Africa-focused technology, digital and innovation ecosystem insight and commentary.
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Player FM - Internet Radio Done Right
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محتوای ارائه شده توسط Software Engineering. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Software Engineering یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
مشابه Programmers Quickie
Show notes are at https://stevelitchfield.com/sshow/chat.html
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The power of Data is undeniable. And unharnessed - it’s nothing but chaos. Making data your ally. Using it to lead with confidence and clarity. Host Jess Carter is solving problems in real-time to reveal what’s possible. Helping communities and people thrive. This is Data Driven Leadership, a show brought to you by Resultant.
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Download This Show is your weekly guide to the world of media, culture, and technology. From social media to gadgets, streaming services to privacy issues. Each week Rae Johnston and guests take a fun, deep dive into how technology is reshaping our lives.
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Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
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Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
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WSJ’s Bold Names brings you conversations with the leaders of the bold-named companies featured in the pages of The Wall Street Journal. Hosts Tim Higgins and Christopher Mims speak to CEOs and business leaders in interviews that challenge conventional wisdom and take you inside the decisions being made in the C-suite and beyond.
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The Talk Show With John Gruber
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The Talk Show With John Gruber
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The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
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This is the audio podcast version of Troy Hunt's weekly update video published here: https://www.troyhunt.com/tag/weekly-update/
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We help founders make something people want.
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All About Change
Tiffany Yu is the CEO & Founder of Diversability, an award-winning social enterprise to elevate disability pride; the Founder of the Awesome Foundation Disability Chapter, a monthly micro-grant that has awarded $92.5k to 93 disability projects in 11 countries; and the author of The Anti-Ableist Manifesto: Smashing Stereotypes, Forging Change, and Building a Disability-Inclusive World. As a person with visible and invisible disabilities stemming from a car crash, Tiffany has built a career on disability solidarity. Now that she has found success, she works to expand a network of people with disabilities and their allies to decrease stigmas around disability and create opportunities for disabled people in America. Episode Chapters 0:00 Intro 1:26 When do we choose to share our disability stories? 4:12 Jay’s disability story 8:35 Visible and invisible disabilities 13:10 What does an ally to the disability community look like? 16:34 NoBodyIsDisposable and 14(c) 21:26 How does Tiffany’s investment banking background shape her advocacy? 27:47 Goodbye and outro For video episodes, watch on www.youtube.com/@therudermanfamilyfoundation Stay in touch: X: @JayRuderman | @RudermanFdn LinkedIn: Jay Ruderman | Ruderman Family Foundation Instagram: All About Change Podcast | Ruderman Family Foundation To learn more about the podcast, visit https://allaboutchangepodcast.com/…
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Manage episode 456085490 series 3112408
محتوای ارائه شده توسط Software Engineering. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Software Engineering یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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360 قسمت
اشتراک گذاریManage episode 456085490 series 3112408
محتوای ارائه شده توسط Software Engineering. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Software Engineering یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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AWS SSO vs AWS IAM
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BOOK - Apache Iceberg: The Definitive Guide - https://amzn.to/4bD8RB1
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BOOK - A Developer's Essential Guide to Docker Compose - https://amzn.to/4blnhFV
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💡 Why Flux
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🌐jsdom
mocking time
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📕 BOOK - Distributed Systems - https://amzn.to/3CI5Mmi
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📕 BEST BOOK on Kafka - Apache Kafka - The Definitive Guide - https://amzn.to/4gkpFxq
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BOOK - gRPC: Up and Running https://amzn.to/4h7ri2K
📕 BOOK - LLM Prompt Engineering For Developers - https://amzn.to/4jiUoha
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A 671B parameter Mixture-of-Experts language model. It highlights the model's architecture, including its innovative load balancing and multi-token prediction strategies, and its efficient training process using FP8 precision. Benchmark results demonstrate DeepSeek-V3's strong performance compared to other open-source and some closed-source models, particularly in math and code tasks. The document also provides instructions for running DeepSeek-V3 locally using various frameworks and hardware, including NVIDIA and AMD GPUs and Huawei Ascend NPUs. Finally, licensing and contact information are included.…
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To LLM agents or not that is the question.
