Keep control of AWS without carrying the operational load
We handle incident response, release support, infrastructure change and compliance evidence in your AWS accounts while your engineers keep approval control
Stop your AWS issues becoming customer, security or delivery problems
When your platform team is stretched, every outage, cost spike, security threat and release failure steals time from product. base2Services handles the operational AWS work while your team keeps control of changes.
Managed AWS Operations
DevOps as a Service
For teams that want to release reliably on AWS without building the whole DevOps capability in-house.
- Zero-downtime release engineering
- CI/CD pipelines and infrastructure as code
- Continuous monitoring
- Changes delivered through your pull requests
Cloud Management
For cost, reliability, monitoring, backup and 24/7 incident response on AWS.
Learn more →Platform Engineering
For scale, release engineering, architecture, governance and developer productivity.
Learn more →Compliance & Risk
For when a security questionnaire, an audit or a blocked enterprise deal is standing between you and revenue.
Learn more →We work alongside your engineers, taking on as much or as little as you need, for a predictable monthly fee.
Discuss your AWS environmentProof, not promises
From real AWS environments we manage.
Cut Sardius Media's video player load costs across live streaming on AWS.
Stabilised Boddle's EdTech platform through their busiest morning login peaks.
Scaled DingGo to 75,000+ vehicles under management across AU and NZ.
- 18+ years on AWS
- 1000+ AWS migrations
- 200+ active customers
- ISO 27001 certified
- 2028 operational events handled
- 1 min 57 secs avg response, 15-min Sev 1 SLA
- 4,864 automated deployments
Operations numbers are from August 2026, captured across every customer environment we manage.
Security and compliance built into the service Audited, certified, evidence ready
Certified & Aligned
AWS Validated & Audited
Start with the problem in front of you
Most teams begin with one focused piece of work. It shows you the risk, shows you how we work and grows into managed operations when you are ready.
Infrastructure Lens
Answers, alerts, reports and fixes, in the tools your team already uses
Infrastructure Lens is the engine our engineers and customers use to understand AWS environments and make decisions. It runs read-only in your AWS accounts alongside Datadog, New Relic or AWS-native monitoring, and connects each incident to the changes, dependencies and architecture decisions behind it.
Your team can ask it questions directly too. The Infrastructure Lens MCP answers questions about incidents, cost, compliance and recovery from Cursor or Claude Desktop, read-only.
@Infrastructure Lens show me the current split of our AWS costs and suggest any savings you can see from our usage patterns
Monthly AWS spend for the last six months, by service. Spend is up 21%, mostly EC2 in production.
| Recommendation | Est. saving / month |
|---|---|
| Rightsize 14 over-provisioned EC2 instances in production | $3,200 |
| Reserve the steady-state RDS instances | $2,100 |
| Turn dev and staging off overnight and at weekendsConfigure Start/Stop | $1,050 |
| Delete 2.1 TB of unattached EBS snapshots | $410 |
| Total | $6,760 |
ECS service checkout-api is down in production
0 of 3 tasks running since 9:38 AM. Tasks are exiting with code 137 (out of memory).
This started 4 minutes after release #482, which added image resizing to checkout. Task memory is 512 MB. The last healthy task definition is revision 56.
Recommended first steps
- Roll back checkout-api to task definition revision 56 to restore service.
- Raise task memory from 512 MB to 1 GB before redeploying release #482.
- Check the image resizing change in release #482 for unbounded memory use.
Approved. Rolling back now.
Rollback sent through your deployment pipeline. ✓ checkout-api is healthy on revision 56, with 3 of 3 tasks running.
@Infrastructure Lens how do we stop this happening again?
I reviewed 90 days of releases, metrics and the checkout-api architecture. This is the third out-of-memory failure since July, and each one followed a release that raised memory use.
checkout-api peak memory, last 90 days
Recommendations
- Add a pre-release check that blocks releases using more than 80% of task memory in staging.
- Turn on the ECS deployment circuit breaker so failed releases roll back automatically.
- Scale checkout-api on memory as well as CPU.
I have opened pull request #491 with these changes for your review.
Take AI to production on AWS
We provide the secure baseline and operations model that runs AI on AWS, and build production features when you need them, with guardrails and controls in place.
Building with AI
AI Factory
Managed AI operations on AWS, with a secure baseline and round the clock monitoring for the models and agents you run in production.
- Secure baseline in your AWS accounts
- 60+ guardrails, with a core ten aligned to the Australian Voluntary AI Safety Standard
- ISO 27001 audited operations and tooling
Generative AI
A scoped engagement to build a production generative AI feature in your AWS accounts, then hand it to your team.
- RAG, autonomous agents or a custom model
- Built in your account, not a prototype to throw away
- Your team owns it after handover
We work with you to get your AI project production ready and manage the risk to your customers and your business. And with the Infrastructure Lens MCP your assistants already understand your AWS environment, what runs, what it is for and how it recovers, read-only.
Discuss your AI projectReal Results From Real Companies
Trusted by SaaS and regulated companies on AWS worldwide
It was about expertise, not cost. We felt they could help us achieve real results.
Read case study →
They take the time to understand the business and help make decisions together.
Read case study →
base2Services have run alongside of us and sometimes even ahead to get us exactly where we want to be.
Read case study →Clear enough for leaders, practical enough for engineers
For your leaders
Visibility without the noise
- Environment health tracked
- Audit-ready evidence
- Clear visibility into AWS spend
- Predictable monthly fee, aligned to the scope you choose
- Every change gated through your approval workflow, with ISO 27001, CPS 234 and CPS 230 change control respected
- Progress you can show the board
For your engineers
Fixes in your workflow
- Pull requests ready for your team to review
- Slack or Teams discussions before change is applied
- Checks before release
- A named delivery manager and technical lead, with the same people in the work each week
- Governance handled for you, not left to your team
Ready to talk?
No pitch deck, just a conversation about your AWS environment.
Common questions from engineering-led teams
What is your incident response time?
Severity 1 incidents get a 15-minute response, 24/7, from a follow-the-sun team across Australia, Europe and the US. In August 2026 our average response time across customer environments was 1 min 57 secs. Response times are contractual, not aspirational.
Do you replace Datadog, New Relic or our existing monitoring?
No. Infrastructure Lens runs read-only in your AWS accounts and integrates with the tools you already use, including Datadog, New Relic and AWS-native monitoring. You keep your observability stack; we add the always-on analysis and the team that acts on what it finds.
Which compliance frameworks are you certified with?
base2Services is ISO 27001 certified. We provide continuous posture monitoring, fixed-price gap analysis with a remediation plan, audit-ready evidence packs and an analyst who joins your auditor calls.
What access do you need to our AWS account?
Read and write. Our engineers operate your environments under a managed service, responding to incidents and applying fixes rather than sending advice. Infrastructure Lens itself runs read-only. Every change follows your approval workflow, with ISO 27001, CPS 234 and CPS 230 change control respected. No silent changes.
How does pricing work?
A fixed monthly fee scoped to your environment, so there are no surprise invoices when things go wrong. Many teams start with a fixed-scope review or gap analysis, then move into managed coverage.