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and the challenges developers face in observability projects Observability in software development The aim of this report is to provide an overview of the current state of observability through the eyes of DevOps professionals. We will begin by investigating the adoption of application performance monitoring and observability technologies, and discuss how this is affected by region, company size, and experience levels of the developers. Following this, we will take a deep dive into the most prominent challenges that developers face when setting up and maintaining observability projects. Access the Full Preview About this Report and the challenges developers face in observability projects Key Questions Answered What are the features of a high quality API according to developers? What are developers concerned with in their use of third-party APIs? According to developers what are the key security risks in the use of third-party APIs? Click to expand ACCESS THE FULL PREVIEW Methodology This report is based on data collected from over 15,000 professional developers who indicated that they use DevOps technologies in the 23rd edition of our Developer Nation survey, which was fielded in Q3 2022. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT All Insights

A focus on open and open-source AI models Developers’ experience with integrating AI functionality This report investigates the state of integration of open and fully open-source artificial intelligence (AI) models by developers who add AI functionality to their applications. While focusing on the broader picture, we explore the types of functionalities developers use these models for, why they choose them over their proprietary alternatives, and the challenges they face. In addition to this, we also take a brief look at the reason why developers might avoid using open or open-source models in their applications. Access the Full Preview About this Report A focus on open and open-source AI models Key Questions Answered When and how security measures are being implemented? What type of developers are implementing them? Click to expand ACCESS THE FULL PREVIEW Methodology The report is based on data collected in the 27th edition of SlashData’s global Developer Nation survey, which was fielded between June and July 2024. This survey reached over 2,000 developers who add AI functionality to their applications and answered questions about their experiences with open and open-source models. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT All Insights

In this report, we take a look at the current landscape of network APIs. We begin by exploring the percentage of developers using network APIs, their regional distribution, and the types of projects they are working on. Next, we delve into the various types of network APIs developers use and examine how professional roles and company size influence network API adoption. In chapter three, our attention turns to the challenges developers face when using network APIs and how these challenges vary by company size. Finally, we reveal developers' preferences for network API pricing and explore how preferred models vary by region and company size. All Insights Landscape of network APIs Exploring developer adoption, challenges, and preferred pricing models for network APIs Access the Full Preview About this Report In this report, we take a look at the current landscape of network APIs. We begin by exploring the percentage of developers using network APIs, their regional distribution, and the types of projects they are working on. Next, we delve into the various types of network APIs developers use and examine how professional roles and company size influence network API adoption. In chapter three, our attention turns to the challenges developers face when using network APIs and how these challenges vary by company size. Finally, we reveal developers' preferences for network API pricing and explore how preferred models vary by region and company size. Key Questions Answered What types of functionalities do you add to your applications using open or open-source ML/AI models? What are your main reasons for using open or open-source ML/AI models to add AI functionality to your applications? Do you face any challenges when using open or open-source ML/AI models in your applications? What are your main reasons for not integrating open or open-source ML/AI models in your applications? Click to expand ACCESS THE FULL PREVIEW Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT Methodology The report is based on data collected in the 27th edition of our Developer Nation survey, which was fielded between June and July 2024. This survey reached more than 9,000 respondents from 130+ countries around the world.

Application programming interfaces (APIs) have revolutionisedthe way software is created, enabling developers to use readily available solutions instead of spending time and effort building every piece of their application themselves. In this report, we explore the current state of the global landscape of APIs from the developers' perspective. We look at how many developers use APIs and what sets them apart from those who don't. Moreover, we dive deeper into the specific categories of third-party APIs that developers use the most, explore what developers are looking for in APIs, and what challenges they are facing, with a focus on security. All Insights Concerns, challenges, and use of third-part APIs A look at third party APIs: usage, characteristics, security. Access the Full Preview About this Report Application programming interfaces (APIs) have revolutionisedthe way software is created, enabling developers to use readily available solutions instead of spending time and effort building every piece of their application themselves. In this report, we explore the current state of the global landscape of APIs from the developers' perspective. We look at how many developers use APIs and what sets them apart from those who don't. Moreover, we dive deeper into the specific categories of third-party APIs that developers use the most, explore what developers are looking for in APIs, and what challenges they are facing, with a focus on security. Key Questions Answered What are the features of a high quality API according to developers? What are developers concerned with in their use of third-party APIs? According to developers what are the key security risks in the use of third-party APIs? Click to expand ACCESS THE FULL PREVIEW Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT Methodology The report is based on data collected from over 22,500 developers who answered questions related to the use of APIs in the 24th edition of our Developer Economics survey, which was fielded in Q1 of 2023.

