Podcasts about google cloud sql

In this episode, Lois Houston and Nikita Abraham are joined by Autumn Black to discuss MySQL Database, a fully-managed database service powered by the integrated HeatWave in-memory query accelerator.   Oracle MyLearn: https://mylearn.oracle.com/ Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ Twitter: https://twitter.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Deepak Modi, Ranbir Singh, and the OU Studio Team for helping us create this episode.   ---------------------------------------------------------   Episode Transcript: 00;00;00;00 - 00;00;39;08 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started. Hello and welcome to the Oracle University Podcast. You're listening to our second season Oracle Database Made Easy. I'm Lois Houston, Director of Product Innovation and Go to Market Programs with Oracle University.   00;00;39;10 - 00;01;08;03 And with me is Nikita Abraham, Principal Technical Editor. Hi, everyone. In our last episode, we had a really fascinating conversation about Oracle Machine Learning with Cloud Engineer Nick Commisso. Do remember to catch that episode if you missed it. Today, we have with us Autumn Black, who's an Oracle Database Specialist. Autumn is going to take us through MySQL, the free version and the Enterprise Edition, and MySQL Data Service.   00;01;08;05 - 00;01;39;16 We're also going to ask her about HeatWave. So let's get started. Hi, Autumn. So tell me, why is MySQL such a popular choice for developers? MySQL is the number one open-source database and the second most popular database overall after the Oracle Database. According to a Stack Overflow survey, MySQL has been for a long time and remains the number one choice for developers, primarily because of its ease of use, reliability, and performance.   00;01;39;17 - 00;02;08;22 And it's also big with companies? MySQL is used by the world's most innovative companies. This includes Twitter, Facebook, Netflix, and Uber. It is also used by students and small companies. There are different versions of MySQL, right? What are the main differences between them when it comes to security, data recovery, and support? MySQL comes in two flavors: free version or paid version.   00;02;08;24 - 00;02;45;05 MySQL Community, the free version, contains the basic components for handling data storage. Just download it, install it, and you're ready to go. But remember, free has costs. That stored data is not exactly secure and data recovery is not easy and sometimes impossible. And there is no such thing as free MySQL Community support. This is why MySQL Enterprise Edition was created, to provide all of those missing important pieces: high availability, security, and Oracle support from the people who build MySQL.   00;02;45;10 - 00;03;09;24 You said MySQL is open source and can be easily downloaded and run. Does it run on-premises or in the cloud? MySQL runs on a local computer, company's data center, or in the cloud. Autumn, can we talk more about MySQL in the cloud? Today, MySQL can be found in Amazon RDS and Aurora, Google Cloud SQL, and Microsoft Azure Database for MySQL.   00;03;09;27 - 00;03;35;23 They all offer a cloud-managed version of MySQL Community Edition with all of its limitations. These MySQL cloud services are expensive and it's not easy to move data away from their cloud. And most important of all, they do not include the MySQL Enterprise Edition advanced features and tools. And they are not supported by the Oracle MySQL experts.   00;03;35;25 - 00;04;07;03 So why is MySQL Database Service in Oracle Cloud Infrastructure better than other MySQL cloud offerings? How does it help data admins and developers? MySQL Database Service in Oracle Cloud Infrastructure is the only MySQL database service built on MySQL Enterprise Edition and 100% built, managed, and supported by the MySQL team. Let's focus on the three major categories that make MySQL Database Service better than the other MySQL cloud offerings: ease of use, security, and enterprise readiness.   00;04;07;03 - 00;04;44;24 MySQL DBAs tend to be overloaded with mundane database administration tasks. They're responsible for many databases, their performance, security, availability, and more. It is difficult for them to focus on innovation and on addressing the demands of lines of business. MySQL is fully managed on OCI. MySQL Database Service automates all those time-consuming tasks so they can improve productivity and focus on higher value tasks.   00;04;44;26 - 00;05;07;13 Developers can quickly get all the latest features directly from the MySQL team to deliver new modern apps. They don't get that on other clouds that rely on outdated or forked versions of MySQL. Developers can use the MySQL Document Store to mix and match SQL and NoSQL content in the same database as well as the same application.   00;05;07;19 - 00;05;30;26 Yes. And we're going to talk about MySQL Document Store in a lot more detail in two weeks, so don't forget to tune in to that episode. Coming back to this, you spoke about how MySQL Database Service or MDS on OCI is easy to use. What about its security? MDS security first means it is built on Gen 2 cloud infrastructure.   00;05;30;28 - 00;05;57;13 Data is encrypted for privacy. Data is on OCI block volume. So what does this Gen 2 cloud infrastructure offer? Is it more secure? Oracle Cloud is secure by design and architected very differently from the Gen 1 clouds of our competitors. Gen 2 provides maximum isolation and protection. That means Oracle cannot see customer data and users cannot access our cloud control computer.   00;05;57;15 - 00;06;27;09 Gen 2 architecture allows us to offer superior performance on our compute objects. Finally, Oracle Cloud is open. Customers can run Oracle software, third-party options, open source, whatever you choose without modifications, trade-offs, or lock-ins. Just to dive a little deeper into this, what kind of security features does MySQL Database Service offer to protect data? Data security has become a top priority for all organizations.   00;06;27;12 - 00;06;55;17 MySQL Database Service can help you protect your data against external attacks, as well as internal malicious users with a range of advanced security features. Those advanced security features can also help you meet industry and regulatory compliance requirements, including GDPR, PCI, and HIPPA. When a security vulnerability is discovered, you'll get the fix directly from the MySQL team, from the team that actually develops MySQL.   