DevOps Trends

RamenApps Analysis

DevOps is the heavyweight tag encompassing everything that modern software development and deployment demands. It is an approach where development and operations team up with the goal of improving collaboration, communication, integration, and automation. This amalgamation of efforts ensures that the end product is of high quality with efficient and streamlined processes. CloudOps, Azure, GitHub, Kubernetes, and Terraform are among the trends tagged under DevOps. The rise of cloud computing, open-source, and containerization has necessitated the integration of software development and delivery. The DevOps philosophy is all about facilitating smooth and continuous delivery, so you don't have to break into a cold sweat every time there's a deployment.

Related tags to DevOps

5 Years

Monthly Searches

Microsoft Learn

Microsoft Learn is a platform provided by Microsoft that offers a wide range of resources and training materials to help individuals learn and develop skills related to Microsoft products and services. Users can access interactive lessons, hands-on training, certifications, and learning paths to enhance their knowledge and proficiency in using Microsoft technologies. The platform provides a diverse range of courses covering various topics such as Azure, Dynamics, Power Apps, and more. Microsoft Learn is available to anyone interested in learning about Microsoft products, and it offers free training resources to help individuals achieve their career goals and stay updated with the latest advancements in technology.

Monthly searches:
22,200
Competition:
LOW

Accelerating

Data Engineering

Data engineering is a field that involves designing and building systems to collect, store, and analyze data at scale. Data engineers play a crucial role in preparing raw data for analysis by data scientists through various processing techniques. They source, transform, and analyze data from different systems, making data more useful and accessible. To become a data engineer, one typically needs a bachelor's degree in a related field and real-world experience, such as internships. Data engineering is a highly in-demand career, with professionals being well-paid and opportunities for career growth. It is a field that requires technical skills and knowledge in areas such as data modeling, data warehousing, data pipelines, and managing large datasets.

Monthly searches:
22,200
Competition:
LOW

CI/CD Pipeline

A CI/CD pipeline, or continuous integration/continuous delivery pipeline, is a practice that focuses on automating the software delivery process throughout the software development life cycle. It involves making changes to code, which are then automatically tested and deployed for delivery. The pipeline consists of several stages, including source, build, test, and deploy. By automating these processes, CI/CD pipelines eliminate manual errors, provide standardized feedback to developers, and enable faster product iterations. Popular CI/CD tools include Jenkins, Bamboo, and Circle CI. Implementing a CI/CD pipeline can improve software reliability and make an IT team more attractive to developers.

Monthly searches:
14,800
Competition:
LOW

Mlops

MLOps, or Machine Learning Operations, is a set of practices that focuses on deploying and maintaining machine learning models in a production environment, ensuring reliability and efficiency. MLOps combines the principles of Machine Learning with DevOps to streamline the end-to-end process of developing, deploying, and monitoring machine learning models. It involves collaboration and communication between data scientists and operations professionals, aiming to increase the quality, simplify management processes, and automate the deployment of machine learning and deep learning models in large-scale production environments. MLOps is not particularly easy to learn and may take a few months of dedication to learn all the necessary skills. However, if you are a DevOps engineer with knowledge of machine learning algorithms, you can easily transition to MLOps in just a few weeks.

Monthly searches:
8,100
Competition:
MEDIUM

Accelerating

Pulumi

Pulumi is an open source infrastructure as code tool for creating, deploying, and managing cloud infrastructure. Pulumi works with traditional infrastructures like VMs, networks, and databases, in addition to modern architectures, including containers, Kubernetes clusters, and serverless functions. The Pulumi Service is free to use, now and forever, for individuals. You get all of the convenience of automatic state management, unlimited deployments, and many other great features without needing to pay anything at all for it.

Monthly searches:
8,100
Competition:
LOW

Accelerating

Observability

Topic

Observability is a concept used in IT and cloud computing to measure and understand the internal state of a system by examining its outputs, including logs, metrics, events, and traces. This helps system engineers and DevOps teams to proactively collect and analyze data, troubleshoot system issues, and ensure a system is working correctly. The three main pillars of observability are logs, metrics, and traces. Observability is also a measure of how well the internal states of a system can be inferred from knowledge of its external outputs. It is defined as the ability to measure a system's current state and understand its properties and patterns not defined in advance. Control theory describes observability and controllability as mathematical duals.

Monthly searches:
6,600
Competition:
MEDIUM

Accelerating

Data Pipelines

Data pipelines are a series of tools and processes designed to automate the flow and transformation of data from a source to a destination. These destinations may include data warehouses, data lakes, analytics databases, and other repositories. The process of data pipeline involves ingesting the raw data from various sources and then transforming, validating, and loading it into a target system. ETL (Extract, Transform, Load) is a type of data pipeline that involves the process of extracting data from various sources, transforming it in some way to make it suitable for analysis, and then loading it into a destination system. AWS Data Pipeline is a popular web service that automates the movement and transformation of data. There are many other types of data pipelines that can be used depending on the specific needs of an organization. Overall, data pipelines are essential for organizations that need to move and transform large volumes of data quickly and efficiently. They allow businesses to gain valuable insights from their data in a timely manner, ultimately helping them make better decisions based on that information.

Monthly searches:
5,400
Competition:
LOW

Finops

FinOps is a cloud financial management discipline that aims to promote shared responsibility for an organization's cloud infrastructure and costs. It enables organizations to get maximum business value by helping them accelerate business value realization, drive financial accountability, cost efficiency, trust, and collaboration across the organization. FinOps is often used in conjunction with cloud computing and is a practice that contributes to overall cost optimization strategies. To become FinOps certified, one must complete a FinOps Foundation course.

