Monitoring Gap Analysis & Observability Strategy
We review what you can and cannot see today and define the signals that matter to your services and customers.
- Gap analysis
- Observability plan
Cloud, DevOps & Infrastructure
Cloud Infrastructure Monitoring Services
We instrument infrastructure and applications with metrics, logs and traces, then build dashboards, SLOs and actionable alerts so your team finds problems before customers do.
- Metrics & traces
- Live dashboards
- SLO tracking
- Actionable alerting
- Years of delivery
- 8+
- Years of delivery
- Projects shipped
- 350+
- Projects shipped
- Clients across US, UK, AU & SG
- 200+
- Clients across US, UK, AU & SG
What’s included
Everything You Need to See and Fix Problems Before Users Do
We build full-stack observability, from metrics, logs and traces to SLOs, alerts and on-call processes.
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SLI, SLO & Error Budget Definition
We turn uptime and latency expectations into measurable SLOs, giving business and engineering a shared reliability target.
- SLO catalogue
- Error budgets
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Prometheus & CloudWatch Metrics Collection
We instrument servers, containers and managed services to collect the metrics needed to spot capacity and performance issues.
- Metrics pipeline
- Exporters setup
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Centralised Log Management & Search
We gather logs into ELK, Loki or Datadog so your engineers can search and trace errors in seconds.
- Log pipeline
- Retention policy
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Distributed Tracing & Application Performance Monitoring
We add OpenTelemetry tracing to follow requests across services, revealing slow calls and failing dependencies.
- Trace instrumentation
- APM views
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Grafana Dashboards for Ops and Executives
We build clear dashboards for engineers and managers, so everyone reads service health from the same source.
- Grafana dashboards
- Executive view
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Alerting, On-Call & Incident Runbooks
We tune actionable alerts, routing and runbooks in PagerDuty or Opsgenie, cutting alert noise and speeding up response.
- Alert rules
- Incident runbooks
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Managed Monitoring, Capacity Planning & Reporting
We operate your monitoring stack, review trends monthly and flag capacity needs before they cause outages.
- Monthly SLO report
- Capacity forecast
Need something specific?
Why Kramate
Why Business Owners Choose Kramate for Watching Your Systems
We watch your systems so you hear about a problem from us, not from your customers.
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You Hear First, Not Your Customers
Instead of
learning about downtime from an angry email
With Kramate
We set alerts so the right person is told the moment something looks wrong.
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Alerts That Matter, Not Constant Noise
Instead of: so many warnings that people ignore them all
With Kramate: We tune alerts to the ones worth waking up for, so none get ignored.
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A Simple Screen Anyone Can Read
Instead of: charts only an engineer can understand
With Kramate: You get a plain view with green for fine and red for trouble, made for owners.
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Clear Steps Ready for a Bad Day
Instead of: everyone guessing when something breaks
With Kramate: We write down who does what in an emergency, so your team can act at once.
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A Warning Before You Run Short
Instead of: a crash because you outgrew your setup
With Kramate: Each month we review the trends and say when you will need more capacity.
Our approach
How We Run Your Cloud Infrastructure Monitoring
We set up the dashboards and alerts that tell you something is wrong before your customers do.
7 clear steps 7 deliverables you keep
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Blind Spot Review
We check what you can and cannot see today, and which past outages went unnoticed for too long.
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Health Targets
We agree what healthy looks like for each service, such as speed and uptime you expect.
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Set Up Monitoring
We start collecting figures and logs from your servers, databases and apps.
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Health Screens
We build clear screens for engineers and a simpler one for managers showing health at a glance.
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Alert Rules and On-Call
We create alerts that reach the right person and tune them so people are not flooded with noise.
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Response Guides
We write short step-by-step guides for common problems so anyone on call knows what to do.
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Ongoing Watch and Reports
We keep watching, report on trends and warn when systems are likely to run out of room.
Tools & technologies
Technologies We Use for Cloud Monitoring
We combine metrics, logs and traces so alerts point to causes, not just symptoms.
- Prometheus: Collects metrics to watch systems and model health.
- Grafana: Dashboards and alerts for live system metrics.
- Datadog: Monitors applications, infrastructure and logs in one place.
- Elasticsearch: Search engine for text, filters and hybrid retrieval.
- Grafana Loki: Stores and searches application logs at low cost.
- Splunk: Searches and analyses logs to find issues and threats.
- OpenTelemetry: Standard way to trace requests across services.
- Dynatrace: Automatically maps and monitors apps and their dependencies.
- New Relic: Shows how apps perform and where users hit slowdowns.
- PagerDuty: Alerts the right on-call person when something breaks.
- Jira: Tracks work, priorities and delivery progress.
- Sentry: Catches errors and slow requests as they happen.
- AWS: Amazon cloud hosting and services.
- Azure: Microsoft cloud hosting and services.
