Kubernetes in the Enterprise
Redefining the Container Ecosystem
Kubernetes: it’s everywhere . To fully capture or articulate the prevalence and far-reaching impacts of this monumental platform is no small task — from its initial aims to manage and orchestrate containers to the more nuanced techniques to scale deployments, leverage data and AI/ML capabilities, and manage observability and performance — it’s no wonder we, DZone, research and cover the Kubernetes ecosystem at great lengths each year.
In our 2023 Kubernetes in the Enterprise Trend Report, we further dive into Kubernetes over the last year, its core usages as well as emerging trends (and challenges), and what these all mean for our developer and tech community. Featured in this report are actionable observations from our original research, expert content written by members of the DZone Community, and other helpful resources to help you go forth in your organizations, projects, and repos with deeper knowledge of and skills for using Kubernetes.
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Cloud
kubernetes
Data Pipelines
Investigating the Modern Data Stack
Enter the modern data stack: a technology stack designed and equipped with cutting-edge tools and services to ingest, store, and process data. No longer are we using data only to drive business decisions; we are entering a new era where cloud-based systems and tools are at the heart of data processing and analytics. Data-centric tools and techniques — like warehouses and lakes, ETL/ELT, observability, and real-time analytics — are democratizing the data we collect. The proliferation of and growing emphasis on data democratization results in increased and nuanced ways in which data platforms can be used. And of course, by extension, they also empower users to make data-driven decisions with confidence.
In our 2023 Data Pipelines Trend Report, we further explore these shifts and improved capabilities, featuring findings from DZone-original research and expert articles written by practitioners from the DZone Community. Our contributors cover hand-picked topics like data-driven design and architecture, data observability, and data integration models and techniques.
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Big Data
data pipelines
Database Systems
Architecture Advancements and Data Storage Reimagined
This data-forward, analytics-driven world would be lost without its database and data storage solutions. As more organizations continue to transition their software to cloud-based systems, the growing demand for database innovation and enhancements has climbed to novel heights. We are upon a new era of the "Modern Database," where databases must both store data and ensure that data is prepped and primed securely for insights and analytics, integrity and quality, and microservices and cloud-based architectures.
In our 2023 Database Systems Trend Report, we explore these database trends, assess current strategies and challenges, and provide forward-looking assessments of the database technologies most commonly used today. Further, readers will find insightful articles — written by several of our very own DZone Community experts — that cover hand-selected topics, including what "good" database design is, database monitoring and observability, and how to navigate the realm of cloud databases.
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Database
databases
DevOps
automated testing, test automation
Web Dev
web dev, low code, automation, java, javascript, web app development, mobile app development, no code, workflow automation, technical debt
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
CI/CD, Application Delivery, and Release Orchestration
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.
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DevOps
devops, ci/cd, application release orchestration, application release automation, continuous delivery, continuous deployment, continuous integration, aiops, gitops, iac
Enterprise Application Security
Building Secure and Resilient Applications
Data breaches, ransomware attacks, and other security vulnerabilities have become the norm in recent years. Hackers have become shrewder. And with that, development teams bear the responsibility of ensuring that all stages of the SDLC have strong security.
DZone's 2022 Trend Report, Enterprise Application Security: Building Secure and Resilient Applications , focuses on key factors of security practices including supply chain security, principles of zero-trust security, how to secure mobile applications, common DevSecOps practices, and what to do after your organization experiences a security breach. Our research dives into sentiments on perceived application security risks, development techniques for securing applications, and where the role of security lies for teams within today's organizational structures. The goal of this Trend Report is to equip developers with the tools, best practices, and advice they need to help implement security at every stage of the SDLC.
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Security
application security, security, zero trust, microservices security, security breaches, mobile security, cloud security, security and defense, security challenges, secrets management
Performance and Site Reliability
Observability for Distributed Systems
The concept of observability was first leveraged over 110 years ago. It was initially known as telemetry, and in 1912, it used the city of Chicago’s telephone lines to transmit data from the electric power plants to a central control station. Today, modern observability is still very much focused on the interplay of data to yield informed inputs and outputs of systems. Sprinkle in site reliability engineering (SRE), and there should be little to no performance issues in distributed systems, right? In an ideal world, yes, but in reality, there is still work to be done.
DZone’s 2022 Trend Report, Performance and Site Reliability: Observability for Distributed Systems , takes a holistic view of where developers stand in their observability practices. Through the research and expert-contributed articles, it offers a primer on distributed systems observability, including how to build an open-source observability toolchain, dives into distributed tracing, and takes a look at prospective performance degradation patterns. It also provides insight into how to create an SRE practice, as well as tactics to conduct an effective incident retrospective. The goal of this Trend Report is to offer a developer-focused assessment of what the current state of observability is and how it fits in with modern performance practices.
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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 Systems
Strategies for Migration, Management, and Data Quality
Every modern application and organization collects data. With that, there is a constant demand for database systems to expand, scale, and take on more responsibilities. Database architectures have become more complex, and as a result, there are more implementation choices. An effective database management system allows for quick access to database queries, and an organization can efficiently make informed decisions. So how does one effectively scale a database system and not sacrifice its quality?