00;06;55;19 - 00;07;22;16 I want to talk about MySQL Enterprise Edition that you brought up earlier. Can you tell us a little more about it? MySQL Database Service is the only public cloud service built on MySQL Enterprise Edition, which includes 24/7 support from the team that actually builds MySQL, at no additional cost. All of the other cloud vendors are using the Community Edition of MySQL, so they lack the Enterprise Edition features and tools.   00;07;22;22 - 00;07;53;24 What are some of the default features that are available in MySQL Database Service? MySQL Enterprise scalability, also known as the thread pool plugin, data-at-rest encryption, native backup, and OCI built-in native monitoring. You can also install MySQL Enterprise Monitor to monitor MySQL Database Service remotely. MySQL works well with your existing Oracle investments like Oracle Data Integrator, Oracle Analytics Cloud, Oracle GoldenGate, and more.   00;07;53;27 - 00;08;17;20 MySQL Database Service customers can easily use Docker and Kubernetes for DevOps operations. So how much of this is managed by the MySQL team and how much is the responsibility of the user? MySQL Database Service is a fully managed database service. A MySQL Database Service user is responsible for logical schema modeling, query design and optimization, define data access and retention policies.   00;08;17;22 - 00;08;44;26 The MySQL team is responsible for providing automation for operating system installation, database and OS patching, including security patches, backup, and recovery. The system backs up the data for you, but in an emergency, you can restore it to a new instance with a click. Monitoring and log handling. Security with advanced options available in MySQL Enterprise Edition.   00;08;44;28 - 00;09;01;18 And of course, maintaining the data center for you. To use MDS, users must have OCI tenancy, a compartment, belong to a group with required policies.   00;09;01;21 - 00;09;28;28 Did you know that Oracle University offers free courses on Oracle Cloud Infrastructure? You'll find training on everything from cloud computing, database, and security to artificial intelligence and machine learning, all of which is available free to subscribers. So get going. Pick a course of your choice, get certified, join the Oracle University Learning Community, and network with your peers. If you're already an Oracle MyLearn user, go to MyLearn to begin your journey.   00;09;29;03 - 00;09;40;24 If you have not yet accessed Oracle MyLearn, visit mylearn.oracle.com and create an account to get started.   00;09;40;27 - 00;10;05;20 Welcome back! Autumn, tell us about the system architecture of MySQL Database Service. A database system is a logical container for the MySQL instance. It provides an interface enabling management of tasks, such as provisioning, backup and restore, monitoring, and so on. It also provides a read and write endpoint, enabling you to connect to the MySQL instance using the standard protocols.   00;10;05;28 - 00;10;31;27 And what components does a MySQL Database Service DB system consist of? A computer instance, an Oracle Linux operating system, the latest version of MySQL server Enterprise Edition, a virtual network interface card, VNIC, that attaches the DB system to a subnet of the virtual cloud network, network-attached higher performance block storage. Is there a way to monitor how the MySQL Database Service is performing?   00;10;31;29 - 00;10;59;29 You can monitor the health, capacity, and performance of your Oracle Cloud Infrastructure MySQL Database Service resources by using metrics, alarms, and notifications. The MySQL Database Service metrics enable you to measure useful quantitative data about your MySQL databases such as current connection information, statement activity, and latency, host CPU, memory, and disk I/O utilization, and so on.   00;11;00;03 - 00;11;23;15 You can use metrics data to diagnose and troubleshoot problems with MySQL databases. What should I keep in mind about managing the SQL database? Stopped MySQL Database Service system stops billing for OCPUs, but you also cannot connect to the DB system. During MDS automatic update, the operating system is upgraded along with patching of the MySQL server.   00;11;23;17 - 00;11;49;15 Metrics are used to measure useful data about MySQL Database Service system. Turning on automatic backups is an update to MDS to enable automatic backups. MDS backups can be removed by using the details pages and OCI and clicking Delete. Thanks for that detailed explanation on MySQL, Autumn. Can you also touch upon MySQL HeatWave? Why would you use it over traditional methods of running analytics on MySQL data?   00;11;49;18 - 00;12;18;01 Many organizations choose MySQL to store their valuable enterprise data. MySQL is optimized for Online Transaction Processing, OLTP, but it is not designed for Online Analytic Processing, OLAP. As a result, organizations that need to efficiently run analytics on data stored in MySQL database move their data to another database to run analytic applications such as Amazon Redshift.   00;12;18;04 - 00;12;41;22 MySQL HeatWave is designed to enable customers to run analytics on data that is stored in MySQL database without moving data to another database. What are the key features and components of HeatWave? HeatWave is built on an innovative in-memory analytics engine that is architected for scalability and performance, and is optimized for Oracle Cloud Infrastructure, OCI.   00;12;41;24 - 00;13;05;29 It is enabled when you add a HeatWave cluster to a MySQL database system. A HeatWave cluster comprises a MySQL DB system node and two or more HeatWave nodes. The MySQL DB system node includes a plugin that is responsible for cluster management, loading data into the HeatWave cluster, query scheduling, and returning query results to the MySQL database system.   00;13;06;02 - 00;13;29;15 The HeatWave nodes store data and memory and processed analytics queries. Each HeatWave node contains an instance of the HeatWave. The number of HeatWave nodes required depends on the size of your data and the amount of compression that is achieved when loading the data into the HeatWave cluster. Various aspects of HeatWave use machine-learning-driven automation that helps to reduce database administrative costs.   00;13;29;18 - 00;13;52;11 Thanks, Autumn, for joining us today. We're looking forward to having you again next week to talk to us about Oracle NoSQL Database Cloud Service. To learn more about MySQL Data Service, head over to mylearn.oracle.com and look for the Oracle Cloud Data Management Foundations Workshop. Until next time, this is Nikita Abraham and Lois Houston signing off.   00;13;52;14 - 00;16;33;05 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

