Tag: scaling

Feed: Recent Announcements. Amazon ElastiCache for Redis auto scaling is now generally available in all public AWS regions excluding AWS GovCloud (US) and AWS China (Beijing and Ningxia) Regions. Amazon ElastiCache for Redis auto scaling enables you to automatically adjust capacity to maintain steady, predictable performance at lower costs. It uses AWS Application Auto Scaling to manage scaling and Amazon CloudWatch metrics to determine when it is time to scale up or down. ElastiCache for Redis supports target tracking and scheduled auto scaling policies. With target tracking, you define a target metric and ElastiCache for Redis adjusts resource capacity in ... Read More

Feed: Domo Blog. Author: Jay Heglar. One of the most rewarding aspects of working with both Domo’s product organization and customers is seeing how the Domo platform is being used to deliver critical business outcomes for some of the world’s largest organizations. When I meet with such customers, I typically ask a key question: In what ways are you scaling your use of data and analytics across your enterprise?  The responses typically fall into one of four categories. They’re either making mind-boggling amounts of data consumable, fast; they’re giving more people across the entire organization access to data and analytics; they’re setting up environments where their BI teams can innovate; or they’re doing all of the above ... Read More

Feed: Planet PostgreSQL. Introduction As a PostgreSQL Support Engineer, one common scenario we experience is a slow system on a reasonably powerful machine. In these cases, we often see that max_connections is set to 10,000 or more, sometimes even as high as 30,000. While we will advise that max_connections is too high and needs to be lowered, the usual response is, “Well, most of those connections are idle, so they shouldn’t affect performance.” This statement is not true, as an idle connection is not weightless. In this article, we’ll explore why a high idle connection count can be detrimental to ... Read More

Feed: AWS Architecture Blog. The marketing industry collects and uses data from various stages of the customer journey. When they analyze this data, they establish metrics and develop actionable insights that are then used to invest in customers and generate revenue. If you’re a data scientist or developer in the marketing industry, you likely often use containers for services like collecting and preparing data, developing machine learning models, and performing statistical analysis. Because the types and amount of marketing data collected are quickly increasing, you’ll need a solution to manage the scale, costs, and number of required data analytics integrations ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Joydeep Bhattacharya. Data science and AI has become a requirement for business growth. The technology has advanced enough to predict customer’s choices and satisfy their needs.  The volume of data generated per day is predicted to reach 463 exabytes by 2025. On the Internet, the world spends about $1 million per minute on goods. This huge amount of data, known as big data, has increased the need for qualified data science workers.  According to the US Bureau of Labor Statistics, the employment of data scientists is predicted to grow 15% by ... Read More

Feed: Recent Announcements. Amazon ElastiCache for Redis now supports auto scaling to automatically adjust capacity to maintain steady, predictable performance at the lowest possible cost. You can automatically scale your cluster horizontally by adding or removing shards or replica nodes. ElastiCache for Redis uses AWS Application Auto Scaling to manage scaling and Amazon CloudWatch metrics to determine when it is time to scale up or down.  ElastiCache for Redis supports target tracking and scheduled auto scaling policies. With target tracking, you define a target metric and ElastiCache for Redis adjusts resource capacity in response to live changes in resource utilization ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Allan Denot. By Allan Denot, CTO – DNX SolutionsBy Sriwantha Attanayake, Sr. Partner Solution Architect – AWS Many customers at DNX Solutions struggle with different facets of their cloud platform optimization, but scalability is usually identified as one of the main factors to drive a cloud modernization project. In a recent engagement, DNX Solutions supported ScanX—a Tokyo-based company specializing in 3D laser scan data processing—to improve scalability of their data platform, migrating from a monolithic architecture to a set of distributed services. Concurrently, DNX Solutions modernized the customer’s heavy image processing jobs, and ... Read More

Feed: Recent Announcements. Amazon EC2 Auto Scaling Instance Refresh now supports performing updates to the Auto Scaling group (ASG) configuration as well as the ability to skip replacing already updated instances during an Instance Refresh. These new capabilities make it easier to deploy changes to an Amazon Machine Image (AMI) or install additional software in a controlled manner. To help you further deploy updates on Auto Scaling instances, we are also announcing four new Instance Refresh-based event notifications available through Amazon EventBridge. Instance Refresh now enables customers to avoid replacing instances if those instances already have the desired configuration. Using ... Read More

Feed: Recent Announcements. Amazon EC2 Auto Scaling now lets you control which instances to terminate during a scale-in event by allowing you to provide a custom function that selects which instances to terminate. Previously, you could use one of the predefined termination policies to determine which instances Auto Scaling would terminate. (For example, the OldestLaunchTemplate termination policy would terminate instances in order of their launch template age, oldest first.) Now, you can provide a custom Lambda function that indicates which instances are safe to terminate on scale in. This feature is useful for stateful applications where you want to control ... Read More

Feed: Journey to AI Blog; Author: Jennifer Clemente; The COVID-19 pandemic has revealed both our collective fragility and resilience – and for many organizations, it was also an impetus to charge ahead with their AI plans. According to IDC, worldwide spending on AI technology is expected to more than double over the next four years  [1]. As AI secures top billing on the world’s technology stage, CIOs and CDOs leading the charge are finally, finally, getting their chance to connect the right data to the right people at the right time, infusing AI throughout the business. But as organizations look ... Read More