In this episode, Linda and Dave chat with Jay Clifford, Developer Advocate at InfluxData. InfluxData are the makers of InfluxDB, a popular open-source platform for simplifying time series data management. Designed to handle high speed and high volume data ingest and real-time data analysis, InfluxDB's robust data collectors, common API across the entire platform, highly performant time series engine, and optimized storage lets you build once and deploy across multiple products and environments. Jay shares his journey to the cloud, gives us a developer introduction to time series data management, how to compare it to relational data and databases, how developers should think about this kind of data, and shares some real world customer success stories. Follow Jay on LinkedIn: https://www.linkedin.com/in/jaymand13/ Jay on Git: https://github.com/Jayclifford345 Linda on Twitter: https://twitter.com/lindavivah Linda’s Website: https://lindavivah.com/ Linda on TikTok: https://www.tiktok.com/@lindavivah Linda on Instagram: https://www.instagram.com/lindavivah/ Linda’s Medium: https://medium.com/@LindaVivah [DAVES COLLECTION] Rick and Morty - https://awsdeveloperspodcast.s3.amazonaws.com/RickMorty.PNG [DAVES COLLECTION] World of Warcraft Collectors Editions – https://awsdeveloperspodcast.s3.amazonaws.com/WoWCollectorsEditions.PNG [DOCS] InfluxDB Cloud Powered by IOX -https://docs.influxdata.com/influxdb/cloud-iox/get-started/ [GIT] InfluxData Telegraf Plugins & Integrations - https://github.com/influxdata/telegraf [GIT] InfluxDB OSS - https://github.com/influxdata/influxdb [PORTAL] InfluxData Website - https://www.influxdata.com [PORTAL] InfluxData Cloud Signup - https://cloud2.influxdata.com/signup [PORTAL] InfluxDB Use Cases - https://www.influxdata.com/customers/ [PORTAL] Pandas - https://pandas.pydata.org/ [SLACK] InfluxData Community Slack - https://www.influxdata.com/slack (connect with Jay @JayClifford) [TRAINING] InfluxDB University (Free InfluxDB Training) - https://university.influxdata.com Subscribe: Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669 Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zb3VuZGNsb3VkLmNvbS91c2Vycy9zb3VuZGNsb3VkOnVzZXJzOjk5NDM2MzU0OS9zb3VuZHMucnNz Spotify: https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI TuneIn: https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/ RSS Feed: https://feeds.soundcloud

In this episode, Emily and Dave chat with Jason Yee, Staff Technical Evangelist at Datadog. Datadog is an essential monitoring and security platform for cloud applications offering end traces, metrics, and logs to help make your applications, infrastructure, and third-party services entirely observable. Jason covers how developers can best think of observability, the helpful tenants of LIFT (latency, errors, traffic, and saturation), and how to get started today. Jason also gives an overview of Graviton processors, an analysis of cost and performance, and how Datadog has been able to generate massive cost savings through a service migration to ARM. Follow Jason on LinkedIn: https://linkedin.com/in/gitbisect [BLOG] AWS Computer Optimizer + Datadog: https://www.datadoghq.com/blog/ec2-rightsizing-with-datadog-aws-compute-optimizer/ [LEARN] Datadog Certification - https://www.datadoghq.com/certification/ [LEARN] Learn More about Observability and Datadog: https://learn.datadoghq.com/ [NEWSLETTER] Marcos Ortiz’s AWS Graviton Weekly newsletter - https://awsgravitonweekly.com/ [YOUTUBE] What to Know Before Adopting ARM (re:Invent 2022): https://youtu.be/bbchHOFVUuY Subscribe: Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669 Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zb3VuZGNsb3VkLmNvbS91c2Vycy9zb3VuZGNsb3VkOnVzZXJzOjk5NDM2MzU0OS9zb3VuZHMucnNz Spotify: https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI TuneIn: https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/ RSS Feed: https://feeds.soundcloud

