Python Bytes
Python Bytes
Aug 6, 2020
#193 Break out the Django testing toolbox
34 min

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Brian #1: Start using pip install --use-feature=2020-resolver if you aren’t already

  • Mathew Feickert
  • You may see something interesting when you run pip

  • This is not a problem. Do not adjust your sets.

  • But, you should be aware of it.
  • Especially if you install from requirements generated with pip freeze, you’ll want to use --use-feature=2020-resolver everywhere:
    $ python -m pip install --use-feature=2020-resolver -r requirements_original.txt
    $ python -m pip freeze > requirements_lock.txt
    $ python -m pip install --use-feature=2020-resolver -r requirements_lock.txt

Michael #2: Profiling Python import statements

  • Conversation with Brandon Braner lead to import-profiler
  • A basic python import profiler to find bottlenecks in import times.
  • Not often a problem, imports can be an issue for applications that need to start quickly, such as CLI tools.
  • Goal of import profiler is to help find the bottlenecks when importing a given package.
  • Example
    from import_profiler import profile_import

    with profile_import() as context:
        # Anything expensive in here
        import requests

    # Print cumulative and inline times. The number of + in the 3rd column
    # indicates the depth of the stack.
    context.print_info()

Output:

    umtime (ms) intime (ms) name
    83 0.5 requests
    55 0.5 +packages.urllib3.contrib
    54.1 0.3 ++
    53.1 0.7 +++connectionpool
    6.3 1.1 ++++logging
    ...

Brian #3: Django Testing Toolbox

  • Matt Layman
  • Testing packages commonly used on Django projects
  • Techniques Matt uses
  • packages
    • pytest-django - duh
    • factory_boy - fake data
    • django-test-plus - beefed up TestCase with tons of helper utilities
  • techniques
    • Using TestCase and test classes instead of functions
    • Arrange, Act Assert structure
    • In-memory SQLite database
    • Disable migrations while testing
    • faster password hasher
    • Use your editor effectively to run tests

Michael #4: Pandas-profiling

  • Recommended by Oz
  • Considering the fact that Data Science users are almost the majority now for Python, I thought it would be nice to spread the word of pandas-profiling package.
  • This package enables you to do Exploratory Data Analysis (EDA) with a single command. It is really useful to understand what percent of the data is NULL, or how it is distributed.
  • I used to do these steps manually and it was quite time consuming. Now it is a breeze.

  • Generates profile reports from a pandas DataFrame. The pandas df.describe() function is great but a little basic for serious exploratory data analysis. pandas_profiling extends the pandas DataFrame with df.profile_report() for quick data analysis.

  • Features
    • Type inference: detect the types of columns in a dataframe.
    • Essentials: type, unique values, missing values
    • Quantile statistics like minimum value, Q1, median, Q3, maximum, range, interquartile range
    • Descriptive statistics like mean, mode, standard deviation, sum, median absolute deviation, coefficient of variation, kurtosis, skewness
    • Most frequent values
    • Histogram
    • Correlations highlighting of highly correlated variables, Spearman, Pearson and Kendall matrices
    • Missing values matrix, count, heatmap and dendrogram of missing values
    • Text analysis learn about categories (Uppercase, Space), scripts (Latin, Cyrillic) and blocks (ASCII) of text data.
    • File and Image analysis extract file sizes, creation dates and dimensions and scan for truncated images or those containing EXIF information.
  • Nice examples too
    • Census Income (US Adult Census data relating income)
    • NASA Meteorites (comprehensive set of meteorite landings)
    • Titanic (the "Wonderwall" of datasets)
    • NZA (open data from the Dutch Healthcare Authority)
    • Stata Auto (1978 Automobile data)
    • Vektis (Vektis Dutch Healthcare data)
    • Colors (a simple colors dataset)

Brian #5: Interfaces, Mixins and Building Powerful Custom Data Structures in Python

  • Redowan Delowar
  • “Supercharging Python's built-in data structures”
  • Discussion of interfaces, abstract base classes, mixins, and Python
  • Class hierarchies and utilizing interfaces, ABCs (informal and formal), mixins, etc. are less common in Python than in some other languages, but you can still use them to do some really cool things.
  • I especially liked the introduction to the concepts and why they are useful, as well as why ABCs are different than interfaces.
  • “Interfaces can be thought of as a special case of Abstract Base Classes

"It’s imperative that all the methods of an interface are abstract methods and the classes don’t store any state (instance variables). However, in case of abstract base classes, the methods are generally abstract but there can also be methods that provide implementation (concrete methods) and also, these classes can have instance variables."

