redis
List Databases
List all databases across subscriptions to retrieve current memory usage and status.
The scenario uses specific integration tools at each step, while Metorial keeps access scoped and visible.
Retrieve all databases across subscriptions with their current memory usage, status, and endpoint details.
Fetch subscription configuration to understand the memory and throughput limits for each database.
Check audit logs for recent error events, failed operations, or unusual configuration changes.
Identify databases where memory usage exceeds 80% of capacity or where status indicates a degraded state.
Review the infrastructure Slack channel to avoid sending repeated alerts for the same database.
Send a formatted Slack alert with the database name, current usage percentage, subscription details, and recommended action.
redis
List all databases across subscriptions to retrieve current memory usage and status.
redis
Retrieve subscription-level details to understand plan limits and configuration.
redis
Review recent audit logs for error events or configuration changes.
slack
Post a capacity alert to the infrastructure Slack channel.
slack
Check if an alert for this database was already posted recently.
Integration
Manage Redis Cloud database subscriptions and infrastructure programmatically. Create, update, delete, and list subscriptions across AWS, Google Cloud, and Azure. Manage databases with configurable persistence, replication, modules, and sizing. Back up databases to cloud storage and import data from S3, FTP, or other Redis instances. Control access with ACL rules and roles, manage users and cloud provider accounts, track asynchronous tasks, audit API activity via system logs, and estimate subscription costs with dry-run operations.
Integration
Slack: connect with bot OAuth or user OAuth. Send, update, delete, and schedule messages; list and cancel scheduled messages; open DMs and group DMs; manage conversations, members, files, reactions, pins, bookmarks, reminders, user groups, and user status; search messages and files with user scopes; and retrieve user, conversation, and workspace info.
Outcome 1
Metorial keeps the workflow connected, governed, and traceable across the systems involved.
Outcome 2
Metorial keeps the workflow connected, governed, and traceable across the systems involved.
Outcome 3
Metorial keeps the workflow connected, governed, and traceable across the systems involved.
Outcome 4
Metorial keeps the workflow connected, governed, and traceable across the systems involved.
Metorial is the governed connection layer between your AI agents and the tools your company runs on. It turns workflows like manage redis cloud database scaling alerts with slack notifications into something you can deploy quickly, safely, and at scale.
Fast
Connect 1000+ verified integrations through one Magic MCP URL instead of building and maintaining bespoke connectors for each system in this workflow.
Secure
Protoguard inspects every message and tool call for prompt injection and policy violations before an agent touches your systems.
Enterprise
Agents act on real identity under company SSO, with per-user and per-group access policies and a complete, searchable record of everything that happens.
Team ready
Package this workflow as a skill, attach the tools it needs, and let teammates run it through Portals — governed by admins, owned by the people who do the work.
The Metorial products that connect, govern, and observe this scenario.
Connectivity
Start from 1000+ verified integrations or bring your own, and give every one a governed path to your agents under existing SSO and access policies.
Connectivity
A single URL your AI client connects to. Sign in with the login you already use and your agent reaches every integration and tool you allow — no per-app setup.
Identity
Sign in with company SSO, set policies per user and group, and let agents act on real identity across every connected system in this workflow.
Governance
Metorial’s security layer reviews every message and tool request before an agent acts — catching prompt injection and blocking anything outside your policies.
Observability
A complete, searchable record of everything your agents, team, and machines do across these integrations, so you can trust the workflow in production.
Governance
Let teammates connect agents to the integrations and skills your company already uses, with admins deciding who gets access to what.
However you adopt AI, Metorial has a path for connecting it safely.
Solution
Give the agents behind this scenario governed access to every tool and integration they need, with one connection layer instead of bespoke glue code.
Solution
SSO, granular access control, security review, and full audit trails so this workflow meets enterprise governance and compliance requirements.
Solution
Let the people who do this work connect their own AI agents to approved integrations and reusable skills — safely, without waiting on engineering.