In this report, we will explore the different practices and approaches used by developers involved in data and machine learning (ML) operations (DataOps/MLOps), and how these practices are used together. We will also look at how differentDataOps/MLOp practices dictate the use of different backend and ML technologies, as well as ways of storing data. Finally, we will show how developers' motivations and target audiences are impacted bytheirDataOps/MLOp practices. All Insights Emerging practices in MLops / DataOps An overview of current and emerging trends in MLOps/DataOps Access the Full Preview About this Report In this report, we will explore the different practices and approaches used by developers involved in data and machine learning (ML) operations (DataOps/MLOps), and how these practices are used together. We will also look at how differentDataOps/MLOp practices dictate the use of different backend and ML technologies, as well as ways of storing data. Finally, we will show how developers' motivations and target audiences are impacted bytheirDataOps/MLOp practices. Key Questions Answered What MLOps/DataOps practices are developers using, and using in combination? What are the differences in MLOps/DataOps practices between developers in different sectors? What impact does how the data is stored have on MLOps/DataOps practices? How does the amount of data ML/data scientists use for training their models have on their choice and use of MLOps/DataOps practices? How does the motivation of those involved in ML/AI have on their choice and use of MLOps/DataOps practices? Click to expand ACCESS THE FULL PREVIEW Methodology Data for the report comes from the 23rd edition of our Developer Nation survey, which ran between June 2022 and August 2022. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

To design effective outreach campaigns for IoT developers in general, it is crucial to know where they go to learn, get quick fixes, and stay up to date with new technologies. This report explores how and where IIoTand CE developers can be reached while understanding the information sources they prefer and how they use them. Through this, we aim to give actionable insights that you can use to formulate your strategies for vendor-developer engagement through effective marketing campaigns and maintaining a strong online presence. All Insights How and where to reach IoT developers Understanding where IoT developers go to learn, get quick fixes, and get updates about new technologies Access the Full Preview About this Report To design effective outreach campaigns for IoT developers in general, it is crucial to know where they go to learn, get quick fixes, and stay up to date with new technologies. This report explores how and where IIoTand CE developers can be reached while understanding the information sources they prefer and how they use them. Through this, we aim to give actionable insights that you can use to formulate your strategies for vendor-developer engagement through effective marketing campaigns and maintaining a strong online presence. Key Questions Answered Where do IIoT and CE developers go to find information and stay up to date? How do geographic regions and experience in software development affect the choice of information sources? Which resources do IIoT and CE developers use to get quick fixes? Which resources do IIoT and CE developers use to get updates about new technologies? Which resources do IIoT and CE developers use as learning resources? How does age influence IIoT and CE developers’ choice of information sources to get updates on new technologies? Click to expand ACCESS THE FULL PREVIEW Methodology The report is based on data collected from ~1,500 IIoT and CE developers, respectively, answering our detailed IoT questions in the 25th edition of our Developer Nation survey, which was fielded between June and August 2023. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: ! !

Key Questions Answered How satisfied are developers with their jobs? Which work-related factors are associated with greater workplace contentment? Click to expand ACCESS THE FULL REPORT Methodology The 26th edition of the Developer Nation survey reached more than 10,000 respondents from 135 countries around the world. This research report delves into key developer trends for Q1 2024 and beyond. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT All Reports Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME How happy are developers with their jobs? A spotlight on developer satisfaction at work Access the Full Report About this Report In this report, we investigate developer satisfaction in theircurrent job. We examine in what contexts developers feel satisfied and what are some of the work-related factors that are associated with greater workplace contentment.

