Containerized app hosting
7 companies in this space
Important Developer Trends for February 16 to 22, 2026
| Rank | Trend | Score | Change | Components | Recent scores |
|---|---|---|---|---|---|
| #1 |
LLM
LLM workloads and AI-enabled applications increasingly shape deployment, scaling, GPU access, observability, and runtime requirements for container hosting.
|
64.3 | +5 |
Strategic 68 Adoption 86 · Attention 20 · Momentum 67 |
41 · 57 · 64 · 48 · 66 · 63 · 56 · 64 |
| #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.
|
60.6 | +3 |
Strategic 62 Adoption 86 · Attention 25 · Momentum 50 |
37 · 53 · 46 · 65 · 53 · 64 · 63 · 61 |
| #3 |
Observability
Observability and distributed tracing are directly relevant to operating containerized applications, where distributed services, ephemeral workloads, and deployment complexity make diagnosis and performance management essential.
|
58.6 | +4 |
Strategic 72 Adoption 57 · Attention 10 · Momentum 50 |
43 · 52 · 68 · 43 · 53 · 51 · 55 · 59 |
| #4 |
Kubernetes
Kubernetes is a foundational container orchestration technology that directly shapes deployment, scaling, networking, and operations choices for containerized application hosting.
|
56.3 | -3 |
Strategic 82 Adoption 29 · Attention 5 · Momentum 13 |
52 · 65 · 64 · 57 · 67 · 67 · 73 · 56 |
| #5 |
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.
|
53.3 | -1 |
Strategic 62 Adoption 57 · Attention 20 · Momentum 33 |
37 · 60 · 60 · 37 · 53 · 62 · 65 · 53 |
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