We help engineering teams build world-class observability practices — from telemetry pipelines and distributed tracing to SRE culture and AI-powered incident response.
From initial telemetry instrumentation to enterprise-wide SRE transformation, we cover every layer of the observability maturity curve.
Assess your current maturity and define a roadmap from basic monitoring to full-stack observability.
Learn moreDesign and implement OpenTelemetry-native pipelines. Unify metrics, logs, and traces, and reduce signal noise.
Learn moreBuild internal developer platforms with baked-in observability — dashboards, alerting, and self-service toolkits.
Learn moreDefine SLOs, SLAs, and error budgets. Establish runbooks and on-call frameworks that drive improvement.
Learn moreLayer AI-powered anomaly detection and intelligent alerting on top of your existing observability stack.
Learn moreHands-on workshops and embedded engineering that leave your team fully self-sufficient in observability.
Learn moreWe exist at the intersection of distributed systems, data engineering, and developer experience — focused exclusively on observability.
We recommend the right tooling for your stack — not the tools we're incentivised to sell.
We build on open standards so you own your telemetry pipeline permanently.
Our engineers work alongside yours — transferring knowledge, not dependency.
Packages tied to measurable results — MTTR reduction, cardinality costs, coverage metrics.
A proven, phased approach that delivers quick wins while building lasting capability.
Architecture review, tooling audit, team interviews, and gap analysis across your observability surface.
A prioritised, opinionated roadmap with quick wins in 30 days and a clear 12-month maturity trajectory.
Hands-on implementation of metrics, logs, and traces using OpenTelemetry across critical service paths.
SLO definition, alert tuning, runbook creation, and on-call framework embedding with your team.
Training, documentation, and coaching to make your team fully independent and confident in practice.
Book a free 30-minute discovery call with one of our senior consultants. No commitment, no sales pitch — just honest advice.
From gap analysis to a fully costed roadmap — we help you understand where you are today and exactly what it takes to achieve full-stack observability.
You have monitoring tools. You have dashboards. But when something breaks at 2am, your team still can't find the root cause in under an hour. Observability strategy isn't about buying more tools — it's about knowing which signals matter and how to act on them.
Average mean time to resolution remains above 2 hours for most organisations without a coherent observability strategy.
Teams receive hundreds of alerts daily, most of which are noise. Engineers become desensitised and miss the critical ones.
Multiple overlapping monitoring tools with no unified view — each team using different dashboards and different definitions of "healthy".
A structured audit across your services, infrastructure, and tooling to score your current maturity across the four pillars: metrics, logs, traces, and events. Benchmarked against industry standards.
We identify the highest-impact gaps — the ones causing the most MTTR drag, the most toil, the most cost. We prioritise ruthlessly so you get wins fast.
Vendor-neutral evaluation of tooling options matched to your stack, team size, and budget. We produce a scored comparison matrix with clear recommendations.
A fully costed, phased roadmap with 30-day quick wins, 90-day milestones, and a 12-month north star. Each phase has clear success metrics and owner assignments.
A board-ready presentation summarising current state, risk exposure, proposed roadmap, and expected ROI. Perfect for securing budget and buy-in.
Book a free 30-minute discovery call. We'll give you an honest assessment of where you stand — no obligation.
Design, build, and optimise your telemetry collection infrastructure — from instrumentation at the source through to cost-efficient storage and querying.
We instrument your services correctly from the start, build routing and sampling pipelines that reduce costs, and ensure every signal reaches the right destination with context intact.
Deploy OpenTelemetry auto-instrumentation across your services with zero code changes. Immediate spans, metrics, and logs from day one.
Tail-based and head-based sampling strategies that reduce ingestion costs by 60–80% while preserving the traces that matter most.
Fan-out your telemetry to multiple backends simultaneously — Grafana, Datadog, Jaeger — with transformation and filtering at the collector level.
Automated testing and validation of your telemetry pipeline — ensuring data quality, cardinality limits, and schema consistency at every stage.
Cardinality management, data tiering, and retention policies that dramatically reduce your observability spend without losing fidelity.
Ongoing pipeline health monitoring with dashboards that track coverage gaps, data loss events, and cost-per-signal trends over time.
A typical pipeline optimisation engagement reduces observability costs by 40–70% in under 90 days.
We build the internal developer platform layer that makes observability the default — not an afterthought. Every service ships production-ready on day one.