In this episode, Brooke and Dave chat with Caroline Gluck, Senior Cloud Application Architect at AWS. Artificial Intelligence for IT Operations (AIOps) is an approach to IT operations that uses machine learning and other forms of artificial intelligence to automate and optimize various IT processes. It can help improve the efficiency, agility, and reliability of IT operations by reducing the time and effort required to detect and resolve issues, improving the accuracy of predictions and decision-making, and enabling faster response times to changes and incidents. Caroline walks us through her cloud journey, what AWS services can help with AIOps, and offers real-world scenarios of how AWS customers are using AIOps today. Caroline’s Twitter: https://twitter.com/carolinegluck Caroline on LinkedIn: https://www.linkedin.com/in/cgluck/ Brooke’s Twitter: https://twitter.com/brooke_jamieson Brooke on LinkedIn: https://www.linkedin.com/in/brookejamieson/ Brooke’s TikTok: https://www.tiktok.com/@brookebytes Brooke’s Instagram: https://www.instagram.com/brooke.bytes/ [BLOG] Automate AIOps for your microservices in AWS using Amazon DevOps Guru and AWS Systems Manager Incident Manager - https://docs.aws.amazon.com/prescriptive-guidance/latest/migration-operations-integration/aiops.html [BLOG] Gaining operational insights with AIOps using Amazon DevOps Guru - https://aws.amazon.com/blogs/devops/gaining-operational-insights-with-aiops-using-amazon-devops-guru/ [DOCS] AWS Prescriptive Guidance – AIOps - https://docs.aws.amazon.com/prescriptive-guidance/latest/migration-operations-integration/aiops.html [DOCS] Event Management with AIOps - https://docs.aws.amazon.com/whitepapers/latest/aws-caf-operations-perspective/event-management-aiops.html [TRAINING] Amazon Machine Learning University - https://aws.amazon.com/machine-learning/mlu/ [WORKSHOP] Amazon CodeWhisperer Workshop - https://catalog.us-east-1.prod.workshops.aws/workshops/a33a5d69-1417-4d5f-acc9-ae5c7fba665b/en-US [YOUTUBE] Meet Caroline, Cloud Applications Architect Consultant, Professional Services | Amazon Web Services - https://www.youtube.com/watch?v=c6ktOaku44c Subscribe: Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669 Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zb3VuZGNsb3VkLmNvbS91c2Vycy9zb3VuZGNsb3VkOnVzZXJzOjk5NDM2MzU0OS9zb3VuZHMucnNz Spotify: https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI TuneIn: https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/ RSS Feed: https://feeds.soundcloud

In this episode, Emily and Dave chat with Keyur Diwan Sr. Product Manager, Amazon RDS. Amazon Relational Database Service (Amazon RDS) is a collection of managed services that makes it simple to set up, operate, and scale databases in the cloud. Amazon RDS recently launched fully managed Blue/Green Deployments to help you with safer, simpler, and faster updates to your Amazon Aurora and Amazon RDS databases. Blue/Green Deployments create a fully managed staging environment that allows you to deploy and test production changes, keeping your current production database safe. With a single click, you can promote the staging environment to be the new production system in as fast as a minute, with no changes to your application and no data loss. Keyur walks us through this new feature, how to get started, how customers are using it today, and what’s next for RDS. [BLOG] Announcing Amazon RDS Blue/Green Deployments for safer, simpler, and faster updates - https://aws.amazon.com/about-aws/whats-new/2022/11/amazon-rds-blue-green-deployments-safer-simpler-faster-updates/ [BLOG] New – Fully Managed Blue/Green Deployments in Amazon Aurora and Amazon RDS - https://aws.amazon.com/blogs/aws/new-fully-managed-blue-green-deployments-in-amazon-aurora-and-amazon-rds/ [DOCS] Amazon RDS and Aurora Documentation - https://docs.aws.amazon.com/rds/ [PORTAL] Amazon Relational Database Service (RDS) https://aws.amazon.com/rds/ [YOUTUBE] Introduction to Amazon RDS Blue/Green Deployments - https://youtu.be/mGAjzAzBOsk Origins of the term "blue-green deployment" - https://gitlab.com/-/snippets/1846041 Martin Fowler - Blue Green Deployment - https://martinfowler.com/bliki/BlueGreenDeployment.html Subscribe: Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669 Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zb3VuZGNsb3VkLmNvbS91c2Vycy9zb3VuZGNsb3VkOnVzZXJzOjk5NDM2MzU0OS9zb3VuZHMucnNz Spotify: https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI TuneIn: https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/ RSS Feed: https://feeds.soundcloud

In this episode, Brooke and Dave chat with Abdallah Shaban, Sr. Product Manager, Tech, for Amplify JS and Flutter. AWS Amplify is a complete solution that lets frontend web and mobile developers easily build, ship, and host full-stack applications on AWS, with no cloud expertise needed. Abdallah brings us up to speed on what the team has been building for developers and walks us through the new Amplify Flutter Web and Desktop Support for AWS Amplify Storage, Analytics and API Libraries. Abdallah’s Twitter: https://twitter.com/AbdallahSh07 AWS Amplify’s Twitter: https://twitter.com/awsamplify Brooke’s Twitter: https://twitter.com/brooke_jamieson Brooke on LinkedIn: https://www.linkedin.com/in/brookejamieson/ Brooke’s TikTok: https://www.tiktok.com/@brookebytes Brooke’s Instagram: https://www.instagram.com/brooke.bytes/ [BLOG] Announcing Flutter Web and Desktop Support for AWS Amplify Storage, Analytics and API Libraries - https://aws.amazon.com/blogs/mobile/announcing-flutter-web-and-desktop-support-for-aws-amplify-storage-analytics-and-api-libraries/ [DISCORD] Amplify Discord Server - https://discord.gg/amplify [DOCS] AWS Amplify Documentation - https://docs.amplify.aws/ [GITHUB] AWS Amplify Github - https://github.com/aws-amplify Subscribe: Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669 Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zb3VuZGNsb3VkLmNvbS91c2Vycy9zb3VuZGNsb3VkOnVzZXJzOjk5NDM2MzU0OS9zb3VuZHMucnNz Spotify: https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI TuneIn: https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/ RSS Feed: https://feeds.soundcloud

