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Discovering AIOps - Part 5: More Advantages

Pete Goldin
Editor and Publisher
APMdigest

In Part 4 of this blog series, the experts show that AIOps offers some very compelling advantages. Part 5 covers additional expert picks for the advantages that can be gained from AIOps, especially from the business perspective.

Start with: Discovering AIOps - Part 1

Start with: Discovering AIOps - Part 2: Must-Have Capabilities

Start with: Discovering AIOps - Part 3: The Users

Start with: Discovering AIOps - Part 4: Advantages

Reduced Outages

"Adopting AIOps reduces outages for businesses and speeds up the ability to predict and prevent outages before they happen; as such, users should look for an AIOps provider that can improve the time it takes to remediate outages and improve overall customer experience," says Spiros Xanthos, SVP and General Manager of Observability at Splunk.

Improved Operational Resilience

"When well deployed, AIOps not only reduces the length and impact of downtime, but gives us insights on how to create better operational resilience," says Heath Newburn, Distinguished Field Engineer at PagerDuty.

Improved Customer and Employee Experience

"From a business perspective, user, customer and employee experience can be greatly improved from the proactive posture that AIOps enables," says Carlos Casanova, Principal Analyst at Forrester Research.

"Without AIOps, outages that leave a negative impact on performance and reliability may arise, potentially directly impacting revenue and tarnishing brand equity," Xanthos from Splunk comments.

By delivering better availability with shorter outages, customer experience should improve and the associated customer satisfaction (CSAT) and Net Promoter Score (NPS) can increase, adds Newburn from PagerDuty.

"While the IT shop might be winning because it is meeting its SLOs for systems downtime, the larger outcome is that this is improving customer experience, or preventing lost revenue, and that's of course a major impact for the entire organization," Asaf Yigal, CTO of Logz.io asserts.

"AIOps can correlate technical problems to business outcomes and end user experiences. That's the Holy Grail of monitoring that AIOPs achieves," says Andreas Reiss, Head of Product Management, AIOps and Observability, at Broadcom.

"C-levels are using AIOps-supported metrics to understand and manage key business performance indicators. For today's software-fueled businesses, this is just inevitably the value at a certain point," adds Yigal from Logz.io.

Increased IT Productivity

"Since AIOps helps to detect anomalous behaviors unseen by human operators, there is decreased risk to the business, which means IT teams have more bandwidth to help with initiatives that are forward looking, instead of being burdened by manual correlation and firefighting high volumes of alerts," says Michael Gerstenhaber, VP of Product Management at Datadog.

Bob Wambach, VP of Product Marketing at Dynatrace, adds, "We expect AIOps to enable IT teams to do more with their time, cutting out the manual, laborious intervention needed to keep applications secure. AIOps will free up more time for innovation and problem resolution."

Monika Bhave, Product Manager at Digitate, agrees that with AIOps, IT teams are free to work on projects that deliver new business value and ultimately help support revenue growth, such as implementing new software, migrating to the cloud, driving digital transformation efforts, and expediting onboarding/offboarding procedures.

Improved Development Process and Developer Experience

"By reducing the time spent in break/fix and chasing down problems, teams can focus on reducing development cycles and improving feature velocity, adding to the improvements described above, but also improving developer experience, and with the reduction of alert fatigue improving morale and reducing developer turnover," says Newburn of PagerDuty.

Cost Optimization

"AIOps helps organizations achieve cost savings by improving operational efficiency and increased productivity, and by reducing downtime which minimizes the associated costs of disruptions to business operations," says Gerstenhaber from Datadog.

AIOps also delivers cost optimization by enhancing resource allocation and utilization, explains Payal Kindiger, Senior Director of Product Marketing at Riverbed. By analyzing data patterns and resource demands, AIOps helps businesses avoid over-provisioning while ensuring that resources are optimally allocated, resulting in significant cost savings.

