Prerequisites
Here is the list of prerequisites to start your journey with the Flashback platform. We also recommend you to read the explanation about the platform :
Supported Browsers
Latest stable Chrome, Firefox, or Safari (ensure JavaScript and cookies are enabled).
Vendors' Cloud Accounts
Flashback is a solution that connects you to your existing provider, such as Amazon Web Services, Google Cloud Platform, Microsoft Azure, OpenAI, Anthropic AI, StorJ or Filecoin's Akave.
GCP
StorJ
OpenAI
Anthropic AI
We recommend you to visit the documentation of your favorite cloud providers to learn how to set up efficiently your resource enabler (storage, AI LLMs, and more).
CLI and SDK Tools
You can use native CLI and SDK of providers to help you to configure your resources:
• Preferred post-2020 versions of programming language version for SDK integrations.
Azure
For cloud storage, you can also use the S3-compatible APIs (non-exhaustive list):
Basic Cloud-Storage Knowledge
• Understanding buckets, objects, ACLs, IAM roles, signed URLs. • Familiarity with uploading/downloading via CLI or REST APIs.
Supported Platform Services
Object Storage
Find and understand the different object storage solutions from the providers.
StorJ
Akave (Filecoin)
We recommend you to visit the documentation of your favorite cloud providers supporting S3-compatible APIs to learn how to set up efficiently your storage enabler.
AI LLMs
Find and understand the different AI LLM solutions from the providers.
Before using AI LLM features through Flashback, we recommend:
• Having at least one active AI provider account (e.g., OpenAI, Anthropic, AWS, GCP, or Azure). • Being able to create and manage API keys, secrets, and usage quotas. • Basic understanding of JSON, HTTP APIs, and prompt/response patterns. • Clarity on security practices (environment variables, key rotation, role-based access).
We recommend you to visit the documentation of your preferred AI providers to learn how to provision models, configure authentication, and monitor usage safely.
Future Platform Capabilities
The following sections describe the prerequisites that will help you prepare for upcoming Flashback features described in the “What’s Coming Next” roadmap.
AI Engine Aggregation
Prerequisites to get value from unified AI engine aggregation:
• Accounts and API keys for two or more AI providers (e.g., OpenAI, Anthropic, AWS Bedrock, Vertex AI, Azure OpenAI). • A clear mapping between projects/teams and the AI providers they are allowed to use (for policy-based routing). • Basic familiarity with model families (chat, embeddings, vision, tools/function calling) and their typical use cases. • Centralized way to store secrets (e.g., secret manager, vault, or environment management in your CI/CD pipeline).
Agentic Self-Management
Prerequisites to let agentic systems observe and optimize your workloads:
• Existing monitoring or logging setup for your applications (metrics, logs, traces), even if basic. • Clear SLOs or target KPIs for cost, latency, and reliability (e.g., max €/month, P95 latency, uptime %). • Permissions for Flashback to read observability data and, in controlled scopes, adjust policies or routing. • A staging/sandbox environment to safely test agent-driven changes before applying them to production.
Multi-Cloud Compute & Serverless Functions
Prerequisites to extend from storage into cross-cloud compute:
• Cloud accounts with permissions to create and manage compute resources (VMs, containers, serverless functions) on at least one provider. • A container registry or build pipeline if you deploy containerized workloads (e.g., Docker images). • Basic understanding of networking concepts (VPC/VNet, subnets, security groups, egress rules) on your main cloud. • SSH or API-based access patterns already defined for your applications, so Flashback can orchestrate them consistently.
Structured and Specialized Data Layers
Prerequisites to connect databases, warehouses, and analytics engines:
• At least one structured data system in use (e.g., PostgreSQL, MySQL, BigQuery, Snowflake, data warehouse, or OLAP engine). • Ability to create read-only and read-write roles on your databases or warehouses. • Network access patterns defined for data systems (e.g., private endpoints, IP allowlists, VPN/peering). • Basic understanding of SQL and/or analytical query patterns to define which workloads should be federated through Flashback.
DePIN-Native Governance & Incentives
Prerequisites to participate in decentralized governance and incentive mechanisms:
• A secure, organization-managed wallet solution (custodial or non-custodial) to interact with supported blockchains. • Internal policies for who can sign on-chain transactions and how keys are backed up and rotated. • Basic familiarity with staking, delegation, and reward distributions, especially for infrastructure-related tokens. • Compliance review for your jurisdiction regarding the use of digital assets in operations and incentives.
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