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AWS Integration Guides

Connect AWS with the tools your team already runs

Decision-first guides for integrating AWS with Datadog, GitHub Actions, Kubernetes (EKS), Terraform, Stripe, MongoDB Atlas, Snowflake, Okta, Salesforce, and HashiCorp Vault — updated for 2026 features and written by AWS-certified architects.

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Integration guides
2026
Updated for current AWS features
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AWS-certified reviewers

Last updated: April 29, 2026  ·  Reviewed by: FactualMinds AWS-certified architects (Solutions Architect – Professional)

Why we publish integration guides

Most integration docs are written by the vendor — so they tell you how to use their product, not whether their product is the right call against AWS-native alternatives. We write these guides from the AWS side of the table: when an AWS-native service is enough, when a third-party tool earns its seat, and what the clean implementation looks like once you have decided.

Each guide covers the 2026 feature set (Bedrock AgentCore integrations, EKS Auto Mode, OIDC short-lived credentials, Iceberg and S3 Tables interop, post-quantum crypto expectations), an explicit When NOT to use this section, implementation steps where applicable, and a decision matrix against the AWS-native equivalent.

Observability & Monitoring

Unify logs, metrics, traces, and LLM/agent telemetry across AWS and third-party tools — without double-paying for the same signal.

Datadog with AWS

Datadog on AWS in 2026: unified observability for CloudWatch, EKS, Lambda, Bedrock LLM workloads, and security posture across multi-cloud estates.

Monitoring & Observability

CI/CD & Supply Chain

Ship to AWS with OIDC-based short-lived credentials, SLSA-aligned artifact attestations, and pipelines tested against production configs.

GitHub Actions with AWS

GitHub Actions to AWS in 2026: OIDC keyless auth, Artifact Attestations, Immutable Actions, ARM runners, and reusable workflows to ECS, Lambda, EKS.

Continuous Integration & Deployment

Infrastructure as Code

Author, test, and roll out AWS infrastructure with Terraform, OpenTofu, and AWS CDK — including state encryption and drift detection.

Terraform on AWS

Terraform + AWS in 2026: Stacks GA, ephemeral values, provider-defined functions, Test Framework, OpenTofu 1.8 encryption — vs CDK and CloudFormation.

Infrastructure as Code

Containers & Kubernetes

EKS Auto Mode, Hybrid Nodes, Karpenter, and Pod Identity patterns for platform teams running Kubernetes on AWS in 2026.

Kubernetes on AWS (EKS)

Amazon EKS in 2026: Auto Mode GA, Hybrid Nodes, Karpenter 1.0, Pod Identity, Graviton-first node pools, and ECR enhanced scanning — cheaper, safer K8s.

Container Orchestration

Data Platforms

Lakehouse and warehouse integrations with S3, S3 Tables, Iceberg, and Bedrock — from ingestion through agentic querying.

Snowflake on AWS

Snowflake + AWS in 2026: Cortex Analyst, Iceberg Tables on S3, Hybrid Tables, Snowpark, Polaris Catalog — vs Redshift, Athena, SageMaker Lakehouse.

Cloud Data Platform

Databases & Vector Search

Operational and vector databases alongside RDS, DynamoDB, and OpenSearch — with decision guidance on when AWS-native is the better fit.

MongoDB with AWS

MongoDB Atlas on AWS in 2026: MongoDB 8.0, Vector Search GA, Stream Processing, Queryable Encryption, Edge Server — vs DynamoDB, OpenSearch, pgvector.

NoSQL & Vector Database

Identity & Access

SSO, MFA, passkeys, and Zero Trust access to AWS Console, CLI, and applications — with IAM Identity Center as the integration backbone.

Okta Identity Management with AWS

Okta + AWS in 2026: Workforce Identity SSO into IAM Identity Center, Identity Threat Protection, ISPM, Device Access, passkeys, and Verified Access.

Identity & Access Management

Payments & Financial

PCI-aware payment integrations that keep cardholder data out of your AWS environment while preserving analytics in your lakehouse.

Stripe Payments on AWS

Stripe + AWS in 2026: Optimized Checkout, Adaptive Acceptance, Radar ML, Issuing, Terminal Cloud — integrated with Lambda, API Gateway, EventBridge.

Payment Processing

CRM & Customer Data

Connect Salesforce Data Cloud, marketing systems, and AWS analytics for zero-copy customer insights and agent-powered workflows.