On The Cloud Pod this week, the team discusses shorting Jim Chanos amid the great cloud giant vs. colo standoff. Plus: Google prepares for a post-quantum world, Amazon EC2 M1 Mac instances are now generally available, and master of marketing Oracle introduces sovereign cloud regions for the European Union. A big thanks to this week's sponsor, Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. This week's highlights

On The Cloud Pod this week, the team struggles with scheduling to get everyone in the same room for just one week. Plus, Microsoft increases pay for talent retention while changing licensing for European Cloud Providers, Google Cloud introduces AlloyDB for PostgreSQL, and AWS announces EC2 support for NitroTPM. A big thanks to this week's sponsor, Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. This week's highlights

On The Cloud Pod this week and with half the team gone fishin', Justin and Peter hash it out short and sweet. Plus Google Cloud SQL Insights, Atlassian suffers an outage, and AWS finally offers accessible Lambda Function URLs. A big thanks to this week's sponsor, Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. This week's highlights

Pull your podcast player out of instant retrieval, because we're discussing re:Invent 2021 as well as the weeks before it. Lots of announcements; big, small, weird, awesome, and anything in between. We had fun with this episode and hope you do too. Find us at melb.awsug.org.au or as @AWSMelb on Twitter. News Finally in Sydney AWS Snowcone SSD is now available in the US East (Ohio), US West (San Francisco), Asia Pacific (Singapore), Asia Pacific (Sydney) and AWS Asia Pacific (Tokyo) regions Amazon EC2 M6i instances are now available in 5 additional regions Serverless Introducing Amazon EMR Serverless in preview Announcing Amazon Kinesis Data Streams On-Demand Announcing Amazon Redshift Serverless (Preview) Introducing Amazon MSK Serverless in public preview Introducing Amazon SageMaker Serverless Inference (preview) Simplify CI/CD Configuration for AWS Serverless Applications and your favorite CI/CD system – General Availability Amazon AppStream 2.0 launches Elastic fleets, a serverless fleet type AWS Chatbot now supports management of AWS resources in Slack (Preview) Lambda AWS Lambda now supports partial batch response for SQS as an event source AWS Lambda now supports cross-account container image pulling from Amazon Elastic Container Registry AWS Lambda now supports mTLS Authentication for Amazon MSK as an event source AWS Lambda now logs Hyperplane Elastic Network Interface (ENI) ID in AWS CloudTrail data events Step Functions AWS Step Functions Synchronous Express Workflows now supports AWS PrivateLink Amplify Introducing AWS Amplify Studio AWS Amplify announces the ability to override Amplify-generated resources using CDK AWS Amplify announces the ability to add custom AWS resources to Amplify-created backends using CDK and CloudFormation AWS Amplify UI launches new Authenticator component for React, Angular, and Vue AWS Amplify announces the ability to export Amplify backends as CDK stacks to integrate into CDK-based pipelines AWS Amplify expands its Notifications category to include in-app messaging (Developer Preview) AWS Amplify announces a redesigned, more extensible GraphQL Transformer for creating app backends quickly Containers Fargate Announcing AWS Fargate for Amazon ECS Powered by AWS Graviton2 Processors ECS Amazon ECS now adds container instance health information Amazon ECS has improved Capacity Providers to deliver faster Cluster Auto Scaling Amazon ECS-optimized AMI is now available as an open-source project Amazon ECS announces a new integration with AWS Distro for OpenTelemetry EKS Amazon EKS on AWS Fargate now Supports the Fluent Bit Kubernetes Filter Amazon EKS adds support for additional cluster configuration options using AWS CloudFormation Visualize all your Kubernetes clusters in one place with Amazon EKS Connector, now generally available AWS Karpenter v0.5 Now Generally Available AWS customers can now find, subscribe to, and deploy third-party applications that run in any Kubernetes environment from AWS Marketplace Other Amazon ECR announces pull through cache repositories AWS App Mesh now supports ARM64-based Envoy Images EC2 & VPC Instances New – EC2 Instances (G5) with NVIDIA A10G Tensor Core GPUs | AWS News Blog Announcing new Amazon EC2 G5g instances powered by AWS Graviton2 processors Introducing Amazon EC2 R6i instances Introducing two new Amazon EC2 bare metal instances Amazon EC2 Mac Instances now support hot attach and detach of EBS volumes Amazon EC2 Mac Instances now support macOS Monterey Announcing Amazon EC2 M1 Mac instances for macOS Announcing preview of Amazon Linux 2022 Elastic Beanstalk supports AWS Graviton-based Amazon EC2 instance types Announcing preview of Amazon EC2 Trn1 instances Announcing new Amazon EC2 C7g instances powered by AWS Graviton3 processors Announcing new Amazon EC2 Im4gn and Is4gen instances powered by AWS Graviton2 processors Introducing the AWS Graviton Ready Program Introducing Amazon EC2 M6a instances AWS Compute Optimizer now offers enhanced infrastructure metrics, a new feature for EC2 recommendations AWS Compute Optimizer now offers resource efficiency metrics Networking AWS price reduction for data transfers out to the internet Amazon Virtual Private Cloud (VPC) customers can now create IPv6-only subnets and EC2 instances Application Load Balancer and Network Load Balancer end-to-end IPv6 support AWS Transit Gateway introduces intra-region peering for simplified cloud operations and network connectivity Amazon Virtual Private Cloud (VPC) announces IP Address Manager (IPAM) to help simplify IP address management on AWS Amazon Virtual Private Cloud (VPC) announces Network Access Analyzer to help you easily identify unintended network access Introducing AWS Cloud WAN Preview Introducing AWS Direct Connect SiteLink Other Recover from accidental deletions of your snapshots using Recycle Bin Amazon EBS Snapshots introduces a new tier, Amazon EBS Snapshots Archive, to reduce the cost of long-term retention of EBS Snapshots by up to 75% Amazon CloudFront now supports configurable CORS, security, and custom HTTP response headers Amazon EC2 now supports access to Red Hat Knowledgebase Amazon EC2 Fleet and Spot Fleet now support automatic instance termination with Capacity Rebalancing AWS announces a new capability to switch license types for Windows Server and SQL Server applications on Amazon EC2 AWS Batch introduces fair-share scheduling