The Forrester Wave™: Process-Centric AI for IT Operations (AIOps), Q2 2023
In this complimentary report, The Forrester Wave™: Process-Centric AI for IT Operations report, you will learn the essential criteria and uses cases for process-centric AIOps vendors and how they score.
Forrester Opportunity Snapshot: Increase Revenue with Internet Performance Monitoring
Download the study for critical insights into how disruptions impact business and how IPM can help your company increase revenue and reduce losses. Key findings include:
- In the month before the study, 37% estimated their companies lost between $100,000-$499,000, and 39% lost $500,000-$999,999 due to internet disruptions.
- Disruptions also damage companies internally by increasing employee churn (55%) and reducing workforce productivity (49%).
- Without adequate visibility, companies are experiencing 76 disruptions per month on average.
- 75% of respondents said IPM would drive a significant/large increase impact on their business.
Gartner Predicts 2023: Observing and Optimizing the Adaptive Organization
It can be challenging for IT leaders to stay on top of their day-to-day responsibilities while also staying up to date on what’s coming next. This is where Gartner predictions about the latest technology trends can help. Full of exclusive industry insight on how technologies are evolving and helping businesses, the report reveals what trends will influence IT in the coming year. You’ll find analyses and data about chaos engineering, changes in demand and cost of resources, automation and orchestration tools, and more. Use this report to influence transformation at your business, stay knowledgeable on what’s coming next, and be the subject matter expert for your IT team.
Honeycomb's O'Reilly Book Observability Engineering
As the term “observability” has emerged from the leading edge of systems engineering to the vernacular of software engineering, it has also suffered the (inevitable) fate of being conflated with adjacent concepts: specifically monitoring, visibility, and telemetry. Authors Charity Majors, Liz Fong-Jones, and George Miranda cut through the marketing hype to concretely demonstrate what observability is, how it is different, and how to practice it with both your applications and your teams.
2022 Gartner® Magic Quadrant™ for APM and Observability
Download a complimentary copy of the 2022 Gartner® Magic Quadrant™ for APM and Observability.
The Modern IT Outage: Costs, Causes and Cures
BigPanda retained Enterprise Management Associates (EMA) to conduct research into outages, and their results were eye-opening for the industry as a whole. EMA surveyed 300 global managers, directors, VPs and executives from a variety of industries to gain a more complete picture of the consequences of outages. These findings further prove the value of AIOps in the face of incidents and outages. Get your complimentary copy of the ebook courtesy of BigPanda.
2022 Gartner Critical Capabilities for APM and Observability
Download a free copy of this Gartner report.
Gartner 2022 Market Guide for AIOps Platforms
This report will be of value to Infrastructure and Operations teams evaluating how AIOps can improve monitoring, service management and automation tasks with AI-powered anomaly detection, diagnostic information, event correlation, and root cause analysis (RCA). Read this report to learn: :
- How AIOps can now deliver practical outcomes, rather than aspirational goals
- Whether to adopt domain-centric and domain-agnostic AIOps based on use case, data diversity and roadmap
- The different AIOps platform vendors and their range of capabilities
For this report, GigaOm evaluated and positioned 13 vendors within the GigaOm Radar diagram, indicating the relative strengths and focus of each. The GigaOm report is particularly valuable for providing GigaOm’s in-depth criteria required by IT Ops, DevOps and SRE teams who are seeking AIOPs for:
- Proactive self-healing
- Learning system
- Integration with the enterprise
- End-user monitoring
- Application monitoring
451 Research: The Future of IT Ops is Autonomous
Stretched thin and relying on legacy IT Ops tools, IT Ops, NOC and DevOps teams are unable to effectively support today’s highly complex, dynamic IT stack. This is causing a rising tide of outages, poor app performance and service disruptions. Download this whitepaper by noted industry analyst Nancy Gohring from 451 Research, to learn how AI and ML-driven IT Ops automation can help.