The best observability isn't bolted on — it's built in. We embed telemetry standards, alert templates, and dashboards into your CI/CD pipelines and service templates so every new service is observable by default.
We design and build the platform layer so your engineers can focus on products, not plumbing.
Build a reliability culture that balances velocity with stability. We help define SLOs, error budgets, on-call frameworks, and post-mortem processes that actually improve over time.
SRE isn't about hiring a team with a title — it's a set of practices that connect your engineering decisions to user experience outcomes. We help you build that connection through measurement, feedback loops, and cultural change.
We work with your product and engineering teams to define meaningful SLOs tied to user journeys, then implement the measurement and alerting infrastructure.
Error budgets as a product management tool — giving your teams a shared language for risk decisions and a data-driven basis for feature vs. reliability tradeoffs.
Structured, actionable runbooks that guide any on-call engineer through any incident — not just the veteran who's seen it before.
Sustainable on-call rotations with escalation policies, toil reduction targets, and tooling that surfaces context at the right moment.
Post-mortem templates, facilitation guides, and action-item tracking that turn incidents into learning opportunities and measurable improvements.
Monthly reliability dashboards for engineering leadership — SLO burn rate, incident trends, toil percentage, and error budget status.
Our SRE engagements typically reduce on-call burden by 60% and cut incident response time in half within 6 months.
Layer AI-powered intelligence on top of your observability stack. Detect anomalies before users notice, correlate signals across services, and automate the first steps of every incident.
Traditional threshold-based alerting fires after users are already impacted. AIOps lets you detect, correlate, and act on anomalies in your telemetry data before they become incidents — and automates the tedious first steps of investigation.
ML models trained on your baseline telemetry to detect deviations before they cross a threshold. Seasonal patterns, deployment artifacts, and correlated drops are all handled automatically. Works across metrics, traces, and log volumes simultaneously.
When an incident fires, AIOps correlates signals across services, infrastructure, and recent deployments to surface the most likely root cause — cutting investigation time from hours to minutes. Engineers start with context, not a blank screen.
Cluster related alerts into single incidents rather than flooding your on-call with hundreds of notifications from a single underlying cause. Dramatically reduces alert fatigue and response confusion during major incidents.
Forecast resource saturation, latency degradation, and error rate increases days in advance using time-series forecasting on your metrics data. Prevent incidents before the conditions for them even exist.
Our AIOps integration engagements deliver measurable reductions in MTTR and on-call burden within the first 90 days.
We don't create dependency — we build capability. Hands-on workshops, bespoke training programmes, and embedded coaching that leave your team fully self-sufficient.
A full-day workshop covering the three pillars of observability — metrics, logs, traces — plus how to instrument code, read dashboards, and respond to alerts effectively. Ideal for developers new to the practice.
A two-day technical workshop covering OTel instrumentation, collector configuration, pipeline design, and backend integration. Hands-on labs using your own services and environments.
A 4-week blended learning programme covering SLOs, error budgets, on-call best practices, post-mortems, and reliability culture. Combines live sessions with self-paced modules and real incident exercises.
Simulation-based training for incident commanders and on-call leads. Tabletop exercises, live chaos engineering scenarios, and communication frameworks for high-pressure situations.
A dedicated ObservInsight engineer embedded with your team for 4–12 weeks — pairing, reviewing, and coaching in your real environment until the practice becomes second nature.
Bespoke training programmes designed around your specific stack, maturity level, team structure, and learning objectives. Delivered on-site, remote, or in a hybrid format.
Every engagement includes knowledge transfer as a first-class deliverable. We measure success by how little you need us after.
Observability at scale across hundreds of services, multiple clouds, and thousands of engineers. We help large organisations build the governance, tooling, and culture to make it work.
What works for a 10-person startup breaks at 500 engineers across 20 teams. We specialise in the organisational and technical complexity that enterprise observability demands.
Build a shared observability platform that serves dozens of product teams with isolated namespaces, per-team cost attribution, and centralised governance — without becoming a bottleneck.
Establish an internal Centre of Excellence (CoE) with standards, tooling, training curricula, and a champion network to drive adoption across the entire engineering organisation.
Migrate from fragmented, legacy monitoring tools to a unified, modern observability stack — without disrupting production operations or losing historical data.
Observability data governance for regulated industries — data residency, retention policies, access controls, and audit trails that satisfy security and compliance requirements.