  • Shows an example, and goes on to discuss mixins, a parent class that provides functionality to subclasses but is not intended to be instantiated itself.

Michael #6: Pickle’s 9 flaws

  • Python’s pickle module is a very convenient way to serialize and de-serialize objects. It needs no schema, and can handle arbitrary Python objects. But it has problems. This post briefly explains the problems.
  • Via pycoders.com
  • Article by Ned Batchelder
    • Insecure - The insecurity is not because pickles contain code, but because they create objects by calling constructors named in the pickle. Any callable can be used in place of your class name to construct objects.
    • Old pickles look like old code - if your code changes between the time you made the pickle and the time you used it, your objects may not correspond to your code.
    • Implicit - they will serialize whatever structure your object has.
    • Over-serializes - They serialize everything in your objects, even data you didn’t want to serialize. For example, you might have an attribute that is a cache of computation that you don’t want serialized.
    • __init__ isn’t called - Pickles store the entire structure of your objects. When the pickle module recreates your objects, it does not call your __init__ method, since the object has already been created.
    • Python only - Pickles are specific to Python, and are only usable by other Python programs.
    • Unreadable - A pickle is a binary data stream (actually instructions for an abstract execution engine.) If you open a pickle as a plain file, you cannot read its contents.
    • Appears to pickle code - Functions and classes are first-class objects in Python: you can store them in lists, dicts, attributes, and so on. Pickle will gladly serialize objects that contain callables like functions and classes. But it doesn’t store the code in the pickle, just the name of the function or class.
    • Slow - Compared to other serialization techniques, pickle can be slow as Ben Frederickson demonstrates in Don’t pickle your data.

Extras:

Michael:

Why is coding in Python such fun? And why is it so good for beginners and experts alike? Why might Python give you tangible results faster than JavaScript? And once you've learnt some Python, what are your career options? Find out all this and more in this week's pythonic installment of A Question of Code.

