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Microservices vs. Monolith in 2026 — When to Use Which and Why

04. 02. 2026 3 min read CORE SYSTEMSarchitecture
Microservices vs. Monolith in 2026 — When to Use Which and Why

Microservices vs. Monolith in 2026 — When to Use Which and Why

“Let’s go with microservices” is still the most common architectural decision companies make without data in 2026. Shopify processes 30 TB of data per minute on a modular monolith. Netflix runs 1,000+ microservices. 42% of organizations surveyed by ByteIota are considering returning to a monolithic architecture. Both approaches make sense — because they solve different problems. This is a framework for making the right decision.

The last two years brought an architecture correction few expected. Three trends shape decision-making:

1. Modular Monolith Revival

The “boring tech” movement is gaining momentum. Developers increasingly choose SQLite over Kubernetes, simplicity over sophistication. McKinsey recently stated that “complexity introduced by modern architectures often outpaces the organization’s ability to manage it, leading to higher operational costs without corresponding productivity gains.”

IEEE noted “renewed industry interest in modular monoliths as a response to microservices sprawl.” The pendulum is shifting from “move fast and break things” to “move deliberately and build sustainably.” Sustainable, simple architectures enable teams to deliver features instead of managing infrastructure.

Specifically: Amazon Prime Video publicly described a transition from microservices back to a monolithic service — they reduced costs by 90% and simplified debugging. Shopify never switched to microservices and instead invested in modularizing their Ruby on Rails monolith using the Packwerk tool. Basecamp/37signals runs HEY mail — a complete email client — on a single Rails monolith with a team under 20 people.

2. Service Mesh Maturity: Istio Ambient and eBPF

For those who truly need microservices, 2026 is a turning point. Istio Ambient Mesh eliminated the sidecar proxy pattern — no extra envoy containers in every pod, no double memory overhead. Ambient mesh operates at the L4/L7 ztrust tunnel (ztunnel) and waypoint proxy level, dramatically reducing resource consumption and latency.

In parallel, Cilium with eBPF brings service mesh at the kernel level — with no proxy at all. Benchmarks show significant differences in latency and memory consumption between sidecar (classic Istio), sidecarless (Ambient), and eBPF-based (Cilium) approaches. For enterprise deployment, this means: microservices networking has stopped being a bottleneck. Istio, after CNCF graduation in 2025, is becoming the dominant enterprise standard.

Practical impact: If you rejected microservices because of service mesh operational overhead, Ambient Mesh and Cilium have significantly weakened that argument. But note — simplifying networking doesn’t solve distributed data consistency or organizational problems.

3. Platform Engineering and Internal Developer Platform

The third trend changes the rules: platform engineering. Gartner predicted that by 2026, 80% of organizations would have a platform engineering team. Reality is more sober, but the direction is clear — companies are building Internal Developer Platforms (IDP) that abstract infrastructure complexity.

Tools like Backstage (Spotify), Kratix (Syntasso), and Humanitec enable developers to deploy services in a self-service manner without needing to understand Kubernetes, Terraform, or Helm charts. The platform team provides “golden paths” — pre-configured templates for typical workloads.

What this means for the microservices vs. monolith debate: If you have a quality IDP, the operational overhead of microservices drops dramatically. A developer creates a new service with one command, including CI/CD pipeline, observability, secrets management, and networking. But: building such a platform costs 2–4 senior engineers full-time for 12+ months. For a team of 15, that’s an unrealistic investment.

architecturemicroservicesmodular monolithplatform engineering
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