In the rapidly evolving world of [microservices](https://konghq.com/blog/learning-center/what-are-microservices)microservices and [cloud-native applications](https://konghq.com/blog/learning-center/what-is-cloud-native)cloud-native applications, service mesh has emerged as a critical tool for managing complex, distributed systems. As organizations increasingly adopt microservices architectures, they face new challenges in service-to-service communication, security, and observability. This guide will walk you through the key considerations and steps for successfully adopting a service mesh in your organization.

## Understanding service mesh

[A service mesh](https://konghq.com/blog/learning-center/what-is-a-service-mesh)A service mesh is essentially a way of solving service-to-service communication challenges using sidecar proxies. These proxies allow you to transparently instrument your network calls with observability, enforce security, and control routing between services. This approach is an alternative to writing a lot of this functionality into the application yourself or using a centralized gateway, which can create potential bottlenecks.

The service mesh pattern puts these proxies next to the application code. It doesn't matter what language you've written your applications in; the service mesh sits out of the process and acts as a sidecar or helper process to the main application instances. These proxies are configured and managed by a control plane component that operators and end users interact with to drive the behavior of the network. In many ways, this is an API on top of your network that understands application traffic.

Join us at Kong [API Summit](https://konghq.com/events/conferences/api-summit)API Summit to learn hands-on strategies for adopting service mesh

## Do you need a service mesh?

Before diving into service mesh adoption, it's crucial to evaluate whether your organization truly needs one. Consider the following factors:

1. - Are you dealing with many services that need to interact over the network to solve business problems?
2. - Do you have multiple languages and frameworks in your ecosystem?
3. - Are you struggling with maintaining and upgrading networking libraries across different languages and frameworks?
4. - Are you operating in a cloud-native environment with ephemeral workloads scaling up and down?
5. - Is there decentralization and autonomy in the teams deploying services?
6. - Do you need consistency in dealing with how traffic and services communicate over the network?

If you answered yes to most of these questions, a service mesh might be beneficial for your organization. Service mesh is particularly useful in cloud-native environments and for RPC-type interactions or anything that communicates on the network.

For a deeper dive into determining if a service mesh is right for your organization, check out [7 Signs You Need a Service Mesh](https://konghq.com/blog/engineering/7-signs-you-need-a-service-mesh)7 Signs You Need a Service Mesh.

## Starting your service mesh journey

When it comes to adopting a service mesh, the best place to start is small. Begin iteratively and grow into the capabilities that a mesh offers. A tried and true approach is to start adopting a service mesh at the edge, where traffic comes into a boundary. This allows you to start getting the benefits of a mesh without directly affecting how you deploy your applications.

Here's a step-by-step approach:

1. - Start at the edge with a common ingress API gateway.
2. - Build capabilities at the edge and learn from this experience.
3. - Gradually push the sidecar proxies closer to your applications.
4. - Pick a group of applications to start with and slowly add others.
5. - Enable features like mutual TLS, telemetry collection, and resilience mechanisms.

This iterative approach allows you to show wins and demonstrate value as you adopt the service mesh.

## Tips for deploying service mesh in production

When moving from [service mesh evaluation to production deployment](https://konghq.com/events/webinars/building-and-deploying-a-service-mesh-from-scratch)service mesh evaluation to production deployment, keep these tips in mind:

1. - Go beyond the "Hello World" experience: The initial getting started guide is not suitable for production use. Invest time in understanding the real-world configurations and tunings needed for your environment.
2. - Focus on gateway functionality: Gateways are crucial for self-service and multi-cluster scenarios. Plan your architecture to use gateways effectively for boundary control and cross-cluster communication.
3. - Treat the data plane as part of your application: The sidecar proxies become part of your application. Understand how to deploy, debug, and safely roll them out to existing applications.
4. - Plan for certificate management: Don't rely on default certificate management for production. Integrate your existing PKI infrastructure or build a new one that works with the mesh's certificate orchestration.
5. - Develop debugging skills: Learn how to debug the mesh configuration and network issues. Understand the telemetry signals and how to interpret them for quick problem resolution.

## Practical steps for service mesh implementation

Here's a more detailed look at implementing a service mesh in production:

1. - Install a minimal control plane: Start with a basic installation that allows for easy lifecycle management and future expansion. For example, you might use a config that specifies production configurations and annotate it with a specific revision for canary deployments.
2. - Deploy separate gateways: Set up ingress gateways in separate namespaces from the control plane. This separation allows for independent lifecycle management of these critical components.
3. - Configure the gateway: Apply the necessary configurations to allow traffic into the mesh through the gateway.
4. - Roll out sidecar proxies gradually: Use a canary approach to introduce sidecar proxies to your workloads. This allows for safer, more controlled adoption.
5. - Address potential issues: Be aware of challenges like proxy-application startup race conditions. Use appropriate configurations to ensure the proxy is ready before the application starts.
6. - Plan for upgrades: Implement strategies for safe upgrades, such as running multiple control plane versions in parallel for canary-style upgrades.

## Retrofitting existing deployments

While some greenfield projects may have the luxury of starting with a service mesh, most organizations will have existing services to onboard. These services might run in VMs or bare-metal hosts instead of containers. Some service meshes address such environments and help with the modernization of these services, allowing organizations to:

• - Avoid rewriting their applications
• - Adapt microservices and existing services using the same infrastructure architecture
• - Facilitate adoption of new languages
• - Securely connect with services in the cloud or on the edge

For organizations adopting a strangler pattern to break down monoliths, service meshes can make it easier to insert facade services.

## Security considerations

While security is often prioritized last, it's a critical aspect of service mesh adoption. Here are some key points to consider:

• - It's best practice to secure everything using strongly authenticated and authorized services.
• - Some organizations may be content with securing only the edge of their network while still wanting the observability and control a service mesh provides.
• - The overhead of encryption between services (in terms of CPU cycles and latency) might be a consideration for some organizations.
• - Service mesh can help flatten internal networks by enforcing authorization checks across services, making them broadly reachable while granularly controlling which requests are authorized.

## Conclusion

Adopting a service mesh is a journey that requires careful planning and execution. By starting small, focusing on key areas like observability and security, and gradually expanding your implementation, you can successfully navigate the complexities of service mesh adoption. Remember, the goal is not just to implement a service mesh, but to use it effectively to solve real problems and improve your overall system architecture and operations.