“Containers: Modernization and Advancements in Cloud-Native Development” is DZone’s 2023 Containers Trend Report, published June 8, 2023. It combines DZone research, expert community articles, and implementation guidance on container adoption, Kubernetes, security, monitoring, application modernization, and cloud-native delivery. It is useful context for architecture and platform decisions, but it is not a 2026 market survey. The official report page is DZone’s Containers Trend Report.
What the DZone Containers Trend Report is
The 2023 report is a gated, downloadable DZone trend-report resource aimed at developers, architects, platform engineers, DevOps and SRE practitioners, engineering leaders, and researchers. Its scope includes:
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- Container adoption and modernization of existing applications
- Containerized application architecture and delivery workflows
- Kubernetes and other orchestration approaches
- Image, runtime, registry, and platform security
- Monitoring, observability, and operational complexity
- Migration from monolithic systems to cloud-native designs
DZone describes containers as a way to improve deployment speed, portability, and scalability while acknowledging that managing and monitoring containerized environments remains difficult. The page requires the report-download form, so readers should expect a lead-generation gate rather than an openly readable article.
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#1 Best Overall
2021 versus 2023: which report should you read?
| Edition or resource | Date | Best use |
|---|---|---|
| Containers Trend Report | May 21, 2021 | Survey evidence about perceived benefits, challenges, architectures, and adoption |
| Containers: Modernization and Advancements in Cloud-Native Development | June 8, 2023 | Latest exact “Containers” report located; modernization and cloud-native practice |
| Kubernetes in the Enterprise | 2022–2023-era related research | Kubernetes adoption, management, orchestration, and enterprise operations |
| Cloud Native | Earlier related DZone report | Containers, microservices, orchestration, serverless, and cloud-native adoption |
For the title covered here, the 2023 page at dzone.com/trendreports/containers-2 is the correct destination. The earlier report remains valuable because it publishes more specific survey tables; its PDF is hosted at Trilio’s copy of the 2021 DZone report.
How the published survey was conducted
The detailed 2021 report says DZone surveyed software developers, architects, and other IT professionals. The survey ran from March 19 through April 6, 2021 and recorded 496 responses. Individual questions had different denominators, including 410, 415, 406, 330, and 331 respondents.
- Survey links were distributed through DZone’s opt-in subscriber list and website popups.
- The audience was global, but self-selected from DZone’s professional readership.
- Results indicate practitioner sentiment and experience, not a probability sample of all software organizations.
- Percentages from different questions should not be compared as though they came from one identical respondent group.
The PDF is also distributed through a commercial partner, so its ecosystem references should be treated as historical context rather than an independent product ranking.
Rank #2
What the 2021 research found
High availability led respondents’ priorities
When respondents ranked aspects of containerization, high availability scored 2,561, followed by process isolation at 2,470 and quick-to-spin-up development environments at 2,368. “Magical, effortless deployment” scored 2,178, and horizontal elasticity 2,154. Memory, filesystem, network-stack, and granular resource isolation ranked lower in respondents’ mental model. The report notes that several choices overlapped, so these are perceptions rather than an objective technical taxonomy.
Expected benefits were usually higher than observed benefits
| Benefit | Expected average | Observed average |
|---|---|---|
| Faster deployment | 4.5 | 4 |
| Easier development-environment setup | 4.5 | 4 |
| Consistent environments | 4.5 | 4 |
| High availability | 4.5 | 4 |
| Modularity | 4.5 | 4 |
| Build efficiency | 4.5 | 4 |
| Simplified version control | 4 | 3.5 |
| Portability | 4.5 | 4 |
| Lightweight footprint | 4 | 4 |
| Ease of maintenance | 4.5 | 3.5 |
| Scalability | 4.5 | 4 |
| Security | 4 | 3.5 |
The largest gap was ease of maintenance, not the lightweight footprint. Packaging and deployment can become more repeatable while creating additional images, policies, registries, runtime layers, upgrade paths, and ownership responsibilities.
Challenges were not dramatically worse than expected
| Challenge | Expected average | Observed average |
|---|---|---|
| Refactoring or rearchitecting legacy applications | 4 | 3.5 |
| Application and network security | 4 | 3.5 |
| Lack of developer experience | 4 | 4 |
| Application performance monitoring | 4 | 3.5 |
| Limited toolsets | 3.5 | 3.5 |
| Storage scaling | 3.5 | 3.5 |
| Platform selection | 3.5 | 3.5 |
| Immature technologies | 3.5 | 3.5 |
| Unproven return on investment | 3.5 | 3.5 |
No listed challenge was substantially worse than expected. In free responses, debugging and error handling appeared more often than any other problem.
Rank #3
Containers were used throughout delivery
Respondents reported container use in production, pre-production or staging, build-only environments, and development. Production and development were the largest locations in the aggregate results, although the exact distribution differed depending on whether respondents described their own use or their company’s use. The report observed more prominent production use than in earlier DZone surveys, while warning that the question wording changed across years.
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- Container image
- An immutable artifact containing application code, dependencies, metadata, and usually filesystem layers.
- Container runtime
- Software that creates and runs containers from images.
- Image registry
- A repository that stores, versions, scans, and distributes images.
- Orchestrator
- A control system that schedules containers, maintains desired state, scales workloads, and manages updates.
