Let me cut to the chase: the rest of this article is just background on one of my favorite platform services, which is included with the Red Hat OpenShift application platform. While diving into the upcoming release of OpenShift Service Mesh 3 (OSSM 3), I created a Red Hat Solution Pattern so you can try it out right now! [Link to Solution Pattern] Take a look!
Now, back to platform services, architecture, and the value both bring—let’s talk about OpenShift Service Mesh (OSSM).
If you’ve ever felt overwhelmed by the complexity of managing microservices, you’re not alone. I’ve been there, exploring Kubernetes and containers, only to realize how much of a challenge it is to balance agility with security, observability, and reliability.
Having worked with earlier versions of OSSM, I have recently been exploring and getting ready for OpenShift Service Mesh 3 (OSSM 3, currently in tech preview). I wanted to share my experiences with the changes, improvements, and where this technology is heading, along with encouraging you to try it out now with a helpful guide.
Tackling the Complexity of Microservices
Developers want to focus on business logic in modern application architectures involving containers and Kubernetes and leverage this technology for agility. However, ensuring compliance with organizational requirements—security, monitoring, and high-availability networking—demands significant operational overhead.
In many cases, this "non-business logic" work can exceed the complexity of the service itself.
The result? A single microservice becomes burdened with additional overhead to support non-business-related functions, such as security and observability, often requiring custom code for each service. This challenge compounds in microservices environments, where services are built with diverse languages and frameworks, reducing agility and undermining the core benefits of microservices.
How Service Mesh Solves This
For those new to service mesh, the basic idea is simple: offload operational overhead like security, observability, and traffic control to a dedicated layer, leaving developers free to focus on writing great code. OSSM excels at this, managing tasks like encrypted service-to-service communication and advanced traffic routing (and more) without requiring application code changes.
Service Mesh decouples operational overhead from business logic through sidecar proxy containers. These sidecars automatically handle communication, security, and observability across services. Orchestrated by a centralized control plane, this architecture enables:
- Policy-driven management: Define operational policies (e.g., security rules, traffic control) once and apply them uniformly.
- Runtime-agnostic support: Sidecars abstract service mesh intelligence from the application, ensuring consistent behavior regardless of language or framework.
Key Benefits of OpenShift Service Mesh
Built on Istio, Red Hat OpenShift Service Mesh handles service-to-service communication without needing to modify application code. ts key features include:
- Security: Default zero-trust features, such as mTLS encrypted service-to-service communication, authentication, and authorization, ensure secure connections.
- Communication Control: Fine-grained routing, load balancing, and failure recovery mechanisms support advanced deployment strategies like blue/green, canary, and A/B testing.
- Observability: Detailed insights into service interactions through uniform metrics, logging, and tracing. For example, track success rates, latency distributions, and traffic volumes across workloads.
- Resiliency: Facilitating automated retries, timeouts, and circuit breakers enable self-healing systems..
Bridging VMs and Containers
With OpenShift Virtualization’s maturity, I’ve explored integrating OSSM and virtual machines (VMs). If you’re working with legacy apps running on VMs with OpenShift Virtualization, OSSM extends modern features—like secure communication and observability—to those workloads without rewriting them. This is invaluable for hybrid architectures where VMs and containers need to communicate natively.
Why OpenShift and OSSM?
OpenShift isn’t just Kubernetes; it’s a complete enterprise application platform. Tools like Service Mesh are seamlessly integrated, offering enterprise support and simplifying adoption.
OSSM 3 future-proofs your environment with next-generation capabilities, including future support of:
- Kubernetes Gateway API: Essential for advanced ingress and traffic management.
- Red Hat Connectivity Link: Enables cross-cluster and multi-cloud API connectivity.
Solution Patterns: A Practical Approach
Solution patterns from Red Hat help you understand how to build real-world use cases with reproducible demos, deployment scripts, and guides.
This Solution Pattern based on Red Hat OpenShift Service Mesh 3 includes step-by-step examples that highlight real-world use cases, such as:
- Setting up observability with Kiali and Distributed Tracing.
- Running canary deployments using automation.
- Exploring the Kubernetes Gateway API for ingress management.
For anyone looking to get hands-on with Service Mesh 3, this guide is a great way to bridge the gap between theory and practice.
Currently, in tech preview, OSSM 3 and Kubernetes Gateway API Custom Resource Definitions (CRDs) represent the next evolution in platform service technology. Early adoption prepares teams for next-generation features once they become generally available and supported and maximizes the value of OpenShift’s integrated capabilities.
What’s Next?
Looking ahead, I’m particularly intrigued by Ambient Mesh, a roadmap feature in the OSSM roadmap that promises to simplify service mesh architecture even further. While it’s unavailable in the current tech preview, I’m keeping an eye on it as the next thing in service mesh evolution.
