Getting to grips with data visualization
Play • 42 min

A vast array of powerful data visualization tools are gaining traction in enterprises looking to make sense of their data sets, for instance D3, Bokeh, Shiny and Dash. In this episode, our team explores to concept of data visualization as part of a complete digital experience, with the workflows and journeys of a wide variety of users.

The Cloudcast
The Cloudcast
Cloudcast Media
Solving Developer’s Security Challenges
Shira Shamban (@ShambanIT, CEO @SolvoCloud) talks about easily bringing security to CI/CD pipelines and software development, the rise of DevSecOps and "Shifting Left. *SHOW: *494 *SHOW SPONSOR LINKS:* * CBT Nuggets: Expert IT Training for individuals and teams * Sign up for a CBT Nuggets Free Learner account and enter to win a 6-month Premium subscription. * Qumulo Homepage: Manage File Data at Scale, Anywhere * Test Drive Qumulo: Try Qumulo for free, no downloads or setup required * Datadog Security Monitoring Homepage: Modern Monitoring and Analytics * Try Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt. *CLOUD NEWS OF THE WEEK *- http://bit.ly/cloudcast-cnotw *CHECK OUT OUR NEW PODCAST - **"CLOUDCAST BASICS"* *SHOW NOTES:* * Solvo Homepage * Solvo Intro Video * SheCodes * OWASP *Topic 1 - *Welcome to the show. Tell us a little bit about your background, you have a very interesting journey starting in cybersecurity for the Isreal Defense Force all the way to CEO of a newly funded startup.  *Topic 2 - *The rise of CI/CD created some great benefits to software development, it also created some security challenges. Let’s start there, why do developers seem to have so many challenges with security, especially in production? *Topic 3 - *Increasingly we hear about the concept of DevSecOps, you introduced the term “Shifting Left”. What does that mean and how does this relate to the larger concept of DevSecOps? *Topic 4 - *When a developer pushes code, where is the friction from a security perspective? How does Solvo solve this problem as code is pushed and how do you integrate with the cloud providers to make sure a least-privilege model is used? You recently released a security tool for health checks of your cloud accounts? (link in the show notes) *Topic 5 - *We recently raised your first round of funding completely remotely. Tell us about the experience and challenges you faced.  *Topic 6 - *You are passionate about empowering women and under-represented communities in our industry. Tell us about your ongoing partnerships with SheCodes, Cyber Ladies and other mentoring programs you are involved with. *FEEDBACK?* * Email: show at thecloudcast dot net * Twitter: @thecloudcastnet
37 min
Python Bytes
Python Bytes
Michael Kennedy and Brian Okken
#222 Autocomplete with type annotations for AWS and boto3
Sponsored by Linode! pythonbytes.fm/linode Special guest: Greg Herrera YouTube live stream for viewers: Watch on YouTube Michael #1: boto type annotations * via Michael Lerner * boto3's services are created at runtime * IDEs aren't able to index its code in order to provide code completion or infer the type of these services or of the objects created by them. * Type systems cannot verify them * Even if it was able to do so, clients and service resources are created using a service agnostic factory method and are only identified by a string argument of that method. * boto3_type_annotations defines stand in classes for the clients, service resources, paginators, and waiters provided by boto3's services. Example with “bare” boto3: Example with annotated boto3: Brian #2: How to have your code reviewer appreciate you * By Michael Lynch * Suggested by Miłosz Bednarzak * Actual title “How to Make Your Code Reviewer Fall in Love with You” * but 🤮 * even has the words “your reviewer will literally fall in love with you.” * literally → figuratively, please * Topic is important though, here are some good tips: * Review your own code first * “Don’t just check for mistakes — imagine reading the code for the first time. What might confuse you?” * Write a clear change list description * “A good change list description explains what the change achieves, at a high level, and why you’re making this change.” * Narrowly scope changes * Separate functional and non-functional changes * This is tough, even for me, but important. * Need to fix something, and the formatting is a nightmare and you feel you must blacken it. Do those things in two separate merge requests. * Break up large change lists * A ton to write about. Maybe it deserves 2-3 merges instead of 1. * Respond graciously to critiques * It can feel like a personal attack, but hopefully it’s not. * Responding defensively will only make things works. Greg #3: REPODASH - Quality Metrics for Github repositories * by Laurence Molloy * Do you maintain a project codebase on Github? * Would you like to be able to show the maturity of your project at a glance? * Walk through