DZone Trend Reports and Guides provide expert thought leadership and survey insights into recent advancements in technology, how adoption of new tools or methodologies has grown over time, the challenges that exist in executing on the promises of these technologies, and what new advancements are on the horizon.
The proliferation of containers in recent years has increased the speed, portability, and scalability of software infrastructure and deployments across all kinds of application architectures and cloud-native environments. Now, with more and more organizations migrated to the cloud, what's next?
The subsequent need to efficiently manage and monitor containerized environments remains a crucial task for teams. With organizations looking to better leverage their containers — and some still working to migrate out of their own monolithic environments — the path to containerization and architectural modernization remains a perpetual climb.
In DZone's 2023 Containers Trend Report, we will explore the current state of containers, key trends and advancements in global containerization strategies, and constructive content for modernizing your software architecture. This will be examined through DZone-led research, expert community articles, and other helpful resources for designing and building containerized applications.
Seamless communication — that, among other consequential advantages, is the ultimate goal when integrating your software. And today, integrating modern software means fusing various applications and/or systems — many times across distributed environments — with the common goal of unifying isolated data. This effort often signifies the transition of legacy applications to cloud-based systems and messaging infrastructure via microservices and REST APIs.
So what's next? Where is the path to seamless communication and nuanced architecture taking us? Dive into our 2023 Software Integration Trend Report and fill the gaps among modern integration practices by exploring trends in APIs, microservices, and cloud-based systems and migrations. You have to integrate to innovate!
The DevOps movement has paved the way for CI/CD and streamlined application delivery and release orchestration. These nuanced methodologies have not only increased the scale and speed at which we release software, but also redistributed responsibilities onto the developer and led to innovation and automation throughout the SDLC.
DZone's 2023 DevOps: CI/CD, Application Delivery, and Release Orchestration Trend Report explores these derivatives of DevOps by diving into how AIOps and MLOps practices affect CI/CD, the proper way to build an effective CI/CD pipeline, strategies for source code management and branching for GitOps and CI/CD, and more. Our research builds on previous years with its focus on the challenges of CI/CD, a responsibility assessment, and the impact of release strategies, to name a few. The goal of this Trend Report is to provide developers with the information they need to further innovate on their integration and delivery pipelines.
Cloud | container adoption, containers, containerization, microservices, container management, container security, containerized applications | |
Integration | integration, api, api integration, microservices apis, integration architecture, cloud integration, microservice integration | |
DevOps | devops, ci/cd, application release orchestration, application release automation, continuous delivery, continuous deployment, continuous integration, aiops, gitops, iac | |
Security | application security, security, zero trust, microservices security, security breaches, mobile security, cloud security, security and defense, security challenges, secrets management | |
Performance | application performance, monitoring, site reliability, observability, distributed tracing, performance degradation, site reliability engineering, performance management, performance analysis, distributed systems | |
Cloud | kubernetes, kubernetes architecture, kubernetes deployments, kubernetes environment, kubernetes implementation, kubernetes infrastructure, kubernetes monitoring, kubernetes performance, kubernetes patterns, kubernetes scaling | |
Database | databases, database systems, data management, cloud database, data consistency, data quality, dbms, database migration, database trends, relational database | |
Microservices | microservice architecture, containerization, container environments, container orchestration, microservice adoption, microservice design, distributed applications, microservices performance, container security, microservices communication | |
Web Dev | low code, no code, low code automation, low code development, release automation, low code programming, low code challenges | |
Big Data | big data, data pipelines, data warehouse, data analytics, data architecture, data security, data lake, etl, elt, data storage | |
Integration | integration, application integration, enterprise application, api, apis, graphql, rest api | |
DevOps | devops, ci/cd, ci/cd pipeline, application release orchestration, application release automation, continuous delivery, continuous deployment, continuous development, continuous integration, continuous integration and deployment | |
AI | ai, machine learning, artificial intelligence, explainability, mlops | |
Performance | application performance management, apm, application performance, distributed systems, observability, monitoring | |
Cloud | kubernetes, enterprise kubernetes | |
Security | application security, appsec | |
Web Dev | low code development, low-code, no-code and low-code options, no code development, application development | |
DevOps | ci cd, continuous integration, continuous delivery, continuous deployment, devops, devsecops, pipeline management, automation | |
Cloud | containers, container adoption, containerized applications, container configuration, container challenges, container implementation, container management, container performance, container monitoring, container platform | |
Web Dev | web development | |
Integration | api, api management, api design, rest api | |
Database | data persistence, database management system, dbms, database tools, data management, polyglot persistence, relational databases, tree structure, database research, database trends | |
IoT | edge computing, edge architecture, internet of things, edge data collection, cloud computing, trend report, survey findings | |
Cloud | kubernetes, containers, k8s, docker | |
Big Data | data warehousing, big data, analytics, cloud, hybrid | |
Database | database, sql, nosql, big data, trends, graph database | |
DevOps | continuous testing, testing automation, automated testing, testing trends, test automation, test automation framework, test data management, test data management strategy, testing best practices | |
Performance | apm, application performance monitoring, site reliability engineering, aiops, performance engineering, performance trends | |
DevOps | ci/cd, continuous integration, devops, pipeline management, continuous delivery | |
Big Data | big data, analytics, dashboards, data visualization, machine learning | |
Database | database security, sql server, data security breach, cloud | |
Cloud | cloud (add topic), cloud native, microservices, serverless architecture, container management | |
Cloud | kubernetes, continuous integration, continuous delivery, container orchestration, cloud computing | |
DevOps | devops, devsecops, appsec, open source security, security automation | |
Web Dev | web developement | |
AI | ai, machine learning, python machine learning, what is machine learning | |
Microservices | microservices adoption, microservices | |
Cloud | kubernetes, container orchestration | |
DevOps | devops at scale, devops maturity | |
Integration | api management, integration | |
Security | security, application security |