Enabling Adoption of Advanced Technologies

In addition to all the advantages outlined in Part 4 and Part 5 of this blog series, the experts say that AIOps also provides a more forward-thinking advantage: empowering organizations to more easily and effectively adopt advanced technologies, such as microservices, containers and hybrid cloud.

Until recently, IT operations teams have had few options when it comes to tackling the expanding complexity of vital technologies, says Brian Emerson, VP & GM, IT Operations Management at ServiceNow.

Modern applications are built from hundreds or thousands of interdependent microservices distributed across multiple clouds, creating incredibly complex software environments, explains Wambach from Dynatrace. This complexity makes it difficult for IT pros to understand the state of these systems, especially when something goes wrong.

Camden Swita, Senior Product Manager at New Relic says consider this: "If it's hard for humans to keep an eye on 'traditional' or simple IT infrastructures and app architectures, it's literally impossible for them to do so for newer versions. The sheer number of 'entities' prohibits human monitoring and challenges our reasoning abilities. You'd be hard-pressed to adequately monitor and triage newer infras and architectures without the assistance of AIOps."

"The dynamic nature of hybrid cloud, microservices, and container environments can lead to increased complexity and challenges in monitoring and managing them effectively," Bharani Kumar Kulasekaran, Product Manager at ManageEngine, agrees. "AIOps platforms help navigate the scale and intricacies of these architectures by providing better visibility and a more holistic view into these environments. By delivering real-time insights obtained from the infrastructure data, AIOps helps optimize resource allocation, ensure performance, and maintain availability across dynamic environments, ultimately resulting in smoother adoption and management of advanced IT infrastructures."

Ali Siddiqui, Chief Product Officer at BMC, concludes, "By adopting AIOps, organizations can confidently embrace new application architectures and navigate increasingly complex hybrid ecosystems while ensuring seamless alignment with the evolving needs of the business and customer demands."

Go to: Discovering AIOps - Part 6, covering the challenges of AIOps.

Pete Goldin is Editor and Publisher of APMdigest

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Discovering AIOps - Part 5: More Advantages

Pete Goldin
Editor and Publisher
APMdigest

In Part 4 of this blog series, the experts show that AIOps offers some very compelling advantages. Part 5 covers additional expert picks for the advantages that can be gained from AIOps, especially from the business perspective.

Start with: Discovering AIOps - Part 1

Start with: Discovering AIOps - Part 2: Must-Have Capabilities

Start with: Discovering AIOps - Part 3: The Users

Start with: Discovering AIOps - Part 4: Advantages

Reduced Outages

"Adopting AIOps reduces outages for businesses and speeds up the ability to predict and prevent outages before they happen; as such, users should look for an AIOps provider that can improve the time it takes to remediate outages and improve overall customer experience," says Spiros Xanthos, SVP and General Manager of Observability at Splunk.

Improved Operational Resilience

"When well deployed, AIOps not only reduces the length and impact of downtime, but gives us insights on how to create better operational resilience," says Heath Newburn, Distinguished Field Engineer at PagerDuty.

Improved Customer and Employee Experience

"From a business perspective, user, customer and employee experience can be greatly improved from the proactive posture that AIOps enables," says Carlos Casanova, Principal Analyst at Forrester Research.

"Without AIOps, outages that leave a negative impact on performance and reliability may arise, potentially directly impacting revenue and tarnishing brand equity," Xanthos from Splunk comments.

By delivering better availability with shorter outages, customer experience should improve and the associated customer satisfaction (CSAT) and Net Promoter Score (NPS) can increase, adds Newburn from PagerDuty.

"While the IT shop might be winning because it is meeting its SLOs for systems downtime, the larger outcome is that this is improving customer experience, or preventing lost revenue, and that's of course a major impact for the entire organization," Asaf Yigal, CTO of Logz.io asserts.

"AIOps can correlate technical problems to business outcomes and end user experiences. That's the Holy Grail of monitoring that AIOPs achieves," says Andreas Reiss, Head of Product Management, AIOps and Observability, at Broadcom.