In this episode, Dave is joined by co-host Brooke Jaimeson, and Nik Pinski, Principal Engineer, AWS on the Amazon EventBridge team. Amazon EventBridge Pipes helps you create point-to-point integrations between event producers and consumers with optional transform, filter and enrich steps, while helping to reduces the amount of integration code you need to write and maintain. Nik walks us through this new Pipes feature for Amazon EventBridge, what it means for developers, and how you can get started building with it today. Brooke’s Twitter: https://twitter.com/brooke_jamieson Brooke on LinkedIn: https://www.linkedin.com/in/brookejamieson/ Brooke’s TikTok: https://www.tiktok.com/@brookebytes Brooke’s Instagram: https://www.instagram.com/brooke.bytes/ [BLOG] Amazon EventBridge Pipes is now generally available - https://aws.amazon.com/about-aws/whats-new/2022/12/amazon-eventbridge-pipes-generally-available/ [BLOG] New — Create Point-to-Point Integrations Between Event Producers and Consumers with Amazon EventBridge Pipes - https://aws.amazon.com/blogs/aws/new-create-point-to-point-integrations-between-event-producers-and-consumers-with-amazon-eventbridge-pipes [CLI] Amazon EventBridge CLI - https://www.npmjs.com/package/@mhlabs/evb-cli [PATTERNS] ServerlessLand EventBridge Pipes Patterns Collection - https://serverlessland.com/patterns?services=eventbridge-pipes [PORTAL] Amazon EventBridge - https://aws.amazon.com/eventbridge [PORTAL] Amazon EventBridge Pipes - https://aws.amazon.com/eventbridge/pipes Good Tech Things - Crimes against the Cloud: an Investigation - https://newsletter.goodtechthings.com/p/crimes-against-cloud-an-investigation Tungsten Metal - https://en.wikipedia.org/wiki/Tungsten Subscribe: Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669 Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zb3VuZGNsb3VkLmNvbS91c2Vycy9zb3VuZGNsb3VkOnVzZXJzOjk5NDM2MzU0OS9zb3VuZHMucnNz Spotify: https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI TuneIn: https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/ RSS Feed: https://feeds.soundcloud

In this episode, Dave is joined by special co-host Linda Haviv, and Vin Yu, Sr. Product Manager – Tech at Amazon Web Services. Amazon DocumentDB is a MongoDB compatible, fully managed native JSON document database, that makes it easy and cost effective to operate critical document workloads at virtually any scale. Vin shares his journey to the cloud, gives insights on the Product Manager -Tech role at Amazon, and covers recent updates to Amazon DocumentDB. During re:Invent 2022, Vin's team also announced Amazon Document DB Elastic Clusters, enabling the ability to elastically scale your document database to handle virtually any number of writes and reads. Vin walks us through what this announcement means for developers and how to best get started using it today. Vin on LinkedIn: https://www.linkedin.com/in/vin-yu/ Linda on Twitter: https://twitter.com/lindavivah Linda’s Website: https://lindavivah.com/ Linda on TikTok: https://www.tiktok.com/@lindavivah Linda on Instagram: https://www.instagram.com/lindavivah/ Linda’s Medium: https://medium.com/@LindaVivah [BLOG] Announcing Amazon DocumentDB Elastic Clusters - https://aws.amazon.com/blogs/aws/announcing-amazon-documentdb-elastic-clusters/ [PORTAL] Amazon DocumentDB - https://aws.amazon.com/documentdb/ [PORTAL] JSON Document Databases and Terminology - https://aws.amazon.com/documentdb/what-is-json/ [YOUTUBE] Introduction to Amazon DocumentDB Elastic Clusters - Document Database - https://www.youtube.com/watch?v=RKLPTQgcmUE&ab_channel=AmazonWebServices Subscribe: Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669 Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zb3VuZGNsb3VkLmNvbS91c2Vycy9zb3VuZGNsb3VkOnVzZXJzOjk5NDM2MzU0OS9zb3VuZHMucnNz Spotify: https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI TuneIn: https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/ RSS Feed: https://feeds.soundcloud

