This is a microservices dataset. For an exclusive explanation, please take a look at the paper and at the online appendix: https://github.com/darioamorosodaragona-tuni/Microservices-DatasetIn particular, this file contains all the projects labeled as:- Is it a microservices?: Yes | Uknown- Archived: Yes | NoCopyright:Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s). MSR ’24, April 15–16, 2024, Lisbon, Portugal © 2024 Copyright held by the owner/author(s). ACM ISBN 979-8-4007-0587-8/24/04 https://doi.org/10.1145/3643991.3644890

We are releasing the tracing dataset of four microservice benchmarks deployed on our dedicated Kubernetes cluster consisting of 15 heterogeneous nodes. The dataset is not sampled and is from selected types of requests in each benchmark, i.e., compose-posts in the social network application, compose-reviews in the media service application, book-rooms in the hotel reservation application, and reserve-tickets in the train ticket booking application. The four microservice applications come from DeathStarBench and Train-Ticket. The performance anomaly injector is from FIRM. The dataset was preprocessed from the raw data generated in FIRM's tracing system. The dataset is separated by on which microservice component is the performance anomaly located (as the file name suggests). Each dataset is in CSV format and fields are separated by commas. Each line consists of the tracing ID and the duration (in 10^(-3) ms) of each component. Execution paths are specified in execution_paths.txt in each directory.

In 2021, 85 percent of respondents from large organizations with 5,000 or more employees state currently using microservices. This suggests that larger organizations are perhaps more likely to benefit from and require microservice utilization in their operations.

Global Microservices Architecture Market to hit USD 15.97B by 2029 growing at 21% CAGR. Explore trends, drivers, and competition for strategic insights with TheB usiness Research Company.

The report covers Global Cloud Microservices Market Growth and it is segmented by deployment mode (platforms, services), enterprise size (small and medium enterprises, large enterprises), end-user industry (BFSI, retail, e-commerce, manufacturing, telecommunications, IT and ITes, healthcare, and other end-user industries), and geography (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa). The market sizes and forecasts are in terms of value (USD million) for all the above segments.

In 2021, 37 percent of respondents state using microservices partially. Microservices, or microservice architecture, is an architectural style that enables frequent and reliable delivery of applications.

A dataset containing system and service performance metrics, and user-facing quality metrics generated by running load tests against a microservice-based system under varying environmental and service configuration conditions.

The global microservices architecture market size reached USD 4.2 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 13.1 Billion by 2033, exhibiting a growth rate (CAGR) of 12.7% during 2025-2033. The increased demand for scalability, digital transformation initiatives, expanding e-commerce industry, and ongoing technological advancements are primarily driving the market's growth.

IMARC Group provides an analysis of the key trends in each segment of the global microservices architecture market report, along with forecasts at the global, regional, and country levels from 2025-2033. Our report has categorized the market based on component, deployment type, organization size, and industry vertical.

The size of the Cloud Microservices Industry market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 22.88% during the forecast period.Cloud microservices is an architectural way to build software applications in pieces, divided into smaller services independent of one another. Deployed on cloud platforms, each service can communicate with another with well-defined APIs. Many of its benefits over the classic, traditional architecture that exists in a monolithic state include greater scalability, more flexibility, and increased fault tolerance.Applications are split into several small, independent services that the organizations can deploy and update quicker. It also means that it helps the businesses to be agile toward change in market conditions and customers' requirements. Also, they can be scaled independently, meaning that this system will allow better resource usage, thereby maximizing performance.Microservices also allow for the development of modules, which provides a way for development teams to work independently on various parts of the application. The result could be faster cycles in development and better quality code. Through evolving, this is cloud computing; organizations of all sizes keep driving innovation and leading to digital transformation. Recent developments include: July 2022 - Oracle announced introducing new sovereign cloud zones for the European Union in 2023. Germany and Spain will host the first two EU sovereign cloud regions, which will be logically and physically distinct from the region's current public OCI regions. The new sovereign cloud regions will allow private businesses and government agencies to host sensitive, regulated, or strategically significant regional data and applications., February 2022 - A multi-year Strategic Collaboration Agreement (SCA) between Amazon Web Services, Inc. and UST, a provider of solutions for digital transformation, was completed to develop industry and domain-specific solutions for healthcare, financial services, and telecom. UST will invest in extending its extensive AWS and enterprise digital transformation knowledge. With the help of these solutions, enterprises will get modernized through AWS services.. Key drivers for this market are: Proliferation of the Microservices Architecture, Adoption of Hybrid Cloud Across Various End-user Industries. Potential restraints include: Security and Compliance. Notable trends are: Manufacturing Sector Expected to Register a Significant Growth.