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awk
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bert paler
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gpt paper
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The single-environment paradigm in software development, contrasting it with the traditional multi-environment approach. Consolidating development, testing, and production simplifies processes and reduces deployment risks. This is achieved through strategies like progressive deployment, test-driven development, CI/CD, and carefully managed production testing using techniques such as dry runs, shadow traffic, and canary releases.…
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Trino versus Apache Spark
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How java.util.Clock Saved My Sanity
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DynamoDB’s RCUs: Predictable Performance
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The Abundant Java Ecosystem: Libraries, Spring, Databases, and Lombok
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Aws Redshift vs RDS vs DDB
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📕BOOK - High Performance Spark - https://amzn.to/458wnRE
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Userscripts and Tampermonkey
Python Template and Bridge Design Patterns
Trie
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P-Value
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Vs Code Useful Extensions.
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Chat GPT Model
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Bloom Filters
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GraphQL vs Rest
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Hadh Functions
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Apache Kafka
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AWS networking provides a broad set of services that enable you to , connect, and secure your applications and data. With AWS networking, you can easily connect your on-premises networks to AWS, create virtual private clouds (VPCs), and use a variety of networking services to route traffic, control access, and monitor your network. * Scalability: AWS networking is designed to scale with your needs. You can easily add or remove resources as your traffic demands change. * Reliability: AWS networking is built on a highly reliable global infrastructure. Your applications will be available even if there is a problem with one of your network components. * Security: AWS networking provides a variety of security features to protect your applications and data. You can control who has access to your network and what they can do.…
How should you add status fields to calculations
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Programmers Quickie
AWS networking involves creating, configuring, and managing networks on Amazon Web Services. It includes services like Virtual Private Cloud (VPC), Elastic Load Balancing (ELB), Route 53, and Direct Connect, allowing users to build secure, scalable, and highly available cloud infrastructures. Key concepts include subnets, security groups, network access control lists (ACLs), and gateways.…
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Cores distribution and spark and partitioning
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Debugging python projects with and without tools.
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Programming interview patterns involve understanding data structures, algorithms, time/space complexity, problem-solving approaches, and coding practices. Familiarize yourself with arrays, strings, linked lists, trees, graphs, dynamic programming, recursion, backtracking, bit manipulation, and system design. Practice coding, optimize solutions, and enhance communication skills to efficiently express problem-solving processes during technical interviews.…
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rollup. 200 word summary for sql cube and rollup SQL (Structured Query Language) is a programming language that is commonly used to manage and manipulate data in relational databases. Two common operations that can be performed on data in SQL are cube and rollup. A SQL cube operation calculates aggregate values across multiple dimensions, producing a multi-dimensional result set. The result set includes all possible combinations of values across the specified dimensions. For example, if we have data on sales by region, product, and date, a cube operation could be used to calculate total sales by region and product for each date. This would produce a result set with three dimensions: region, product, and date. A SQL rollup operation is similar to a cube operation, but it only calculates aggregate values for a subset of the dimensions. Specifically, a rollup operation calculates aggregate values for each combination of values in a specified subset of dimensions, and then for each level of aggregation, it calculates a total for the remaining dimensions. For example, if we have data on sales by region, product, and date, a rollup operation could be used to calculate total sales by region for each date, and then a grand total for all dates. This would produce a result set with two dimensions: region and date. Both cube and rollup operations are useful for summarizing large amounts of data and analyzing it across multiple dimensions. They can be used to generate reports and visualizations that help users better understand their data and make informed decisions based on it.…
Fast arrays for coding interview
Calculate the product of an array except self without using the division operator
How to work with multiple treatments in AB testing
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Acid transactions are a set of properties that ensure reliable and consistent database transactions. The term "ACID" stands for Atomicity, Consistency, Isolation, and Durability.
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Experiment in Japan to work one less day a week
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The preconditions to t-tesy
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The differences between lit and react
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In this episode of programmers quickie podcast, we continue our exploration of SQL pivot and dive deeper into the syntax behind this powerful data analysis tool. If you're looking to take your pivot table skills to the next level, this episode is for you!
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DynamoDB RCU WCU
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Python Behave testing
In a system design interview, you will be asked to design a complex system, such as a website, mobile app, or network infrastructure. The interviewer will evaluate your ability to decompose the problem into smaller subproblems, make trade-offs between different design decisions, and consider the scalability and performance of the final solution. The key to success in a system design interview is to clearly communicate your thought process and trade-offs, rather than getting bogged down in low-level implementation details.…
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In Apache Spark, you can cache a DataFrame in memory using the cache() or persist() method. The cache() method is a shorthand for persist() with the default storage level of MEMORY_ONLY. You can use the persist() method to specify a different storage level if desired, such as MEMORY_AND_DISK or MEMORY_ONLY_SER.…
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Why develop apps when you can create "social apps" without coding as side projects.