Amazon EC2 Auto Scaling Now Supports Predictive Scaling with Custom Metrics Dev & Ops New services Measure and Improve Your Application Resilience with AWS Resilience Hub | AWS News Blog Scalable, Cost-Effective Disaster Recovery in the Cloud | AWS News Blog Announcing general availability of AWS Elastic Disaster Recovery AWS announces the launch of AWS AppConfig Feature Flags in preview Announcing Amazon DevOps Guru for RDS, an ML-powered capability that automatically detects and diagnoses performance and operational issues within Amazon Aurora Introducing Amazon CloudWatch Metrics Insights (Preview) Introducing Amazon CloudWatch RUM for monitoring applications' client-side performance IaC AWS announces Construct Hub general availability AWS Cloud Development Kit (AWS CDK) v2 is now generally available You can now import your AWS CloudFormation stacks into a CloudFormation stack set You can now submit multiple operations for simultaneous execution with AWS CloudFormation StackSets AWS CDK releases v1.126.0 - v1.130.0 with high-level APIs for AWS App Runner and hotswap support for Amazon ECS and AWS Step Functions SDKs AWS SDK for Swift (Developer Preview) AWS SDK for Kotlin (Developer Preview) AWS SDK for Rust (Developer Preview) CICD AWS Proton now supports Terraform Open Source for infrastructure provisioning AWS Proton introduces Git management of infrastructure as code templates AWS App2Container now supports Jenkins for setting up a CI/CD pipeline Other Amazon CodeGuru Reviewer now detects hardcoded secrets in Java and Python repositories EC2 Image Builder enables sharing Amazon Machine Images (AMIs) with AWS Organizations and Organization Units Amazon Corretto 17 Support Roadmap Announced Amazon DevOps Guru now Supports Multi-Account Insight Aggregation with AWS Organizations AWS Toolkits for Cloud9, JetBrains and VS Code now support interaction with over 200 new resource types AWS Fault Injection Simulator now supports Amazon CloudWatch Alarms and AWS Systems Manager Automation Runbooks. AWS Device Farm announces support for testing web applications hosted in an Amazon VPC Amazon CloudWatch now supports anomaly detection on metric math expressions Introducing Amazon CloudWatch Evidently for feature experimentation and safer launches New – Amazon CloudWatch Evidently – Experiments and Feature Management | AWS News Blog Introducing AWS Microservice Extractor for .NET Security AWS Secrets Manager increases secrets limit to 500K per account AWS CloudTrail announces ErrorRate Insights AWS announces the new Amazon Inspector for continual vulnerability management Amazon SQS Announces Server-Side Encryption with Amazon SQS-managed encryption keys (SSE-SQS) AWS WAF adds support for Captcha AWS Shield Advanced introduces automatic application-layer DDoS mitigation Security Hub AWS Security Hub adds support for AWS PrivateLink for private access to Security Hub APIs AWS Security Hub adds three new FSBP controls and three new partners SSO Manage Access Centrally for CyberArk Users with AWS Single Sign-On Manage Access Centrally for JumpCloud Users with AWS Single Sign-On AWS Single Sign-On now provides one-click login to Amazon EC2 instances running Microsoft Windows AWS Single Sign-On is now in scope for AWS SOC reporting Control Tower AWS Control Tower now supports concurrent operations for detective guardrails AWS Control Tower now supports nested organizational units AWS Control Tower now provides controls to meet data residency requirements Deny services and operations for AWS Regions of your choice with AWS Control Tower AWS Control Tower introduces Terraform account provisioning and customization Data Storage & Processing Databases Relational databases Announcing Amazon RDS Custom for SQL Server New Multi-AZ deployment option for Amazon RDS for PostgreSQL and for MySQL; increased read capacity, lower and more consistent write transaction latency, and shorter failover time (Preview) Amazon RDS now supports cross account KMS keys for exporting RDS Snapshots Amazon Aurora supports MySQL 8.0 Amazon RDS on AWS Outposts now supports backups on AWS Outposts Athena Amazon Athena adds cost details to query execution plans Amazon Athena announces cross-account federated query New and improved Amazon Athena console is now generally available Amazon Athena now supports new Lake Formation fine-grained security and reliable table features Announcing Amazon Athena ACID transactions, powered by Apache Iceberg (Preview) Redshift Announcing preview for write queries with Amazon Redshift Concurrency Scaling Amazon Redshift announces native support for SQLAlchemy and Apache Airflow open-source frameworks Amazon Redshift simplifies the use of other AWS services by introducing the default IAM role Announcing Amazon Redshift cross-region data sharing (preview) Announcing preview of SQL Notebooks support in Amazon Redshift Query Editor V2 Neptune Announcing AWS Graviton2-based instances for Amazon Neptune AWS releases open source JDBC driver to connect to Amazon Neptune MemoryDB Amazon MemoryDB for Redis now supports AWS Graviton2-based T4g instances and a 2-month Free Trial Database Migration Service AWS Database Migration Service now supports parallel load for partitioned data to S3 AWS Database Migration Service now supports Kafka multi-topic AWS Database Migration Service now supports Azure SQL Managed Instance as a source AWS Database Migration Service now supports Google Cloud SQL for MySQL as a source Introducing AWS DMS Fleet Advisor for automated discovery and analysis of database and analytics workloads (Preview) AWS Database Migration Service now offers a new console experience, AWS DMS Studio AWS Database Migration Service now supports Time Travel, an improved logging mechanism Other Database Activity Streams now supports Graviton2-based instances Amazon Timestream now offers faster and more cost-effective time series data processing through scheduled queries, multi-measure records, and magnetic storage writes Amazon DynamoDB announces the new Amazon DynamoDB Standard-Infrequent Access table class, which helps you reduce your DynamoDB costs by up to 60 percent Achieve up to 30% better performance with Amazon DocumentDB (with MongoDB compatibility) using new Graviton2 instances S3 Amazon S3 on Outposts now delivers strong consistency automatically for all applications Amazon S3 Lifecycle further optimizes storage cost savings with new actions and filters Announcing the new Amazon S3 Glacier Instant Retrieval storage class - the lowest cost archive storage with milliseconds retrieval