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
In its first year, the GigaOm report evaluated vendors and products in the observability space. According to the report, Splunk earned its ‘Outperformer’ ranking on the list for “massive scalability, sophisticated in-stream analytics and native OpenTelemetry support.” Read GigaOm Radar for Cloud Observability, 2021 and discover how an observability solution can help you:
- Achieve higher application uptime
- Provide better user experiences
- Empower more productive engineering teams
IT Operations, NOC, DevOps and SRE teams have always been under pressure to ensure service reliability and availability ... Then came COVID-19. A new IDG survey explores how these critical teams have been impacted as the demand for digital services skyrocket and a remote workforce model in place for the unforeseeable future. Over 100 IT Ops professionals shared their perspective on:
- Re-thinking budgets and resources
- Supporting the business through disruption
- How to maintain service reliability while running operations remotely
- The role of automation and AIOps
Monitoring tool sprawl threatens an I&O leader’s ability to successfully detect and correct issues that can prevent digital business success. And for many, AIOps is the promised land. If you have an AIOps initiative, read Gartner’s perspectives on some of the ways those projects can fail:
- IT operations teams seeking a solution to address different maturity levels, from basic event management to the ability to troubleshoot and perform root cause analysis
- Lack of a centralized dashboard for IT operations heads and business with the ability to drill down into details as and when is needed
- Use noise suppression to speed root-cause analysis
- Limited collaboration across various teams due to territorial, political or vendor preferences
In this analyst report, Nancy Gohring, Senior Analyst at 451 Research discusses the new monitoring requirements to support complex cloud-native environments and how to implement a streamlined and successful monitoring strategy to meet these new requirements.
Download this highly detailed report now to help you focus on the best AIOps choice for your IT organization, depending on your current toolset, your level of process and organizational maturity, and your goals. 17 key vendors and solutions were evaluated based on expert and end-user perspectives about dozens of key decision-making factors, including:
- Efficiency of deployment and administration
- Solution architecture, functionality and cost efficiency
- Integrations with third-party solutions
- Vendor strength in the market
Gartner’s report details methods to interpret behavior early and prevent failures in ephemeral architectures, and use observability with AI to advance innovation. Read this report to learn:
- Concrete definitions of observability, its components and uses.
- How AI helps better manage and understand immense volumes of data.
- How automation reduces the universe of potential explanations for errant system behavior and changes.
- Expert recommendations to help approach observability, and avoid risks when evaluating solutions.
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
The world of application development has undergone significant change in recent years with the move from on-premises infrastructure to public clouds, adoption of new methodologies such as DevOps, and introduction of new tools such as Kubernetes and Serverless. This Aberdeen Research Report explores the challenges developers face in creating modern applications, as well as the strategies and capabilities that leading businesses are following to meet such challenges head on by taking a new approach to Application Performance Monitoring (APM). Download the research brief to learn how leading organizations are leveraging modern APM to realize benefits such as:
- Control costs of application development
- Create better end-user experience
- Accelerate time to market of new applications
Gartner has recognized Splunk as a Visionary in the Magic Quadrant for Application Performance Monitoring (APM). We believe this first-time placement in the research reflects the market-leading APM capabilities from Splunk, the Data-to-Everything™ Platform, including Splunk® Enterprise, and Splunk® IT Service Intelligence, as well as the groundbreaking new technologies recently acquired from SignalFx and Omnition. With SignalFx Microservices APM™, Splunk takes a differentiated and better approach to APM:
- NoSample™ full-fidelity distributed tracing with unlimited cardinality exploration
- Open standards-based instrumentation, with active contributions to OpenTelemetry
- AI-driven directed troubleshooting
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.