Containerized app hosting
7 companies in this space
Important Developer Trends for June 29 to July 5, 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.
|
69.6 | +1 |
Strategic 68 Adoption 100 · Attention 25 · Momentum 100 |
59 · 56 · 61 · 57 · 48 · 41 · 56 · 70 |
| #2 |
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.
|
66.7 | +3 |
Strategic 62 Adoption 100 · Attention 30 · Momentum 100 |
53 · 52 · 63 · 56 · 53 · 63 · 52 · 67 |
| #3 |
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.
|
65.1 | +1 |
Strategic 62 Adoption 100 · Attention 25 · Momentum 83 |
52 · 53 · 53 · 52 · 53 · 51 · 53 · 65 |
| #4 |
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.
|
61.9 | +4 |
Strategic 72 Adoption 57 · Attention 15 · Momentum 100 |
50 · 52 · 52 · 55 · 43 · 53 · 51 · 62 |
| #5 |
Kubernetes
Kubernetes is a foundational container orchestration technology that directly shapes deployment, scaling, networking, and operations choices for containerized application hosting.
|
61.4 | -4 |
Strategic 82 Adoption 29 · Attention 10 · Momentum 100 |
65 · 59 · 69 · 69 · 57 · 65 · 57 · 61 |
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