Amazon S3 Object Ownership can now disable access control lists to simplify access management for data in S3 Amazon S3 Glacier storage class is now Amazon S3 Glacier Flexible Retrieval; storage price reduced by 10% and bulk retrievals are now free Announcing the new S3 Intelligent-Tiering Archive Instant Access tier - Automatically save up to 68% on storage costs Amazon S3 Event Notifications with Amazon EventBridge help you build advanced serverless applications faster Amazon S3 console now reports security warnings, errors, and suggestions from IAM Access Analyzer as you author your S3 policies Amazon S3 adds new S3 Event Notifications for S3 Lifecycle, S3 Intelligent-Tiering, object tags, and object access control lists Glue AWS Glue DataBrew announces native console integration with Amazon AppFlow AWS Glue DataBrew now supports custom SQL statements to retrieve data from Amazon Redshift and Snowflake AWS Glue DataBrew now allows customers to create data quality rules to define and validate their business requirements FSx Introducing Amazon FSx for OpenZFS Amazon FSx for Lustre now supports linking multiple Amazon S3 buckets to a file system Amazon FSx for Lustre can now automatically update file system contents as data is deleted and moved in Amazon S3 Announcing the next generation of Amazon FSx for Lustre file systems Backup Announcing preview of AWS Backup for Amazon S3 AWS Backup adds support for Amazon Neptune AWS Backup adds support for Amazon DocumentDB (with MongoDB compatibility) AWS Backup provides new resource assignment rules for your data protection policies AWS Backup adds support for VMware workloads Other AWS Lake Formation now supports AWS PrivateLink AWS Transfer Family adds identity provider options and enhanced monitoring capabilities Introducing ability to connect to EMR clusters in different subnets in EMR Studio AWS Snow Family now supports external NTP server configuration Announcing data tiering for Amazon ElastiCache for Redis Now execute python files and notebooks from another notebook in EMR Studio AWS Snow Family launches offline tape data migration capability AI & ML SageMaker Introducing Amazon SageMaker Canvas - a visual, no-code interface to build accurate machine learning models Announcing Fully Managed RStudio on Amazon SageMaker for Data Scientists | AWS News Blog Amazon SageMaker now supports inference testing with custom domains and headers from SageMaker Studio Amazon SageMaker Pipelines now supports retry policies and resume Announcing new deployment guardrails for Amazon SageMaker Inference endpoints Amazon announces new NVIDIA Triton Inference Server on Amazon SageMaker Amazon SageMaker Pipelines now integrates with SageMaker Model Monitor and SageMaker Clarify Amazon SageMaker now supports cross-account lineage tracking and multi-hop lineage querying Introducing Amazon SageMaker Inference Recommender Introducing Amazon SageMaker Ground Truth Plus: Create high-quality training datasets without having to build labeling applications or manage the labeling workforce on your own Amazon SageMaker Studio Lab (currently in preview), a free, no-configuration ML service Amazon SageMaker Studio now enables interactive data preparation and machine learning at scale within a single universal notebook through built-in integration with Amazon EMR Other General Availability of Syne Tune, an open-source library for distributed hyperparameter and neural architecture optimization Amazon Translate now supports AWS KMS Encryption Amazon Kendra releases AWS Single Sign-On integration for secure search Amazon Transcribe now supports automatic language identification for streaming transcriptions AWS AI for data analytics (AIDA) partner solutions Introducing Amazon Lex Automated Chatbot Designer (Preview) Amazon Kendra launches Experience Builder, Search Analytics Dashboard, and Custom Document Enrichment Other Cool Stuff In The Works – AWS Canada West (Calgary) Region | AWS News Blog Unified Search in the AWS Management Console now includes blogs, knowledge articles, events, and tutorials AWS DeepRacer introduces multi-user account management Amazon Pinpoint launches in-app messaging as a new communications channel Amazon AppStream 2.0 Introduces Linux Application Streaming Amazon SNS now supports publishing batches of up to 10 messages in a single API request Announcing usability improvements in the navigation bar of the AWS Management Console Announcing General Availability of Enterprise On-Ramp Announcing preview of AWS Private 5G AWS Outposts is Now Available in Two Smaller Form Factors Introducing AWS Mainframe Modernization - Preview Introducing the AWS Migration and Modernization Competency Announcing AWS Data Exchange for APIs Amazon WorkSpaces introduces Amazon WorkSpaces Web Amazon SQS Enhances Dead-letter Queue Management Experience For Standard Queues Introducing AWS re:Post, a new, community-driven, questions-and-answers service AWS Resource Access Manager enables support for global resource types AWS Ground Station launches expanded support for Software Defined Radios in Preview Announcing Amazon Braket Hybrid Jobs for running hybrid quantum-classical workloads on Amazon Braket Introducing AWS Migration Hub Refactor Spaces - Preview Well-Architected Framework Customize your AWS Well-Architected Review using Custom Lenses New Sustainability Pillar for the AWS Well-Architected Framework IoT Announcing AWS IoT RoboRunner, Now Available in Preview AWS IoT Greengrass now supports Microsoft Windows devices AWS IoT Core now supports Multi-Account Registration certificates on IoT Credential Provider endpoint Announcing AWS IoT FleetWise (Preview), a new service for transferring vehicle data to the cloud more efficiently Announcing AWS IoT TwinMaker (Preview), a service that makes it easier to build digital twins AWS IoT SiteWise now supports hot and cold storage tiers for industrial data New connectivity software, AWS IoT ExpressLink, accelerates IoT development (Preview) AWS IoT Device Management Fleet Indexing now supports two additional data sources (Preview) Connect Amazon Connect now enables you to create and orchestrate tasks directly from Flows Amazon Connect launches scheduled tasks Amazon Connect launches Contact APIs to fetch and update contact details programmatically Amazon Connect launches API to configure security profiles programmatically Amazon Connect launches APIs to archive and delete contact flows Amazon Connect now supports contact flow modules to simplify repeatable logic Sponsors CMD Solutions Silver Sponsors Cevo Versent

