Tag: workflow

Feed: Recent Announcements. AWS Step Functions allows you to build resilient serverless workflows using AWS services such as AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and more. Express Workflows, a type of AWS Step Functions workflows, allows you to cost-effectively orchestrate high-event-rate workloads that use AWS compute, database, and messaging services. Express Workflows ensures that the steps in your workflow are followed reliably, that information is passed between steps, and that errors are handled automatically. Synchronous Express Workflows are ideal to manage high-volume, short duration, synchronous workflows such as the orchestration of microservices behind Amazon API Gateway. For example, capture responses ... Read More

Feed: AWS Compute Blog. Author: Benjamin Smith. Today, AWS is introducing Synchronous Express Workflows for AWS Step Functions. This is a new way to run Express Workflows to orchestrate AWS services at high-throughput. Developers have been using asynchronous Express Workflows since December 2019 for workloads that require higher event rates and shorter durations. Customers were looking for ways to receive an immediate response from their Express Workflows without having to write additional code or introduce additional services. What’s new? Synchronous Express Workflows allow developers to quickly receive the workflow response without needing to poll additional services or build a custom ... Read More

Feed: AWS Big Data Blog. In May 2020, we announced the general availability of real-time anomaly detection for Elasticsearch. With that release we leveraged the Random Cut Forest (RCF) algorithm to identify anomalous behaviors in the multi-dimensional data streams generated by Elasticsearch queries. We focused on aggregation first, to enable our users to quickly and accurately detect anomalies in their data streams. However, consider the example data in the following table. timestamp avg. latency region 12:00 pm 3.1 Seattle 12:00 pm 4.1 New York 12:00 pm 5.9 Berlin 12:01 pm 2.6 Seattle 12:01 pm 5.3 New York 12:01 pm 5.8 ... Read More

Feed: Recent Announcements. Organizations want to leverage massive amounts of data for analytics and insights. To effectively use this data, customers often need to first build a workflow that defines the series of sequential tasks that prepare and process the data. Many customers use Apache Airflow to take advantage of its open source community and large library of pre-built integrations to third-party data processing tools such as Apache Spark and Hadoop. With Apache Airflow, workflows are created as Python scripts that are familiar to data engineers and data scientists. However, data engineers need to install, maintain, scale, and secure Airflow ... Read More

Feed: AWS Big Data Blog. AWS Glue provides a serverless environment to prepare (extract and transform) and load large amounts of datasets from a variety of sources for analytics and data processing with Apache Spark ETL jobs. This posts discusses a new AWS Glue Spark runtime optimization that helps developers of Apache Spark applications and ETL jobs, big data architects, data engineers, and business analysts scale their data processing and batch jobs running on AWS Glue automatically. Customers use Spark for a wide variety of ETL and analytics workloads on datasets with diverse characteristics. They want to ensure fast and ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Oded Rosenmann. By Oded Rosenmann, SaaS Business Lead at AWS The software-as-as-service (SaaS) delivery model has become increasingly appealing to a wide range of companies. While new and existing application providers are anxious to reap the rewards that are associated with this delivery model, the journey to SaaS can have a large impact on a business. For many, the move to SaaS represents a significant transformational event that requires companies to examine all the moving parts of their business. How products are sold, marketed, built, supported, and monetized—these are amongst a long list ... Read More

Feed: AWS Compute Blog. Author: Benjamin Smith. AWS Step Functions now integrates with Amazon API Gateway to enable backend orchestration with minimal code and built-in error handling. API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. These APIs enable applications to access data, business logic, or functionality from your backend services. Step Functions allows you to build resilient serverless orchestration workflows with AWS services such as AWS Lambda, Amazon SNS, Amazon DynamoDB, and more. AWS Step Functions integrates with a number of services natively. Using Amazon ... Read More

Feed: Big Data Made Simple. Author: Guest. Several customer experience trends indicate consumers have a high set of expectations from support teams. They expect a quick response, faster resolution, and superb experience. To meet these demands and ensure meaningful conversations, firms need to implement the best ticketing system and practices. Here’re tried and tested tips that can ensure outstanding customer service.Private and public SLAsSLA, also known as service level agreement, is a commitment made by the service provider with the consumer. It points out the service standards, responsibilities, first-response time, and a timeframe required to resolve the ticket’s issues.SLAs play ... Read More

Feed: R-bloggers. Author: Tim M. Schendzielorz. Continuous Deployment made easy with GitHub Actions and Heroku This article is a short guide on deploying a Shiny app on Heroku. Familiarity with Docker, Shiny and GitHub is presumed. For an introduction to Docker, see Deploying a Shiny Flexdashboard with Docker. This article was also published on https://www.r-bloggers.com/. This article will show you What Heroku is and what you can get for free How to containerize a Shiny app with Docker How to set up GitHub to automatically deploy to Heroku How to set up a custom domain name for your deployed app Heroku free tier Heroku (which I am not ... Read More

Feed: CIO. Author: . The perception that the disruptions of 2020 would result in IT projects being stalled or retired hasn’t played out. Rather, it’s the opposite. While overall IT budgets have declined, in areas critical to business health, such as digital transformation, investment is booming. IDC data suggests that spending on digital transformation projects will grow 10.4 per cent for the year.The reason behind the investment ranges from organisations looking to fortify their business resilience through the disruption (for example, by allowing staff to work remotely), through to a desire to prepare the business for the other end of ... Read More