"C-levels are using AIOps-supported metrics to understand and manage key business performance indicators. For today's software-fueled businesses, this is just inevitably the value at a certain point," adds Yigal from Logz.io.

Increased IT Productivity

"Since AIOps helps to detect anomalous behaviors unseen by human operators, there is decreased risk to the business, which means IT teams have more bandwidth to help with initiatives that are forward looking, instead of being burdened by manual correlation and firefighting high volumes of alerts," says Michael Gerstenhaber, VP of Product Management at Datadog.

Bob Wambach, VP of Product Marketing at Dynatrace, adds, "We expect AIOps to enable IT teams to do more with their time, cutting out the manual, laborious intervention needed to keep applications secure. AIOps will free up more time for innovation and problem resolution."

Monika Bhave, Product Manager at Digitate, agrees that with AIOps, IT teams are free to work on projects that deliver new business value and ultimately help support revenue growth, such as implementing new software, migrating to the cloud, driving digital transformation efforts, and expediting onboarding/offboarding procedures.

Improved Development Process and Developer Experience

"By reducing the time spent in break/fix and chasing down problems, teams can focus on reducing development cycles and improving feature velocity, adding to the improvements described above, but also improving developer experience, and with the reduction of alert fatigue improving morale and reducing developer turnover," says Newburn of PagerDuty.

Cost Optimization

"AIOps helps organizations achieve cost savings by improving operational efficiency and increased productivity, and by reducing downtime which minimizes the associated costs of disruptions to business operations," says Gerstenhaber from Datadog.

AIOps also delivers cost optimization by enhancing resource allocation and utilization, explains Payal Kindiger, Senior Director of Product Marketing at Riverbed. By analyzing data patterns and resource demands, AIOps helps businesses avoid over-provisioning while ensuring that resources are optimally allocated, resulting in significant cost savings.

Enabling Adoption of Advanced Technologies

In addition to all the advantages outlined in Part 4 and Part 5 of this blog series, the experts say that AIOps also provides a more forward-thinking advantage: empowering organizations to more easily and effectively adopt advanced technologies, such as microservices, containers and hybrid cloud.

Until recently, IT operations teams have had few options when it comes to tackling the expanding complexity of vital technologies, says Brian Emerson, VP & GM, IT Operations Management at ServiceNow.

Modern applications are built from hundreds or thousands of interdependent microservices distributed across multiple clouds, creating incredibly complex software environments, explains Wambach from Dynatrace. This complexity makes it difficult for IT pros to understand the state of these systems, especially when something goes wrong.

Camden Swita, Senior Product Manager at New Relic says consider this: "If it's hard for humans to keep an eye on 'traditional' or simple IT infrastructures and app architectures, it's literally impossible for them to do so for newer versions. The sheer number of 'entities' prohibits human monitoring and challenges our reasoning abilities. You'd be hard-pressed to adequately monitor and triage newer infras and architectures without the assistance of AIOps."

"The dynamic nature of hybrid cloud, microservices, and container environments can lead to increased complexity and challenges in monitoring and managing them effectively," Bharani Kumar Kulasekaran, Product Manager at ManageEngine, agrees. "AIOps platforms help navigate the scale and intricacies of these architectures by providing better visibility and a more holistic view into these environments. By delivering real-time insights obtained from the infrastructure data, AIOps helps optimize resource allocation, ensure performance, and maintain availability across dynamic environments, ultimately resulting in smoother adoption and management of advanced IT infrastructures."

Ali Siddiqui, Chief Product Officer at BMC, concludes, "By adopting AIOps, organizations can confidently embrace new application architectures and navigate increasingly complex hybrid ecosystems while ensuring seamless alignment with the evolving needs of the business and customer demands."

Go to: Discovering AIOps - Part 6, covering the challenges of AIOps.

Pete Goldin is Editor and Publisher of APMdigest

Hot Topics

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...