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The n-queens problem is a well-known problem in computer science and mathematics that involves placing n chess queens on a n x n chessboard such that no two queens are able to attack each other. This means that no two queens can be placed on the same row, column, or diagonal. The problem can be generalized to other chess pieces, such as the n-rooks problem (where the goal is to place n rooks on the board such that no two rooks can attack each other) or the n-knights problem (where the goal is to place n knights on the board such that no two knights can attack each other). The n-queens problem is often used as a test case for algorithms that solve combinatorial search problems, as it is a challenging problem that requires careful consideration of the constraints and the search space. There are several ways to solve the n-queens problem, including backtracking algorithms, constraint satisfaction algorithms, and heuristic search algorithms. In LeetCode, the n-queens problem is represented as problem 51 and can be found at the following link: https://leetcode.com/problems/n-queens/. The problem asks the user to implement a function that takes in an integer n and returns a list of all valid configurations of n queens on an n x n chessboard. The function should return an empty list if no valid configurations exist.…
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The time that it takes computers to process information.
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Consistent Hashing is a distributed hashing scheme that operates independently of the number of servers or objects in a distributed hash table by assigning them a position on an abstract circle, or hash ring. This allows servers and objects to scale without affecting the overall system.
A couple of mitigations for a couple of ab testing challenges
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Here are scenarios where we would want to use AA testing before trying out and AB testing
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HTTP/1 is a textual data protocol and is good in terms of readability, ease of reimplementing, and ease of debugging. However, Binary protocols(Used in HTTP/2 )
In probability theory and statistics, Bayes' theorem, named after Thomas Bayes, describes the probability of an event, based on prior knowledge of conditions that might be related to the event.
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The token bucket is an algorithm used in packet-switched and telecommunications networks. It can be used to check that data transmissions, in the form of packets, conform to defined limits on bandwidth and burstiness.
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In software design and engineering, the observer pattern is a software design pattern in which an object, named the subject, maintains a list of its dependents, called observers, and notifies them automatically of any state changes, usually by calling one of their methods.
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There are six (6) criteria that should be applied when evaluating any Web site: authority, accuracy, objectivity, currency, coverage, and appearance.
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The dataclass() decorator examines the class to find fields. A field is defined as a class variable that has a type annotation. With two exceptions described below, nothing in dataclass() examines the type specified in the variable annotation.
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Python dependency management and packaging made easy. ... Poetry comes with all the tools you might need to manage your projects in a deterministic way
In computer networks, rate limiting is used to control the rate of requests sent or received by a network interface controller. It can be used to prevent DoS attacks and limit web scraping
dbt - Transform data in your warehouse What is dbt? dbt is a development framework that combines modular SQL with software engineering best practices to make data transformation reliable, fast,
HashAggregateExec is a unary physical operator (i.e. with one child physical operator) for hash-based aggregation that is created (indirectly through AggUtils.
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The Spark SQL shuffle is a mechanism for redistributing or re-partitioning data so that the data is grouped differently across partitions
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We have two types of automatic backups in dynamodb one is point in time and another one is snapshots.
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System design
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Giorgia Meloni is an Italian politician and journalist. A member of the Chamber of Deputies in Italy since 2006, she has led the Brothers of Italy political party since 2014, and has been the president of the European Conservatives and Reformists Party since 2020.
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Apache spark unit tests
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Programmers Quickie
📚 Book - The Psychology of Money - https://www.amazon.com/Psychology-Money-Timeless-lessons-happiness/dp/0857197681#?&_encoding=UTF8&tag=planetizer0c-20&linkCode=ur2&linkId=c18c78f3d241db79ce045de652b93722&camp=1789&creative=9325
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How can we pivot on spark?
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Why a single file on your repository that describes the project could make life much easier for newcomer programmers
DataFrame.createOrReplaceTempView - Creates or replaces a local temporary view with this DataFrame. The lifetime of this temporary table is tied to the SparkSession that was used to create this DataFrame.
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Programmers Quickie
Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrames and can also act as a distributed SQL query engine. It enables unmodified Hadoop Hive queries to run up to 100x faster on existing deployments and data.
We will describe how to use Apache Spark to get top 100 words from a file!
