Kong Consulting

Kong is an open-source API gateway and service mesh used to route, secure, and observe traffic between clients and microservices. It is commonly used by platform, DevOps, and application teams to standardize API access, enforce consistent policies, and reduce operational overhead in distributed architectures.

Kong is often deployed on Kubernetes and supports cloud, on-premises, and hybrid environments, making it useful for shared platform patterns and multi-team API governance. It can also complement broader Platform Engineering efforts focused on reliable, self-service delivery.

• Request routing and load balancing for north-south and east-west traffic
• Authentication, authorization, and policy enforcement through plugins
• Rate limiting, quotas, and traffic shaping to protect upstream services
• Observability integrations for logs, metrics, and distributed tracing
• Centralized management of API standards and lifecycle controls

Here are some reasons to use tools in the service mesh category:

• Simplifies the management of networking infrastructure in a distributed system.
• Provides advanced security features such as traffic monitoring and encryption.
• Enables features like service discovery, load balancing, and traffic routing.
• Enhances observability through detailed metrics and monitoring capabilities.
• Increases resilience by enabling fault tolerance and handling network disruptions seamlessly.
• Facilitates the adoption of microservices architecture and helps in deploying them at scale.
• Offers platform independence and works with various languages and platforms.
• Reduces development and maintenance costs by abstracting away the underlying infrastructure.

Kong is an open-source API gateway and service mesh used to route, secure, and observe traffic between clients and microservices. It is commonly adopted to standardize API governance and enforce consistent policies across Kubernetes, cloud, and hybrid environments.

• Centralizes API ingress with consistent routing, header and request transformations, and policy enforcement across many services.
• Improves security with common authentication and authorization patterns such as JWT, OAuth2, and mutual TLS.
• Protects upstream services using rate limiting, request size limits, and IP allow and deny controls to reduce abuse and noisy neighbor risk.
• Supports progressive delivery with path and host based routing, weighted traffic splitting, and safe rollout patterns for new versions.
• Extends gateway behavior through a mature plugin model, enabling policies and integrations without requiring application code changes.
• Fits Kubernetes workflows via the Kong Ingress Controller and declarative configuration, enabling GitOps-friendly reviews and repeatable rollouts.
• Improves reliability with health checks, timeouts, retries, and upstream load balancing controls to handle partial failures more predictably.
• Enables service-to-service policy enforcement and encryption when paired with Kong Mesh, reducing inconsistent networking behavior between teams.
• Strengthens observability by integrating with metrics, logs, and tracing systems to troubleshoot latency, error rates, and dependency issues.
• Scales to high throughput traffic with a lightweight data plane and deployment options that support distributed and multi-region architectures.

Kong is a strong fit when teams need a single control point for north-south API traffic, plus a path to consistent east-west policies as microservices grow. Key trade-offs include operational complexity at scale, plugin and policy governance, and deciding which concerns belong at the gateway versus the mesh to avoid duplicated controls.

Common alternatives include NGINX, Apigee, and Istio, depending on whether the priority is gateway performance, full API management, or deeper service mesh capabilities. For background, see Kong in the CNCF ecosystem.

Our experience with Kong helped us turn API gateway and service mesh work into repeatable delivery patterns—declarative configuration, policy baselines, and operational runbooks that make it easier for teams to secure, govern, and scale API traffic across Kubernetes and hybrid environments.

Some of the things we did include:

• Deployed Kong Gateway on Kubernetes using declarative configuration and GitOps workflows to standardize services, routes, consumers, and plugins across environments.
• Designed high-availability topologies with horizontal scaling, health checks, and safe upgrade paths for Kong and plugins to reduce change risk in production.
• Implemented consistent authN/authZ by integrating Kong with enterprise identity providers (OIDC/JWT) and enforcing tenant isolation and least-privilege access at the edge.
• Hardened API security with mTLS, rate limiting, IP allow/deny rules, request validation, and auditable policy changes managed through pull requests.
• Established observability with Prometheus metrics, structured logging, and distributed tracing pipelines to improve incident response and capacity planning.
• Built CI/CD checks to lint and test Kong configuration, validate plugin compatibility, and automate progressive rollouts with rollback strategies.
• Migrated legacy gateways and NGINX-based routing into Kong, rationalizing routes and policies while minimizing breaking changes for client applications.
• Implemented traffic management patterns such as canary releases, header-based routing, and request/response transformations to support safer microservice releases.
• Optimized performance and cost by tuning worker/concurrency settings, connection pooling, caching behavior, and plugin usage based on real request profiles and latency SLOs.
• Delivered enablement sessions and on-call handover documentation so platform and application teams could operate Kong confidently, including troubleshooting playbooks and upgrade checklists.

This experience helped us accumulate significant knowledge across multiple Kong use-cases—from platform standardization and security to observability and production operations—and enables us to deliver high-quality Kong setups that are maintainable, scalable, and aligned with how teams ship and run microservices.

Some of the things we can help you do with Kong include:

• Run an API gateway and service mesh assessment, producing a prioritized findings report for reliability, security, and operability.
• Create an adoption roadmap for standardizing API governance across teams, environments, and Kubernetes/hybrid deployments.
• Design and implement Kong gateway architecture, including routing, services, consumers, and plugin strategy aligned to your platform standards.
• Harden security with authentication/authorization, mTLS, rate limiting, WAF-style controls, and policy guardrails for compliance.
• Automate Kong configuration with Infrastructure as Code and GitOps workflows, integrating with CI/CD for repeatable deployments.
• Establish observability for API traffic (metrics, logs, tracing), SLOs, and dashboards to reduce MTTR and operational risk.
• Optimize performance and cost through caching, timeouts, connection tuning, autoscaling patterns, and capacity planning.
• Troubleshoot production issues such as latency, 5xx errors, plugin conflicts, and upstream instability with structured runbooks.
• Build operational runbooks and on-call practices for upgrades, incident response, and safe configuration changes.
• Enable teams with hands-on training and reference patterns for secure API publishing, versioning, and lifecycle management.

Learn more about our platform engineering approach on MeteorOps.