We've helped organisations with 100+ microservices and global infrastructure build observability platforms that actually work for every team.
Get observability right before you scale — not after. We help fast-growing teams build the foundations that won't collapse under hypergrowth.
Every week you defer proper observability, you're accumulating technical debt that compounds under load. At Series A you can fix it in a sprint. At Series C it takes a platform engineering team and 18 months.
Everything a seed-to-Series-A team needs to ship confidently: basic instrumentation, error tracking, uptime monitoring, and a simple on-call process. Up and running in two weeks.
For Series A–C teams feeling the pain of growth: distributed tracing, SLOs, alert consolidation, and a proper incident process. We un-break what scale has broken.
Prepare your observability story for technical due diligence. We produce a clear picture of your reliability posture, incident history, and monitoring maturity for investors.
Our startup packages are fixed-price and designed to deliver real outcomes within 30 days.
High availability, regulatory compliance, and sub-millisecond latency — observability in financial services demands a higher standard. We've delivered it for banks, fintechs, and trading platforms.
Payment rails, trading engines, and banking cores operate with zero tolerance for ambiguity. We bring deep domain expertise to financial services observability — from FIX protocol tracing to PCI-DSS-compliant log management.
We understand the compliance and operational requirements of financial services inside out.
Patient safety depends on reliable systems. We help digital health platforms, hospital IT, and medical device companies build observability that meets the highest standards of availability and data governance.
Observability pipelines designed from the ground up for HIPAA and GDPR compliance — PHI scrubbing, access controls, encryption at rest and in transit, and full audit logging.
Monitoring for EHR platforms, PACS systems, lab information systems, and clinical decision support tools — with SLOs calibrated to clinical workflows and patient impact.
Telemetry pipelines for connected medical devices and IoT sensors — handling the protocol diversity, data volume, and reliability requirements of device fleets in clinical settings.
99.99% availability targets with the measurement infrastructure, alerting, and runbooks to back them up — built for the on-call clinician IT teams who are also managing patient care.
We understand that in healthcare, observability isn't optional — it's a clinical obligation.
Every second of checkout latency costs revenue. Every undetected error loses a customer. We help e-commerce platforms observe the systems that directly drive conversion and retention.
End-to-end distributed tracing across your entire checkout funnel — basket, payment gateway, inventory check, fulfilment trigger — so you know exactly where latency and errors occur in revenue-critical paths.
Observability and capacity planning for Black Friday, Cyber Monday, and campaign launches. Load testing, synthetic monitoring, and runbooks prepared before the traffic arrives.
Visibility into the payment providers, delivery APIs, review platforms, and CDNs your experience depends on — with automatic degradation detection and failover triggering.
Correlate backend traces with frontend RUM data to understand the full user experience — from a slow database query to the spinner your customer sees on their phone.
Overlay revenue per minute, basket abandonment rate, and conversion metrics alongside your technical signals — so an engineering alert also shows the pound-per-minute impact.
Observability for recommendation engines, A/B testing infrastructure, and ML-powered personalisation — ensuring your growth experiments don't silently degrade your core experience.
We help e-commerce teams see exactly what's happening at checkout — and fix it before customers notice.
Founded by engineers who spent years on the receiving end of bad observability, ObservInsight is a specialist consultancy dedicated to one thing: helping engineering teams truly understand their systems.
ObservInsight was founded after our team spent years inside engineering organisations that had great intent but terrible visibility. Dashboards that no one trusted. Alerts that fired on everything and signalled nothing. Post-mortems that repeated themselves.
We left to build the consultancy we wished we'd had access to. One that speaks engineering, not sales. One that works alongside your team rather than handing over a report and leaving. One that measures success by how little you need us afterwards.
Today we work with engineering teams across financial services, healthcare, e-commerce, and enterprise technology — delivering observability that actually works in production.
We're always looking for exceptional engineers who are passionate about observability. Or if you're a potential client, let's talk.
Our delivery model is built around knowledge transfer, measurable outcomes, and genuine partnership — not billable hours for their own sake.
We start by understanding your world — architecture reviews, tooling audits, stakeholder interviews, and team observations. We score your current maturity against the four pillars of observability and produce a Gap Analysis Report with severity ratings and quick-win opportunities identified.
We take the gap analysis and produce a fully costed, phased Observability Roadmap. This covers 30-day quick wins, 90-day milestones, and a 12-month transformation trajectory. Each workstream has a clear owner, success metric, and dependency map. We present this to your engineering leadership and iterate until it's right.
