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The State of Monitoring 2017: More Alerts, More Tools, More Focus on Customer Experience

Michael Butt

Applications and infrastructure are being deployed and commissioned at a faster rate than ever before, the number of tools it takes to effectively manage these services is multiplying, and the expectations placed on IT to ensure customer satisfaction is increasing, according to The State of Monitoring 2017 report from BigPanda.

The urgency to ensure reliability and uptime resonates across the board, and it's clear that IT leaders are focused on solutions that will not only work today, but can scale and adapt to tomorrow.


Below, we review some of the key takeaways from this year's report.

1. Alert noise is only getting louder

More than three quarters of the 1500+ respondents stated that reducing alert noise is a challenge, and the number of respondents reporting high alert volumes (100-500, 500-1000, or 1000+ alerts per day) has increased across the board over 2016. This group reports extremely low levels of satisfaction with their ability to respond to alerts, which is reflected in the fact that only 26% are able to remediate the majority (75-100%) within 24 hours. Furthermore, those with high volumes of alerts are more concerned about complying to customer SLAs and delivering business objectives to schedule.

2. The average monitoring stack is growing

The findings of this year's survey confirm that IT practitioners are relying on a growing number of tools to effectively do their job. According to the report, the average practitioner currently uses 6-7 tools on a regular basis, and over half of respondents reported that they plan to further expand their stack in 2017 – by approximately two tools on average. This means that we are likely to see that figure jump to 8-9 tools on average next year, and that's just per person. The total number of tools required organization-wide to effectively support agile development, uptime and reliability is no doubt much higher, particularly at the enterprise level.

3. Pressure to do more with less?

Overall, company size skewed large, with the majority of respondents hailing from organizations with 1000 or more employees. But interestingly, team size demonstrated the opposite trend, with most respondents reporting a team of less than ten. This may signal that operational independence at larger enterprises is migrating away from a centralized IT, with a larger number of smaller, fragmented teams, or that there is increasing pressure on IT to expand their capacity, without increasing headcount.

4. The frequency of both code and infrastructure change is on the rise

Across the board, the number of respondents reporting daily or weekly code deployments increased, while monthly and yearly deployments declined.

Similarly for infrastructure management, the number of respondents who reported that their organization makes just a few changes per year sharply declined, while all other response groups increased.

5. Room for improvement

Only half of respondents reported that their organization has a defined monitoring strategy in place.

Even more troubling, a meager 13% agreed that they are very satisfied with their approach to monitoring, and just 11% are satisfied based on overall investment.

6. Customer experience is king

For the second year in a row, customer satisfaction far outranked all other performance metrics included in our survey, including some that many might consider “traditional” for IT practitioners, such as MTTR and incident volume. Customer satisfaction was cited as a KPI by a whopping 73% of respondents, while the second most popular metric, SLA compliance, was cited by just 45%.

Methodology: Over 1500 IT professionals took part in this year's survey, representing a wide range of industries and featuring a mix of executives, managers, and individual contributors.

Michael Butt is Director of Product Marketing at BigPanda.

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The State of Monitoring 2017: More Alerts, More Tools, More Focus on Customer Experience

Michael Butt

Applications and infrastructure are being deployed and commissioned at a faster rate than ever before, the number of tools it takes to effectively manage these services is multiplying, and the expectations placed on IT to ensure customer satisfaction is increasing, according to The State of Monitoring 2017 report from BigPanda.

The urgency to ensure reliability and uptime resonates across the board, and it's clear that IT leaders are focused on solutions that will not only work today, but can scale and adapt to tomorrow.


Below, we review some of the key takeaways from this year's report.

1. Alert noise is only getting louder

More than three quarters of the 1500+ respondents stated that reducing alert noise is a challenge, and the number of respondents reporting high alert volumes (100-500, 500-1000, or 1000+ alerts per day) has increased across the board over 2016. This group reports extremely low levels of satisfaction with their ability to respond to alerts, which is reflected in the fact that only 26% are able to remediate the majority (75-100%) within 24 hours. Furthermore, those with high volumes of alerts are more concerned about complying to customer SLAs and delivering business objectives to schedule.

2. The average monitoring stack is growing

The findings of this year's survey confirm that IT practitioners are relying on a growing number of tools to effectively do their job. According to the report, the average practitioner currently uses 6-7 tools on a regular basis, and over half of respondents reported that they plan to further expand their stack in 2017 – by approximately two tools on average. This means that we are likely to see that figure jump to 8-9 tools on average next year, and that's just per person. The total number of tools required organization-wide to effectively support agile development, uptime and reliability is no doubt much higher, particularly at the enterprise level.

3. Pressure to do more with less?

Overall, company size skewed large, with the majority of respondents hailing from organizations with 1000 or more employees. But interestingly, team size demonstrated the opposite trend, with most respondents reporting a team of less than ten. This may signal that operational independence at larger enterprises is migrating away from a centralized IT, with a larger number of smaller, fragmented teams, or that there is increasing pressure on IT to expand their capacity, without increasing headcount.

4. The frequency of both code and infrastructure change is on the rise

Across the board, the number of respondents reporting daily or weekly code deployments increased, while monthly and yearly deployments declined.

Similarly for infrastructure management, the number of respondents who reported that their organization makes just a few changes per year sharply declined, while all other response groups increased.

5. Room for improvement

Only half of respondents reported that their organization has a defined monitoring strategy in place.

Even more troubling, a meager 13% agreed that they are very satisfied with their approach to monitoring, and just 11% are satisfied based on overall investment.

6. Customer experience is king

For the second year in a row, customer satisfaction far outranked all other performance metrics included in our survey, including some that many might consider “traditional” for IT practitioners, such as MTTR and incident volume. Customer satisfaction was cited as a KPI by a whopping 73% of respondents, while the second most popular metric, SLA compliance, was cited by just 45%.

Methodology: Over 1500 IT professionals took part in this year's survey, representing a wide range of industries and featuring a mix of executives, managers, and individual contributors.

Michael Butt is Director of Product Marketing at BigPanda.

Hot Topics

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...