In this episode, Dave is joined by special co-host Brooke Jaimeson, and Justin Callison, General Manager AWS Step Functions. AWS Step Functions is a visual workflow service that helps developers use AWS services to build distributed applications, automate processes, orchestrate microservices, and create data and machine learning pipelines. Justin walks us through what is new in Step Functions, the Workflow Studio tool, how customers are using the service today, and the new distributed map support launched at re:Invent 2022. Justin on Twitter: https://twitter.com/justincallison Justin on LinkedIn: https://www.linkedin.com/in/justin-callison Brooke’s Twitter: https://twitter.com/brooke_jamieson Brooke’s TikTok: https://www.tiktok.com/@brookebytes Brooke’s Instagram: https://www.instagram.com/brooke.bytes/ Brooke on LinkedIn: https://www.linkedin.com/in/brookejamieson/ [BLOG] Step Functions Distributed Map – A Serverless Solution for Large-Scale Parallel Data Processing - https://aws.amazon.com/blogs/aws/step-functions-distributed-map-a-serverless-solution-for-large-scale-parallel-data-processing [DOCS] Serverless Land - Serverless Workflows Collection - https://serverlessland.com/workflows [DOCS] Serverless Land - Distributed Map Reduce Weather Analysis Workflow - https://serverlessland.com/workflows/distributed-map-weather-anaysis [PORTAL] AWS Step Functions - https://aws.amazon.com/step-functions/ [WORKSHOP] The AWS Step Functions Workshop - https://catalog.workshops.aws/stepfunctions/en-US/ [YOUTUBE] AWS re:Invent 2022 - [NEW] Accelerate Workloads Using Parallelism with Step Functions and Lambda (API205) - https://www.youtube.com/watch?v=SG6_oy72hh4&ab_channel=AWSEvents Subscribe: Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669 Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zb3VuZGNsb3VkLmNvbS91c2Vycy9zb3VuZGNsb3VkOnVzZXJzOjk5NDM2MzU0OS9zb3VuZHMucnNz Spotify: https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI TuneIn: https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/ RSS Feed: https://feeds.soundcloud

In this episode, Emily and Dave chat with Prasad Pandit, Principal Product Manager, RDS Open Source. Prasad walks us through some of the recent performance innovations in Amazon’s Relational Database Service (RDS) as well as how MySQL writes data today. He then discusses the re:Invent 2022 launch of RDS Optimized Writes, which can help improve write throughput by up to 2x at no additional cost. RDS Optimized Writes is especially useful for MySQL customers with write-intensive database workloads, commonly found in applications such as digital payments, financial trading, and online gaming. Prasad on LinkedIn: https://www.linkedin.com/in/prasadprofile/ [BLOG] Amazon RDS Optimized Writes enables up to 2x higher write throughput at no additional cost - https://aws.amazon.com/about-aws/whats-new/2022/11/amazon-rds-optimized-writes-2x-higher-write-throughput-no-cost/ [DOCS] Improving write performance with Amazon RDS Optimized Writes - https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/rds-optimized-writes.html [PORTAL] Amazon RDS for MySQL https://aws.amazon.com/rds/mysql/ [YOUTUBE] Understanding Amazon Relational Database Service (RDS) - https://www.youtube.com/watch?v=eMzCI7S1P9M Subscribe: Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669 Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zb3VuZGNsb3VkLmNvbS91c2Vycy9zb3VuZGNsb3VkOnVzZXJzOjk5NDM2MzU0OS9zb3VuZHMucnNz Spotify: https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI TuneIn: https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/ RSS Feed: https://feeds.soundcloud

In this episode, Dave chats with Vaibhav Khandelwal, Sr. Technical Product Manager for AWS DMS. The AWS Database Migration Service (DMS) helps customers securely migrate their databases to AWS with minimal downtime. Since 2016, AWS DMS has migrated more than 800,000 databases and currently supports over 20+ database and analytics engines. Vaibhav’s team recently launched the AWS DMS Schema Conversion service, which streamlines database migrations by making schema assessment and conversion available directly inside AWS DMS. Vaibhav walks us through an overview of DMS, how developers can get started with this new managed service, and what his team is focusing on delivering next. Database and Analytics Team on LinkedIn: https://www.linkedin.com/showcase/aws-databases/ [BLOG] A New Fully Managed Schema Conversion in AWS Database Migration Service - https://aws.amazon.com/blogs/aws/new-a-fully-managed-schema-conversion-in-aws-database-migration-service/ [DOCS] AWS Database Migration Service User Guide - https://docs.aws.amazon.com/dms/latest/userguide/Welcome.html [YOUTUBE] Introduction to the DMS Schema Conversion - https://www.youtube.com/watch?v=ki3r92Cfqwk Subscribe: Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669 Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zb3VuZGNsb3VkLmNvbS91c2Vycy9zb3VuZGNsb3VkOnVzZXJzOjk5NDM2MzU0OS9zb3VuZHMucnNz Spotify: https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI TuneIn: https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/ RSS Feed: https://feeds.soundcloud