24x7 monitoring and on-call
Engineers watching your systems and responding to alerts at any hour, with clear hand-offs between shifts.
SRE, Monitoring & 24x7 Support
Someone is watching your systems, day and night.
We monitor your production systems around the clock, respond to incidents against agreed SLA targets and work to stop the same problem happening twice. You get SLOs, runbooks and a written post-mortem for every serious incident.
The problem
Why incidents keep hurting.
01
Customers find outages first
Monitoring exists, but alerts go to an inbox nobody watches at night, so customers report problems before your team sees them.
02
Alert noise
Hundreds of alerts fire every week, most of them meaningless, so the important ones get missed.
03
Burned-out on-call
The same few engineers get woken up every night, and incidents depend on who happens to answer.
04
The same incidents, again
Issues are fixed in the moment but never followed up, so they come back a few weeks later.
What we deliver
Reliability as a daily practice.
We combine round-the-clock cover with the engineering work that makes incidents rarer and shorter.
Incident response
A defined process for every severity, from first response to resolution and customer updates.
Observability
Metrics, logs and traces set up so problems can be found quickly, using your existing tools where possible.
SLOs and error budgets
Service level objectives agreed with you, so reliability work is prioritised against real targets.
Alert tuning and runbooks
Noisy alerts removed or fixed, and a runbook for every alert that remains.
Post-mortems and fixes
A blameless written review of every serious incident, with follow-up actions tracked to completion.
How we deliver
From first review to steady reliability.
Coverage starts during transition, and reliability improves month by month.
Always included
- A named service manager and a clear escalation matrix
- A monthly service review with SLA reporting
- Runbooks and documentation that you own
- Access through your SSO with audit trails, and an NDA and DPA as standard
Typical tools
01
Weeks 1 to 2
Assess
We learn your systems and how incidents are handled today.
- Architecture, monitoring and alerting review
- Recent incidents and recurring problems examined
- Baseline for uptime, alert volume and time to restore
02
Weeks 2 to 6
Transition
We join and then take over on-call with no gaps.
- Runbooks and dashboards set up in your tools
- Shadowing, then reverse shadowing on real incidents
- Escalation matrix and channels agreed
03
Months 2 to 3
Stabilise
Noise goes down and the biggest risks are fixed.
- Noisy alerts cleaned up
- SLOs defined for critical services
- Single points of failure fixed or planned
04
Ongoing
Optimise
Each month there should be fewer and shorter incidents.
- Monthly review of incidents, SLOs and SLAs
- Post-mortem actions tracked to completion
- Common fixes automated
Where we apply it
Industries we know well.
FAQ
Questions we hear a lot.
What are your SLA targets?
Our standard targets are: P1 (production down or data at risk) 15 minutes to respond and 4 hours to resolve; P2 (major feature degraded, no workaround) 30 minutes and 8 hours; P3 (issue with a workaround) 4 hours and 3 days; P4 (questions, minor bugs and requests) 1 day and the next release. Final targets are agreed in your contract.
Do you really cover nights, weekends and holidays?
Yes. Fully managed plans include round-the-clock monitoring and on-call. Co-managed plans can cover only the hours your team does not, such as nights, weekends or public holidays.
What is the difference between fully managed, co-managed and on-demand pods for SRE?
Fully managed means we own monitoring, on-call and incident response against agreed SLAs. Co-managed means we share on-call rotations and runbooks with your engineers, who keep ownership. On-demand pods suit a defined project, such as setting up observability or SLOs, billed per sprint.
How are SLAs measured and reported?
SLAs are tracked in your ticketing system from the moment an incident is raised. We report response and resolution times, uptime and incident trends in the monthly service review.
Can you support AI and data systems too?
Yes. We monitor data pipelines, warehouses and ML models in production, including data freshness, quality, drift and model performance, alongside your applications.
Other managed services
Run the rest with us too.
Cloud Management & FinOps
Day-to-day running of AWS, Azure and GCP, with cost kept under steady watch.
Infrastructure & Platform Engineering
Infrastructure as code, Kubernetes platforms and golden paths for product teams.
DevOps & CI/CD
Pipelines that build, test, scan and deploy on every merge, with fast rollbacks.
Release Management
Release calendars, change approvals, feature flags and canary rollouts.
QA & Test Automation
Test strategy, automated regression, performance and API testing.
Digital Transformation & Modernisation
Cloud migration, monoliths to services and manual processes to digital workflows.
Application & Data Platform Support
L1 to L3 support for business apps, data pipelines and ML models.
Our services
AI strategy, GenAI and agents, data platforms, analytics, MLOps and transformation.
Talk to a founder about SRE, Monitoring.
Tell us where you are. We will come back within one business day with a point of view, not a sales deck.