- Managed Kubernetes
- A provider-operated Kubernetes control plane with varying levels of responsibility for nodes, networking, upgrades, and security.
- Platform layer
- Opinionated tooling for policy, identity, developer workflows, networking, observability, governance, and support.
The 2021 report places the Docker and Kubernetes ecosystem at the center of practical container use and names Amazon ECS, Google GKE, Azure Container Instances, and Red Hat OpenShift as major offerings. Docker is commonly used for image building and local workflows; Kubernetes is an orchestration system. Kubernetes clusters can use runtimes other than Docker, and managed services make different trade-offs between portability, cloud integration, and operational effort.
What the findings mean for engineering teams
Containers improve repeatability, not architecture by themselves
An image can standardize dependencies and deployment inputs, but moving a monolith into an image does not create microservices, improve performance, or reduce cost automatically. Modernization may require new application boundaries, data design, failure handling, delivery automation, observability, and team ownership.
Rank #4
Security spans the entire supply chain
Containers typically isolate processes and filesystems while sharing the host kernel. They are not automatically equivalent to virtual machines or a complete boundary for hostile code. Never bake passwords, API keys, certificates, or cloud credentials into Dockerfiles, image layers, repositories, or build logs. Use a secrets-management system and inject credentials at runtime.
Replaceable processes require deliberate state management
Running containers should be treated as disposable. Databases, queues, uploaded files, and other durable data need explicit storage, backup, recovery, and consistency strategies. Manual edits inside a running container disappear when it is replaced and make incidents difficult to reproduce.
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Operational visibility must follow the workload
A container marked “running” is not necessarily healthy. Production systems need meaningful health checks, logs, metrics, traces, resource limits, alerts, and runbooks. The survey’s debugging complaints reinforce that visibility and error handling are application responsibilities, not features granted by packaging alone.
Best Value
A practical container-adoption checklist
- Define the objective. Decide whether the goal is reproducible development, faster releases, isolation, scaling, migration, or another measurable outcome.
- Classify the workload. Record whether it is stateless, stateful, batch, interactive, latency-sensitive, or dependent on specialized hardware or kernel behavior.
- Build a reproducible image. Use a minimal runtime image, multi-stage builds, pinned base images and packages, and image digests where appropriate.
- Secure the supply chain. Scan images, control registry access, retain provenance, patch base images, and establish retention rules.
- Keep secrets and mutable data outside the image. Inject credentials at runtime and design durable storage before production deployment.
- Add operational contracts. Define health checks, startup and shutdown behavior, resource requests and limits, logging, metrics, traces, and alert thresholds.
- Test failure and recovery. Exercise rollbacks, image replacement, node loss, storage recovery, backup restoration, and dependency failures.
- Choose the simplest adequate platform. Compare a local runtime, managed container service, Kubernetes, or a higher-level platform against team capacity and availability requirements.
When Kubernetes is justified
Kubernetes is appropriate when its control-plane and platform capabilities solve a real organizational problem. Evaluate:
- Number of services and independent teams
- Deployment frequency and rollback requirements
- Autoscaling and scheduling needs
- Multi-cluster, hybrid-cloud, or regional requirements
- Availability objectives and compliance controls
- Capacity for platform engineering, upgrades, networking, storage, and security
- Whether portability outweighs deeper integration with one cloud
Managed Kubernetes removes some control-plane work but does not remove responsibility for application security, workload configuration, observability, cost, or recovery. A small team with a few stable services may be better served by a simpler managed container service. Adopting Kubernetes solely because it is fashionable can add more complexity than value.
When containers may be a poor fit
- The application depends heavily on mutable host state.
- Required hardware or kernel behavior cannot be exposed safely by the platform.
- The team cannot staff image patching, registry security, monitoring, and incident response.
- The workload is a simple, stable process for which orchestration adds little value.
- Stateful storage, backup, disaster recovery, or transactional guarantees are undefined.
How much confidence should you place in the report?
The report is strongest as directional practitioner evidence and a guide to recurring implementation questions. It does not establish causal proof that containers produced a business outcome, nor does it represent every software organization. Self-selection, changing question wording, different question-level sample sizes, self-reported answers, and the age of the data all limit universal conclusions. Treat the 2021 numbers as historical observations and the 2023 publication as a contemporary-at-the-time synthesis; verify platform versions, security controls, operating costs, and workload fit with current evidence before making a 2026 decision.
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Where the report fits in a modernization plan
A useful maturity path is:
- Use containers for local development.
- Produce reproducible CI build artifacts.
- Govern registries, provenance, patching, and image retention.
- Deploy to non-production environments.
- Run production workloads with health checks and rollback.
- Add automated scaling and recovery.
- Enforce policy, security, and observability.
- Introduce platform engineering and cost governance where scale justifies it.
This sequence separates adoption from value. A container image is an implementation artifact; modernization succeeds only when the surrounding delivery, reliability, security, and ownership systems work.
The Bottom Line
DZone’s 2023 Containers Trend Report remains a useful historical and practical reference, especially when read alongside the 2021 survey data. Its enduring lesson is that repeatable packaging does not eliminate operational complexity. Use it to frame questions, then validate every platform and modernization choice against current workload characteristics, security requirements, recovery objectives, team capacity, and total operating cost.
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