Monthly searches:
4,400
Competition:
MEDIUM

Accelerating

AI Development

The term "AI development" refers to the creation of artificial intelligence software and applications. AI developers program systems that collect and analyze data and change to suit a business's needs. The AI job market is growing rapidly, with entry-level salaries around 8 lakhs and high-level positions earning up to 50 lakhs. AI has the potential to transform the world in numerous ways, including autonomous driving, natural language processing, and quantum computing. AI development requires knowledge of machine learning, which involves exposing an algorithm to a large amount of data to improve its capabilities. There are various resources available to start learning about AI development, such as online courses and data science bootcamps.

Monthly searches:
1,900
Competition:
LOW

Accelerating

Cybersecurity Software

Cybersecurity software is a computer program designed to enhance the overall information security of a computer, system, or network. There are three types of software security: security of the software itself, security of data processed by the software, and security of communications with other systems over networks. Cybersecurity software tools aim to stop sophisticated cyber attacks and often contain multiple layers of security. The industry has a promising career outlook and many countries have a deficit of qualified employees. Some popular cybersecurity software companies include Zoho ManageEngine, SecureMix, and Cloudflare. Lists of the best cybersecurity software tools for various years can be found, with features and comparison to help businesses choose the right tool to protect against cyber threats. Examples of top cybersecurity software tools include ThreatLocker, PhishingBox, Heimdal Threat Prevention, SentinelOne, Agari Phishing Defense, ThreatAdvice Breach Prevention, and Web.com.

Monthly searches:
1,000
Competition:
MEDIUM

Developer Experience

Developer Experience (DX) is the equivalent of User Experience (UX) but for developers. It refers to how easy or difficult it is for developers to perform essential tasks needed to implement a change. The three pillars of developer experience are usability, findability, and credibility. Organizations may create a developer experience team to understand where engineers are struggling and create solutions to solve those problems. Good DX includes the speed of development, safety, innovation, and iteration. To provide good DX, software or platforms should be highly usable and organized to support the developer journey, reduce context switching, and minimize decision fatigue. Developer experience is crucial in creating positive product outcomes and improving developer productivity.

Monthly searches:
880
Competition:
LOW

Backend Development

Backend development involves the programming and management of the 'behind-the-scenes' functionality of websites and web applications. This includes handling website architecture, scripting, and coding to connect the web to a database, as well as developing server-side logic to power websites and apps from behind the scenes. Some common backend languages for development include Ruby, PHP, Java, .Net, and Python, with Python being a popular choice due to its versatility and efficiency. Backend developers require a specific skill set that includes proficiency in programming languages, knowledge of frameworks, and the ability to work with databases. Overall, backend development plays a crucial role in ensuring the functionality and performance of web applications.

Monthly searches:
720
Competition:
LOW

Production Team

A production team is a group of individuals responsible for overseeing and executing the various tasks involved in the production process, whether it be for film, video, manufacturing, or other industries. The team typically includes roles such as producers, directors, production managers, production assistants, designers, and workers who operate machinery and assemble products. Each member plays a crucial role in ensuring the success of the production, from managing the project from start to finish to ensuring product quality and adhering to safety guidelines. The director is often seen as a key figure in the production team, as they are heavily involved in all aspects of the production, from assembling the right crew to overseeing the project on set. Overall, the production team works together to bring a project to life and ensure its success.

Monthly searches:
590
Competition:
LOW

Accelerating

DevOps Platform

A DevOps platform is a tool that combines software development, security, and operations in a single application. It automates the process of building and testing software, and ensures that new releases are delivered faster and more efficiently while maintaining security and compliance. Some of the most popular DevOps platforms include GitHub, GitLab, Jenkins, Kubernetes, and JFrog. The main difference between DevOps and platform engineering is that a DevOps team is responsible for delivering technical features of an application, while a platform engineering team is specifically focused on building and maintaining a platform. Overall, a DevOps platform maximizes the overall return on software development and helps organizations stay competitive in the rapidly evolving technology landscape.

Monthly searches:
320
Competition:
LOW

Cloud Resources

Cloud Resources refer to computing resources that are accessed via the internet, including storage, processing power, databases, networking, and more. These resources are typically hosted at remote data centers managed by cloud service providers. Cloud Resources offer on-demand access to a wide range of capabilities and technologies, such as virtual machines and software development tools. Various types of cloud computing exist, including private, public, hybrid, and multiclouds, as well as service models such as Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS). Cloud Resources play a crucial role in modern IT infrastructure, enabling organizations to scale and optimize their operations efficiently. Let me know if you need more information.

Monthly searches:
260
Competition:
LOW

Accelerating

Platform Code

Platform Code is a concept that involves writing declarative instructions about the platform layer into code and executing it. It is often referred to as Infrastructure as Code (IaC) or Platform as Code (PaC) and is a way of provisioning and managing elements in an application stack. It enables better quality and organizational execution environments, making it easier for developers to manage and maintain their applications. Additionally, Platform Code can be used as a part of low-code development platforms, which are drag and drop modules that require no scripting. The cost of low-code platforms can range from $5 to $1,000 per month and provide unlimited app development. IaaS is a type of cloud service that offers essential compute, storage, and networking resources on demand, while PaC considers writing code for platform layers such as OS and other tools.

Monthly searches:
30
Competition:
LOW

DevOps Trends

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