Vorerst startet der Channel von Apple TV+ für Prime-Abonnenten ausschließlich in den USA. Vor allem Android-Nutzer könnten das auch in Deutschland gut gebrauchen. (Apple TV+, Apple)
Quelle: Golem
DevOps brings together developers and operations teams to create better software by introducing organizational principles that encourage communication, collaboration, innovation, speed, security, and agility throughout the software development lifecycle. And, the popularity and adoption rates of DevOps continue to grow, with 83% of 10,000 global developers surveyed saying that they use the principles, according to an April 2024 report commissioned by the Continuous Delivery Foundation (CDF), a Linux Foundation project.
DevOps includes everything from continuous integration/improvement and continuous deployment/delivery (CI/CD) as code is created and modified, to critical automation capabilities covering a wide range of development processes. Also built into DevOps principles is a focus on creating better applications from code conception all the way through to end-user experiences. Before this unified framework existed, code typically was created in separate silos that did not easily allow collaboration or foster efficient management, speed, or quality. These conditions eventually inspired the DevOps framework and principles.
DevOps principles and practices also help organizations by constantly integrating user feedback regarding application features, shortcomings, and code glitches, thereby reducing security and operational risks in code as it reaches production.
This blog post aims to help enterprises focus on one of these critical DevOps capabilities in particular — the use of automation to speed and streamline processes across the development lifecycle of applications — to further expand and drive the benefits of using DevOps processes within an organization.
As DevOps use continues to grow, more developers are finding that the Docker containerization platform integrates well as a crucial component of DevOps practices, especially due to its built-in automation features and capabilities.
What is DevOps automation?
DevOps automation is a major time-saver for developers and operations teams because it automates labor-intensive and repetitive processes that can free up developers to instead work on new code innovations and ideas that can create business value.
Automating repetitive manual tasks using DevOps automation tools drives notable efficiencies and productivity boosts for developers and organizations, using automatic actions that eliminate frequent developer or operations team intervention.
What DevOps processes can you automate?
DevOps automation is especially valuable because it can be used on a broad spectrum of tasks in the application development environment, including CI/CD pipelines and workflows, code writing, monitoring and logging, and Infrastructure as Code (IaC) tools. It can also help improve and streamline configuration management, infrastructure provisioning, unit tests, code testing, security steps and scans, troubleshooting, code review, deploying and delivering code, project management, and more.
By bringing beneficial and time-saving automation to the DevOps lifecycle, developers can create cleaner and more secure code with much less manual intervention and human error compared to traditional software development methods.
Benefits of DevOps automation tools
For development and operations teams, using DevOps automation to streamline and improve their operations goes far beyond just reducing human error rates and increasing the efficiency and speed of code creation and the deployment process.
Other benefits of DevOps automation include improved consistency and reliability, delivery of predictable and repeatable results, and enhanced scalability and manageability of multiple applications and processes. These benefits become possible with automation because it reduces many human mistakes and miscalculations.
DevOps automation benefits can also include smoother collaboration among multiple developers working on applications at the same time by automatically handling merge conflicts, and performing automatic code testing for multiple developers at once. Automation that troubleshoots applications can also speed up project development times by immediately notifying systems personnel of problems as they arise.
How to automate DevOps with Docker
As a flexible tool for DevOps automation, Docker is available in four subscription levels, from the free Docker Personal version to the top-of-the-line Docker Business tier.
Docker Business delivers a wide range of helpful tools that empower DevOps teams to identify development bottlenecks where automation can free up resources and resolve repetitive tasks and operations. The following tools are included with Docker Business. (Read our September 2024 announcement about upgraded Docker subscription plans that will deliver even more value, flexibility, and power to your development workflows.)
Docker Image Access Management
With Docker Business, developers and operations teams can quickly start automating tasks using features such as Docker Image Access Management, which gives administrators control over the types of container images that developers can pull and use from Docker Hub. This includes Docker Official Images, Docker Verified Publisher Images, and community images. Using Image Access Management, developers and teams can more easily search private registries and community repositories for needed container images to use to build their applications.