In 2022, 40 percent of respondents currently using microservices state that it is extremely important for organizational operations. This was followed by majority of the respondents at 54 percent agreeing that it is very important in the same year.

Microservice Architecture Market Outlook

The global microservice architecture market size was valued at approximately USD 4.5 billion in 2023 and is projected to reach USD 16.7 billion by 2032, expanding at a compound annual growth rate (CAGR) of 15.6% during the forecast period. This robust growth is driven by the rising demand for scalable and efficient software development frameworks, which enable businesses to respond swiftly to market changes and customer demands. The surge in digital transformation initiatives across various industries and the need for agile and continuous delivery models are pivotal factors propelling this market's expansion.

One of the primary growth enablers for the microservice architecture market is the increasing emphasis on cloud-native application development. As enterprises aim to modernize their IT infrastructure, microservices provide a flexible architecture that facilitates the seamless integration of cloud services. The ability to scale services independently and the decoupled nature of microservices allow firms to innovate rapidly while reducing operational risks. Furthermore, the rise in containerization technology complements microservices, providing a lightweight, virtualized environment that enhances the deployment and management of microservices-based applications.

Moreover, the growing importance of DevOps practices in software development is another significant growth driver for the microservice architecture market. DevOps facilitates a culture of collaboration and integration between development and operations teams, enabling faster and more reliable software releases. Microservices architecture, with its modular structure, aligns perfectly with DevOps principles, fostering a continuous integration and continuous deployment (CI/CD) pipeline. This synergy reduces the time-to-market for new features and applications, encouraging more organizations to adopt microservices for their software development needs.

Additionally, the increasing need for business agility and flexibility in digital operations is contributing to the market's expansion. As markets become more competitive, businesses strive to improve their responsiveness to consumer demands and market trends. Microservices architecture supports this need by allowing for quick updates and enhancements of specific application components without affecting the entire system. This architecture also facilitates easier fault isolation and recovery, thus enhancing system reliability and uptime. Consequently, businesses across various sectors are increasingly investing in microservices to maintain competitive advantage and improve operational efficiency.

Regionally, North America holds the largest share in the microservice architecture market, driven by the presence of leading technology firms and software development companies. The region's early adoption of advanced technologies and its mature IT infrastructure support the rapid integration of microservices. Meanwhile, the Asia Pacific region is expected to witness the highest growth rate, with a burgeoning IT industry and increasing investments in cloud services and digital transformation initiatives. European countries are also progressively adopting microservices, particularly in the BFSI and healthcare sectors, due to stringent compliance requirements and the need for innovative customer solutions.

The emergence of Cloud Microservices Platform is revolutionizing how businesses approach software development and deployment. By leveraging cloud-based microservices, organizations can achieve unparalleled scalability and flexibility, allowing them to respond to market demands with agility. These platforms provide a comprehensive suite of tools and services that streamline the development process, enabling faster time-to-market for new applications and features. As businesses increasingly migrate to the cloud, the integration of microservices into their IT strategies is becoming a critical factor for success. The ability to dynamically scale resources and optimize costs makes cloud microservices platforms an attractive option for enterprises aiming to enhance their digital capabilities.