- Google Cloud: Google infrastructure for data, AI and applications.
- Kubernetes: Runs and scales containerised software automatically.
Expert guide
Cloud Infrastructure Monitoring Services: A Complete Guide for Businesses
Cloud infrastructure monitoring services give you continuous visibility into how your systems behave, so problems are found by your team before customers report them. They collect measurements from servers, containers, databases and applications, display them in dashboards, and trigger alerts when something needs a person.
Collecting data is the easy part. The skill lies in deciding what matters, setting alerts that are rare and meaningful, and keeping the system useful as your estate changes. Strong cloud infrastructure monitoring services also record what normal looks like, so slow drift is noticed.
This guide covers the three kinds of signal, service level objectives, alert design, tooling choices, AI-assisted features, regional points for the USA, UK, Australia and Singapore, cost drivers and how to choose a partner.
What cloud infrastructure monitoring services cover
An engagement usually spans infrastructure health (compute, storage, network), platform health (containers, databases, queues) and application behavior (errors, latency). It also covers the practical layer: dashboards for different audiences, alert routing, on-call rotations and runbooks.
You probably need it if:
- Customers tell you about outages before your tools do.
- Engineers cannot tell which of many alerts matter.
- Diagnosing an incident means logging into servers one by one.
- Nobody knows what normal looks like, so slowdowns go unnoticed.
Metrics, logs and traces: the three signals
Different questions need different data, and good monitoring combines all three.
- Metrics are numbers over time, such as CPU use, request rate or error count. They are cheap to store and ideal for trends and alerts.
- Logs are timestamped event records. They give detail on what happened, but are costly at volume and can contain sensitive data.
- Traces follow one request across many services, showing where time was spent. They matter most in distributed systems.
The OpenTelemetry project (opens in a new tab) provides a vendor-neutral way to produce all three signals, which keeps you from being tied to one tool. Monitoring tells you something is wrong; observability, the richer practice, lets you ask why without shipping new code.
Service level objectives and alerts worth waking up for
A service level objective (SLO) is an agreed target for user-visible behavior, for example that most requests complete quickly and succeed. The measurement behind it is a service level indicator. The gap between perfection and the target forms an error budget that guides how much risk the team can take.
The Google Site Reliability Engineering book (opens in a new tab) explains these ideas and recommends alerting on symptoms users feel, not on every internal cause.
To keep alerts trusted:
- Page a person only for problems that need immediate human action.
- Send everything else to a ticket or chat channel.
- Attach a runbook link to every alert.
- Review noisy alerts after each on-call week and delete or tune them.
Tooling choices: open source, managed and commercial
Three routes exist, and many organizations mix them. Open-source stacks built on Prometheus (opens in a new tab) and Grafana (opens in a new tab) give flexibility and low licensing cost but need people to run and scale them. Cloud-native services from each provider integrate easily with that provider’s resources. Commercial platforms bundle collection, storage and analysis, with a pricing model tied to data volume.
| Approach | Strengths | Watch out for |
|---|---|---|
| Open source | Control, portability, no per-host license | Operating, scaling and upgrading it yourself |
| Provider-native | Quick start, deep integration with that cloud | Weaker view across several clouds |
| Commercial platform | One place for all signals, less to maintain | Cost growth with data volume and some lock-in |
For container platforms, pair this with sound cluster practice; see our Kubernetes consulting services.
Where AI helps, and where it does not
Anomaly detection can spot unusual patterns that fixed thresholds miss, and AI assistants can summarize an incident timeline or group related alerts. These features shorten diagnosis.
They still need human judgment and good underlying data. If instrumentation is poor, smart analysis only produces confident noise. Fix the signals first.
Regional considerations: USA, UK, Australia and Singapore
Monitoring data often includes IP addresses, user identifiers or request details, which can count as personal data. Confirm treatment with legal counsel.
- USA: healthcare logs must not expose protected health information, and customers may require retention of audit logs for set periods.
- UK: UK GDPR applies to personal data in logs, so mask fields and set retention limits.
- Australia: the Privacy Act 1988 covers personal information in telemetry stored or processed overseas.
- Singapore: PDPA obligations apply, and financial institutions must report certain technology incidents promptly.
On-call coverage across time zones is a practical design question: agree which team answers at which hours, and hand over cleanly.
Cost factors for cloud infrastructure monitoring services
Monitoring cost grows with the volume of data you keep. The usual drivers are:
- Number of hosts, containers and services monitored.
- Log volume and how long it is retained.
- Metric cardinality, meaning how many unique label combinations you record.
- Trace sampling rate.
- Tool licensing or the effort to operate open-source stacks.
- On-call and incident-response staffing.
The reliability and operational-excellence pillars of the AWS (opens in a new tab), Azure (opens in a new tab) and Google Cloud (opens in a new tab) architecture frameworks all treat monitoring as a design requirement. Control spend by sampling traces, dropping low-value logs, setting retention tiers and reviewing what dashboards nobody opens. Start with the services whose failure hurts most.
