AIOps & Observability
See how your systems behave end to end, cut alert floods down to the few that matter, and let routine problems fix themselves.
Is this for you?
You might need this if…
Your team receives so many alerts that important ones get missed or ignored.
Users report problems before your monitoring does.
Every incident starts with a long search across logs, dashboards and tools to find where the fault lies.
You have several monitoring tools, but none of them shows how a business service is actually performing.
What we deliver
What it covers
Observability platforms and monitoring
We design and implement observability across metrics, logs and traces, using platforms such as Datadog, Dynatrace, Splunk, Elastic or Grafana and open standards like OpenTelemetry. You see how each business service is performing, from user to infrastructure.
Event correlation and noise reduction
AIOps groups related alerts, removes duplicates and points to the most likely cause. Your team handles a few meaningful incidents instead of a flood of notifications.
Automated remediation
Known problems such as full disks, hung services or failed jobs are fixed automatically through approved runbooks. Issues are resolved in minutes, at any hour, with every action logged.
Performance and availability reporting
We define service-level objectives with you and report on availability and performance in business terms. Management and IT get the same, reliable picture of how services are doing.
Our approach
How we work
01
Map
We map business services, their dependencies and your current tools, alerts and incident patterns.
02
Instrument
Collection of metrics, logs and traces where it matters most, with service-level objectives for key services.
03
Correlate
Alert rules, correlation and noise reduction tuned on real data, so incidents surface with context.
04
Automate
Safe, approved runbooks automated step by step, starting with the most frequent and lowest-risk problems.
Best practices
What we bring to every engagement
Start from the business service
Monitoring is organised around services users depend on, not around individual servers.
Define service-level objectives
Clear targets for availability and response time decide what is worth alerting on.
Every alert must be actionable
If nobody needs to act on an alert, it is tuned, grouped or removed.
Use open instrumentation
OpenTelemetry keeps your telemetry portable and reduces lock-in to a single vendor.
Automate with guardrails
Automated fixes start with approval steps and full logging, and only run unattended once they have proven safe.
Control telemetry costs
Sampling, retention rules and log filtering keep data volumes, and licence bills, in check.
Outcomes
What you get
- End-to-end visibility of key business services
- Service-level objectives and dashboards people use
- Far fewer alerts, each with context and a likely cause
- Automated runbooks for recurring problems
- Faster detection and resolution of incidents
- Availability and performance reports for management
AI-powered
Unleash the power of AI
We offer the possibility of using AI throughout this work: ready-to-use AI tools, or a customised version built for your organisation that can run inside your own infrastructure. In observability, AI learns normal behaviour, detects anomalies, correlates events across tools and suggests the likely cause and the right runbook, and it can summarise an incident for the team in plain language. Which actions run automatically is always your decision.
Starter offer
Alert Noise Assessment
A fixed-scope, four-week assessment of your monitoring and alerting that shows where noise comes from, what you are missing and which fixes can be automated.
Week 1
Collect
Kick-off, inventory of monitoring tools and extraction of alert and incident data.
Week 2
Analyse
Analysis of alert volumes, duplicates, false positives and blind spots for key services.
Week 3
Prioritise
Identification of correlation, tuning and automation opportunities, worked through with your team.
Week 4
Roadmap
Findings and an observability roadmap presented to IT management.
You receive
- An analysis of alert volumes, noise sources and monitoring gaps
- A map of key business services and their dependencies
- A shortlist of problems suited to automated remediation
- A prioritised observability and AIOps roadmap
FAQ
Frequently asked questions
How long before we see fewer alerts?
Basic tuning and grouping often reduce noise within the first weeks. Full correlation and automation are usually built up over a few months as the platform learns from your data.
Do we need to replace our existing monitoring tools?
Not necessarily. AIOps can work on top of the tools you have, and we only recommend consolidating where it clearly saves effort or cost.
Is automated remediation risky?
It is introduced step by step, starting with approval before each action and full logging. Only well-understood, low-risk fixes run unattended, and you decide which ones.
Who sets up and runs the platform?
Altechy is your single point of contact. We bring observability specialists from partner firms in our network and can either hand the platform over to your team or run it as a managed service.
Related services
Managed IT Operations Application Management & Support DevOps & Platform Engineering Cloud Operations & FinOps Security Operations (SOC & MDR) AI Engineering & MLOps
Let’s make your monitoring work for you
Book a free 60-minute idea session. We explore your challenges and opportunities with you, and suggest where to start — with no obligation.