Managed Observability Services
Full-Stack Visibility. Assessed. Architected. Operated.
Your engineering teams should focus on building and shipping, not keeping the observability platform running. Apto fills the platform management gap so your SREs and DevOps teams can focus on what matters most: system reliability.
The Problem: Who Runs Your Observability Platform?
Observability is about understanding the state of your systems: are they healthy, are they performing, and can you see what is happening when things go wrong? Every organisation with an observability platform has three roles in play. The challenge is that most only have two of them covered.
Users
Users are your SREs, DevOps engineers, and application teams. They consume dashboards, alerts, and traces to understand system behaviour. They depend on the observability platform to give them real-time insight into application and infrastructure health. But running the platform is not their job.
Builders
Builders are your platform engineers and monitoring specialists. They design dashboards, configure alerting rules, build integrations, and instrument applications. They make the observability platform useful, but they are not responsible for keeping it healthy and performant day to day.
Operators
Operators are the missing role. Someone needs to ensure the observability platform itself is reliable, performant, correctly scaled, and cost-efficient around the clock. In most organisations, this work falls on already-stretched engineering teams, or worse, nobody at all.
This is the Operator Gap
When nobody owns the observability platform, dashboards go stale, alert fatigue sets in, costs spiral, and teams lose trust in the data they depend on for operational decisions.
How Apto Solves It
Apto exists to fill the Operator gap for observability platforms. We take ownership of the platform management layer so your engineering teams can focus entirely on system reliability and application performance. We do not replace your SREs or your platform engineers. We run the observability platform underneath them.
Our approach follows a structured lifecycle that ensures every engagement starts with understanding and ends with continuous improvement:
Assess
Every engagement begins with a thorough assessment of your observability environment. We evaluate platform health, monitoring coverage across the stack, SLO and SLI maturity, alert quality, tool sprawl, and operational effectiveness. The output is a clear picture of your observability maturity and a prioritised improvement roadmap.
Build
Based on the assessment findings, we architect and implement improvements. This might mean consolidating fragmented monitoring tools, redesigning your dashboard strategy, implementing proper SLO frameworks, optimising data collection with OpenTelemetry, or restructuring alert hierarchies. Every design decision considers long-term operability.
Operate
This is where Apto’s core value lives. We take ongoing responsibility for observability platform health, performance, capacity, upgrades, and cost management. Our team monitors your observability infrastructure proactively, ensuring the tools your engineers depend on are always reliable, accurate, and cost-efficient.
The Operate + Build Virtuous Cycle
What makes the Apto model different from a one-off consulting engagement is the feedback loop between Operate and Build. When we run your observability platform day to day, we see things that project-based consultants never will: monitoring gaps exposed by real incidents, dashboards nobody uses, alerts that create noise rather than insight, and cost optimisation opportunities that only surface over time.
This means your observability capability does not just stay where it is. It gets better every month. Operations insight feeds directly into platform improvements: better instrumentation, sharper alerts, more relevant dashboards, and tighter cost control. The result is faster mean time to resolution, better SLO performance, and reduced tool sprawl.
Full-Stack Observability
True observability requires visibility across the entire technology stack, not just one layer. Apto manages the complete observability picture, ensuring every layer is instrumented, monitored, and delivering actionable insight.
Application Performance Monitoring (APM)
Deep visibility into application behaviour, transaction tracing, error tracking, and code-level diagnostics. Understand exactly where performance bottlenecks occur and how they impact end users.
Infrastructure Monitoring
Comprehensive coverage of servers, containers, Kubernetes clusters, cloud resources, and network infrastructure. Real-time metrics on CPU, memory, disk, network, and custom health indicators.
Metrics and SLOs
Structured metric collection, SLO/SLI framework management, and error budget tracking. Move from reactive firefighting to proactive reliability engineering with data-driven service level management.
Log Analytics
Centralised log collection, parsing, enrichment, and analysis. Correlate log events with metrics and traces to accelerate root cause analysis and reduce investigation time.
Distributed Tracing
End-to-end request tracing across microservices and distributed architectures. Visualise service dependencies, identify latency hotspots, and understand cross-service failure propagation.
Platform Expertise
Apto is vendor-neutral by design. We work across the major observability platforms and help clients choose, consolidate, or optimise based on their specific needs.
Read more about Splunk, Datadog and OpenTelemetry →
What Is Included in Managed Observability
Every Apto Managed Observability engagement includes a comprehensive set of platform management activities, tailored to your specific platforms and environment. 
Case Study: Observability Consolidation for a UK Technology Company
The Challenge
A UK technology company had accumulated three separate monitoring tools across their infrastructure, application, and cloud teams. Each team had their own dashboards, their own alerting rules, and their own on-call processes. Alert fatigue was rampant, with engineers receiving over 500 alerts per day. Mean time to resolution had ballooned to 4+ hours because correlating data across tools was manual and slow. Licence costs across all three platforms totalled over £280,000 per year.
The Approach
Apto conducted a full observability maturity assessment, mapping monitoring coverage across the stack, auditing alert quality, and analysing tool overlap. We identified that 60% of monitoring capability was duplicated across the three tools. The Build phase focused on consolidating onto a single full-stack platform with OpenTelemetry for vendor-neutral data collection, redesigning the dashboard and alert strategy, and implementing a proper SLO framework. Apto then transitioned into an ongoing Operate engagement.
The Outcome
Within 6 months: eliminated 2 redundant monitoring tools, reduced alert volume by 85% (from 500+ to under 80 actionable alerts per day), mean time to resolution improved from 4+ hours to under 90 minutes, and annual platform costs reduced by £115,000. Engineers reported significantly improved trust in their observability data and faster incident diagnosis.
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