This is a fourth episode of GCP Series which features relational database services from Google Cloud. Please listen other series as well. --- Send in a voice message: https://anchor.fm/vishnu-vg/message

It’s all about data management this week on the podcast as Brian Dorsey and Mark Mirchandani talk to Google Cloud Product Marketing Manager, Amy Krishnamohan. Amy starts the show by explaining that Cloud SQL is a fully managed relational database service that recently added Microsoft SQL Server to its repertoire. We talk about SQL Server’s migration from 2008R2 to a newer version, the process involved, and how it’s effecting customers. Luckily, Cloud SQL for SQL Server is very backwards compatible, making the process easy for Google Cloud customers! Cloud SQL also offers other tools to make using Microsoft SQL Server easier with Google Cloud, including shortcuts to set up the high availability function. Amy talks later in the show about what companies are a good fit for Microsoft SQL Servers on Google Cloud. She explains the steps to set up and tear down, how licensing works, and what the best use cases are for Microsoft SQL Servers on Google Cloud. In the future, Cloud SQL will have a managed AD service available. A multi-cloud strategy is important, according to Amy. It is up to each company to research cloud services and pick the best vendors and products for themselves and their clients. Cloud SQL for SQL Server is a way to bring two great products together for the benefit of consumers. Amy Krishnamohan Amy Krishnamohan is Product Marketing Manager at Google Cloud responsible for databases. She has diverse experience across product marketing, marketing strategy and product management from leading enterprise software companies such as MariaDB, Teradata, SAP, Accenture, Cisco and Intuit. Amy received her Masters in Software Management from Carnegie Mellon University. Cool things of the week Introducing Cloud AI Platform Pipelines blog Finding a problem at the bottom of the Google stack blog Larger local SSD storage available now blog Compute Engine gets machine images blog Google Cloud Next Update site Interview Microsoft SQL Server site Google Cloud SQL site BigQuery site GCE site Question of the week Lift and shift, move and improve, or re-architect: How do we “move and improve”? GCP Podcast Episode 211: Digital Services with xMatters podcast Importing virtual disks docs Create machine image from virtual appliance file (OVA/OVF) docs Tutorial: Getting started with Migrate for Compute Engine docs Whitepaper: Velostrata technology for mass migrations into Google Cloud Platform whitepaper Where can you find us next? We’re working from home for a while! Brian will be looking at getting a kind of weekly “reading group” of people who work with VMs and want to get better. Ping him on Twitter if you’re interested! Mark will be working on more video content and a cool nickname for Brian!

We’re learning all about Cloud SQL this week with our guest, Amy Krishnamohan. Amy’s main job is to teach customers about the products she represents. Today, she explains to Mark and Gabi that Cloud SQL manages services for open source databases, and she spends a little time elaborating on the other database management services Google has to offer. Cloud SQL is a relational data storage solution. Relational data storage is very structured, almost like a table or spreadsheet, making it easier to analyze the data. Cloud SQL is capable of scaling out and up, meaning it can scale for traffic patterns and for storage. In comparison, NoSQL databases are very unstructured. If you’re not sure what kind of data is coming in, you can sort the data first and analyze it later. Each approach has its pros and cons and each is suitable for different types of projects. Recently, Cloud SQL released a feature making it easy to move from on-prem to the cloud. In the future, they will continue to streamline the process of moving between the two spaces. Amy Krishnamohan Amy is Product Marketing Manager at Google Cloud responsible for Databases. She has diverse experience across product marketing, marketing strategy and product management from leading enterprise software companies such as MariaDB, Teradata, SAP, Accenture, Cisco and Intuit. Amy received her Masters in Software Management from Carnegie Mellon University. Cool things of the week Process Workflows with the new Google Docs API blog Jib 1.0.0 is GA—building Java Docker images has never been easier blog GCP Podcast Episode 151: Java & Jib with Patrick Flynn and Mike Eltsufin podcast A guided tour in Google Earth that explores Black history blog Author: Gabe Weiss - Publishing series: Cloud IoT step-by-step Cloud IoT step-by-step: Connecting Raspberry PI + Python site Cloud IoT step-by-step: Cloud to device communication site Cloud IoT step-by-step: Quality of life tip - The command line site Interview Cloud SQL site Cloud SQL Features site MySQL site PostgreSQLsite Cloud MemoryStore site Cloud Bigtable site Cloud Firestore site Cloud Spanner site GCP Podcast Episode 62: Cloud Spanner with Deepti Srivastava podcast Mongo site Getting to know Google Cloud SQL video Question of the week What is a virtual column in a database? Generated columns blog and docs Where can you find us next? Amy will be at the Postgres Conference in New York on March 19. Gabi will be at PHP UK in London and Cloud NEXT in April. Mark will be at GDC in March, Cloud NEXT, and ECG in April. Diamond Partner Q&A: Google’s Mark Mandel Has The Tools To Help You Make Great Games article

