Cloud Migration, Integration & AI Operations

Support, SLAs & Service Health

Every service has an SLA, and few are 100%. Knowing the numbers, watching service health and having the right support plan decides how fast you recover.

Multicloud AI & ERP / Cloud Migration, Integration & AI Operations

Support, SLAs & Service Health: diagram comparing AWS, Azure and Google Cloud
How SLAs and health shape your design, and how AWS, Azure and Google Cloud each implement it.

Why it matters

An application built from several services inherits their combined risk. Without redundancy, three services at 99.9% each give noticeably less than 99.9% together. Knowing this shapes design and support choices.

How it works

From SLAs to design

Read the SLAs for each service and configuration. Calculate the composite SLA by multiplying the services in the request path. Add redundancy across zones or regions to close the gap, subscribe to health alerts and choose a support plan whose response times match the risk.

AWS, Azure and Google Cloud compared

AWSAzureGoogle Cloud
Service healthAWS Health DashboardAzure Service HealthPersonalized Service Health
Resource healthAWS Health eventsResource HealthService Health API
Best-practice checksTrusted AdvisorAzure AdvisorRecommender
Support plansBusiness, Enterprise On-Ramp, EnterpriseStandard, Professional Direct, UnifiedStandard, Enhanced, Premium
Automation on eventsEventBridge health eventsService Health alerts with action groupsAlerts in Cloud Monitoring

What makes each cloud different

AWS

The AWS Health Dashboard shows events affecting your accounts, with an organizational view across all accounts, and health events can trigger EventBridge automation. Trusted Advisor checks limits, cost and security.

Azure

Azure Service Health reports incidents and planned maintenance relevant to you, Resource Health shows the state of each resource and Azure Advisor gives reliability recommendations.

Google Cloud

Personalized Service Health shows incidents affecting your projects and feeds them into your tools through an API, and regional resources often carry higher SLAs than zonal ones.

Design decisions that matter

  1. 01Calculate composite SLAs

    For every critical user journey.

  2. 02Design redundancy for the gaps

    Zones first, regions where justified.

  3. 03Health alerts to on-call

    Know before customers tell you.

  4. 04Support matched to risk

    Response times for critical systems.

Common mistakes we see

  • Assuming the cloud is always up. Every service has documented downtime.
  • Learning about incidents from social media. Hours lost.
  • Basic support for critical systems. Slow help when it matters most.

A practical 30-day plan

  1. Week 1

    Map services in critical request paths.

  2. Week 2

    Calculate composite SLAs and find gaps.

  3. Week 3

    Subscribe to health alerts and route to on-call.

  4. Week 4

    Review support plans against business risk.

How NTS helps

NTS reviews availability across AWS, Azure and Google Cloud, covering composite SLA analysis, redundancy design, health-event automation and support plan advice matched to business risk.

What you get

  • Composite SLA analysis for critical user journeys
  • Redundancy designs to close availability gaps
  • Health alerts routed to on-call
  • Support plan recommendations

Typical outcomes

  • Higher real-world availability
  • Incidents known before customers report them
  • Support costs aligned with business risk

How we work with you

  1. 1Assess

    A focused review of your availability and support planning across AWS, Azure and Google Cloud. We look for the gaps we find most often: assuming the cloud is always up, learning about incidents from social media and basic support for critical systems.

  2. 2Design

    A target architecture and roadmap built on the decisions that matter most: calculate composite SLAs, design redundancy for the gaps, health alerts to on-call and support matched to risk.

  3. 3Build

    Hands-on delivery alongside your team. We map services in critical request paths, calculate composite SLAs and find gaps, subscribe to health alerts and route to on-call, and finally review support plans against business risk.

  4. 4Run and improve

    We review availability, incidents and support usage every quarter.

Why teams choose NTS for availability and support planning

  • Know your real availability

    We calculate what your customers actually experience.

  • Targeted redundancy

    We invest where it closes real gaps.

  • Faster help when needed

    The right support plan for the right systems.

Book a free 30-minute review

Talk to an NTS architect about your availability and support planning on AWS, Azure and Google Cloud.