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The Operational Excellence pillar of the AWS Well-Architected Framework is focused on designing and operating systems to deliver business value by enabling continuous improvement of people, processes, and technology. It involves having well-defined processes, procedures, and automation to manage changes and respond to events, while regularly reviewing and refining these processes to optimize operations.
Learn about the design principles. best practices and how Lightlytics can help achieve operational excellence on AWS.
The Operational Excellence pillar is focused on designing and operating systems to deliver business value by enabling continuous improvement of people, processes, and technology. It involves having well-defined processes, procedures, and automation to manage changes and respond to events, while regularly reviewing and refining these processes to optimize operations.
The Operational Excellence pillar includes several design principles to guide organizations in achieving operational excellence.
These principles include:
The Operational Excellence pillar includes four best practice areas:





Operational Excellence is a continuous process. To establish a successful organization, establish shared goals, ensure that everyone comprehends their role in achieving business outcomes and their impact on others' ability to succeed. Support team members to help them support business outcomes.
Treat every operational event and failure as an opportunity to improve your architecture's operations. To better prepare your operations and respond more effectively when incidents occur, understand your workloads' needs, predefine runbooks for routine activities, use playbooks to guide issue resolution, leverage AWS's operations as code features, and maintain situational awareness.
By focusing on incremental improvement based on changing priorities and lessons learned from event response and retrospective analysis, increase the efficiency and effectiveness of your activities to help your business succeed.
Stream is the AI-native platform built to fight AI-enabled attacks. It autonomously prevents, detects, hunts, and remediates exposures and threats across production at machine speed - driving risk toward zero. It replaces the fragmented stack of scanners, runtime agents, exposure tools and playbooks with one live model of production.Defending Production needs a new approach: Stream is the only Autonomous Production Defense Platform that works across your entire production estate. It runs on a patented CloudTwin®, a high-fidelity security data harmonization layer that models Cloud, SaaS, identity, runtime, AI, network, perimeter, on-prem, security controls, and the behavior running on top of them into one live model of production: real-time, fully correlated, continuously updating. Not a snapshot. And it does not stop at boundaries - the boundaries that fragment every other tool are the same boundaries an attacker moves across. Inside CloudTwin they are one system.