Component Analysis

The microservice architecture market is segmented by component into platform and services. The platform segment is a fundamental enabler of microservices adoption, providing the necessary tools and solutions to design, develop, and deploy microservice-based applications. Platforms ofte

The global demand for Microservices Architecture Market is presumed to reach the valuation of nearly USD XX MN by 2028 from USD XX MN in 2021 with a CAGR of XX% during the period of 2022-2028.

Microservice architecture is a software development technique that structures an application as a collection of services. It focusses on building single-function modules with well-defined interfaces and op

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Cloud Microservices Market Size 2024-2028

The cloud microservices market size is forecast to increase by USD 2.78 billion at a CAGR of 34.73% between 2023 and 2028. The market is experiencing significant growth, particularly in sectors such as healthcare, driven by the increasing use of mobile devices like smartphones and tablets for accessing mobile apps. This trend is being fueled by the cloud microservices architecture, which enables faster and more efficient development and deployment of applications. However, the adoption of cloud microservices also presents challenges, particularly for organizations in managing and integrating these services. The report on market trends and analysis highlights the growth factor of digital transformations and identifies the manufacturing sector as a key area of expansion. Despite these opportunities, there are organizational challenges that must be addressed to effectively manage microservices in a DevOps environment.

What will be the Size of the Market During the Forecast Period?

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Cloud microservices architecture has emerged as a game-changer in the IT landscape, offering numerous benefits such as scalability, flexibility, and faster time-to-market. This architecture is revolutionizing the way businesses operate, particularly in sectors like telecommunications, consumer goods, healthcare, and IT. Microservices, a design approach where applications are built as a collection of small, independent services, are becoming increasingly popular. These services communicate with each other using well-defined programming interfaces, enabling seamless integration and efficient communication. Service meshes, a component of microservices architecture, further enhance communication between services, ensuring reliable and secure interactions. The adoption of cloud microservices architecture is not limited to large enterprises. Developing economies are also embracing this technology, as digitalization continues to penetrate various industries. The shift from monolithic applications to microservices is a significant step towards modernizing IT infrastructure. Cloud microservices are making a significant impact on various sectors. In telecommunications, they are being used to improve network performance and reduce operational costs.

Further, in consumer goods, they help companies deliver personalized experiences to customers through mobile apps on smartphones and tablets. The healthcare industry, in particular, is expected to benefit significantly from cloud microservices, as it can help streamline processes, improve patient care, and ensure data security and privacy. Consulting services and integration services play a crucial role in the adoption and implementation of cloud microservices architecture. They provide expertise and guidance to businesses looking to transition from traditional IT infrastructure to microservices. These services ensure a smooth transition, minimizing disruptions and maximizing the benefits of this technology. In conclusion, cloud microservices architecture is transforming the IT landscape by offering scalability, flexibility, and faster time-to-market. Its adoption is widespread across various industries, from telecommunications to healthcare, and its benefits are driving digitalization efforts in developing economies.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Component

  Platform
  Services


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    Japan


  Middle East and Africa



  South America

By Component Insights

The platform segment is estimated to witness significant growth during the forecast period. In the United States, the market is experiencing significant growth, particularly in sectors such as healthcare, retail, and manufacturing. The adoption of mobile-based technologies, including smartphones and tablets, has led to an increase in the use of mobile apps, which in turn has fueled the demand for cloud microservices architecture. Cloud microservices platforms have become essential for businesses seeking to enhance productivity, improve employee satisfaction, and reduce operational costs.

Overall, the market is poised for continued growth, driven by the increasing adoption of digital transformation initiatives and the need for agile and scalable IT infrastructure. From a business perspective, implementing cloud microservices can lead to faster time-to-market, greater flexibility, and improved customer experience.

