Containerized app hosting
7 companies in this space
Important Developer Trends for September 15 to 21, 2025
| Rank | Trend | Score | Change | Components | Recent scores |
|---|---|---|---|---|---|
| #1 |
Real-time
Real-time and streaming workloads are a meaningful deployment use case for container platforms, influencing requirements for low latency, persistent connections, scaling, and event-driven architecture.
|
65.0 | — |
Strategic 62 Adoption 100 · Attention 35 · Momentum 50 |
61 · 44 · 69 · 44 · 46 · 55 · 37 · 65 |
| #2 |
AI Agents
AI agents increasingly drive demand for deployable, scalable application runtimes, background jobs, secure sandboxes, and developer tooling, making them materially relevant to containerized hosting decisions.
|
62.3 | — |
Strategic 62 Adoption 86 · Attention 20 · Momentum 100 |
45 · 46 · 62 · 53 · 45 · 46 · 55 · 62 |
| #3 |
Serverless
Serverless and functions-as-a-service are a durable adjacent deployment model that directly shapes how developers choose to package, run, scale, and pay for applications.
|
61.4 | — |
Strategic 70 Adoption 57 · Attention 20 · Momentum 100 |
57 · 42 · 65 · 50 · 42 · 45 · 51 · 61 |
| #4 |
LLM
LLM workloads and AI-enabled applications increasingly shape deployment, scaling, GPU access, observability, and runtime requirements for container hosting.
|
58.7 | +1 |
Strategic 68 Adoption 57 · Attention 10 · Momentum 100 |
50 · 51 · 51 · 67 · 55 · 56 · 49 · 59 |
| #5 |
Developer Experience
Developer experience directly shapes platform selection, onboarding speed, deployment workflows, and operational productivity for containerized application hosting.
|
55.4 | -1 |
Strategic 72 Adoption 29 · Attention 10 · Momentum 100 |
52 · 43 · 52 · 55 · 59 · 53 · 51 · 55 |
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