Salesforce Integration with AWS

Salesforce + AWS in 2026: Agentforce 2.0 with Lambda, Data Cloud Zero-Copy with S3 Tables and Iceberg, Einstein Trust Layer, and Amazon Connect CTI.

CRM + AI Integration

Secrets & Encryption

Centralized secret management and envelope encryption with AWS KMS, Secrets Manager, and HashiCorp Vault — for teams that need dynamic credentials.

HashiCorp Vault on AWS

HashiCorp Vault on AWS: dynamic DB credentials, transit-engine encryption, HCP Vault Secrets, and EKS Secrets Operator vs AWS Secrets Manager guidance.

Secret Management & Encryption

Engagement model

How a typical AWS-plus-third-party integration engagement runs

Four phases. Embedded delivery. Knowledge transfer throughout.

Assess

We map your current AWS accounts, the tools already in play, and the gaps where something is being done manually. You leave week one with a concrete integration scorecard — not a slide deck.

Design

We pick the simplest pattern that meets your compliance needs: AWS-native where it is credible, third-party where it genuinely wins. OIDC, IAM Identity Center, PrivateLink, and KMS are the defaults.

Implement

AWS-certified engineers build the integration alongside your team, using your IaC and pipelines. Handoff includes runbooks, alerts, IAM policies, and an owner matrix.

Operate

We stay on-call for the first 30 days post-cutover, then transition to quarterly reviews that cover cost, security drift, and new AWS features relevant to the integration.

FAQ

Frequently asked questions about AWS integrations

When should we use AWS-native vs a third-party integration?
Start with the AWS-native service when the control plane belongs with your workload (IAM Identity Center for workforce SSO, Secrets Manager for workload secrets, CloudWatch for basic infrastructure metrics, EventBridge for event routing). Add a third-party when you need a capability that AWS does not match at equivalent depth: Datadog for cross-cloud observability, Okta for customer and partner identity at scale, HashiCorp Vault for dynamic database credentials and transit encryption, Snowflake for multi-cloud analytics. Our per-integration guides include a "When NOT to use this" section specifically to make that trade-off explicit.
How do you keep integration costs from quietly escalating?
Every integration we implement ships with cost guardrails: tagged resources, a CloudWatch or Datadog cost dashboard, and — for egress-sensitive integrations — VPC endpoints, PrivateLink, or S3 Transfer Acceleration based on the actual access pattern. We also run a 90-day FinOps review against AWS Cost Optimization Hub and the Split Cost Allocation Data in CUR 2.0 so per-integration unit economics are visible, not aggregated into a generic "third-party SaaS" line.
Can I consolidate observability between Datadog and CloudWatch?
Yes, and in most mid-market AWS estates you should. The pattern we deploy most often is: CloudWatch for AWS-service-native metrics and the occasional alarm, Datadog (or an equivalent) as the single pane of glass for application traces, custom metrics, LLM observability, and cross-account correlation. AWS Distro for OpenTelemetry (ADOT) makes the hand-off clean so you are not double-instrumenting.
What does your security review look like before we connect a third-party tool to AWS?
We audit the trust relationship first: prefer OIDC federation with scoped subject claims over long-lived IAM users, require external-ID on assumed roles, confirm data residency and PrivateLink endpoints for regulated workloads, and validate the vendor against our SOC 2 / ISO 27001:2022 / HIPAA matrix. For PCI-in-scope integrations (Stripe, payment orchestrators) we validate against PCI DSS 4.0.1 specifically, including the new MFA and script integrity requirements.
Do these integrations work for multi-cloud or hybrid workloads?
Several are explicitly multi-cloud or hybrid (Okta, Datadog, HashiCorp Vault, Snowflake, MongoDB Atlas, EKS Hybrid Nodes). Where AWS offers a comparable native service we call out the decision criteria — for example, IAM Identity Center beats Okta for pure AWS shops, and AWS Secrets Manager beats Vault if you are single-cloud with straightforward static credentials. Our guides are written so an AWS-only team and a hybrid team both get an honest answer.
Can you run the integration project end-to-end, or only advise?
Both. We offer discrete advisory engagements (security review of an existing integration, architecture review before a rollout, FinOps review of an existing tool) and implementation engagements where our AWS-certified engineers build, test, and hand off the integration to your team with full documentation. Implementation engagements range from 2 weeks for a narrow scope (GitHub Actions OIDC rollout) to 12 weeks for cross-team platform changes (Okta + IAM Identity Center + AWS Verified Access).

Not finding your integration?

Our AWS-certified engineers can design, review, or implement integrations between AWS and any tool in your stack — native or third-party.

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