How to choose cloud infrastructure monitoring services
- User-focused thinking. They should start from customer impact and SLOs, not tool features.
- Vendor-neutral instrumentation so you can change tools later.
- An alert-quality process, including tuning after go-live.
- Runbooks and dashboards tailored to your teams.
- Data-protection awareness about what gets logged.
- Transfer of knowledge to your on-call engineers.
How Kramate delivers monitoring
Our cloud infrastructure monitoring services come with a dedicated project manager, receive daily updates on Slack or Teams and see a demonstration of results after every two-week round. We sign an NDA before detailed discussions, and dashboards, alert rules and runbooks are your property when delivered. Kramate offers fixed-price, dedicated-team and hourly engagements, with a full working-day overlap with the UK, Australia and Singapore. See our delivery approach for the steps. Cost-focused teams can combine this with cloud cost optimization, and platform teams with DevOps consulting.
Frequently asked questions
What is the difference between monitoring and observability?
Monitoring checks known conditions and alerts when thresholds are crossed. Observability means your systems emit enough detailed data, such as metrics, logs and traces, that you can investigate new, unexpected problems without changing the code first.
What are SLOs and SLIs?
A service level indicator is a measurement of user experience, such as the share of successful requests. A service level objective is the target you set for it. Together they define when reliability is good enough and when to act.
How do we reduce alert fatigue?
Page only for urgent, user-affecting problems, route the rest to tickets, add runbooks, and review noisy alerts regularly. Remove or tune any alert that people routinely ignore, since a trusted alert is one that usually means something.
What should we monitor in the cloud?
Begin with user-facing indicators such as availability, latency and errors, then add saturation of compute, memory, storage and network, and the health of databases, queues and dependencies. Add security and cost signals as you mature.
Should we use open-source or commercial monitoring tools?
It depends on skills and scale. Open source offers control and low licensing cost but needs operating effort. Commercial platforms reduce that effort and charge by usage. Many teams mix both.
Can monitoring data contain personal information?
Yes. Logs and traces often include identifiers or request details. Mask sensitive fields, limit access, set retention periods and check obligations with legal counsel for your regions. Security-relevant logs can also feed cloud security services.
Sources and further reading
- OpenTelemetry Documentation (opens in a new tab)OpenTelemetry
- Site Reliability Engineering (opens in a new tab)Google
- Prometheus Documentation (opens in a new tab)Prometheus
- Grafana Documentation (opens in a new tab)Grafana Labs
- AWS Well-Architected Framework (opens in a new tab)Amazon Web Services
- Microsoft Azure Well-Architected Framework (opens in a new tab)Microsoft
- Google Cloud Well-Architected Framework (opens in a new tab)Google Cloud
FAQ
Frequently asked questions
Cost depends on how many services, servers and environments we monitor, the number of dashboards and alert rules, and your chosen tools. Custom metrics, log volume and on-call support add effort. Tool licence or ingestion fees are separate and vary by vendor. Send us your monitoring scope and a no-obligation estimate follows within 24 hours.
We identify critical services, define what good looks like, install agents and collect metrics, logs and traces, then build dashboards and tune alerts. Duration depends on the number of services, how clean your logging already is and how many alert rounds you need to remove noise.
You do. Before detailed monitoring talks, Kramate signs an NDA and transfers IP and deliverables to you. Dashboards, alert definitions, runbooks and monitoring configuration are stored as code in your repositories and your tool accounts, so you can change them without us.
We prefer to build on what you run, such as Datadog, Grafana, Prometheus, CloudWatch or Azure Monitor. We suggest changes only if tools leave gaps or cost too much. Alerts go to your existing paging and chat channels so your team's habits stay the same.
Monitoring tells you something is wrong, using known checks and thresholds. Observability lets you ask why, using metrics, logs and traces together to explore unknown problems. Most teams need both. We start with monitoring of key services and add traces and richer logs where debugging is slow.
Alert only on conditions that need a person to act, link each alert to a runbook, and tie alerts to user impact such as error rates and latency. Review noisy alerts regularly and remove or tune them. We set service level objectives so alerts match what customers actually feel.
Decide which services matter most, who is on call, what counts as an outage and how fast you want to know. A service inventory and recent incident history help a lot. We can help define service level objectives if you have not set them yet.
Taking new projects
Let’s talk about your Cloud Infrastructure Monitoring Services needs
Tell us about your project and get a free consultation and estimate within 24 hours.
- We reply within 4 business hours A real consultant reads your brief — no bot, no queue.
- 30-minute discovery call We dig into goals, constraints and budget. NDA signed on request.
- Proposal in 24 hours Scope, timeline, team and price — clear enough to decide on.
NDA on request You own the IP No obligation Free estimate