Image Access Management allows organizations to give developers freedom of choice while providing some guardrails to prevent developers from accidentally using untrusted, malicious community images as components of their applications. This is an important benefit, compared with only allowing developers to use a handful of internally built images, for example.
Docker Image Access Management is available only to Docker Business customers.
Docker automated testing
Other Docker DevOps automation features include automated testing, including source code repository testing, that can be done through Docker Hub to automatically test changes to source code repositories using containers. Any Docker Hub repository can enable an autotest function to run tests on pull requests to the source code repository to create a continuous integration testing service.
Automated test files to perform the tests can be set up by creating a docker-compose.test.yml file, which defines a service that lists the tests to be run. The docker-compose.test.yml file should be placed in the same directory that contains the Dockerfile used to build the image.
Hardened Docker Desktop
To automate security within Docker, administrators can use a wide range of features within Hardened Docker Desktop, which is available to Docker Business subscribers. Hardened Docker Desktop security features aim to bolster the security of developer environments while causing minimal speed or performance impacts on developer experiences or productivity.
These features allow administrators to enforce strict security settings, which prevent developers and containers from bypassing the controls intentionally or unintentionally. The features also enable enhanced container isolation capabilities to prevent potential security threats, such as malicious payloads, from breaching the Docker Desktop Linux VM and the underlying host.
Using Hardened Docker Desktop, security administrators can take more control and ownership over Docker Desktop configurations, removing and preventing potential changes by users, which is vital for security-conscious organizations.
Automated builds
Another automation and productivity tool is the Docker Automated builds feature, which automatically builds images from source code in an external repository and then pushes the built image to designated Docker repositories. Available in the Docker Business, Pro, or Teams tiers, Automated builds — also called autobuilds — create a list of branches and tags that can be built into Docker images using a series of commands. Automated builds can handle images of up to 10 GB in size.
Enhanced collaboration tools
Throughout Docker’s unified suite, tools built to deliver enhanced collaboration are available to developers and operations teams to work together to get the most out of their projects and applications.
Everything from Docker Desktop to Docker Engine, Docker CLI, Docker Compose, Docker Build/BuildKit, Docker Desktop Extensions, and more are designed to enable developers and operations teams to accelerate productivity, reduce code errors, increase security, drive innovation, and save valuable time throughout the software development process.
Easier scaling and orchestration with Kubernetes integration
Docker’s containerization platform also integrates well with the Kubernetes container orchestration platform, optimizing the developer experience for container development, deployment, and management. Docker and Kubernetes can work together using Docker Engine as a user-friendly and secure foundation for basic Kubernetes (K8s) functionality, or by using Docker Desktop for a more comprehensive approach that avoids potential challenges associated with do-it-yourself container configurations. Docker Desktop includes K8s setup at the push of a button, which is one of its numerous and useful automation features.
Support and troubleshooting
As Docker continues to mature, its knowledge base is constantly being expanded and deepened, with core documentation and resources freely available to Docker developers within the Docker ecosystem. And, because Docker uses a collaborative approach between developers and operations teams, developers can often find common answers to their inquiries and learn from each other to tackle most issues.
More information and help about using Docker can be found in the Docker Training page, which offers live and on-demand training and other resources to help developers and teams negotiate their Docker landscapes and learn fresh skills to resolve technical problems.
Other resources: Docker Scout and Docker Build Cloud
Docker offers even more tools to help with automation, collaboration, and creating better and more nimble code for developer teams and operations managers.
Docker Scout, for example, is built to help organizations better protect their software supply chain security when using container images, which may contain software elements that are susceptible to security vulnerabilities.