Our Database Systems Trend Report offers answers to this question by providing industry insights into database management selection and evaluation criteria. It also explores database management patterns for microservices, relational database migration strategies, time series compression algorithms and their applications, advice for the best data governing practices, and more. The goal of this report is to set up organizations for scaling success.
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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
Data Pipelines
Ingestion, Warehousing, and Processing
Data is at the center of everything we do. As each day passes, more and more of it is collected. With that, there’s a need to improve how we accept, store, and interpret it. What role do data pipelines play in the software profession? How are data pipelines designed? What are some common data pipeline challenges? These are just a few of the questions we address in our research.
In DZone’s 2022 Trend Report, "Data Pipelines: Ingestion, Warehousing, and Processing," we review the key components of a data pipeline, explore the differences between ETL, ELT, and reverse ETL, propose solutions to common data pipeline design challenges, dive into engineered decision intelligence, and provide an assessment on the best way to modernize testing with data synthesis. The goal of this Trend Report is to provide insights into and recommendations for the best ways to accept, store, and interpret data.
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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
Enterprise AI
Machine Learning, Design Paradigms, and Operational Impact
In recent years, artificial intelligence has become less of a buzzword and more of an adopted process across the enterprise. With that, there is a growing need to increase operational efficiency as customer demands arise. AI platforms have become increasingly more sophisticated, and there has become the need to establish guidelines and ownership.
In DZone’s 2022 Enterprise AI Trend Report, we explore MLOps, explainability, and how to select the best AI platform for your business. We also share a tutorial on how to create a machine learning service using Spring Boot, and how to deploy AI with an event-driven platform. The goal of this Trend Report is to better inform the developer audience on practical tools and design paradigms, new technologies, and the overall operational impact of AI within the business.
This is a technology space that's constantly shifting and evolving. As part of our December 2022 re-launch, we've added new articles pertaining to knowledge graphs, a solutions directory for popular AI tools, and more.
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AI
ai, machine learning, artificial intelligence, explainability, mlops
Application Performance Management
As enterprise applications increasingly adopt distributed systems and cloud-based architectures, the complexity of application performance management (APM) has grown accordingly. To address this new set of challenges, traditional APM is making a push towards intelligent automation (AIOps), self-healing applications, and a convergence of ITOps and DevOps.
DZone’s 2021 Application Performance Management Trend Report dives deeper into the management of application performance in distributed systems, including observability, intelligent monitoring, and rapid, automated remediation. It also provides an overview of how to choose an APM tool provider, common practices for self-healing, and how to manage pain points that distributed cloud-based architectures cause. Through research and thoughtfully curated articles, this Trend Report offers a current assessment of where real enterprises are in their journey to design APM approaches for modern architectures.
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Performance
application performance management, apm, application performance, distributed systems, observability, monitoring
Cloud
kubernetes, enterprise kubernetes
Security
application security, appsec
Low-Code Development
Empowering Business Users, Enabling Developers
Development speed, engineering capacity, and technical skills are among the most prevalent bottlenecks for teams tasked with modernizing legacy codebases and innovating new solutions. In response, an explosion of “low-code” solutions has promised to mitigate such challenges by abstracting software development to a high-level visual or scripting language used to build integrations, automate processes, construct UI, and more. While many tools aim to democratize development by reducing the required skills, others seek to enhance developer productivity by eliminating needs such as custom code for boilerplate app components.
Over the last decade, the concept of low code has matured into a category of viable solutions that are expected to be incorporated within mainstream application development. In this Trend Report, DZone examines advances in the low-code space, including developers' perceptions of low-code solutions, various use cases and adoption trends, and strategies for successful integration of these tools into existing development processes.
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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
Data Persistence
At the core of every modern application is an endless, diverse stream of data and with it, an inherent demand for scalability, increased speed, higher performance, and strengthened security. Although data management tools and strategies have matured rapidly in recent years, the complexity of architectural and implementation choices has intensified as well, creating unique challenges — and opportunities — for those who are designing data-intensive applications.
DZone’s 2021 Data Persistence Trend Report examines the current state of the industry, with a specific focus on effective tools and strategies for data storage and persistence. Featured in this report are observations and analyses of survey results from our research, as well as an interview with industry leader Jenny Tsai-Smith. Readers will also find contributor insights written by DZone community members, who cover topics ranging from microservice polyglot persistence scenarios to data storage solutions and the Materialized Path pattern. Read on to learn more!
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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
Data Warehousing
Data warehousing has become an absolute must in today’s fast-paced, data-driven, modern business landscape. As the demand for informed business decisions and analytics continues to skyrocket, data warehouses are gaining in popularity, especially as more and more businesses adopt cloud-based data warehouses.
DZone’s 2020 Data Warehousing Trend Report explores data warehouse adoption across industries, including key challenges, cloud storage, and common data tools such as data lakes, data virtualization, and ETL/ELT. In this report, readers will find original research, an exclusive interview with "the father of data warehousing," and additional resources with helpful tips, best practices, and more.
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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