OpenBase: JavaScript Package Selection with Lior Grossman
Play • 44 min

The JavaScript ecosystem has millions of packages. How do you choose from those packages to find the best in breed for your projects? OpenBase is a system for searching and discovering JavaScript packages. OpenBase includes reviews, insights, and statistics around these JavaScript packages. Lior Grossman is a founder of OpenBase, and joins the show to talk about the JavaScript ecosystem and what he is building.

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The post OpenBase: JavaScript Package Selection with Lior Grossman appeared first on Software Engineering Daily.

The Cloudcast
The Cloudcast
Cloudcast Media
How the Cloud is Changing OSS Licensing
Brian looks at the recent changes in open source licensing, as it relates to managed cloud offerings, and how the perception of end-users towards free software vs. cloud services is changing. *#SundayPerspectives* *SHOW: *493 *SHOW SPONSOR LINKS:* * Onix - The Leading Cloud Solutions Provider * Onix - Cloud data strategy workshop offer (FREE, $2000 value) *CLOUD NEWS OF THE WEEK *- http://bit.ly/cloudcast-cnotw *CHECK OUT OUR NEW PODCAST - **"CLOUDCAST BASICS"* *SHOW NOTES* * Server Side Public License (SSPL) * What does Open Source mean in the Era of Cloud APIs? (Redmonk) * Cockroach and the Source Available Future (Redmonk) * MongoDB Cloud, MongoDB vs. AWS, MongoDB’s Playbook (Stratechery) * Doubling Down on Open (Elastic) * Evolution of Commercial OSS (The Cloudcast, Eps.492) *THINGS WE KNOW* * Open Source has become a mainstream source for innovation - with most of the Internet being built on OSS technologies (in some way or form) * Open Source is more widely used in the Enterprise (than in the past), beyond just Linux * Open Source is often the de facto choice for much of the public cloud (OS, VMs, DBs, etc.) * The need for a “free” experience is expected for anything new in software or cloud, whether that’s for any/all usage, or a fixed period of time.  * “Open core”, or other variations on free OSS + non OSS (non-free) features has been a concept for quite a while.  * Community driven development does bring a broad set of perspectives, and it distributes the workload across engineers, companies, etc. * Plenty of successful projects have been both Open Source and primarily driven by a single company (especially in the data-centric projects) *THINGS THAT WILL EVOLVE* * Where does the value of software come from? Does it come from the features, from the distribution, from the creator(s), or from how it is run? * Do customers value ‘free”, or “stability” or “customizability” (features) or “operationalization”?  * How much of an advantage or disadvantage (or neutral) is the OSS companies offering cloud services across clouds?  *UNKNOWNS AND UNCERTAINTIES* * How will the VC community view the changes in competitive landscape and licensing? How does it impact their future funding models? *FEEDBACK?* * Email: show at thecloudcast dot net * Twitter: @thecloudcastnet
19 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
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
AWS TechChat
AWS TechChat
Shane Baldacchino
Episode 81 - re:Invent 2020 - AI/ML Special
In this episode of AWS TechChat, we close out our four parts of AWS re:Invent 2020 series with an AI/ML special. We cover Amazon Sagemaker, Amazon Kendra, Amazon Elastic MapReduce (EMR), Amazon QuickSight, and some brand new services. We talk about AWS HealthLake and how it makes sense of health data. AWS customers can use Kendra’s Google Drive connector to ingest and manage content from Google Docs and Google Slides. We introduce AWS Panorama which will help improve your operations with computer vision at the edge. We continue with a raft of new Amazon SageMaker updates: • Amazon SageMaker Feature Store - A fully managed repository for machine learning features • Amazon SageMaker Clarify - Bias Detection and Explainability • Amazon SageMaker Debugger - Optimize ML models with real-time monitoring of training metrics and system resources • Amazon SageMaker Model Monitor - Detect drift in model quality, model bias, and feature importance • Amazon SageMaker Pipelines - First purpose-built CI/CD service for machine learning • Amazon SageMaker Jumpstart - Simplifies Access to Pre-built Models and Machine Learning Solutions Before wrapping out, we share two more AI/ML updates - Amazon EMR Studio is the integrated development environment (IDE) for applications written in R, Python, Scala, PySpark, and Jupyter notebooks now gives you the option to deploy on Amazon Elastic Kubernetes Service (EKS). Amazon QuickSight allows you to ask Natural Language Query (NLQ) about your data and get answers in seconds. Speakers: Shane Baldacchino - Edge Specialist Solutions Architect, ANZ, AWS Shai Perednik - Solutions Architect, AWS Pallavi Nargund - Solutions Architect, AWS
1 hr 4 min
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