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For years, platform teams have known what a service mesh can provide: strong workload identity, authorization, mutual TLS authentication and encryption, fine-grained traffic control, and deep observability across distributed systems. In theory, Istio checked all the boxes. In practice though, many teams hit a wall.
Across industries like financial services, media, retail, and SaaS, organizations told a similar story. They wanted mTLS between services to meet regulatory or security requirements. They needed safer deployment capabilities like canary rollouts and traffic splitting. They wanted visibility that went beyond IP addresses.
However, traditional sidecar based meshes came with real costs:
- High operational complexity
- Thousands of sidecars to manage
- Fragile upgrade paths
- Hard to debug failure modes
In several cases, teams started down the Istio service mesh path, only to pause or roll back entirely because the ongoing operational complexity was too high. The value of a service mesh was clear, but the service mesh architecture based on sidecars was not sustainable for many production environments.
The Reality Platform Teams Have Been Living With
In many cases, organizations evaluated service meshes with clear goals in mind. They wanted mTLS between services, better control over traffic during deployments, and observability that could keep up. Continue reading