Key Questions Answered How do developers engage with different emerging technologies, from generative AI and AI-assisted coding to Wi-Fi sensing? How well-compensated do developers feel? How many developers use each of the mainstream programming languages in Q1 2023? What are the key characteristics that make up a high-quality API, according to software developers? How has the representation of female coders in the software development community evolved over time? Which markets and types of projects do embedded developers target? Click to expand ACCESS THE FULL REPORT Methodology The 24th edition of the Developer Nation global survey ran from December 2022 to February 2023 and reached close to 26,000 developers from 166 countries. This research report delves into key developer trends for Q1 2023 and beyond Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT All Reports Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME 24th edition - State of the Developer Nation Key Insights from our Q1 2023 survey of 25,000+ developers Access the Full Report About this Report The report focusses on six major topics -each with its own visualisations- showing how the data lends insight into the developer community: - Emerging technologies that capture developers’ imagination - How well-paid do developers feel? - Language communities - An update - What makes up a high-quality API? - On the role of female coders in software development - Embedded software development - An overview

The 26th edition of the Developer Nation survey reached more than 10,000 respondents from 135 countries around the world, which ran between December 2023 and February 2024. This research report delves into key developer trends for Q1 2024 and beyond. How developers use AI-assisted development tools Exploring adoption, effectiveness and challenges for AI-assisted tools. Access the Full Preview All Insights About this Report The 26th edition of the Developer Nation survey reached more than 10,000 respondents from 135 countries around the world, which ran between December 2023 and February 2024. This research report delves into key developer trends for Q1 2024 and beyond. Key Questions Answered How does the likelihood of using AI tools vary across developers with differing experience levels? What are the common use cases for AI-assisted development tools? How effective do developers perceive AI to be in accomplishing various tasks? What are the key drivers and barriers that motivate and impede developers when incorporating AI tools into their workflow? Click to expand ACCESS THE FULL PREVIEW Methodology This report investigates how developers use artificial intelligence (AI)-assisted development tools. We start by looking at how many developers use these AI tools to help them with their projects and exploring the tasks they use them for. This report also covers the main reasons why developers use AI-assisted development tools and their effectiveness. Finally, we investigate the challenges developers face when using these tools in their projects. To better understand the current state of AI-assisted development tools, we also break down AI usage information by developer demographics such as experience and use cases throughout the report. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

Application security is critical as it serves to protect against a variety of threats, including malicious attacks that compromise application functionality, unauthorised access to sensitive information, the injection of malicious code, and/or data-leaks. The shift-left approach to application security is a strategy that aims to encourage security checks from the early stages of the software development process. In our analysis we examine how and when – during the software development process – security measures are implemented. We additionally examine what factors contribute to developers implementing various types of security and the amount of security checks they take. All Insights Applications and shift-left security Exploring the application security landscape Access the Full Preview About this Report Application security is critical as it serves to protect against a variety of threats, including malicious attacks that compromise application functionality, unauthorised access to sensitive information, the injection of malicious code, and/or data-leaks. The shift-left approach to application security is a strategy that aims to encourage security checks from the early stages of the software development process. In our analysis we examine how and when – during the software development process – security measures are implemented. We additionally examine what factors contribute to developers implementing various types of security and the amount of security checks they take. Key Questions Answered How many DevOps professionals use application performance monitoring and observability technologies? Who uses application performance monitoring and observability technologies? What challenges do DevOps professionals face in observability projects? How do these challenges differ by experience, company size, and region? Click to expand ACCESS THE FULL PREVIEW Methodology The report is based on data collected from 14,000+ developers involved in DevOps-related activities who told us about the approaches they use to secure their applications in the 23rd edition of our Developer Nation survey, which was fielded between June and August 2022. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

This report investigates the state of integration of open and fully open-source artificial intelligence (AI) models by developers who add AI functionality to their applications. While focusing on the broader picture, we explore the types of functionalities developers use these models for, why they choose them over their proprietary alternatives, and the challenges they face. In addition to this, we also take a brief look at the reason why developers might avoid using open or open-source models in their applications. All Insights Developers’ experience with integrating AI functionality A focus on open and open-source AI models Access the Full Preview About this Report This report investigates the state of integration of open and fully open-source artificial intelligence (AI) models by developers who add AI functionality to their applications. While focusing on the broader picture, we explore the types of functionalities developers use these models for, why they choose them over their proprietary alternatives, and the challenges they face. In addition to this, we also take a brief look at the reason why developers might avoid using open or open-source models in their applications. Key Questions Answered When and how security measures are being implemented? What type of developers are implementing them? Click to expand ACCESS THE FULL PREVIEW Methodology The report is based on data collected in the 27th edition of SlashData’s global Developer Nation survey, which was fielded between June and July 2024. This survey reached over 2,000 developers who add AI functionality to their applications and answered questions about their experiences with open and open-source models. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