Joke

  • (via Aaron Brown)
  • By Caitlin Hudon 👩🏼‍💻 @beeonaposy:
  • I have a Python joke, but I don't think this is the right environment.
Kubernetes Podcast from Google
Kubernetes Podcast from Google
Adam Glick and Craig Box
KubeCon NA 2020, with Stephen Augustus
Join us for all the news from KubeCon NA 2020, and a conversation with conference co-chair Stephen Augustus. Stephen is a Senior Open Source Engineer on the VMware Tanzu team, a chair of Kubernetes’ SIG Release, and a leader in many other parts of the project, past and present. 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 * The kākāpō wins Bird of the Year * We’re off for 2 weeks. See you on December 8! News of the week * Cisco acquires Banzai Cloud * CNCF announces Cloud Native Survey 2020 results * Red Hat: New edge features, industrial AI/ML blueprint and AWS launch * CNCF End User Tech Radar for storage * New End User benefits * Envoy Mobile joins the CNCF * New sandbox projects * cert-manager * cdk8s * Kyverno * OpenKruise * Pravega * SchemaHero * Tinkerbell * k8ssandra from Datastax * Episode 98 with Sam Ramji * k0s from Mirantis * Solo.io announces Gloo Mesh Enterprise and rebrands products * Episode 55, with Idit Levine * Pinniped * Shipa launches Ketch * Kinvolk launches Headlamp * The SPIFFE book “Solving The Bottom Turtle” * Episode 45, with Andrew Jessup * Anthos Developer Sandbox * GKE ingress features * Ambassador Labs takes in $18m and launches v1.9 * Tanzu SQL: Postgres on Kubernetes * Lightning round: * Accurics extends Terrascan * AWS adds containers to Lightsail * Arrikto takes $10m in funding * Brobridge releases Gravity * CircleCI runner is GA * Cloud66 for agencies and multiple database support * Cloudflare Origin CA cert-manager plugin * Cloudical Vanillastack * Cloudify version 5.1 * Codefresh launches GitOps 2.0 features * Commvault backup-as-a-service * Diamanti Spektra 3.1 and customer portal * Dynatrace PurePath 4 * Elastisys Compliant Kubernetes * The Fairwinds Kubernetes Maturity Model * Garden takes “seed” funding * Gremlin adds soundproofing * Humio Operator * Instana adds observability tools on Kubernetes * Intuit runs TurboTax on Kubernetes * Kioxia announces a new storage offering * Kubecost adds features for monitoring outside a cluster * KubeMQ adds automatic network creation * Kubermatic updates KubeOne to v1.1 * Kubernative SINA * Kublr 1.19 * Lablup announced Backend.ai 20.09 RC * Magalix launches KubeAdvisor 2.0 * Mayadata launches Kubera Propel and Kubera Chaos * Mirantis adds extensions to Lens * Puppet Labs adds Relay to Puppet Enterprise * Reblaze announces Curiefense to add WAF to Envoy * Replicates wants to help you Troubleshoot * Styra adds new editions to DAS * Sysdig introduces Kubernetes-native network security (ZTNSK) and partners with IBM Cloud * TrilioVault for Kubernetes v2.0 * Zerto for Kubernetes * Google Open Source Live Kubernetes Links from the interview * KubeCon NA 2020 * Episode 117, with Constance Caramanolis * CNCF Twitch * SIG Friday: ping Stephen for the current link * Slack * CNCF Slack * Kubernetes Slack * Hallway Track * Kubernetes Podcast chat * CoreOS * CoreOS Tectonic * CoreOS acquired by Red Hat * Tectonic on Azure * SIG Azure * SIG Release * SIG PM (retired) * Kubernetes Enhancement Process * Receipts process KEP * Sidecar containers - KEP closed! * Production readiness review * Episode 10, with Josh Berkus and Tim Pepper * Release managers * Black Lives Matter announcement banner * Better announcements * Kubernetes Naming working group * Inclusive Naming project * Dan Kohn memorial * Stephen Augustus on Twitter and on the web
53 min
Streaming Audio: A Confluent podcast about Apache Kafka
Streaming Audio: A Confluent podcast about Apache Kafka
Confluent, original creators of Apache Kafka®
Multi-Tenancy in Apache Kafka ft. Anna Pozvner
