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Tag: performance
Amazon DocumentDB (with MongoDB compatibility) Performance Insights is now in preview
Feed: Recent Announcements. Amazon DocumentDB (with MongoDB compatibility) Performance Insights is a database performance tuning and monitoring feature that helps you quickly assess the load on your database and determine when and where to take action. Amazon DocumentDB Performance Insights allows developers and admins to measure database performance with an easy-to-understand dashboard that visualizes database load. With one click, you can add a fully managed performance monitoring solution to your DocumentDB instances. Performance Insights automatically gathers the necessary performance metrics and visualizes them in a dynamic dashboard on the Amazon DocumentDB console. You can identify your database’s top performance bottlenecks ... Read More
Increase remote storage performance with Azure Ebsv5 VMs—now generally available
Feed: Microsoft Azure Blog. Author: Priya Shan. At Microsoft Ignite in November 2021, we announced the memory-optimized Ev5 Azure Virtual Machine (VM) series based on the 3rd Gen Intel Xeon Platinum 8370C processor. The Ev5 VMs are designed for memory-intensive business-critical applications, relational database servers, and in-memory data analytics workloads. Today, we are announcing the general availability of the Ebsv5 VM series, a new addition to the Ev5 Azure VM family. The Ebsv5 and Ebdsv5 VMs offer up to 120,000 IOPS and 4,000MBps of remote disk storage throughput. They also include up to 512 GiB of RAM and local SSD storage ... Read More
Ecopaynet Chooses MySQL HeatWave Over AWS for Performance and Price
Feed: Planet MySQL; Author: Oracle MySQL Group; Ecopaynet's customer success story describes why they chose MySQL HeatWave over AWS to shorten their time to market and benefit from a better price-performance ... Read More
Use Amazon CodeGuru Profiler to monitor and optimize performance in Amazon Kinesis Data Analytics applications for Apache Flink

Feed: AWS Big Data Blog. Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data and gain actionable insights in real time with Apache Flink. Apache Flink is an open-source framework and engine for processing data streams in real time. Kinesis Data Analytics reduces the complexity of building and managing Apache Flink applications using open-source libraries and integrating with other AWS services. Kinesis Data Analytics is a fully managed service that takes care of everything required to run real-time streaming applications continuously and scale automatically to match the volume and throughput of your incoming data. As you ... Read More
Optimizing AWS Lambda function performance for Java

Feed: AWS Compute Blog. Author: Benjamin Smith. This post is written by Mark Sailes, Senior Specialist Solutions Architect. This blog post shows how to optimize the performance of AWS Lambda functions written in Java, without altering any of the function code. It shows how Java virtual machine (JVM) settings affect the startup time and performance. You also learn how you can benchmark your applications to test these changes. When a Lambda function is invoked for the first time, or when Lambda is horizontally scaling to handle additional requests, an execution environment is created. The first phase in the execution environment’s ... Read More
Up to 15 times improvement in Hive write performance with the Amazon EMR Hive zero-rename feature

Feed: AWS Big Data Blog. Our customers use Apache Hive on Amazon EMR for large-scale data analytics and extract, transform, and load (ETL) jobs. Amazon EMR Hive uses Apache Tez as the default job execution engine, which creates Directed Acyclic Graphs (DAGs) to process data. Each DAG can contain multiple vertices from which tasks are created to run the application in parallel. Their final output is written to Amazon Simple Storage Service (Amazon S3). Hive initially writes data to staging directories and then move it to the final location after a series of rename operations. This design of Hive renames ... Read More
Laurenz Albe: Query parameter data types and performance

Feed: Planet PostgreSQL. © Laurenz Albe 2022Recently, I could help solve a “mysterious” performance problem for a customer. The problem turned out to be a badly chosen query parameter type, which led to poor query performance. After working on this customer’s case, I realized that the meaning of the data type of a query parameter is not universally understood, which is why I decided to write this article.What are query parameters?In SQL, we often encounter queries that only differ in constant values, for example SELECT val FROM large WHERE id = 42; SELECT val FROM large WHERE id = 4711; ... Read More
Opera vs Chrome in 2022: Web Browser Features, Performance & Security Compared
Feed: Cloudwards. Author: Max Pitchkites; Opera launched in 1995, and it gained a following for its built-in email client and for continuing to develop other unique features. Google Chrome overshadowed Opera after it came to prominence in 2008, but Opera adapted to Google’s ways and held onto its small but loyal user base. Find out which is the better browser in our Opera vs Chrome comparison. Key Takeaways: Opera is designed to reduce the need for extensions by including a wide range of built-in functions.Google Chrome’s Safe Browsing offers more complete protection against phishing and malware than the Phishtank and ... Read More
Best Practices from OST for Optimizing IoT Cloud Platform Costs and Performance on AWS

Feed: AWS Partner Network (APN) Blog. Author: Amanda Malaric. By Amanda Malaric, IoT Development Consultant – OST OST When working with an Internet of Things (IoT) solution and expertly crafted architecture, new features can be implemented in record time, giving your product a real competitive edge. But what happens to costs when those new features are not monitored? How do you scale your Amazon Web Services (AWS) environment as your fleet grows? IoT platform managers continually strive to update and evolve platforms, and the largest pain point is cost. Common challenges include: When product owners ask about new feature sets, ... Read More
Best practices for right-sizing your Apache Kafka clusters to optimize performance and cost

Feed: AWS Big Data Blog. Apache Kafka is well known for its performance and tunability to optimize for various use cases. But sometimes it can be challenging to find the right infrastructure configuration that meets your specific performance requirements while minimizing the infrastructure cost. This post explains how the underlying infrastructure affects Apache Kafka performance. We discuss strategies on how to size your clusters to meet your throughput, availability, and latency requirements. Along the way, we answer questions like “when does it make sense to scale up vs. scale out?” We end with guidance on how to continuously verify the ... Read More
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