.
Never miss an incident with an application-centric AIOps platform
December 17, 2021 | Written by: Mukesh Sethi
Categorized: . | Watson IoT
Share this post:
Applications are bound to face occasional outages and performance issues, making the job of IT Ops all the more critical. Here is where AIOps simplifies the resolution of issues, even proactively, before it leads to a loss in revenue or customers.
Previously, we looked at the general landscape of AIOps and saw how you as a client can benefit from the capabilities of Instana and Turbonomic. Now, let’s explore how IBM Cloud Pak for Watson AIOps allows you to access all the capabilities we discussed so far – in one platform.
Powering your critical applications with Watson AIOps
With an application-centric IT approach at its core, IBM Cloud Pak for Watson AIOps, a part of the Cloud automation portfolio, includes capabilities like incident management, automation, application performance monitoring and observability, and application resource management. Gartner recently recognized IBM Cloud Pak for Watson AIOps as a representative vendor in the domain-agnostic AIOps platform space.
Watch how automation and AI can give you deep visibility into applications and infrastructure and enable your IT staff to find and fix problems automatically.
Putting Watson AIOps to use
To resolve incidents in a timely manner, your team needs to quickly detect incidents that can be mind-numbing, considering the volume of data that applications generate. Let’s look at a few areas where Watson AIOps can make a difference for your IT Ops, DevOps, and SRE teams.
Reaching faster mean time to resolution (MTTR)
Reduce noise:For SREs trying to identify the reason behind a lagging website, Watson AIOps can help wade through the “noise”. Using automatic parsing and pattern matching methods, you can overcome the limitations of manual threshold settings and rule-based alerts, detecting anomalies early and quickly zeroing in on alerts enriched with insights from machine learning models. Additionally, Watson AIOps helps correlate data across applications and hybrid clouds to give you full-stack observability and groups events for better resolution.
Proactive incident resolution: Watson AIOps recommends solutions for common issues using existing run books as well as learnings from past incidents. In the case of code and configuration changes which are the root of many IT performance issues, Watson AIOps helps DevOps teams minimize damage by providing change risk assessments, preventing the deployment of risky updates.
Enabling tighter collaboration
Another approach to reduce incident response times is delivering insights right where your team works. For example, if your network, infrastructure, and DevOps experts are called in to fix an application outage, Watson AIOps can provide all incident-related data in one place by integrating with existing collaboration tools such as Slack. With ChatOps, your teams are quickly alerted to incidents, can dive into details of an incident, and access recommended actions – without switching between multiple screens.
Improving the credibility of automated solutions
Being domain-agnostic, Watson AIOps integrates with your existing tools and visualizes data across applications irrespective of their underlying architecture. It serves a two-fold purpose: Firstly, you gain full-stack observability even over containerized applications, improving the reliability of the AI-recommended corrective action. Secondly, the integration enables the automation of workflows and processes, reducing the need for manual intervention and errors.
Are you ready to empower your IT Ops?
From digital transformation to cloud migration and app modernization, there are many reasons why you should consider an end-to-end AIOps platform. Rather than manually sifting through metrics, topology, or telemetry, leverage machine learning, natural language processing, and other AI technologies to accurately surface events and execute the best possible action. Go beyond runbooks and empower your teams to automate resolution, whether resource action or incident management and ensure application performance for a consistent customer experience. Experience the features of IBM Cloud Pak for Watson AIOps through a self-service simulation demo.
Insurance Company Brings Predictability into Sales Processes with AI
Generally speaking, sales drives everything else in the business – so, it's a no-brainer that the ability to accurately predict sales is very important for any business. It helps companies better predict and plan for demand throughout the year and enables executives to make wiser business decisions.
Never miss an incident with an application-centric AIOps platform
Applications are bound to face occasional outages and performance issues, making the job of IT Ops all the more critical. Here is where AIOps simplifies the resolution of issues, even proactively, before it leads to a loss in revenue or customers.
How ICICI Prudential Life Insurance is Scaling Customer Care and Leveraging AI to Personalize Experiences
Organisations are constantly challenged to meet dynamic customer requirements and rethink ways to engage with them on their terms and as per their convenience. With customers at the core of decision making and business success, organisations are tuning to digital capabilities that can support new-age services. When done well, after sales service boosts the overall customer experience by providing […]