Docker Scout helps with this issue by proactively analyzing container images and compiling a Software Bill of Materials (SBOM), which is a detailed inventory of code included in an application or container. That SBOM is then matched against a continuously updated vulnerability database to pinpoint and correct security weaknesses to help make the code more secure.
Docker Build Cloud is a Docker service to help developers build container images more quickly, both locally and in the cloud. Those builds run on cloud infrastructure that requires no configuration and where the environment is optimally dimensioned for all workloads using a remote build cache. This approach ensures fast builds anywhere for all team members.
To use Docker Build Cloud, developers take the same steps they would take for a regular build using the command docker buildx build. With a regular build command, the build runs on a local instance of BuildKit, bundled with the Docker daemon. But when using Docker Build Cloud, the build request is sent to a BuildKit instance running remotely, in the cloud, with all data encrypted in transit. Docker Build Cloud provides several benefits over local builds, including faster build speed, shared build cache, and native multi-platform builds.
Future trends in DevOps automation
As DevOps automation continues to mature, it will gain more capabilities from artificial intelligence (AI), machine learning (ML), serverless architectures, cloud-native platforms, and other technologies across the IT landscape.
Such advancements can be found in Docker’s AI collaborations with NVIDIA. For example, Docker Desktop dovetails with the NVIDIA AI Workbench, which is an easy-to-use toolkit that lets developers create, test, and customize AI and machine learning models on a PC or workstation and then scale them to a data center or public cloud. NVIDIA AI Workbench makes interactive development workflows easier, while automating technical tasks that can halt beginners and derail experts.
DevOps automation is ripe for further improvements and enhancements from AI and ML in areas of agility, process improvements, and more for developers and operations teams. AI and ML will drive further labor savings for software development teams by delivering fresh new automated, self-service tools that free them up from a broader range of routine tasks, giving them more time to conduct valuable and critical work that will drive their companies forward.
Docker will be an important part of this changing landscape as the unified suites and tools continue to expand and deliver further new benefits and capabilities to DevOps, the Docker ecosystem, and developers and operations teams around the world.
Wrapping up
Improving DevOps automation by using the Docker containerization platform inside your business organization is a smart strategy that helps developers and operations teams deliver their best work with efficiency, creativity, and broad collaboration.
Docker Business plays a leadership role in enhancing DevOps automation in companies around the world as they look to automate their DevOps operations effectively.
Ready to automate your team’s DevOps processes? Find out how Docker Business can transform your development, or if you still have questions, reach out to one of our experts to get started!
Learn more
Subscribe to the Docker Newsletter.
Learn about the 2024 announcement of upgraded Docker plans that are simpler and offer even more value.
Learn how other DevOps teams use Docker.
Find the perfect pricing for your team.
Try the latest version of Docker Desktop.
Visit Docker Resources to explore more materials.
Quelle: https://blog.docker.com/feed/
Die Asus TUF Geforce RTX 4060 Ti 8GByte OC-Edition ist bei den Prime Deal Days zum Tiefstpreis erhältlich. Es warten mehr als 140 Euro Rabatt. (Prime Day, Technik/Hardware)
Quelle: Golem
Aufwachen mit Mario und Zelda: Nintendo kündigt einen Wecker namens Alarmo mit ungewöhnlichen Spezialfunktionen an. (Nintendo, Spiele)
Quelle: Golem
Mit einem WLAN-fähigen Relaisschalter lassen sich Geräte smart steuern. Ein beliebtes Modell von Shelly mit Alexa ist jetzt reduziert. (Smart Home, Google Assistant)
Quelle: Golem
Trotz des gesteigerten Umsatzes und hohen Gewinns entschuldigt sich Samsung in einem öffentlichen Brief bei den Investoren. (Samsung, Server)
Quelle: Golem
Mobilfunk als Festnetzersatz ist in den USA ein Hit. Doch die hohe Datennutzung macht FWA auch zum Problem. (Mobilfunk, Wirtschaft)
Quelle: Golem
The AI era is here, and the UK is at the forefront.
Over the past year, search interest for “AI” has surged by 50% in the country, while inquiries about “how to use AI” have jumped 70%. By 2030, AI could generate more than £400 billion ($524 billion) in value for the UK economy and save more than 700,000 administrative hours annually across sectors like healthcare, education, and finance. Central to this transformation is Gemini, Google Cloud’s next-generation AI foundation model, which is empowering UK businesses across all sectors to unlock new possibilities in a rapidly evolving landscape.
This week, the energy is palpable, as we welcome customers and partners to the Google Cloud Summit London at Tobacco Dock to experience how Gemini is helping shape the future of business and unlocking business value. The summit also showcases innovations from across Google Cloud’s extensive portfolio of products and services, as well as from our ecosystem of customers and partners — illustrating how AI is transforming different industries and equipping UK businesses to stay ahead in a competitive landscape.
And what a way to kick off the summit than with yesterday’s announcement of Google’s deepening partnership with Vodafone. This expands beyond our longstanding work together in the cloud, with a 10-year, billion-plus-dollar deal that includes cybersecurity, devices, and cloud services across Europe and Africa. As Google’s CEO, Sundar Pichai, noted: “I’m excited to see how Vodafone’s consumers, small businesses, and governments will use generative AI and Google Cloud to transform the way they work and access information.”
I’m also excited to further support our customers’ growth with Google Cloud’s $1 billion investment in a new UK data center in Waltham Cross, Hertfordshire. Unveiled in January, this major project reinforces our commitment to AI innovation and delivering reliable digital services across Europe and the world. We’re also fueling this digital growth with key updates and announcements made today from both Google Cloud and our customers.
Empowering customers with data and AI solutions
The momentum behind AI is undeniable — nearly two-thirds of UK organizations have earmarked at least half of their AI budget for generative AI. These tools have the potential to generate £4.8 billion in productivity savings, according to research from Public First.
Today, we are proud to highlight leading UK companies who are already harnessing Gemini and Google Cloud AI capabilities to drive real-world impact:
BUPA UK is using Google Cloud to build a cloud-first digital customer platform providing direct access to care when needed, as well as the tools to enable proactive health outcomes for customers. This new digital platform will allow BUPA to develop innovative ways to improve members’ wellbeing, reducing the cost of care all while delivering a highly personalized healthcare experience.
Dunelm has partnered with Google Cloud to enhance its online shopping experience with a new gen AI-driven product discovery solution. This has shown significant improvements in a number of key areas, including reduced search friction, helping customers find the products they are looking for.
Incubeta is using Gemini for Google Workspace, primarily with their development teams, to streamline architecture documentation and code refinements, and to reduce time spent on these tasks. They also use it for client teams to assist with mundane tasks and for creative conception.
Vodafone — in addition to its 10-year expanded partnership with Google — also recently completed the migration of its SAP ERP resource planning database to Google Cloud. One of the largest shifts of its kind, it was completed with zero business interruptions. At the summit, the team will be sharing more about this work, which boosted performance while shrinking costs and Vodafone’s carbon footprint.
Data residency for machine learning available in the UK
We understand the importance of data sovereignty for certain industries. That’s why Google Cloud is expanding our data residency commitment, enabling UK organizations to run machine learning processing for Gemini 1.5 Flash within the UK.
This effort helps address key data sovereignty and compliance concerns that enable UK organizations, including the public sector, to leverage gen AI while maintaining strict control over their data.
Fueling the next generation of UK and EMEA startups
We are also excited to share that since 2023, more than 60% of UK-based gen-AI startups are Google Cloud customers. Yesterday, at our global Startup Summit, we announced several important updates that are relevant for UK AI startups. These include our Startup School for AI skill-building and the ISV Startup Springboard offering extensive go-to-market and co-selling opportunities with Google Cloud and our partners. We’ve also launched a partnership with the startup accelerator 500 Global to provide streamlined access to Google Cloud’s AI platform
As part of today’s summit, we’re launching the Google Cloud Startup Hub in London — a dedicated community space designed to provide in-person education and engagement for startups and developers. Open five days a week with business hours from 9 a.m. to 6 p.m. or until 9 p.m. to accommodate evening events, the hub offers hands-on learning for Google Cloud and partner solutions and access to experts.
At the hub, we will host exclusive sessions with industry leaders and facilitate invaluable networking opportunities with investors and peers. The Google Cloud Startup Hub also serves as a vital community resource where key partners can also host events.
Some examples of how UK startups are driving breakthroughs with Google Cloud are:
BioCorteX, in collaboration with Google Cloud, announces a breakthrough in ADC research for cancer treatment using its “Unified Biology” approach. The research has uncovered a crucial link between the tumor microenvironment and ADC efficacy, potentially transforming personalized cancer therapy.
Motorway uses Google Cloud AI to streamline the process of buying and selling used cars online. With Google Cloud’s AI, Motorway has been able to build and deploy AI models faster, automate document processing, and provide industry-leading vehicle valuations.
OnBuy, a fast-growing ecommerce marketplace, partners with Google Cloud for international expansion and enhanced customer experience. Google Cloud’s infrastructure, data storage, and AI tools enable OnBuy to scale, improve efficiency, and innovate.
We’re also announcing the opening of the new AI Playground, located within the same space as the Google Cloud Startup Hub. An experiential AI demo space, the AI Playground is aimed at inspiring and empowering developers and organizations to build incredible new applications and solve business challenges with AI and ML.
Google Cloud’s commitment to making data and AI more accessible and powerful for all users
To help enhance our overall data platform, we’re also sharing a number of important product updates and announcements. These will deliver better insights and efficiencies for our customers and boost the performance of their AI offerings and projects. Data is the foundation of any AI work, so without having a handle on the former, it’s hard to succeed in the latter.
BigQuery, our unified enterprise gen AI-ready data platform, has now been integrated with our Gemini models. Gemini in BigQuery makes data prep easier, offering an intuitive natural-language interface that can help data teams generate insights from metadata and other large datasets, and it’s especially useful for new batches of data.
We also have new synthetic data capabilities, with BigQuery Dataframes, which make it easier to run and train models when inputs are more limited. Gemini in Looker has added conversational analytics, which lets you use a search experience similar to those found across Google; this allows for data exploration using natural language that surfaces actionable insights more easily.
For enhanced security, BigQuery now supports cross-region disaster recovery with multi-factor authentication, ensuring business continuity and data protection.
New managed BigQuery workflows assist data engineers in building data pipelines. For data ingestion, customers can use new managed services for Flink and Kafka to better configure, tune, scale, monitor, and upgrade real-time workloads. A unified data catalog in BigQuery helps organize and manage all your data and metadata, making it easier to discover and use, while BigQuery catalog semantic search, available in preview, expands the ability to find data using natural language. These search features make BigQuery more intuitive and accessible to everyone.
Google is also launching a new enterprise tier of Code Assist, our AI-powered coding partner, which can help teams with work throughout the software development lifecycle. This enterprise tier will offer enhanced security, improved context for better accuracy and reliavbility, and wider integration with Google Cloud services.
With these investments and the customer momentum showcased today, Google Cloud is reinforcing the UK’s role in shaping the future of AI and strengthening the future we can build together on the cloud.
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Quelle: Google Cloud Platform
BMW entwickelt in Indien künftig Software zusammen mit der Tata Group. Das Joint Venture soll aber mehr als nur Code liefern. Ein Bericht von Friedhelm Greis (BMW, KI)
Quelle: Golem
Eine aktuelle HBO-Doku behauptet, Peter Todd sei der echte Bitcoin-Erfinder. Er dementiert und macht dem Sender schwere Vorwürfe. (Bitcoin, Wirtschaft)
Quelle: Golem
