A How-To Guide for Building Observability That Drives Clear Actions
Observability turns fragmented telemetry into clarity during incidents.
Complexity is expanding. Clarity is shrinking.
When a failure or disruption occurs in a modern environment, the investigation can become the outage. A slowdown in a customer-facing application quickly turns into a cross-team scramble: IT operations are diagnosing systems, developers are digging through logs, network teams are checking latency and security is scanning for anomalies.
Meanwhile, the business just wants to know when it will be fixed. Digital-first operations and hybrid and multicloud architectures and microservices have created sprawling dependency chains. The telemetry footprint has exploded. The result is a familiar pattern: disconnected alerts, siloed data and escalating time to resolution that erodes service levels, reliability and customer experience.
Three pressures are forcing the issue today:
Outage impact is bigger than most teams expect — one in five say their most recent significant outage cost over $1 million.1
Cloud-native complexity is now mainstream — cloud-native adoption within organizations has reached an all-time high of 89%, introducing significant and widespread complexity.2
Security and compliance stakes keep rising in hybrid environments — the global average data breach cost of $4.44 million reinforces how expensive it is when visibility and control break down.3
Observability unlocks clarity
Observability helps resolve incidents faster, makes reliability more predictable and provides a clearer picture of your applications, infrastructure and security. When systems are distributed, visibility is not just a nice-to-have. Observability is the foundation for stable digital operations.
83%
of IT leaders use observability to report on business impact.4
20%
Spending on observability is increasing at a rate of 20% per year.5
68%
of IT leaders say cybersecurity teams use their observability solutions.4
What is observability?
Most teams already “monitor.” Observability is what you build when monitoring is not enough.
Observability is the discipline of correlating telemetry from multiple outputs, including metrics, logs, traces and events, for a clear view into the overall health of internal systems.
Telemetry: The data your systems emit about their behavior and performance
Metrics: Numeric measurements over time, including latency, error rate, saturation and throughput
Logs: Event records with context, including what happened and where and why it failed
Traces: End-to-end request paths across services to show where time and failures occur
Events: Changes worth recording, including deployments, configuration changes, scaling and incidents
Correlation: Connecting signals so teams can know what’s happening and why quickly
SLO/SLI: Service level objectives (SLO) and service level indicators (SLI) are reliability targets and the indicators that measure them
Common observability myths
The biggest failures in observability programs are predictable. They usually happen before any tool is deployed.
Observability fails when cross-department dynamics are not addressed: unclear ownership, mismatched priorities, different definitions of “healthy” and fragmented workflows for triage and escalation.
This is why successful observability programs start with a strong assessment that busts myths and clarifies:
- What matters most: Customer experience, revenue services, regulatory systems and internal productivity
- Where the biggest blind spots live: Critical flows with weak tracing, log gaps and missing change events
- Why alerts are noisy: Duplicate rules, unclear thresholds, missing suppression and lack of context
- How work really moves: Who owns triage, how incidents escalate and where handoffs fail
- What you already own: Tools, agents, dashboards and integrations worth keeping
This is where IT teams often uncover adjacent issues: inconsistent tagging, weak CMDB practices, poor runbooks, unclear SLOs and duplicated tooling that drives cost without improving outcomes.
Make signals actionable in real workflows
CDW takes a holistic view. People, process and technology must mature together starting with a maturity-based assessment and roadmap, continuing through design and deployment, and ultimately refining your implementation to maximize real-world outcomes.
Assess
Discover what is generating value and what is duplicative. Map the journey of how an incident is detected, triaged, resolved and reviewed. Get a maturity scoring with prioritized recommendations and a roadmap.
Tool Selection and Design
Select what fits your environment and operating model in a vendor-agnostic approach. Design your architecture and data pipeline. Solidify standards for instrumentation and naming. Design coverage across infrastructure observability and explore where automation can accelerate scale.
Deploy and Integrate
Implementation is where observability becomes operational. Deploy, configure and modernize the chosen toolset. Normalize tagging and context propagation. Integrate into workflows so insights land where teams work.
Optimize
Observability is continuous. Review alert hygiene reviews and tuning. Review SLO adoption and reliability. Refine dashboards and automations. Validate data pipelines, test use cases and compare single-platform or multi-platform approaches.
Get to ROI faster
Observability gets to ROI by changing real-world outcomes. Here’s what CDW can help you achieve with our holistic approach:
Turn telemetry into outcomes
CDW’s advisory-led approach helps deliver on your organization’s data and AI goals by aligning technology decisions with real-world business priorities.
Get started with your CDW assessment workshop:
Establish your current observability maturity.
Identify the biggest blind spots and alert noise drivers.
Align teams on shared outcomes, ownership and workflows.
Build a prioritized roadmap that maximizes existing investments.
Explore your next steps at CDW.com/observability.
Sources:
1 Uptime Institute, “Global Annual Data Center Survey 2025,” August 2025
2 CNCF, “Annual Cloud Native Survey,” January 2026
3 IBM, “Cost of a Data Breach Report 2025,” August 2025
4 Dimensional Research, “The Landscape of Observability in 2026,” November 2025
5 Gartner, “Get Your Observability Spend Under Control,” April 2025
Get Started with a CDW Assessment Workshop
Our experts will help you review your current observability, identify gaps and set priorities, align teams and offer a clear roadmap to maximum ROI.