Multi-tenancy has been quite the topic within the Apache Kafka® community. Anna Povzner, an engineer on the Confluent team, spends most of her time working on multi-tenancy in Kafka in Confluent Cloud. Anna kicks off the conversation with Tim Berglund (Senior Director of Developer Experience, Confluent) by explaining what multi-tenancy is, why it is worthy to be desired, and advantages over single-tenant architecture. By putting more applications and use cases on the same Kafka cluster instead of having a separate Kafka cluster for each individual application and use case, multi-tenancy helps minimize the costs of physical machines and also maintenance. She then switches gears to discuss quotas in Kafka. Quotas are essentially limits—you must set quotas for every tenant (or set up defaults) in Kafka. Anna says it’s always best to start with bandwidth quotas because they’re better understood. Stick around until the end as Anna gives us a sneak peek on what’s ahead for multi-tenant Kafka, including KIP-612, the addition of the connection rate quota, which will help protect brokers. EPISODE LINKS * Sharing is Caring: Toward Creating Self-Tuning Multi-Tenant Kafka (Anna Povzner, Confluent) Join the Confluent Community Slack * 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)
44 min
Software Defined Talk
Software Defined Talk
Software Defined Talk LLC
Episode 272: This time we’re doing it in green
This week we discuss IBM buying Instana, highlights from Kubecon and the rise of Substack. Plus, Coté updates us on his quest to live the iPad lifestyle. The Rundown IBM To Acquire Instana For Undisclosed Terms (https://www.nasdaq.com/articles/ibm-to-acquire-instana-for-undisclosed-terms-quick-facts-2020-11-18) Instana Crunch Base Overview (https://www.crunchbase.com/organization/instana) KubeCon Review Envoy Mobile Joins the CNCF (https://medium.com/@mike.schore/99aee4bdb32e) Open Source Web Engine Servo to be Hosted at Linux Foundation - The Linux Foundation (https://www.linuxfoundation.org/press-release/2020/11/open-source-web-engine-servo-to-be-hosted-at-linux-foundation/) Relevant to your Interests The Evolution of Cloud (https://greylock.com/jerry-chen-the-evolution-of-cloud/) 2020 State of DevOps Report | presented by Puppet, & CircleCi (https://puppet.com/resources/report/2020-state-of-devops-report/?mkt_tok=eyJpIjoiWldSbVpUbGtaVEZtWVRFMiIsInQiOiJhYWtBcEcxQ3Z2TitXcCtkbXJDZTBIbVcrb25qMEtTR1VvWXZNaDV2QmZEXC96ekJxZGxIRmxcL0JwaHdjN1FVYWMrUm9rRG8rYTE3QmozRlo4QU9IdFhvRWt3WUNvdDVvZWJSVmpLaFEzZnhNMllocGZNZUlUS0RmcVwvTDVZSEh3RSJ9) Amazon's Inferentia AI Chip Is Ready For Prime Time, Now Powers the Alexa Service (https://www.fool.com/investing/2020/11/12/amazons-inferentia-ai-chip-is-ready-for-prime-time/) FinOps Foundation launches Kubernetes Whitepaper with CNCF, adds vendor members, Densify, SoftwareOne, Virtasant and more... (https://www.finops.org/blog/finops-foundation-launches-kubernetes-whitepaper-with-cncf-adds-vendor-members-cloudcmx-densify-softwareone-and-virtasant/) Google Pay reimagined: pay, save, manage expenses and more (https://blog.google/products/google-pay/reimagined-pay-save-manage-expenses-and-more/?utm_source=newsletter&utm_medium=email&utm_campaign=newsletter_axioslogin&stream=top) New Zoom feature can alert room owners of possible Zoombombing disruptions (https://www.zdnet.com/article/new-zoom-feature-can-alert-room-owners-of-possible-zoombombing-disruptions/) Fast Facts Your Pa$$word doesn't matter (https://techcommunity.microsoft.com/t5/azure-active-directory-identity/your-pa-word-doesn-t-matter/ba-p/731984) 11 facts about real world container use (https://www.datadoghq.com/container-report/) Half of all containers are now managed by cloud provider and third-party registries (https://www.datadoghq.com/container-report/#10) Apple Apple to lower commissions for small businesses on App Store (https://www.axios.com/apple-to-lower-commissions-for-small-businesses-on-app-store-a385a49b-9558-411d-bd1b-6cb57f2d44cc.html) Safely open apps on your Mac (https://support.apple.com/en-us/HT202491?utm_source=newsletter&utm_medium=email&utm_campaign=newsletter_axioslogin&stream=top) Yeah, Apple’s M1 MacBook Pro is powerful, but it’s the battery life that will blow you away (https://techcrunch.com/2020/11/17/yeah-apples-m1-macbook-pro-is-powerful-but-its-the-battery-life-that-will-blow-you-away/) Mac users couldn’t launch apps this afternoon after Apple verification server issue (https://www.theverge.com/2020/11/12/21563092/apple-mac-apps-load-slow-big-sur-downloads-outage-down-issues) Nonsense