Our engineers embed with your team to implement the agreed roadmap. We instrument services, build pipelines, configure platforms, and write the code alongside your engineers — not instead of them. Every decision is explained, documented, and reviewed. We pair, we PR, and we leave a codebase your team understands.
We run parallel to the build phase — establishing the operational practices that make the technical work stick. SLO definition workshops, alert tuning sessions, runbook authoring, on-call framework design, and post-mortem facilitation training. The goal: your team can operate the new platform confidently before we leave.
We don't drop a ZIP file and disappear. We run structured knowledge transfer sessions, produce comprehensive documentation, conduct training workshops for all affected engineers, and do a live "fire drill" simulation to validate readiness. We only hand over when your team is genuinely confident.
Every engagement includes structured knowledge transfer as a first-class deliverable. We measure success partly by how capable your team is when we leave. Dependency is a failure mode, not a business model.
We don't have preferred vendor relationships that influence our recommendations. We recommend what's right for your stack, your team, and your budget — and we'll tell you when the incumbent tool is actually fine.
We don't measure success by documents produced or hours billed. We measure it by MTTR reduction, coverage improvement, cost reduction, and team confidence scores — agreed upfront and tracked transparently.
If we think your approach is wrong, we'll tell you. If the timeline is unrealistic, we'll say so. If a vendor is overselling, we'll push back. Our value is in honest, expert opinion — not in telling you what you want to hear.
Every engagement begins with a free 30-minute discovery call. No obligation, no sales pitch — just an honest conversation about your challenges.
Every case study represents a client who trusted us with a real observability challenge. These are the outcomes we delivered together.
A major UK retail bank with 40+ microservices and a fragmented monitoring estate across three cloud providers.
We consolidated three monitoring tools into a unified Grafana stack, implemented distributed tracing across all payment flows, and defined SLOs for the 12 most critical user journeys. On-call burden dropped by 60% within the first quarter.
A fast-growing D2C fashion brand whose observability costs were scaling faster than their revenue — £240k/year and climbing.
We rebuilt their telemetry pipeline using OTel Collector with intelligent tail-based sampling, migrated high-cardinality metrics to VictoriaMetrics, and implemented tiered log retention. Coverage actually improved while costs dropped by 70%.
A Series C digital health company needing to pass enterprise security review from NHS and private healthcare clients.
We designed and built a HIPAA and NHS DSP Toolkit-compliant observability stack in six weeks — including PHI scrubbing in the telemetry pipeline, role-based access to dashboards, and full audit logging for data access events.
A 200-person engineering org receiving 800+ alerts per day, with on-call engineers spending 30% of their time on false positives.
We integrated Datadog Watchdog with a custom anomaly detection layer, implemented intelligent alert grouping, and built automated root cause correlation. The on-call experience was transformed within 60 days of go-live.
A Series A payments startup preparing for due diligence who had no formal monitoring beyond basic uptime checks.
We designed and shipped a complete observability foundation — instrumentation, Grafana dashboards, alerting, and a basic on-call process — in three weeks. The client passed their Series B technical due diligence with flying colours.
A 1,200-person engineering organisation with no SRE practice, high on-call burnout, and recurring major incidents.
An 18-month embedded engagement covering SRE practice establishment, SLO rollout across 80 services, on-call framework redesign, and a company-wide observability training programme delivered to over 400 engineers.
Every project starts with an honest conversation about your specific challenges. No templates, no one-size-fits-all packages.
Whether you're starting from scratch or scaling an existing practice, we'd love to hear about your challenges and explore how we can help.
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Last updated: June 2025
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Last updated: June 2025
ObservInsight provides observability consulting, advisory, and engineering services. All engagements are governed by a separate Statement of Work (SOW) agreed in writing before any work commences.
All deliverables produced exclusively for a client engagement become the property of the client upon full payment. General methodologies, frameworks, and tools developed by ObservInsight remain our intellectual property and may be reused across engagements.
We treat all client information as strictly confidential. We will sign mutual NDAs on request prior to any discovery engagement. Information shared during a discovery call or via the contact form is treated with the same confidentiality.
ObservInsight's liability in connection with any engagement is limited to the fees paid for that engagement. We are not liable for indirect, consequential, or incidental damages arising from our services.
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