the metrics available * Use-case Michael #4: Extra, extra, extra, extra, hear all about it * Python 3 Float Security Bug * Building Python 3 from source now :-/ It’s still Python 3.8.5 on Ubuntu with the kernel patch just today! (Linux 5.4.0-66 / Ubuntu 20.04.2) * Finally, I’m Dockering on my M1 mac via: * docker context create remotedocker --docker "host=ssh://user@server" * docker context use remotedocker * docker run -it ubuntu:latest bash now works as usual but remotely! * Why I keep complaining about merge thing on dependabot. Why!?! ;) * Anthony Shaw wrote a bot to help alleviate this a bit. More on that later. Brian #5: testcontainers-python * Suggested by Josh Peak * Why mock a database? Spin up a live one in a docker container. * “Python port for testcontainers-java that allows using docker containers for functional and integration testing. Testcontainers-python provides capabilities to spin up docker containers (such as a database, Selenium web browser, or any other container) for testing.” import sqlalchemy from testcontainers.mysql import MySqlContainer with MySqlContainer('mysql:5.7.32') as mysql: engine = sqlalchemy.create_engine(mysql.get_connection_url()) version, = engine.execute("select version()").fetchone() print(version) # 5.7.32 * The snippet above will spin up a MySql database in a container. The get_connection_url() convenience method returns a sqlalchemy compatible url we use to connect to the database and retrieve the database version. Greg #6: The Python Ecosystem is relentlessly improving price-performance every day * Python is reaching top-of-mind for more and more business decision-makers because their technology teams are delivering solutions to the business with unprecedented price-performance. * The business impact keeps getting better and better. * What seems like heavy adoption throughout the economy is still a relatively small-inroad compared to what we’ll see in the future. It’s like water rapidly collecting behind a weak dam. * It’s an exciting time to be in the Python world! Extras: Brian: * Firefox 86 enhances cookie protection * sites can save cookies. but can’t share between sites. * Firefox maintains separate cookie storage for each site. * Momentary exceptions allowed for some non-tracking cross-site cookie uses, such as popular third party login providers. Joke: 56 Funny Code Comments That People Actually Wrote: These are actually in a code base somewhere (a sampling): /* * Dear Maintainer * * Once you are done trying to ‘optimize’ this routine, * and you have realized what a terrible mistake that was, * please increment the following counter as a warning * to the next guy. * * total_hours_wasted_here = 73 */ // sometimes I believe compiler ignores all my comments // drunk, fix later // Magic. Do not touch. /*** Always returns true ***/ public boolean isAvailable() { return false; }
38 min
Kubernetes Podcast from Google
Kubernetes Podcast from Google
Adam Glick and Craig Box
Security and Snyk, with Kamil Potrec
Kamil Potrec is a Senior Security Engineer at Snyk, working on security around Kubernetes and cloud platforms. He joins the show to discuss how to think about securing your infrastructure, the different arts (and colors) of offensive and defensive security, and what not to lose sleep over. Do you have something cool to share? Some questions? Let us know: * web: kubernetespodcast.com * mail: kubernetespodcast@google.com * twitter: @kubernetespod Chatter of the week * Episode 23, with Andrew Philips and Lars Wander * A pile of mail and a bike News of the week * Red Hat OpenShift 4.7 is GA * Fairwinds Insights 3.0 * Envoy zero-day patched * Istio security bulletin * Sysdig contributes Falco modules to the CNCF * StorageOS raises $10m in Series B * Platform9 raises $12.5m in Series D * CNCF relaunches Kubernetes Community Day with KCD Africa and Bengaluru Links from the interview * Offensive unit in American Football * Hand-egg * Red and blue teams * Unreal Tournament * Capture the flag * Kubernetes secrets * Design document * Encrypting secrets at the application layer * Antivirus software * Tracer-tee * SolarWinds attack * Reflections on Trusting Trust by Ken Thompson * left-pad deleted from NPM * Snyk Open Source * The open source parts * Snyk vulnerability database * MITRE CVE database * Kubernetes security at Snyk * Deploy only trusted containers to GKE * Application threat modeling * Kubernetes security best practices, including security context, AppArmor, gVisor etc * CVE-2020-8554: man-in-the-middle attack using ExternalIP services * CVE-2020-14386: packet socket vulnerability with user namespaces enabled * Earlier related work: CVE-2017-7308 and CVE-2016-8655 * Project Zero writeup * Rewrite it in Rust! * Kamil Potrec on LinkedIn
40 min
Google Cloud Platform Podcast
Google Cloud Platform Podcast
Google Cloud Platform
Cloud Spanner Revisited with Dilraj Kaur and Christoph Bussler