Welcome to Slow Boring (https://www.slowboring.com/p/welcome-to-slow-boring) Zoom Is Temporarily Removing Its 40 Minute Limit on Video Calls for Thanksgiving Day (https://www.news18.com/news/tech/zoom-is-temporarily-removing-its-40-minute-limit-on-video-calls-for-thanksgiving-day-3083945.html) Sponsors strongDM — Manage and audit remote access to infrastructure. Start your free 14-day trial today at: strongdm.com/SDT (http://strongdm.com/SDT) Teleport provides consolidated access to all computing resources such as servers, Kubernetes clusters or internal applications across all environments. Watch a demo, download the free version, or sign up for cloud at goteleport.com (https://goteleport.com/) Listener Feedback Little Snitch (http://Little Snitch 4) from Jordy Mac users couldn’t launch apps this afternoon after Apple verification server issue (https://www.theverge.com/2020/11/12/21563092/apple-mac-apps-load-slow-big-sur-downloads-outage-down-issues) Conferences Mykel Alvis All Day DevOps Talk (https://youtu.be/cttjekzVEqU?t=1945) SDT news & hype Join us in Slack (http://www.softwaredefinedtalk.com/slack). Send your postal address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) and we will send you free laptop stickers! Follow us on Twitch (https://www.twitch.tv/sdtpodcast), Twitter (https://twitter.com/softwaredeftalk), Instagram (https://www.instagram.com/softwaredefinedtalk/) and LinkedIn (https://www.linkedin.com/company/software-defined-talk/). Brandon built the Quick Concall iPhone App (https://itunes.apple.com/us/app/quick-concall/id1399948033?mt=8) and he wants you to buy it for $0.99. Use the code SDT to get $20 off Coté’s book, (https://leanpub.com/digitalwtf/c/sdt) Digital WTF (https://leanpub.com/digitalwtf/c/sdt), so $5 total. Become a sponsor of Software Defined Talk (https://www.softwaredefinedtalk.com/ads)! Recommendations Matt: Rewatching Veep (https://www.imdb.com/title/tt1759761/). Brandon: The Undoing (https://www.hbo.com/the-undoing?camp=GOOGLE%7cHTS_SEM%7cPID_p56310902692&keyword=the+undoing+hbo+show&utm_id=sa%7c71700000070858786%7c58700006239587173%7cp56310902692&utm_content=tun&gclid=Cj0KCQiA48j9BRC-ARIsAMQu3WSxjOpeoiBA6i3bBzeC-IL0JpPrwhoPrBOmtfTcNA37YokcAcnFo54aAtPnEALw_wcB&gclsrc=aw.ds) on HBO (https://www.hbo.com/the-undoing?camp=GOOGLE%7cHTS_SEM%7cPID_p56310902692&keyword=the+undoing+hbo+show&utm_id=sa%7c71700000070858786%7c58700006239587173%7cp56310902692&utm_content=tun&gclid=Cj0KCQiA48j9BRC-ARIsAMQu3WSxjOpeoiBA6i3bBzeC-IL0JpPrwhoPrBOmtfTcNA37YokcAcnFo54aAtPnEALw_wcB&gclsrc=aw.ds) and Serverless Data APIs (https://www.thecloudcast.net/2020/11/serverless-data-apis.html) from the Cloudcast Coté: Dithering (https://dithering.fm/)) podcast (https://dithering.fm/)) (https://dithering.fm/ (https://dithering.fm/)); Ted Laso. (https://tv.apple.com/show/umc.cmc.vtoh0mn0xn7t3c643xqonfzy?itscg=MC_20000&itsct=atvp_brand_omd&mttn3pid=a_google_adwords&mttnagencyid=1625&mttncc=US&mttnsiteid=143238&mttnsubad=OUS2019863_1-469980364686-c&mttnsubkw=106182847425_kwd-937070194980_rdMG7cVq_&mttnsubplmnt=) Photo Credit from Red Hat Container Coloring Book (https://developers.redhat.com/books/container-coloring-book-whos-afraid-big-bad-wolf) Photo Credit (https://unsplash.com/photos/wBzam0EPbXU)
1 hr 5 min
Azure DevOps Podcast
Azure DevOps Podcast
Jeffrey Palermo
Scott Nichols on the State of Azure - Part 2 - Episode 116
This episode is part 2 of the interview with Scott Nichols! Be sure to tune in to part 1 first before joining in on this episode’s conversation. Scott Nichols is a Sr. Cloud Solutions Architect, Scott works for the commercial enterprise division serving the west region. He is also the leader of the .NET and the Azure user groups in Boise, Idaho. He started his career in the IT profession in 1993 as a mainframe and web developer. Since then, he has served as a Lead Software Engineer/Solution Architect, a Software Development Engineering Manager, a Sr. Cloud Software Solution Architect, a Sr. Enterprise Solution Architect, and of course, most recently, a Sr. Cloud Solutions Architect at Microsoft since 2019. In this second part, the interview transitions from discussing the state of Azure and the Cloud industry