On this episode of the podcast, Melanie and Mark talk with Emiliano (Emi) Martínez to learn more about how VirusTotal is helping to create a safer internet by providing tools and building a community for security researchers. Emiliano (Emi) Martínez Emiliano has been with VirusTotal for over 10 years. He has seen the business grow from a small startup in southern Spain into a Google X moonshot under the new Chronicle bet. He is a software engineer acting as the Tech Lead for VirusTotal. Throughout the past 10 years, not only has he been immersed in coding and architecting the platform, but he has also participated at all levels of the business: from bootstrapping the very first sales to working close with marketing and other teams in order to take the project to the next level. His main interests are IT security (more specifically malware) and designing products and services from scratch. VirusTotal and Chronicle are Hiring VirusTotal is part of Chronicle, and Chronicle is hiring! Come join our team experts to help build out the next generation of security intelligence solutions. We are looking for talent that is comfortable operating in an organization that is scaling quickly, that loves variety in their work and wants to get their hands dirty with all things cyber security, cloud computing, and machine learning. We are a dynamic organization that likes to run experiments so we are looking for colleagues that are excited about trying new things and offering a creative yet efficient, and client-centric approach to engineering solutions. You are scrappy and resourceful, creative and driven – and excited to share in the magic of working at Chronicle Cool things of the week BigQuery in June: a new data type, new data import formats, and finer cost controls blog Dataflow Stream Processing now supports Python blog Associate Cloud Engineer blog Six AI & ML Sessions to Attend at NEXT blog Interview VirusTotal site VirusTotal Use Cases site and videos VirusTotal Intelligence site VirusTotal Malware Hunting site VirusTotal Monitor site VirusTotal APIs site VirusTotal Community site VirusTotal Contact site Data Connectors San Jose on July 12, 2018 site Data Connectors Raleigh on July 26, 2018 site BSides Las Vegas on August 7-8, 2018 site If you are interested in a 1:1 meeting with VirusTotal, please email info@virustotal.com Google Cloud App Engine site Google Compute Engine site Google Cloud Kubernetes Engine site BigQuery site Google Cloud Data Studio site Google Cloud MemoryStore site Google Cloud SQL site G Suite site Question of the week This week’s question comes from Andrew Sheridan, with a special guest answer from Robert Kubis. What is the best practice for multi tenancy in Google Cloud Spanner, especially if customers are not of the same size and have unequal load? What DBAs need to know about Cloud Spanner, part 1: Keys and indexes blog Cloud Spanner - Choosing the Right Primary Keys video More questions about Spanner? Robert will be presenting on it at Cloud NEXT. Where can you find us next? We’ll both be at Cloud NEXT! Melanie will speak at CERN July 17th and PyCon Russia July 22nd

We return once again to Continuous Integration tooling, this time with a visual spin. Mike Fotinakis joins Mark and Melanie to discuss how they use Google Cloud Platform to develop Percy, the platform for continuous visual reviews for web apps. Mike Fotinakis Mike is Co-Founder and CEO of Percy, where he is working on problems at the intersection of design, development, and deployment. Mike has previously worked as an engineer at companies including Google, Science Exchange, and AltSchool, and is now enjoying building his first company from the ground up. Sometimes, he even enjoys things that don't involve computers at all, including rock climbing, coffee, classical singing, and scuba diving. Cool things of the week OpenCensus: A Stats Collection and Distributed Tracing Framework blog medium London Zoo trials facial recognition technology to help track elephants in the wild blog Cloud Dataflow and the Tram Challenge youtube Interview Percy site docs Google Kubernetes Engine site docs Google Cloud Storage site docs Google Cloud SQL site docs Redis Labs Cloud site Google Cloud Platform Pricing Calculator site Ember Conf site Percy.io Question of the week I would love a weekly roundup of news about Google Cloud Platform - where can I get one? This week in GCP medium Where can you find us next? Melanie will be at FOSDEM in Brussels this weekend. Mark will be at the Game Developer's Conference | GDC in March.

Digging back into our archive of interviews from Google Cloud Next, Mark and Francesc talk to Brad Rydzewski, creator of Drone, about the open source continuous integration and delivery platform. We are also excited to have the amazing Jessie Frazelle joining us as well! About Brad Rydzewksi Brad Rydzewski is the creator of the open source Drone project, which provides container based continuous delivery. About Jessie Frazelle Jessie Frazelle is also part of the Google Cloud Platform Developer Advocacy team, and is generally known as “That container girl”, and is an avid “Door to door leenuux salesperson.” Cool things of the week Announcing general availability of Google Cloud Dataflow for Python blog Google Cloud Platform for Data Scientists: Using R with Google Cloud SQL for MySQL blog Cloud SQL for PostgreSQL: Managed PostgreSQL for your mobile and geospatial applications in Google Cloud blog Interview Drone homepage github Drone on Container Engine github Kubernetes Namespaces docs Docker compose docs Drone Plugins site http://try.drone.io/ Question of the week This questions of the week comes from Rokesh Jankie: What is protocol buffers, and why should we all start using it? Protocol Buffers site gRPC previously on the podcast episode 15 episode 43 FlatBuffers site Where can you find us next? Mark will be heading to Vancouver Unity Games Meetup and Polyglot Vancouver Meetup, and then on to East Coast Games Conference and Vector in April. Francesc will be presenting at Gophercon China in April, and will then head off to New York!

One more day, Francesc and Mark are back with a daily episode from Google Cloud Next! Today we interview some of the many Google Cloud Partners attending the conference. Video Highlights Keynote Highlights in under 5 minutes! Full Day 2 Keynote Our favorite announcements Free usage limits for Google Cloud Platform products cloud.google.com/free PostgreSQL now available on Google Cloud SQL docs Interviews Martin Sleeman from Tableau Martin Sleeman tells us about Tableau and the amazing demo they built for his talk that you can watch here: Visualizing big data on Google Cloud. Ed Bender from Fastly Ed Bender joined us to talk about Fastly, an amazing edge network, and told us about their partnership and the history of their relationship with Google. They also had a session and you can find all the details here Selecting the right storage class for your use-case: from content delivery and big data analytics to cold storage. Jonathan Lieberman from Itopia Itpopia is “The Fastest Way to Deploy Desktops in The Google Cloud” and its CEO and co-founder Jonathan Lieberman joined us to tell us all about it. James Williams from Udacity James Williams is an Android Curriculum Lead at Udacity. Udacity is an online education platform with some amazing Google courses (more here). We also highlighted the Scalable Microservices with Kubernetes course, and you should definitely go check it out! More about Cloud Next You can watch the live stream! Francesc's talk is already online: Google Cloud Endpoints: serving your API to the world Mark's talk is also online here: Building massive online worlds with SpatialOS and Google Cloud Platform More daily episodes to come - stay tuned! Come find us on the ground floor at Moscone!