Mark Mirchandani and Stephanie Wong are back this week as we learn about all the new things happening with Google Cloud Spanner. Our guests this week, Dilraj Kaur and Christoph Bussler, describe Cloud Spanner as a fully managed relational database that boasts unlimited scaling and advanced consistency and availability. Unlimited scaling truly means unlimited, and Chris explains why Cloud Spanner offers this feature and how it’s making database design and development easier. Dilraj and Chris tell us all about the cool new features Spanner has developed, like generated columns and foreign keys, and how customer needs influenced these developments. Chris walks us through the process of using some of these new features, including how developers can monitor their database systems. Managed backups and multi-region configuration are additional recent additions to Cloud Spanner, and our guests explain how these are used by current enterprise clients. Dilraj and Chris explain the automatically managed features of Spanner versus the customer managed features and how people set up and manage database projects. We hear examples of companies using Cloud Spanner and how it has improved their businesses. Dilraj Kaur Dilraj Kaur is an Enterprise Customer Engineer with specialization in Data Management. She has been with Google for about 2.5 years and is based in Atlanta. Christoph Bussler As a Solutions Architect Chris is focusing on databases, data migration and data integration in enterprise customer settings. See his professional work and background on his website. Cool things of the week * New to Google Cloud? Here are a few free trainings to help you get started blog * Start your skills challenge today site * Service Directory is generally available: Simplify your service inventory blog Interview * Google Cloud Spanner site * GCP Podcast Episode 62: Cloud Spanner with Deepti Srivastava podcast * Using the Cloud Spanner Emulator docs * Cloud Spanner Ecosystem site * Cloud Spanner Qwiklabs site * Google Cloud Platform Community On Slack site * Creating and managing generated columns docs * WITH Clause docs * Foreign Keys docs * Numeric Data Type docs * Information schema docs * Overview of introspection tools docs * Backup and Restore docs * Multi-region configurations docs * ShareChat: Building a scalable data-driven social network for non-English speakers globally site * Blockchain.com: Streamlining infrastructure for the world’s most dynamic financial market site * What is Cloud Spanner? video What’s something cool you’re working on? Mark has been working on budgeting blog posts, including Protect your Google Cloud spending with budgets. Stephanie is working on her data center animation series
41 min
Streaming Audio: A Confluent podcast about Apache Kafka
Streaming Audio: A Confluent podcast about Apache Kafka
Confluent, original creators of Apache Kafka®
Becoming Data Driven with Apache Kafka and Stream Processing ft. Daniel Jagielski
When it comes to adopting event-driven architectures, a couple of key considerations often arise: the way that an asynchronous core interacts with external synchronous systems and the question of “how do I refactor my monolith into services?” Daniel Jagielski, a consultant working as a tech lead/dev manager at VirtusLab for Tesco, recounts how these very themes emerged in his work with European clients.  Through observing organizations as they pivot toward becoming real time and event driven, Daniel identifies the benefits of using Apache Kafka® and stream processing for auditing, integration, pub/sub, and event streaming. He describes the differences between a provisioned cluster vs. managed cluster and the importance of this within the Kafka ecosystem. Daniel also dives into the risk detection platform used by Tesco, which he helped build as a VirtusLab consultant and that marries the asynchronous and synchronous worlds. As Tesco migrated from a legacy platform to event streaming, determining risk and anomaly detection patterns have become more important than ever. They need the flexibility to adjust due to changing usage patterns with COVID-19. In this episode, Daniel talks integrations with third parties, push-based actions, and materialized views/projects for APIs. Daniel is a tech lead/dev manager, but he’s also an individual contributor for the Apollo project (an ICE organization) focused on online music usage processing. This means working with data in motion; breaking the monolith (starting with a proof of concept); ETL migration to stream processing, and ingestion via multiple processes that run in parallel with record-level processing. EPISODE LINKS * Building an Apache Kafka Center of Excellence Within Your Organization ft. Neil Buesing  * Risk Management in Retail with Stream Processing * Event Sourcing, Stream Processing and Serverless * It’s Time for Streaming to Have a Maturity Model ft. Nick Dearden * Read Daniel Jagielski's articles on the Confluent blog * Join the Confluent Community * Learn more with Kafka tutorials, resources, and guides at Confluent Developer * Live demo: Kafka streaming in 10 minutes on Confluent Cloud * Use *60PDCAST* to get an additional $60 of free Confluent Cloud usage (details)
