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Engineering Resilience & Automation in your observability stack

Modern observability stacks can generate thousands of alerts, but visibility without action doesn’t improve uptime. Engineering resilience means detecting issues early, prioritising what matters, automating response, and proactively testing failure scenarios before they become incidents.

 

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Critical Response & Automation

Problems

Lot’s of alerts, slow resolutions, manual responses.

Solution

Understand what’s wrong going on in your system fast and fix quickly.

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Observability

Problems

No insights into complex systems.

Solution

Understand what’s going on in your system, detect issues, and keep everything healthy.

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Chaos Engineering

Problems

Resilience uncertainty.

Solution

Breaks things on purpose to test resilience.

Our Vendors of Choice

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Together...

LogicMonitor LM Envision unifies hybrid observability with agentic AIOps to reduce noise, speed resolution, and help prevent downtime across cloud and on‑prem environments.

PagerDuty turns those signals into coordinated incident response with on call scheduling and incident management, and adds AIOps and automation to remove manual, repetitive work running diagnostic or remediation actions and triggering runbook automation when seconds matter.
Gremlin completes the loop with controlled chaos experiments and reliability testing, helping teams find and fix availability risks before users are impacted.

Together, LogicMonitor, PagerDuty and Gremlin create a repeatable resilience operating model:

Observe > Prioritise > Respond > Automate > Learn.

Customers can standardise runbooks, significantly shorten MTTR, and continuously harden critical services while improving customer experience.

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Is this Relevant to you?

Industry

Which of my customers care about Engineering Resilience & Automation in the observability stack? 

Industries where downtime is expensive, customer facing, and regulated typically include:

Nuaware_Icon_Turq_ONLYFinancial Services/FinTech
Nuaware_Icon_Turq_ONLYInsurance
Nuaware_Icon_Turq_ONLYHealthcare
Nuaware_Icon_Turq_ONLYPublic Sector
Nuaware_Icon_Turq_ONLYTelecommunications
Nuaware_Icon_Turq_ONLYEnergy
Nuaware_Icon_Turq_ONLYRetail/Ecommerce
Nuaware_Icon_Turq_ONLYTechnology/SaaS/ISVs
Nuaware_Icon_Turq_ONLYTransportation/Logistics

Roles

Who cares about Engineering Resilience & Automation in the observability stack?

Nuaware_Icon_Turq_ONLYPlatform Engineering Manager
Nuaware_Icon_Turq_ONLYKubernetes Platform Owner
Nuaware_Icon_Turq_ONLYSRE Lead
Nuaware_Icon_Turq_ONLYReliability Engineering Manager
Nuaware_Icon_Turq_ONLYDevOps Lead
Nuaware_Icon_Turq_ONLYPlatform Engineering Manager
Nuaware_Icon_Turq_ONLYIT Operations (ITOps) Manager
Nuaware_Icon_Turq_ONLYNOC Lead
Nuaware_Icon_Turq_ONLYMajor Incident Manager
Nuaware_Icon_Turq_ONLYService Delivery Manager
Nuaware_Icon_Turq_ONLYCTO/VP Engineering
Nuaware_Icon_Turq_ONLYHead of Infrastructure

 

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Key Discovery Questions 

Answering these questions helps uncover risks and align your strategy with best practices in Engineering Resilience & Automation in the observability stack. 

1

 What does your current observability stack look like today (monitoring, logs, alerts), and what’s missing for your most critical services?

2

 How much of your alert volume is actionable vs noise, and how do you currently deduplicate or prioritize incidents?

3

 What is your incident process end to end detection > triage > escalation > resolution > post incident review and where does it break down?

4

 How do you execute remediation today: manual runbooks, scripts, or automated workflows and how quickly can you take safe action during an incident?

5

 Do you proactively test resilience (e.g., game days/chaos engineering) to validate how systems behave under failure before the next release?

 

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Continue Your Journey

Reach out to our team to discuss how we can help secure your software supply chain. Alternatively, return to our Secure Code-to-Cloud page to explore more topics, problem domains, and discover how our expertise addresses them.
 

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