SRE & Observability

Site Reliability Engineering, or SRE, applies software-engineering methods to operating production systems.
It combines reliability targets, observability, automation, incident response, capacity management and continuous improvement.
The goal is not perfect uptime at any cost. It is to achieve the level of reliability users and the business actually need while allowing engineering teams to keep delivering change.
Google Cloud describes SRE as both a mindset and a set of engineering practices for running reliable production systems.

Monitoring normally tells you whether known conditions are happening.
Observability goes further. It gives engineers enough telemetry to investigate system behaviour and answer questions they did not know in advance.
That normally combines metrics, logs and distributed traces with useful context across applications and infrastructure.
OpenTelemetry describes observability in similar terms: understanding a system from its outputs and being able to investigate both known and previously unknown problems.

An SLI is a measurement of service behaviour, such as successful requests or latency.
An SLO defines the desired target for that measurement over a period of time.
An error budget represents the amount of unreliability that the service can tolerate while still meeting the SLO.
These measures create a common language between product, development and operations teams. Google emphasizes that they are most useful when they represent user experience and have agreed consequences when reliability falls outside the target.

No.
Higher reliability normally requires additional architecture, operating effort and cost.
We set SLOs based on user expectations, business impact, dependencies and what the architecture can realistically support.
A non-critical internal tool should not automatically receive the same reliability target as a payment or customer-facing platform.
Google’s SRE guidance specifically recommends setting targets around what users need rather than pursuing maximum reliability without considering the trade-off.

We first make sure important services have clear ownership, actionable alerts and enough telemetry to diagnose failures.
We then define severity, escalation, roles, communication, runbooks and post-incident review.
After an incident, the goal is not simply to close the ticket. We identify contributing factors and turn them into engineering actions that reduce the chance or impact of recurrence.
Google recommends preparing alerting and on-call processes before incidents happen, while Microsoft similarly emphasizes clear roles, end-to-end telemetry and documented incident response plans.

Yes.
We are tool and cloud agnostic.
We can work with platforms such as Prometheus, Grafana, OpenTelemetry, Elastic, Datadog, Dynatrace, Splunk and cloud-native monitoring services where they already fit your environment.
The first question is not which observability product to buy. It is which services matter, what signals are needed and whether the telemetry helps engineers make better operational decisions.
AWS also frames observability as a people, process and technology capability that should work regardless of the specific toolset.

The services can work together, but they solve different problems.
Managed Cloud Operations focuses on ongoing operation of infrastructure: monitoring, maintenance, incidents, backups, patching and operational support.
SRE & Observability focuses on engineering reliability into services: SLOs, telemetry, incident learning, capacity, automation and reducing operational toil.
A managed operations team can run the environment, while SRE practices help make that environment and the applications on it easier and safer to operate over time.

Yes.
SRE principles do not depend on one cloud provider or runtime.
The same reliability approach can cover applications running across public cloud, private infrastructure, Kubernetes, virtual machines and hybrid environments.
A consistent telemetry layer can also reduce operational fragmentation. OpenTelemetry, for example, is specifically designed as a vendor-neutral framework for generating and exporting metrics, logs and traces.
This area is also supported by your existing delivery experience: the published Amway engagement involved leading an L2/L3 SRE team across the USA, Brazil, EU and India and designing incident escalation, shift handover and knowledge-sharing processes across more than 12 hours of time-zone difference.