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The platform segment was valued at USD 288.30 million in 2018 and showed a gradual increase du

This is the dataset for the paper: Understanding the Issues, Their Causes and Solutions in Microservices Systems: An Empirical Study. The dataset is recorded in an MS Excel file which contains the following Excel sheets, and the description of each sheet is briefly presented below.

(1) Selected Systems

contains the 15 selected open-source microservices systems with the color code and URL of each system.

(2) Raw Data

contains the information of initially retrieved 10,222 issues, including issue titles, issue links, issue open date, issue closed date, and the number of participants in each issue discussion.

(3) Screened Issues

contains the issues that meet the initial selection criteria (i.e., 5,115 issues) and the issues that do not meet the initial selection criteria (i.e., 5,107 issues).

(4) Selected Issues (Round 1)

contains the list of 5,115 issues that meet the initial selection criteria.

(5) Selected Issues (Round 2)

contains the issues related to RQs (i.e., 2,641 issues) and the issues not related to RQs (i.e., 2,474 issues).

(6) Selected Issues

contains the list of selected 2,641 issues, which were used to answer the RQs.

(7) Initial Codes

contains the initial codes for identifying the types of issues, causes, and solutions. We used these codes to further generate the subcategories and categories of issues, causes, and solutions.

(8) Interview Results

contains the results of interviews that we conducted to confirm and improve the developed taxonomies of issues, causes, and solutions.

(9) Issue Taxonomy

contains the detailed issue taxonomy consisting of 19 categories, 54 subcategories, and 402 types of issues.

(10) Cause Taxonomy

contains the detailed cause taxonomy consisting of 8 categories, 26 subcategories, and 228 types of causes.

(11) Solution Taxonomy

contains the detailed solution taxonomy consisting of 8 categories, 32 subcategories, and 177 types of solutions.

(12) Survey Questionnaire

contains the survey questions we asked from microservices practitioners through a Web-based survey to validate our taxonomies of issues, causes, and solutions.

This is the dataset for the paper: Understanding the Issues, Their Causes and Solutions in Microservices Systems: An Empirical Study. The dataset is recorded in an MS Excel file which contains the following Excel sheets, and the description of each sheet is briefly presented below.

(1) Selected Systems

contains the 15 selected open source microservices systems with the color code and URL of each system.

(2) Raw Data

contains the information of initially retrieved 10,222 issues, including issue titles, issue links, issue open date, issue closed date, and the number of participants in each issue discussion.

(3) Screened Issues

contains the issues that meet the initial selection criteria (i.e., 5,115 issues) and the issues that do not meet the initial selection criteria (i.e., 5,107 issues).

(4) Selected Issues (Round 1)

contains the list of 5,115 issues that meet the initial selection criteria.

(5) Selected Issues (Round 2)

contains the issues related to RQs (i.e., 2,641 issues) and the issues not related to RQs (i.e., 2,474 issues).

(6) Selected Issues

contains the list of selected 2,641 issues, which were used to answer the RQs.

(7) Initial Codes

contains the initial codes for identifying the types of issues, causes, and solutions. We used these codes to further generate the subcategories and categories of issues, causes, and solutions.

(8) Interview Questionnaire

contains the interview questions we asked microservices practitioners to identify any missing issues, causes, and solutions, as well as to improve the proposed taxonomies.

(9) Interview Results

contains the results of interviews that we conducted to confirm and improve the developed taxonomies of issues, causes, and solutions.

(10) Survey Questionnaire

contains the survey questions we asked microservices practitioners through a Web-based survey to validate our taxonomies of issues, causes, and solutions.

(11) Issue Taxonomy

contains the detailed issue taxonomy consisting of 19 categories, 54 subcategories, and 402 types of issues.

(12) Cause Taxonomy

contains the detailed cause taxonomy consisting of 8 categories, 26 subcategories, and 228 types of causes.

(13) Solution Taxonomy

contains the detailed solution taxonomy consisting of 8 categories, 32 subcategories, and 177 types of solutions.

