Tag: Cache

Feed: Recent Announcements. Amazon Aurora with PostgreSQL compatibility now supports cluster cache management, providing a faster path to full performance if there's a failover. With cluster cache management, you designate a specific reader DB instance in your Aurora PostgreSQL cluster as the failover target. Cluster cache management keeps the data in the designated reader's cache synchronized with the data in the read-write instance's cache. If a failover occurs, the designated reader is promoted to be the new read-write instance, and workloads benefit immediately from the data in its cache. Without cluster cache management, when a read-write instance fails over to ... Read More

Feed: Microsoft Azure Blog. Author: Subra Sarma. We recently released Azure Application Gateway V2 and Web Application Firewall (WAF) V2. These SKUs are named Standard_v2 and WAF_v2 respectively and are fully supported with a 99.95% SLA. The new SKUs offer significant improvements and additional capabilities to customers: Autoscaling allows elasticity for your application by scaling the application gateway as needed based on your application’s traffic pattern. You no longer need to run application gateway at peak provisioned capacity, thus significantly saving on the cost. Zone redundancy enables your application gateway to survive zonal failures, offering better resilience to your application ... Read More

Feed: Microsoft Azure Blog. Author: Kirtana Venkatraman. Customers have been using Azure Stack in a number of different ways. We continue to see Azure Stack used in connected and disconnected scenarios, as a platform for building applications to deploy both on-premises as well as in Azure. Many customers want to just migrate existing applications over to Azure Stack as a starting point for their hybrid or edge journey. Whatever you decide to do once you’ve started on Azure Stack, it’s important to note that in any scenario, some functions are done differently here. One such function is capacity planning. As ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Kamal Arora. By Ashley Sole, Senior Engineering Manager at SkyscannerBy Rael Winters, CloudOps Product Manager at DevOpsGroupBy Kamal Arora, Sr. Manager, Solution Architecture at AWSCloud-native is one of the hottest topics in IT, so naturally it’s a source of much debate. Amazon Web Services (AWS), DevOpsGroup, and Skyscanner have teamed up to cut through the hype and offer an objective look at “going native” in the context of large-scale cloud adoption. DevOpsGroup is an AWS Partner Network (APN) Advanced Consulting Partner that offers digital transformation services based on DevOps practices. Skyscanner is a leading global ... Read More

Feed: CDH – Cloudera Engineering Blog. Author: Shelby Khan. HDFS erasure coding (EC), a major feature delivered in Apache Hadoop 3.0, is also available in CDH 6.1 for use in certain applications like Spark, Hive, and MapReduce. The development of EC has been a long collaborative effort across the wider Hadoop community. Including EC with CDH 6.1 helps customers adopt this new feature by adding Cloudera’s first-class enterprise support. While previous versions of HDFS achieved fault tolerance by replicating multiple copies of data (similar to RAID1 on traditional storage arrays), EC in HDFS significantly reduces storage overhead while achieving similar ... Read More

Feed: MemSQL Blog. Author: Jacky Liang. A columnstore database takes all the values in a given column – the zip code column in a customer database, for instance – and stores all the zip code values in a single row, with the column number as the first entry. So the start of a columnstore database’s ZIP code record might look like this: 5, 94063, 20474, 38654… The “5” at the beginning means that the ZIP code data is stored in the fifth column in the rowstore database of customer names and addresses that the original data comes from. Columnstore databases ... Read More

Feed: CDH – Cloudera Engineering Blog. Author: Krishna Maheshwari. Cloudera recently launched CDH 6.2 which includes two new key features in Apache HBase: Serial replication Bucket cache now supports Intel’s Optane memory Serial replication HBase has a sophisticated asynchronous replication mechanism that supports complex topologies today that include global round-robin, two way, span-in and span-out topologies. This replication capability, to date, provides eventual consistency — meaning that the order in which updates are replicated is not necessarily the same as the order in which they were applied to the database.  While this worked for many customers, order of updates on ... Read More

Feed: Planet MySQL; Author: The Pythian Group; (In the previous post, Part 6, we covered Replication.) In this final blog post, we conclude our series of exploring MyRocks by taking a look at use case considerations. After all, having knowledge of how an engine works is really only applicable if you feel like you’re in a good position to use it. Advantages of MyRocks Let’s start by talking about some of the advantages of MyRocks. Compression MyRocks will typically do a good job of reducing the physical footprint of your data. As I mentioned in my previous post in this ... Read More

Feed: O'Reilly Media, Inc. Upcoming Titles. Author: O'Reilly Media, Inc.. For data engineers and researchers new to stream processing, this practical book provides a professional reference that focuses on Apache Heron. Authors Huijun Wu and Maosong Fu from Twitter provide the basic knowledge you need to get started with this real-time processing engine. Learn how Heron serves as a general-purpose, modular, and extensible platform that you can use to support common real-time analytics use cases. Through the course of this book, you’ll discover approaches for tackling challenges in stream processing systems and applications. You’ll also understand how to build streaming ... Read More

Feed: Neo4j Graph Database Platform. Author: Bryce Merkl Sasaki. By Jim Webber, Chief Scientist, Neo4j | March 9, 2017Reading time: 8 minutes Neo4j is a native graph database, which means all of the code – from the web browser to the drivers, Bolt protocol, page cache, cluster protocols, disk storage format — is optimized for graph workloads. As hardware advances come along, we’re uniquely positioned to adapt our software design to make sure that graph workloads run flawlessly on these new compute and storage architectures.A Long Time Ago…A year or so ago, Max De Marzi did some very interesting benchmarks ... Read More