Today our guest star host, Brian Dorsey, and Mark interview Terrance Shepherd about his role as Technical Solutions Engineer working for Google Cloud Platform's Support Team. About Terrance Terrance is a Technical Solutions Engineer working for Google Cloud Platform's Support Team. He has been working to help customers from single person developers to Enterprises with 100's of Developers for the last 16 months. Terrance also leads the Cloud Platform Support new product review process, where the Support team has input on usability, reliability and supportability of few product or features released. All new features and product received the Support Team's approval before available to customers. Cool thing of the week You can now configure Pub Sub with Deployment Manager docs ISO and privacy certifications blog post More on security at cloud.google.com/security Interviews Google Cloud Platform Support: cloud.google.com/support Google Cloud SQL docs Google Cloud SQL General Log tips docs Question of the week How can I connect my application running on Google Cloud Platform to other Google services like Google Docs? Google Apps APIs docs Google API Explorer console

In this episode Kenneth turns the table on Kevin and chats about a recent successful migration between clouds and architectures. Kevin and his team at Platform45 recently migrated a well established application (www.resourceguruapp.com) from AWS and EngineYard to Google Container Engine. This was a non-trivial migration from a managed platform and a collection of third-party services to a containerised deployment with minimal external dependencies. We talked about the challenges they faced (turned out to be not too many), the new stack they're building on and how Google Container Engine works. We dive deeply into the various components offered by Google's Kubernetes project, the open source technology that powers Google Container Engine, and how Kevin leverages them to take control of his environment. Technology aside, this does highlight the fact that it is possible to move between cloud providers. The team retooled their deployments to take advantage of Kubernetes' rolling deployments, they migrated their state from AWS to Google Cloud, communicated clearly with their customers and handled one unexpected event gracefully. In this age of containerised deployments this could potentially become the norm, whether you move between your own data centers, or between clouds. Here are some of the resources mentioned in the show: * Engine Yard - https://www.engineyard.com * Google Container Engine - https://cloud.google.com/container-engine/ * Deis - http://deis.io * Kubernetes - http://kubernetes.io * Kubernetes on GitHub - https://github.com/kubernetes/kubernetes * Large-scale cluster management at Google with Borg - http://research.google.com/pubs/pub43438.html * Sacrificial architecture by Martin Fowler - http://martinfowler.com/bliki/SacrificialArchitecture.html * Netflix Chaos Monkey - https://github.com/Netflix/SimianArmy/wiki/Chaos-Monkey * Running Kubernetes on a Pi cluster - https://www.youtube.com/watch?v=AAS5Mq9EktI * ZFS is Smashing Baby! - https://www.youtube.com/watch?v=CN6iDzesEs0 * HAProxy - http://www.haproxy.org/ * nginx - http://nginx.org/ * Gentoo Linux - https://www.gentoo.org/ * Debian Linux - https://www.debian.org/ * Redis - http://redis.io/ * openredis - https://openredis.com/ * Google Cloud SQL - https://cloud.google.com/sql/ * MySQL - https://www.mysql.com/ * Episode 21 on Devops, Ansible & Automation - https://soundcloud.com/zadevchat/episode-21-ansible-devops-and-automation * Episode 31 on 12 Factor apps - https://soundcloud.com/zadevchat/episode-31-polarbearjs-and-12factor-apps-with-ben-janecke * Datadog - https://www.datadoghq.com/ * NewRelic APM - http://newrelic.com/application-monitoring * Using Kubernetes namespaces to manage environments - https://www.ianlewis.org/en/using-kubernetes-namespaces-manage-environments * A technical overview of Kubernetes (CoreOS Fest 2015) - https://www.youtube.com/watch?v=WwBdNXt6wO4 The aforementioned video, A technical overview of Kubernetes, by Brendan Burns is well worth watching to help demystify what Kubernetes is and how it can help you get the most of containerising your deployments. Stay in touch: * Socialize - https://twitter.com/zadevchat & http://facebook.com/ZADevChat/ * Suggestions and feedback - https://github.com/zadevchat/ping * Subscribe and rate in iTunes - https://itunes.apple.com/za/podcast/zadevchat-podcast/id1057372777

In the fourteenth episode of this podcast, your hosts Francesc and Mark interview Paul Newson. Paul is now a Developer Advocate for Google Cloud Platform but was a Software Engineer in the Cloud Storage team. Together they discuss the multiple options available for data storage on the cloud and the trade offs to be taken into account while choosing one. About Paul Paul currently focuses on helping developers harness the power of Google Cloud Platform to solve their big data problems. Previously, he was an engineer on Google Cloud Storage. Before joining Google, Paul founded a startup which was acquired by Microsoft, where he worked on DirectX, Xbox, Xbox Live, and Forza Motorsport, before spending time working on machine learning problems at Microsoft Research. Follow Paul on Twitter @newsons_nybbles. Cool thing of the week Opinionated Deployment Tools & Kubernetes blog post and Github repository Interview When to Pick Google Bigtable vs Other Cloud Platform Databases blog post. Where Should I Store My Stuff? - slightly outdated video. Choosing a Storage Option docs. Google Drive docs. Google Cloud Storage docs. Google Cloud Datastore docs. Google Cloud SQL docs. Google Cloud Bigtable docs. Google BigQuery docs. Google Cloud Dataflow docs Question of the week Question from Jeff Schnitzer: Can you use Java 8 features in Standard App Engine? Google App Engine Standard Environment docs. Google App Engine Managed VMs docs. Retrolambda Github repo.

Nov 13 Mobile. If you’re not ready you’re late out of the gate!  http://mobilestatistics.com -  iPhone total sales - 209,000,000 Android total sales - 375,000,000 Blackberry total sales - 118,000,000 Windows total sales - 78,000,000   The Galaxy SIII is now the hottest selling phone in the world. As it should be. No, I do not have one. Yet. 18,000,000 units shipped. iPhone 5 shipped 16,000,000 in the same time period.   Google’s Nexus 4 the best cell phone on the planet?http://bgr.com/2012/11/08/google-nexus-4-review/  My wife has a Nexus 7 tablet and it’s pretty darned amazing. Better than my Motorola Xoom which also rocks.   Awesomeness for developers including mobile ones. I just completed my second data intensive app which uses the Google SQL cloud strangely named Google Cloud SQL. https://developers.google.com/cloud-sql/docs/before_you_begin