into talking about how customers are modernizing their existing applications and infrastructure for Azure. Scott shares about infrastructure as code tools he sees as having the most traction right now, his recommendations for those looking to get their application into Azure, and what he sees as being the most successful pathways for his customers utilizing Azure infrastructure. Topics of Discussion: [:38] Be sure to visit AzureDevOps.Show for past episodes and show notes. [1:01] About The Azure DevOps Podcast and Jeffrey’s offer to speak at virtual user groups. [1:11] Clear Measure is hiring! Be sure to check out the link in the show notes. [1:33] Jeffrey welcomes Scott back to the podcast for part 2 and shares about this episode’s conversation. [2:06] The infrastructure as code tools Scott sees as having the most traction. [4:35] Does Scott have any customers that have used Azure Bicep yet? [4:56] How Scott thinks about Azure infrastructure and what he sees as being most successful with his customers. [7:42] For certain tweaks in the infrastructure, where does an ARM template work? [9:45] What is the mechanism in Azure that would know that the Powershell script has not been run yet or has already been run so that it doesn’t run it again? [11:07] A word from Azure DevOps Podcast’s sponsor: Clear Measure. [11:38] For people looking to get their application into Azure, what would Scott recommend their next steps be? [20:37] Jeffrey thanks Scott for joining the podcast and Scott offers some parting words of advice for developers. Mentioned in this Episode: 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 Scott Nichols’ LinkedIn Scott Nichols’ Twitter @TheScottNichols Azure Architecture Center - Microsoft Amazon Web Services (AWS) Azure Architectures - Microsoft Docs Google Cloud (GCP) Microsoft Cloud Adoption Framework (CAF) Azure Bicep on GitHub .NET Conference 2020 Python Terraform Azure Resource Manager (ARM) CICD PowerShell HashiCorp Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.
23 min
The Cloudcast
The Cloudcast
Cloudcast Media
eBPF & Cilium Cloud-native Networking
Dan Wendlandt (@danwendlandt, CEO/Co-Founder @Isovalent talks about the evolution of cloud networking, eBPF and Cilium for programmable infrastructure, and blurring the lines between networking, security and service-mesh.  *SHOW: *476 *SHOW SPONSOR LINKS:* * CloudAcademy -Build hands-on technical skills. Get measurable results.  * Get 50% of the monthly price of CloudAcademy by using code CLOUDCAST * 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. * Learn more about Fauna: https://www.fauna.com/serverless * Try FaunaDB for Free: https://dashboard.fauna.com/accounts/register *CLOUD NEWS OF THE WEEK *- http://bit.ly/cloudcast-cnotw *PodCTL Podcast is Back (Enterprise Kubernetes) *- http://podctl.com *SHOW NOTES:* * Isovalent (homepage) * Cilium (homepage) * What is eBPF?  *Topic 1 *- Welcome to the show. We’ve been following your work for a while (Nicira, OpenShift networking, etc), but tell our audience a little bit about your background. *Topic 2* - A few years ago I wrote an article that said, “if you’re in networking, the #1 skill you should learn is Linux”. Why has there been so much shift from “traditional networking” to so many new capabilities being implemented in software, and specifically Linux? *Topic 3 *- Help us understand these two new concepts - eBPF and Cilium. It’s new packet filtering, it’s container networking, it’s multi-cluster networking, it can help with observability - lots going on here.  *Topic 4 *- What are some of the gaps in today’s networking/filtering/observability stacks that can improve with eBPF/Cilium?*   * *Topic 5 *- We’ve seen quite a few companies evolve from expertise in an open-source project to commercial offerings. What lessons have you learned from other companies that shape how Isovalent will both go-to-market and also engage with ecosystem partners?* * *Topic 6 *- What are some of the common use-cases or applications you see that highlight the value of the Isovalent stack?  *FEEDBACK?* * Email: show at thecloudcast dot net * Twitter: @thecloudcastnet
36 min
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