Data for the report comes from the 23rd edition of our Developer Nation survey, which ran between June 2022 and August 2022. Landscape of cloud-native development An overview of the demographics and technological choices of cloud-native developers Access the Full Preview All Insights About this Report Data for the report comes from the 23rd edition of our Developer Nation survey, which ran between June 2022 and August 2022. Key Questions Answered Who and where are cloud-native developers? What choices are cloud-native developers making for their cloud service providers? Which cloud-native specific technologies are being used, and what is their popularity? Click to expand ACCESS THE FULL PREVIEW Methodology This report looks into the demographics and firmographics of cloud-native developers, as well as looking into their choice of programming languages and cloud service providers. These are all contrasted against backend developers who are not cloud-native developers. Finally, we investigate the specific technologies at the centre of cloud-native development and their popularity among cloud-native developers. This includes container orchestration technologies, cloud functions, and serverless computing. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

Application programming interfaces (APIs) have revolutionisedthe way software is created, enabling developers to use readily available solutions instead of spending time and effort building every piece of their application themselves. In this report, we explore the current state of the global landscape of APIs from the developers' perspective. We look at how many developers use APIs and what sets them apart from those who don't. Moreover, we dive deeper into the specific categories of third-party APIs that developers use the most, explore what developers are looking for in APIs, and what challenges they are facing, with a focus on security. Concerns, challenges, and use of third-part APIs A look at third party APIs: usage, characteristics, security. Access the Full Preview All Insights About this Report Application programming interfaces (APIs) have revolutionisedthe way software is created, enabling developers to use readily available solutions instead of spending time and effort building every piece of their application themselves. In this report, we explore the current state of the global landscape of APIs from the developers' perspective. We look at how many developers use APIs and what sets them apart from those who don't. Moreover, we dive deeper into the specific categories of third-party APIs that developers use the most, explore what developers are looking for in APIs, and what challenges they are facing, with a focus on security. Methodology The report is based on data collected from over 22,500 developers who answered questions related to the use of APIs in the 24th edition of our Developer Economics survey, which was fielded in Q1 of 2023. ACCESS THE FULL PREVIEW Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Key Questions Answered Who uses sustainable software engineering (SSE) approaches? Where are the global hotspots for SSE? Which types of SSE approaches are used? Which SSE principles are utilised by developers of different experience levels and in different regions? What motivates developers to use different SSE approaches and principles? How do developers’ motivations influence the types of SSE approaches they utilise? Which challenges do developers face when implementing SSE approaches? How do they challenges developers face change with their experience levels? Click to expand Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

The aim of this report is to explore what types of data ML/AI developers work with. To begin, we broadly examine popular types of data and compare our findings between those involved in deep learning technologies and those who aren’t. In chapter two, we examine what influences their choices, while chapter three deep dives into whether data type and size influence the choice of architectures ML/AI developers use to train and deploy models. In the final chapter, we turn our attention to what ML/AI developers use each of these types of data for. Going further, we examine developers working on applications of the two most popular types of data — text and image data — and consider who their primary target audience is and what their main aims for involvement in the sector are. All Insights Types of data ML/AI devs work with Understanding the types of data and their applications in machine learning and artificial intelligence Access the Full Preview About this Report The aim of this report is to explore what types of data ML/AI developers work with. To begin, we broadly examine popular types of data and compare our findings between those involved in deep learning technologies and those who aren’t. In chapter two, we examine what influences their choices, while chapter three deep dives into whether data type and size influence the choice of architectures ML/AI developers use to train and deploy models. In the final chapter, we turn our attention to what ML/AI developers use each of these types of data for. Going further, we examine developers working on applications of the two most popular types of data — text and image data — and consider who their primary target audience is and what their main aims for involvement in the sector are. Key Questions Answered What types of data do ML/AI developers use? What is the typical size of the training datasets ML/AI developers work with? Do the types of data ML/AI developers work with differ by experience in ML/AI development? Do the size of the training datasets ML/AI developers work with differ by organisation size? Are ML/AI developers’ preferences for computing architectures to train and deploy models influenced by the type and size of the data that they work with? What are the most popular ML/AI applications of text and image data? What are ML/AI developers working on different applications trying to achieve? Click to expand ACCESS THE FULL PREVIEW Methodology The data for the report comes from the 24th edition of our Developer Nation survey, which ran between December 2022 and February 2023 and reached more than 6,100 ML/AI developers. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT