Wochenrückblick: Zahlungsausfall
Keine Kartenzahlung und keine Anzeige: die Woche im Video. (Golem-Wochenrückblick, Amazon)
Quelle: Golem
Keine Kartenzahlung und keine Anzeige: die Woche im Video. (Golem-Wochenrückblick, Amazon)
Quelle: Golem
Editor’s note: World Environment Day reminds us that we all can contribute to creating a cleaner, healthier, and more sustainable future. Google Cloud is excited to celebrate innovative startup companies developing new technology and driving sustainable change. Today we’re highlighting Moss, a Brazilian startup, simplifying carbon offset transactions and increasing traceability, using blockchain and Google Cloud technology. Brazil is an important nation in the fight against climate change. With 212 million people, it’s the sixth most populous country in the world. And the Amazon rainforest is by far the world’s largest rainforest—larger, in fact, than the next two largest rainforests combined—and therefore the earth’s largest carbon sink. Yet as much as 17 percent of the rainforest is already lost to agricultural development and resource extraction.I’m passionate about enabling a more sustainable future for Brazilians and for people all over the world, as is my business partner, Luis Felipe Adaime, who used to work in financial services. That industry—at least in Brazil—is still in the early stages of embracing more sustainability initiatives. Luis Felipe was interested in climate change and environmental, social, and governance (ESG) strategies, but few people in Brazilian finance were even talking about these things. After his daughter was born, he decided to dedicate his life to combating climate change and foundedMoss.Moss, where I am a Partner and Managing Director, makes it easier by simplifying green carbon offset transactions. We started in Brazil, but we’re global now, and we’re growing fast, with 44 employees dedicated to reaching more customers worldwide. The focus on sustainability is increasing everywhere now. For instance in 2019, the UK became the first country in the world to pass a net zero carbon emissions law, requiring itself to reduce net emissions of greenhouse gasses by 100 percent compared to 1990 levels by the year 2050. Other countries worldwide are embracing similar goals. Net zero carbon emissions doesn’t mean that no carbon dioxide (or its equivalent) is released into the atmosphere. That is likely impossible given how economies and the people they serve operate today. Net zero means that for every ton of carbon dioxide emitted, another ton is removed, such as by the planting of trees to replace it with a carbon sink. Fernanda Castilho, Partner and Managing Director at MossExpanding access to carbon credits to fight climate changeOur mission is simple: combat climate change by digitizing the tools we need to expand the market for buying carbon offset credits. We started by transferring existing credits to blockchain and by creating a green token, MCO2, which we sell to companies and individuals who want to do their part. MCO2 is an ERC-20 utility token, a standard used for creating and issuing smart contracts on the Ethereum blockchain. If you purchase carbon offset credits from us, and retire them, we believe that you’re donating money to projects that prevent deforestation in the Amazon for timber harvesting and cattle grazing. Moss makes publicly available a real-time reconciliation on itswebsite, where holders can check the total supply of tokens on the Ethereum blockchain and compare it to the regular inventory of the carbon credit market.We partner with global companies such as Harrison Street, a real estate investment fund in the UK, and One River Asset Management, a crypto management fund in the US. But our largest clients are corporations here in Brazil that acquire our credits with the objective to offset their carbon footprints or offer it to their own clients.GOL, for instance, Brazil’s largest airline, now gives passengers the option to offset carbon emissions from their trips when they purchase a ticket. We also work with a number of Brazilian soccer teams, and there’s an app available in the Google Play store that individuals can use to purchase credits to offset their personal carbon footprints. Rapid time to market with advanced securityOur CTO, Renan Kruger, lobbied hard to use Google Cloud right at the beginning because he loved using Google Workspace at his previous job. Our IT team also heavily promoted the use of Google Cloud thanks to capabilities in Cloud SQL, Cloud Storage, Compute Engine, Google Kubernetes Engine (GKE), BigQuery, Dataflow, and Cloud Functions. We also value that Google Cloud takes environmental sustainability as seriously as we do.BigQuery is a terrific repository for capturing and analyzing massive amounts of data, so the flexibility to manage and analyze vast pools of data is integral to creating our carbon credit exchange. GKE can be one of the simplest ways to eliminate operational overhead by automatically deploying, scaling, and managing Kubernetes. Google Cloud Dataflow is perfect for fast, cost-effective, serverless data processing, and we love that Cloud Functions lets us pay as we go to run our code without any server management. All of this is crucial for us because we have immense flexibility to scale and don’t need or want to run hardware. Our product is an app for buying and selling credits rather than physical objects, so we can operate entirely in the cloud. We used Firebase, the Google mobile development platform, to quickly build and grow our app with basically no infrastructure in aNoOps scenario to achieve a rapid time to market. We can deploy edge functions and back-end functions using Node JS inside the Firebase stack itself. We can also deploy our solutions on blockchain to help secure our product keys. And Google Cloud data governance helps us deploy and maintain clusters, reducing the time, cost, and labor of maintaining traditional infrastructure.Equally critical is security. With Google Cloud, we don’t worry about patching or hardening the system or any of the other headaches IT teams deal with using on-premise infrastructure or less-secure cloud environments.Moving toward net zero emissionsRight now we’re trying to reduce carbon emissions, but removing carbon that’s already in the atmosphere and reversing rather than slowing climate change is a priority. Damage control, while important today, isn’t enough in the long run. A big challenge is that right now it’s very expensive to remove carbon from the atmosphere. Fortunately, technology is always improving, which could help lower carbon-elimination costs. The reality is that we all have to work together and contribute to combat climate change. Everyone everywhere is already witnessing impacts that are projected to only worsen in frequency and severity. The more people who are empowered to take action, the better it will be for everyone. At Moss, we offer another important avenue for people to get involved, with a vision that additional, transparent and high-quality carbon credits will aid in installing the destruction we see today and tomorrow. If you want to learn more about how Google Cloud can help your startup, visit our pagehere to get more information about our program, and sign up for our communications to get a look at our community activities, digital events, special offers, and more.Related ArticleHow Google Cloud is helping more startups build, grow, and scale their businessesLearn how Google is investing in startups at the 2022 Google Cloud Startup Summit.Read Article
Quelle: Google Cloud Platform
European legislators came to an inter-institutional agreement on the Digital Operational Resilience Act (DORA) in May 2022. This is a major milestone in the adoption of new rules designed to ensure financial entities can withstand, respond to and recover from all types of ICT-related disruptions and threats, including increasingly sophisticated cyberattacks.DORA will harmonize how financial entities must report cybersecurity incidents, test their digital operational resilience, and manage ICT third-party risk across the financial services sector and European Union (EU) member states. In addition to establishing clear expectations for the role of ICT providers, DORA will also allow financial regulators to directly oversee critical ICT providers. Google Cloud welcomes the agreement on DORA. As part of our Cloud On Europe’s Terms initiative, we are committed to building trust with European governments and enterprises with a cloud that meets their regulatory, digital sovereignty, sustainability, and economic objectives. We recognize the continuous effort by the European Commission, European Council, and European Parliament to design a proportionate, effective, and future-proof regulation. We have been engaging with the policymakers on the DORA proposal since it was tabled in September 2020, and appreciate the constructive dialogue that the legislators have held with ICT organizations.Google Cloud’s perspective on DORAWe firmly believe that DORA will be crucial to the acceleration of digital innovation in the European financial services sector. It creates a solid framework to enhance understanding, transparency, and trust among ICT providers, financial entities, and financial regulators. Here are a few key benefits of DORA:Coordinated ICT incident reporting: DORA consolidates financial sector incident reporting requirements under a single streamlined framework. This means financial entities operating in multiple sectors or EU member states should no longer need to navigate parallel, overlapping reporting regimes during what is necessarily a time-sensitive situation. DORA also aims to address parallel incident reporting regimes like NIS2. Together these changes help get regulators the information they need while also allowing financial entities to focus on other critical aspects of incident response. New framework for digital operational resilience testing: Drawing on existing EU initiatives like TIBER-EU, DORA establishes a new EU-wide approach to testing digital operational resilience, including threat-led penetration testing. By clarifying testing methodology and introducing mutual recognition of testing results, DORA will help financial entities continue to build and scale their testing capabilities in a way that works throughout the EU. Importantly, DORA addresses the role of the ICT provider in testing and permits pooled testing to manage the impact of testing on multi-tenant services like public clouds.CoordinatedICT third party risk management: DORA builds on the strong foundation established by the European Supervisory Authorities’ respective outsourcing guidelines by further coordinating ICT third-party risk management requirements across sectors, including the requirements for contracts with ICT providers. By helping to ensure that similar risks are addressed consistently across sectors and EU member states, DORA will enable financial entities to consolidate and enhance their ICT third-party risk management programs. Direct oversight of critical ICT providers: DORA will allow financial regulators to directly oversee critical ICT providers. This mechanism will create a direct communication channel between regulators and designated ICT providers via annual engagements, including oversight plans, inspections, and recommendations. We’re confident that this structured dialogue will help to improve risk management and resilience across the sector.How Google Cloud is preparing for DORAAlthough political agreement on the main elements of DORA have been reached, legislators are still finalizing the full details. We expect the final text to be published later this year and that there will be a two-year implementation period after publication. While DORA isn’t expected to take effect until 2024 at the earliest, here’s four important topics that DORA will impact and what Google Cloud does to support our customers in these areas today.Incident reporting: Google Cloud runs an industry-leading information security operation that combines stringent processes, a world-class team, and multi-layered information security and privacy infrastructure. Our data incident response whitepaper outlines Google Cloud’s approach to managing and responding to data incidents. We also provide sophisticated tools and solutions that customers can use to independently monitor the security of their data, such as the Security Command Center. We continuously review our approach to incident management based on evolving laws and industry best practices, and will be closely following the developments in this area under DORA.Digital operational resilience testing: We recognize that operational resilience is a key focus for the financial sector. Our research paper on strengthening operational resilience in financial services by migrating to Google Cloud discusses the role that a well-executed migration to Google Cloud can play in strengthening resilience. We also recognize that resilience must be tested. Google Cloud conducts our own rigorous testing, including penetration testing and disaster recovery testing. We also empower our customers to perform their ownpenetration testing and disaster recovery testing for their data and applications. Third-party risk: Google Cloud’s contracts for financial entities in the EU address the contractual requirements in the EBA outsourcing guidelines, the EIOPA cloud outsourcing guidelines, the ESMA cloud outsourcing guidelines, and other member state requirements. We are paying close attention to how these requirements will evolve under DORA.Oversight: Google Cloud is committed to enabling regulators to effectively supervise a financial entity’s use of our services. We grant information, audit and access rights to financial entities, their regulators and their appointees, and support our customers when they or their regulators choose to exercise those rights. We would approach a relationship with a lead overseer with the same commitment to ongoing transparency, collaboration, and assurance.We share the same objectives as legislators and regulators seeking to strengthen the digital operational resilience of the financial sector in Europe, and we intend to continue to build on our strong foundation in this area as we prepare for DORA. Our goal is to make Google Cloud the best possible service for sustainable, digital transformation for European organizations on their terms—and there is much more to come.Related ArticleHelping build the digital future. On Europe’s terms.Cloud computing is globally recognized as the single most effective, agile and scalable path to digitally transform and drive value creat…Read Article
Quelle: Google Cloud Platform
By now, you’ve probably interacted with a customer service chatbot at some point. However, many of those interactions may have left a lot to be desired. Modern consumers generally expect more than a simple bot that answers questions with predefined answers—they expect a virtual agent that can solve their problems.Google Cloud Contact Center AI (CCAI) can make it easier for organizations to efficiently support their end customers with natural interactions delivered through AI-powered conversation. In this guide, we’ll share seven Apigee best practices for building fast, effective chatbots with secure APIs using CCAIand Apigee API Management.This blog post assumes you have basic knowledge of CCAI and Apigee API Management.Good conversation is challengingOne of the many challenges organizations face is how to provide a bot experience to customers when information resides in more places than ever. Creating an optimal virtual agent generally involves integrating with both new and legacy systems that are spread out across a mix of on-premises and cloud environments, using REST APIs.Dialogflow CX is a natural language processing module of CCAI that translates text or audio from a conversation into structured data. A powerful feature of Dialogflow CX is webhook fulfillments to connect with backend systems. Once a virtual agent triggers a webhook, Dialogflow CX connects to backend APIs, consumes the responses, and stores required information in its context. This integration can allow virtual agents to have more informed and purposeful interactions with end users, such as verifying store hours, determining whether a particular item is in stock, and checking the status of an order.Developing APIs for CCAI fulfillment is not a straightforward task. There can be many challenges associated with it, including:Complexity: You may need to access APIs that are not exposed externally, which can require significant collaboration and rules to enable access to existing data and systems. This can easily lead to technical debt and more inefficiency without an API Gateway that can translate the complexities of data systems in real time and forward them to a customer.Increased customer frustration: Contact centers often act as one of the primary drivers of customer experience. Improving the speed of response can enhance experiences, but any friction or delays can be magnified. Caching and prefetching data are some commonly used flows to enable faster virtual agent responses. API Orchestration: APIs generally require more than just exposing an endpoint as they need to change often in response to customer needs. This flexibility can require API orchestration, where APIs are decoupled from rigid services and integrated into an interface tailored to the expected consumption patterns and security requirements of interacting with Dialogflow CX. Without an API platform, translating complexities of data systems in realtime and forwarding to the caller is not efficient.How Dialogflow and Apigee deliver better chatbot experiencesCCAI can be more effective when woven into the fabric of the business via APIs. The more functionality (and therefore more APIs) you add to the agent, the more critical it can become to streamline the API onboarding process. You need to consolidate repetitive work, validate security postures, and identify and implement optimizations to ensure a great end user experience.Apigee API Management can pave the way for faster and easier fulfillment. Apigee is an intuitive platform for bot designers and architects to incorporate key business processes and insights into their workflow. More specifically, it enables Dialogflow to speak with your backend systems. You can use Apigee’s built-in policies to inspect Dialogflow requests, set responses, validate defined parameters, and trigger events in real time. For example, if a call meets a defined business criteria, Apigee can augment a “360 degree view” in a data warehouse like BigQuery, add a customer to a campaign list, or send a SMS/text alert—all without any material impact on the routing time. By pairing CCAI with Apigee, you can leverage a greater portion of Google Cloud’s transformation toolset, reduce the amount of time needed for conversation architects to integrate APIs, and create a more cohesive development environment for solving call center challenges.Seven ways to get more out of Contact Center AI API development with ApigeeThe following are several best practices for Apigee API development for Dialogflow CX API fulfillments:1. Create a single common Apigee API proxy Let’s assume we have a Dialogflow CX virtual agent that needs three fulfillment APIs that will be fronted by Apigee:get list of moviesadd movie ticket to cartorder item in cartTechnically, you can create a separate Dialogflow CX webhook for each of these APIs, which can point to three separate API proxies. However, because Dialogflow has a proprietary request and response format, creating three separate API proxies for those fulfillment APIs results in three non-RESTful proxies that are difficult to consume for any clients other than Dialogflow CX virtual agents.Instead, we recommend creating a common Apigee API proxy that is responsible for handling all the fulfillment APIs required by the agent. Dialogflow CX will have just one webhook that is configured to send requests to the common Apigee API proxy. Each webhook call is sent with a webhook tag that uniquely identifies the correct fulfillment API.2. Leverage Dialogflow policies as much as possibleApigee provides two Dialogflow-specific policies: ParseDialogflowRequest and SetDialogflowResponse. It is highly recommended to use these policies whenever possible. Doing so not only adheres to the general best practice of choosing built-in policies first over custom code, but also ensures that parsing and setting of Dialogflow request and response is standardized, hardened, and performant.As a general rule:ParseDialogflowRequest is required only once in an API proxy and placed in the PreFlow after authentication has taken place.SetDialogflowResponse may be used for each distinct fulfillment response (i.e., for each unique webhook tag). If the SetDialogflowResponse does not meet all of the requirements, either supplement or replace it with AssignMessage or JavaScript policies.3. Use conditional flows for each webhook tagConditional flows should be used to separate the logic for different fulfillment APIs. The easiest way to implement this is by placing a ParseDialogflowRequest policy in the PreFlow. Once that policy has been added, the flow variable google.dialogflow.<optional-prefix>.fulfillment.tag will be populated with the value of the webhook tag. This variable can then be used to define the conditions in which a request enters a particular conditional flow.Here is an example of a conditional flow using the same three fulfillment APIs from above:4. Consider utilizing proxy chainingDialogflow CX webhooks have their own request and response format instead of following RESTful conventions such as GET for reads, POST for creates, PUT for updates, etc. This makes it difficult for conventional clients to easily consume an API Proxy created for DIalogflow CX.Hence we recommend using proxy chaining. With proxy chaining you can separate API proxies into two categories: Dialogflow proxies and resource proxies. Dialogflow proxies can be lightweight proxies limited to actions specific to the Dialogflow client. These might include:Authenticating requestsTranslating a Dialogflow CX request into a RESTful formatSending a RESTful request to the resource proxyTranslating the response back from the resource proxy into the Dialogflow formatAnd any tasks that involve connecting to the backend and exchanging data should fall to your resource proxies. You should create resource proxies just like any other Apigee API proxy, without considerations for Dialogflow in mind. The focus should be on providing an eloquent, RESTful interface for all types of clients to easily consume.Proxy chaining provides a way to reuse proxies. However, it can incur some additional overhead as the call moves from one proxy to another. Another approach you can use is to develop components that are expressly designed to be reused, using Reusable shared flows. Shared flows combine policies and resources together and can be abstracted into shared libraries, allowing you to capture functionality that can be consumed in multiple places. They also let security teams standardize on approach and rules for connectivity to trusted systems, assuring security compliance without compromising the rate of innovation. Proxies you want to connect in this way must be in the same organization and environment.5. Improve performance with cache prefetchingWhen creating a chatbot or any other natural language understanding-enhanced application, response latency is an important metric — the time it takes for a bot to respond back to the user. Minimizing this latency helps retain user attention and avoids scenarios where the user is left wondering whether the bot is broken.If a backend API that a Dialogflow virtual agent relies on has a long response time, it may be useful to prefetch the data and store it in Apigee’s cache to improve performance. You can include tokens and other meta-information, which can directly impact the time elapsed between customer input and a return prompt from Dialogflow. The Apigee cache is programmable, which can enable greater flexibility and thus a better conversation experience. You can implement prefetching and caching data using Response Cache (or Populate Cache) combined with Service Callout policy.6. Prefer responding with a single complex parameter instead of multiple scalar parametersWhen responding to a virtual agent with the SetDialogflowResponse policy, one can return multiple values at once via the <Parameters> element. This element accepts one or more children <Parameter> elements. If possible, it’s generally more effective to return a single parameter as a JSON object instead of breaking up the response as multiple parameters, each containing a single string or number. You can leverage this strategy via <JSONPath>.This approach is recommended because: Parameters will be logically grouped.Dialogflow CX can still easily access the composite parameters using dot notation.The agent can use a null value for a single parameter to erase previous response parameters and delete the entire JSON object instead of having to specify a null value for many different individual parameters7. Consider responding with 200s on certain errorsIf a webhook service encounters an error, Dialogflow CX recommends returning certain 4XX and 5XX status codes to notify the virtual agent that an error has occurred. Whenever Dialogflow CX receives these types of errors, it invokes the webhook.error event and continues execution without making the contents of the error response available to the agent.However, there are scenarios where it is reasonable for the fulfillment API to provide feedback on an error, such as notifying the user that a movie is no longer available or that a certain cinema ticket is invalid. In these cases, consider responding with a 200 HTTP status code to provide context around whether the error was expected (e.g. 404) vs. unexpected (e.g. 5XX).Get startedApigee’s built-in policies, nuanced approach to security, shared flows, and caching mechanism can provide a smoother way to implement effective virtual agents that deliver speedy responses to your end customers. By applying these best practices, your Dialogflow engineers can have more time to innovate and focus on building better conversation experiences rather than integrating backend systems.Try building a sample Contact Center AI workflow with Apigee or visit Integrating with Contact Center AI to find out more.Related ArticleContact Center AI reimagines the customer experience through full end-to-end platform expansionGoogle Cloud extends Contact Center AI with Contact Center AI Platform, adding CRM integration for end-to-end management of customer jour…Read Article
Quelle: Google Cloud Platform
Stanford University classmates Gabriel Braga and André Penha knew the real estate market in Brazil was plagued by bureaucracy and steep fees, and they were sure they could build something better. They envisioned a digital marketplace that could connect potential tenants and homebuyers to landlords and sellers to streamline real estate transactions in Brazil. In 2012, they founded QuintoAndar, a housing marketplace that connects property owners, residents, brokers and agents in Brazil. The company, which began with a small team of developers, has now the largest valuation of a proptech in Latin America at $5.1B as of August 2021, after raising another $120M on top of the $300 million in Series E funding they raised in May 2021.Building a PWA at Google for Startups Accelerator: BrazilQuintoAndar started out with four projects in two stacks for their front end main products: Android and iOS mobile apps and desktop and mobile websites. The brand wasn’t well-known, so users were hesitant to install its apps. To meet their aggressive traffic and growth goals, QuintoAndar decided to participate in the Google for Startups Accelerator: Brazil program. Their Google mentors introduced them to the concept of Progressive Web Apps, which use modern web capabilities to deliver an app-like user experience, and described a long-term strategy for QuintoAndar using a PWA. QuintoAndar’s leadership could see that a PWA would allow them to evolve the product on multiple platforms by unifying the production and support of new features.To help focus developers on a main stack and offer users a great web experience, the QuintoAndar team decided to go all-in on a PWA written in React, using Chrome for the browser and Chrome DevTools to develop and debug the app. They used WorkBox to improve the offline experience and Google Material Design to unify the desktop-app cross-platform experience.The PWA served as QuintoAndar’s main web digital channel, and three apps met the needs of three user categories: home buyers and renters; sellers or landlords; and real estate agents. Home buyers and renters used QuintoAndar’s main PWA to search for homes, schedule virtual or on-site visits, negotiate, and complete all the steps of the rental or sales process. Homeowners used the homeowners’ app to list properties for sale or rent, monitor visits, negotiate with potential buyers or tenants, and close deals. Real estate agents used the agent’s app to manage their schedules, book visits, contact clients, and manage deals.QuintoAndar’s four years of focusing on its PWA helped the company shape its product and drive growth. Traffic increased to 30 times its initial rates. By 2021, with a larger engineering and product team and a well-known brand, QuintoAndar decided to invest in mobile app development, to offer a better user experience. After researching mobile development options, the company built a native app with Flutter, and QuintoAndar’s app score went up from 3.9 to 4.5. The company continues to invest in both web and native mobile app platforms.Leveraging Google Cloud to get results Now, QuintoAndar has dedicated platform teams to improve its tech stack and build developer tools for stream-aligned teams, like design system, web performance, and native teams. On the stack side, they use Next.js for web and Flutter for native apps. They also use YouTube, Google Maps Platform, Firebase, Cloud Firestore, Cloud Functions, and Analytics to real time sync in features such as favorite lists and negotiations (which are back-and-forth messages between the tenant/buyer and the homeowner/seller). When QuintoAndar launched, none of the players in the proptech market in Brazil showed exact locations of their listings, which had a negative impact on user experience. QuintoAndar uses Google Maps to show the exact location of properties, which forces the market to change accordingly.Looking forward to growthQuintoAndar has grown steadily, and today, the company employs over 4,000 people, with technical teams of more than 600. QuintoAndar is available in all five 5 regions of Brazil and more than 60 Brazilian cities, and is expanding internationally, starting with Mexico. Taking its lead from Google mentors, the company has adopted guiding principles of innovation, keeping customers at the center of decision-making, working collaboratively, and delivering results. If you want to learn more about how Google Cloud can help your startup, visit our pagehere to get more information about our program, and sign up for our communications to get a look at our community activities, digital events, special offers, and more.Related ArticleHow Google Cloud is helping more startups build, grow, and scale their businessesLearn how Google is investing in startups at the 2022 Google Cloud Startup Summit.Read Article
Quelle: Google Cloud Platform
Amazon CloudWatch unterstützt jetzt AWS-Elemental-MediaTailor-Protokolle als Teil von Vended Logs. Vended Logs sind spezifische AWS-Service-Protokolle, die von den AWS-Services im Namen des Kunden veröffentlicht werden und die zu einem Mengenrabatt erhältlich sind.
Quelle: aws.amazon.com
Wir freuen uns, die allgemeine Verfügbarkeit von Amazon EMR Serverless, anzukündigen, einer neuen serverlosen Bereitstellungsoption in Amazon EMR, die es Dateningenieuren und -analysten einfach und kostengünstig ermöglicht, Datenanalysen im Petabyte-Bereich in der Cloud durchzuführen. Amazon EMR ist eine Big-Data-Lösung, mit der Sie umfangreiche verteilte Datenverarbeitungsaufträge, interaktive SQL-Abfragen und Anwendungen für Machine Learning (ML) ausführen können, die auf Open-Source-Analyse-Frameworks wie Apache Spark , Apache Hive, und Presto basieren. Mit EMR Serverless können Sie Ihre Spark- und Hive-Anwendungen ausführen, ohne Clusters konfigurieren, optimieren, abstimmen oder verwalten zu müssen.
Quelle: aws.amazon.com
Heute gab AWS die Einführung von IP-basiertem Routing für Amazon Route 53 bekannt, den Cloud-Service für das Domain Name System (DNS) von AWS. Route 53 bietet Kunden mehrere Routing-Optionen, z. B. Geolocation-Routing, Geoproximity-Routing, latenzbasiertes Routing und gewichtetes Routing, um seine Endbenutzer zu optimalen Endpunkten zu leiten. Mit dem zusätzlichen IP-basierten Routing sind Kunden nun zusätzlich in der Lage, ihren DNS-Routing-Ansatz auf der Grundlage des CIDR-Blocks (Classless Inter-Domain Routing), zu dem die IP-Adresse, von der die Anfrage ausgeht, gehört, feinabzustimmen, sodass sie das Wissen über ihre Endnutzerbasis nutzen können, um die Leistung oder die Netzwerkübertragungskosten zu optimieren.
Quelle: aws.amazon.com
Amazon Relational Database Service (Amazon RDS) können jetzt Ereignisse in Amazon-Simple-Notification-Service (Amazon SNS)-Themen veröffentlichen, für die die serverseitige Verschlüsselung (SSE) aktiviert ist, um Ereignisse mit sensiblen Daten zusätzlich zu schützen. Amazon RDS gruppiert Ereignisse in Kategorien, die Sie abonnieren können, sodass Sie benachrichtigt werden, wenn ein Ereignis in dieser Kategorie eintritt, was Routing und Automatisierung ermöglicht.
Quelle: aws.amazon.com
Sie können jetzt die Verwendung von AWS Step Functions in einem neuen Workshop namens AWS-Step-Functions-Workshop erlernen. In diesem Tutorial zum Selbststudium lernen Sie anhand einer Reihe von interaktiven Modulen, wie Sie die wichtigsten Funktionen von Step Functions nutzen können. Jedes Modul enthält Unterrichtsmaterial, das Sie in Ihrem AWS-Konto bereitstellen können. Es behandelt Themen wie die Koordination und Orchestrierung von Anwendungsworkflows, die Verwaltung von Workflow-Status, die Erstellung von SDK-Integrationen mit anderen AWS-Services und vieles mehr.
Quelle: aws.amazon.com