This is the dataset for replicability for the article "Detection Strategies for Microservice Security Tactics." It provides the code needed to replicate the study in the article and the model data set of 10 system models and 20 variants of those models.

The abstract of the article is:

Microservice architectures are widely used today to implement distributed systems. Securing microservice architectures is challenging because of their polyglot nature, continuous evolution, and various security concerns relevant to such architectures. This article proposes a novel, model-based approach providing detection strategies to address the automated detection of security tactics (or patterns and best practices) in a given microservice architecture decomposition model. Our novel detection strategies are metrics-based rules that decide conformance to a security recommendation based on a statistical predictor. The proposed approach models this recommendation using Architectural Design Decisions (ADDs). We apply our approach for four different security-related ADDs on access management, traffic control, and avoiding plaintext sensitive data in the context of microservice systems. We then apply our approach to a model data set of 10 open-source microservice systems and 20 variants of those systems. Our results are detection strategies showing a very low bias, a very high correlation, and a low prediction error in our model data set.

The dataset is based on a dataset from a previous article: https://zenodo.org/record/6424722

In 2021, 45 percent of respondents state that data analytics/business intelligence applications use microservices. Microservices are a cloud native architectural approach that typically have their own technology stack, such as data management model and database, and can communicate with one another via APIs.

According to Cognitive Market Research, the global Cloud Microservices market size will be USD 1921 million in 2024 and will expand at a compounded annual growth rate or CAGR of 25.1% from 2024 to 2031. Market Dynamics of Cloud Microservices Market Key Drivers for Cloud Microservices Market Growth in Cloud Microservices Infrastructure - Businesses are adopting cutting-edge technology like analytics for big data, cloud computing, digital storefronts, and public media platforms as a result of the growth of online marketplaces. Online shops and e-commerce providers run the danger of losing out to their customers as a result of a bad customer experience. Because of these many advantages, cloud microservices platforms have been widely adopted by the e-commerce and retail industries. Cloud microservices design divides systems into manageable services that may advance more quickly, hence addressing the issues of speed and productivity. Key Restraints for Cloud Microservices Market The complexity of cloud microservices design and the requirement for in-depth knowledge pose a serious threat to the Cloud Microservices industry. The market also faces the Anticipated Effect of an Economic Downturn on Product Availability and Price. Introduction of the Cloud Microservices Market A cloud microservice is a group of loosely connected services and a software development technique. The medical device industry is seeing a number of cutting-edge innovations gain traction. The Worldwide medical device technology market is being driven by advancements in medical equipment technology and cardiovascular disease. The market for cloud microservices is expanding due to the growing popularity of mobile applications. The need for mobile apps has grown dramatically as more and more individuals conduct their daily activities on smartphones and tablets.

Cloud Microservices Market size was valued at USD 1.59 Billion in 2023 and is poised to grow from USD 1.95 Billion in 2024 to USD 9.98 Billion by 2032, growing at a CAGR of 22.6% during the forecast period (2025-2032).

The global Cloud Microservices Solution market is projected to grow from USD XXX million in 2025 to USD XXX million by 2033, at a CAGR of XX%. This growth is attributed to increasing adoption of cloud computing, growth of big data, need for agility and scalability, and rise in demand for real-time applications. However, security concerns, lack of skilled professionals, and data integration challenges are some of the factors restraining the market growth. The market is segmented into type (public, private, hybrid) and application (data analytics, database applications, customer relationship management, others). The public cloud segment is expected to hold the largest market share during the forecast period. This is due to its cost-effectiveness, scalability, and flexibility. The data analytics segment is expected to grow at the highest CAGR during the forecast period. This is due to the increasing adoption of data analytics in various industries, such as healthcare, retail, and manufacturing. The Asia Pacific region is expected to be the fastest growing region during the forecast period. This is due to the increasing adoption of cloud computing in countries such as China, India, and Japan.