage of incident triage automation is self-evident in all that was just discussed, mainly a shorter incident lifecycle — leading to improved performance and availability for apps and services. It's simple — lower MTTR equals better service.
But let's not forget two additional, substantial gains.
First — improved NOC productivity. By providing the above-mentioned capabilities, a substantial part of the incident lifecycle becomes simpler, and teams can collaborate better — lowering stress and effort across the board. Over time, the collected information can also be used for ongoing improvements in tools and processes.
And second — reclaimed FTE hours, an often “hidden” cost-reducer and revenue-generator. By reclaiming thousands of operational “fire-fighting” man-hours and utilizing them to improve and develop new services, enterprises not only reduce costs but also accelerate their business.
Incident management processes are not keeping pace with the demands of modern operations teams, failing to meet the needs of SREs as well as platform and ops teams. Results from the State of DevOps Automation and AI Survey, commissioned by Transposit, point to an incident management paradox. Despite nearly 60% of ITOps and DevOps professionals reporting they have a defined incident management process that's fully documented in one place and over 70% saying they have a level of automation that meets their needs, teams are unable to quickly resolve incidents ...
Today, in the world of enterprise technology, the challenges posed by legacy Virtual Desktop Infrastructure (VDI) systems have long been a source of concern for IT departments. In many instances, this promising solution has become an organizational burden, hindering progress, depleting resources, and taking a psychological and operational toll on employees ...
Within retail organizations across the world, IT teams will be bracing themselves for a hectic holiday season ... While this is an exciting opportunity for retailers to boost sales, it also intensifies severe risk. Any application performance slipup will cause consumers to turn their back on brands, possibly forever. Online shoppers will be completely unforgiving to any retailer who doesn't deliver a seamless digital experience ...
Black Friday is a time when consumers can cash in on some of the biggest deals retailers offer all year long ... Nearly two-thirds of consumers utilize a retailer's web and mobile app for holiday shopping, raising the stakes for competitors to provide the best online experience to retain customer loyalty. Perforce's 2023 Black Friday survey sheds light on consumers' expectations this time of year and how developers can properly prepare their applications for increased online traffic ...
This holiday shopping season, the stakes for online retailers couldn't be higher ... Even an hour or two of downtime for a digital storefront during this critical period can cost millions in lost revenue and has the potential to damage brand credibility. Savvy retailers are increasingly investing in observability to help ensure a seamless, omnichannel customer experience. Just ahead of the holiday season, New Relic released its State of Observability for Retail report, which offers insight and analysis on the adoption and business value of observability for the global retail/consumer industry ...
As organizations struggle to find and retain the talent they need to manage complex cloud implementations, many are leaning toward hybrid cloud as a solution ... While it's true that using the cloud is not a "one size fits all" proposition, it is clear that both large and small companies prefer a hybrid cloud model ...
In the same way a city is a sum of its districts and neighborhoods, complex IT systems are made of many components that continually interact. Observability requires a comprehensive and connected view of all aspects of the system, including even some that don't directly relate to its technological innards ...
Multicasting in this context refers to the process of directing data streams to two or more destinations. This might look like sending the same telemetry data to both an on-premises storage system and a cloud-based observability platform concurrently. The two principal benefits of this strategy are cost savings and service redundancy ...
In today's rapidly evolving business environment, Chief Information Officers (CIOs) and Chief Technology Officers (CTOs) are grappling with the challenge of regaining control over their IT roadmap. The constant evolution and introduction of new technology releases, combined with the pressure to deliver innovation on shrinking budgets, has added layers of complexity for executives who must transform the perception of the role of the IT leader from cost managers and maintainers to strategic enablers of growth and profitability ...
Artificial intelligence (AI) has saturated the conversation around technology as compelling new tools like ChatGPT produce headlines every day. Enterprise leaders have correctly identified the potential of AI — and its many tributary technologies — to generate new efficiencies at scale, particularly in the cloud era. But as we now know, these technologies are rarely plug-and-play, for reasons both technical and human ...