AWS DevOps Agent
AWS DevOps Agent is a software from Amazon Web Services (AWS) designed to act as an autonomous, always-on operations engineer that resolves and proactively prevents incidents across your infrastructure, applications, and deployments. It automatically learns your application resources and their relationships, including infrastructure, code repositories, deployment pipelines, observability tools, and telemetry, then uses that knowledge to correlate logs, metrics, traces, deployment data, and recent code changes. When an alert, error spike, or support ticket arises, DevOps Agent immediately begins automated investigation; it triages incidents 24/7, runs root-cause analysis, and proposes detailed mitigation plans which can be automatically routed through team workflows (e.g., via Slack, ServiceNow, PagerDuty) or directly create support cases with AWS.
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Espressive Barista
Espressive's Barista Agent Co-Pilot is an AI-powered solution designed to enhance service desk operations by integrating seamlessly with existing systems such as ServiceNow, CXone, AWS Connect, and Genesys. It offers features like New Ticket Enrichment, which uses AI to predict ticket attributes and retrieve relevant knowledge, and Barista Live Translation, enabling agents to communicate effectively across different languages. Agents can access BaristaGPT directly within tickets or chats, providing immediate assistance and automation capabilities. The platform also includes Automatic Knowledge Generation, creating new knowledge articles from resolved tickets to improve future issue resolution. By reducing mean time to resolution (MTTR), increasing first call resolution, and minimizing escalations, Barista Agent Co-Pilot enhances agent productivity and shortens the onboarding period for new agents.
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PathCanary
🛍️ In e-commerce, every minute of a broken checkout equals lost revenue. Most monitoring tools alert you after customers are already frustrated. PathCanary changes that.
It runs real browser tests 24/7 (via Playwright), flags anomalies instantly, and can even perform an Assisted Rollback — opening revert PRs/MRs on GitHub or GitLab, or toggling feature flags on LaunchDarkly, Optimizely, or ConfigCat.
The result? Hours of downtime reduced to minutes.
In one real scenario: without PathCanary, a hidden checkout bug cost ~$15,000 in three hours. With PathCanary, the platform detected the issue in minutes, auto-triggered a rollback, and restored functionality — limiting losses to just ~$580.
🔒 For compliance-driven teams: Self-Hosted Runners, HMAC-signed security, full audit logs, and zero inbound ports.
⚙️ Benefits include 92% faster incident resolution, 80% fewer customer complaints, and dramatically less on-call fatigue.
👉 Turn your production into a self-healing system.
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LaunchDarkly
LaunchDarkly feature management platform. Dynamically control the availability of application features to your users. Modern development and operations teams are using feature management to deliver faster and take on more development cycles. This best practice enables engineering teams of any size to continuously deploy code, and empowers business teams with control over features so they can manage their customers' experience. With the LaunchDarkly Feature Management Platform, leading teams are able to reduce risk and launch their ideas at inception. Speed up the pace of software delivery by separating code deployments from feature releases. Deploy when you want, release when you’re ready. Lower the cost of being wrong by using feature flags to rollout new features and services or when migrating systems. Monitor and manage your features in real-time. Test robust functionality instead of just cosmetic changes.
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