48 min
Azure DevOps Podcast
Azure DevOps Podcast
Jeffrey Palermo
Mark Fussell on Dapr 1.0 - Episode 130
Joining Jeffrey today is return guest, Mark Fussell! Mark works on the Azure Incubations Team and is the Product Manager for Dapr, the Distributed Application Runtime. He has been working at Microsoft for over 19 years and has been a passionate advocate for building microservice-based applications for the last 10 years. He has a proven track record of building innovative computing platforms, running large-scale cloud services, and starting new million-dollar businesses within corporations. Last time Mark was on the show, he and Jeffrey discussed Dapr and what it can do for developers. In this episode, Mark and Jeffrey discuss the new 1.0 release of Dapr. Mark shares how to build, test, deploy, and monitor an application that’s built and deployed using Dapr. He speaks about the team’s journey for the last six months with working on the 1.0 release, the new and exciting changes with the 1.0 release, and all that Dapr is currently capable of. Topics of Discussion: [:38] Be sure to visit AzureDevOps.Show for past episodes and show notes. [:50] About The Azure DevOps Podcast, Clear Measure, and Jeffrey’s offer to speak at virtual user groups. [1:16] About Jeffrey’s newest podcast, Architect Tips! [1:20] About today’s episode with return guest, Mark Fussell. [1:42] Jeffrey welcomes Mark Fussell back to The Azure DevOps Podcast. [2:03] Mark gives a rundown of what’s new at Microsoft, how he ended up on the Azure Incubations Team at Microsoft, and what the team works on. [3:15] An overview of Dapr. [5:08] The huge news for Dapr: the new 1.0 release. [5:41] Mark elaborates on the journey for the last six months with Dapr and what’s new and exciting with the 1.0 release. [7:07] Is Dapr aimed squarely at processes such as backend services with no UI (that either need to be triggered by something or to pop up and do something)? [9:19] Is Dapr only for Javascript apps? Is it for .NET developers? How is it positioned? [11:55] The strategy of Azure and the positioning of Dapr. [13:25] What are some of Dapr’s main goals? Can Dapr be as simple as a single backend process to a whole bunch of backend processes? [21:53] A word from Azure DevOps Podcast’s sponsor: Clear Measure. [22:24] Is there overlap with Dapr and open-source distributed application frameworks for .NET such as MassTransit and NServiceBus? Did the Azure Incubations Team discuss these when developing Dapr? [24:19] Jeffrey and Mark dive into the operational side of Dapr. Mark speaks about how to build, test, deploy, and monitor an application that’s built and deployed using Dapr. [28:24] Does Dapr integrate with Application Insights on its own set of custom events and custom metrics? [29:28] What does deploying with ASP.NET look like? Is it possible, with Dapr, that you would not need to deploy a second process (whether it be Windows Service, Azure Function, or Containers) and you can simply bundle it in with a regular app service web application deployment? [33:51] Mark provides an update on the status of Kubernetes in Azure. [37:04] Discussing the future of running and deploying to Azure. Mentioned in this Episode: Architect Tips — New video podcast! Azure DevOps Clear Measure (Sponsor) .NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon! bit.ly/dotnetdevopsebook — Click here to download the .NET DevOps for Azure ebook! Jeffrey Palermo’s Youtube Jeffrey Palermo’s Twitter — Follow to stay informed about future events! The Azure DevOps Podcast’s Twitter: @AzureDevOpsShow Mark Fussell’s LinkedIn Mark Fussell’s Twitter @MFussell Dapr Dapr on GitHubr Dapr for .NET Developers, by Robert Vettor, Sander Molenkamp, and Edwin van Wijk Azure DevOps Podcast Ep. 66: “Mark Fussell on the Distributed Application Runtime or Dapr” KEDA Azure Queue Storage Azure Service Bus MassTransit NService Bus Azure DevOps Podcast Ep. 128: “Simon Timms on Microservices Architecture” Azure Application Insights OpenTelemetry Collector ASP.NET Kubernetes Azure DevOps Podcast Ep. 110: “Stefan Schackow on What’s New in Azure App Service” “Microsoft’s Dapr Introduces Cloud Native Development to the Enterprise” | The New Stack “Microsoft's most useful open-source project for Kubernetes, Dapr hits the 1.0 primetime” | The Register “Distributed Application Runtime (Dapr) v1.0 Announced” | InfoQ “Microsoft’s Dapr open-source project to help developers build cloud-native apps hits 1.0” | TechCrunch “Microsoft’s open source Dapr hits prime time to help developers embrace microservices” | VentureBeat Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.
41 min
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