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Programmers Quickie
Apache Spark Paired RDDs are defined as RDDs containing the key-value pair(KVP), which consists of two linked data item in it. So, In most cases, the key is an identifier, and the value is data corresponding to the key value. Furthermore, Apache Spark operations work on RDDs that contain any objects.…
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What is this name delta lake? Why delta? What is the core benefit of using it over a standard data lake? What are its disadvantages
Hive aws glue and additional data catalogs compare
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In this episode we will discuss what are Go language to link and how is it different from other computer languages
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SageMaker
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What is AWS DynamoDB DAX and how does it relate to elastic cache
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Java fork join pool uses the stealing algorithm in order to utilize better the threads that we have
In AWS the write capacity units is one write per second for an item of up to 1 KB in size
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DynamoDb read capacity units and write capacity units
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Why does reserve currency metals so much today in today's economy and what are the alternatives and investment opportunities in this area.
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Common table expressions are very useful in constructing SQL and are your great next milestone to using SQL
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What is the core of doing SEO did it change over the years and what would bring you to the topmost search results in the search engines
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Here we discuss some of the most interesting product interview questions in the data area and in the data world
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An intro to blockchain technology
What does term frequency means and what is its relationship with inverse document frequency that we use in order to identify categories of documents and in order to find testament and many more applications of this topic
📚 Book - https://amzn.to/39ty0Tq - "Terraform: Up & Running: Writing Infrastructure as Code" Terraform init will download all the dependencies needed by the terraform project like when you have a clean maven project, and running almost any mvn command will pull down the dependencies. tags in terraform helps you set the additional tag properties of the resources, if you want to set the name of the resource that would appear in aws then you need to set the tag with specific key and this key is Name actual names of resources, so if you would like to create a vpc resource in aws with name "myvpc" you need to actually set its tags which is different from aws tags you would set the tags { Name = "MyVpc" } and this would set the name of the resource in aws and not the tags in aws. Create EC2 The terraform name aws_instance The 2 mandatory arguments are ami and instance_type Example resource "aws_instance "MyEc2Instance" { ami = "ami_287428346" // some aws ami instance_type = "t2.micro" } Note to reference an id of a terraform instance need to specify ..id so aws_vpc.myvpc.id When we set an "aws_eip" which is elastic ip we have to tell it for which ec2 instance we assign it to, so the resource contains the "instance" property that we have to set. Aws account can give us up to 5 elastic ips. Security group - statefull firewall - stateful means if we allowed some traffic going in it would automatically allow traffic to go out, in stateless we have to set explicitly the input to the firewall and the output. resource "aws_security_group" "MySecurityGroup" { name = "Allow HTTPS" ingress { from_port = 443 to_port = 443 # This is a range of ports from to to is not output. protocol = "TCP" cird_blocks = ["0.0.0.0/0"] # All traffic. } egress { } } Then we can reference this MySecurityGroup from various resources such as ec2 instances. Dynamic Blocks - iterator, for_each var.mylistvar , content = port.value This allows us to use for_each.prefix the block you want to use the list for each in dynamic example variable "ingressrules" { # Here you set the list variable holding the data to be dynamically included. type = list(number) default = [80, 443] } dynamic "ingress" { # Now iterate and use the above list defined above. iterator = port for_each = var.ingressrules content { from_port = port.value } } Terraform dynamic blocks and security groups definition in Terraform and AWS elastic IP definition in Terraform and EC2 We continue also to investigate what does terraform init means.…
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AWS elastic IP is not dynamic for itself it's actually a static public IPv4 IP so why is it called elastic because we dynamically assign it to host so if our host or easy to instance is down we can programmatically and dynamically assign such a static public IP into this new host so it's used for resiliency…
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Unresilient World
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Programmers Quickie
With terraform we can use variables for example an integer which is defined as a number or a string or a list of strings and then we can reference these variables further down in the code in order to reuse them you can also output variables to the screen and we could also ask the customer to input interactively variable values into the console In this session - init plan apply destroy - state file - variables - terraform pattern consistent - resource keyword - resource identifier "aws_vpc" - our name "mypc" - in curly braces the parametesrs like cidr_block = "10.0.0.0/16" - `terraform init` - i's like mvn install - Download the plugins to use aws - We can run this command after created main.tf - pull down modules - `terraform plan` - will show what's its going to do - checks state - Get developer style diff before commit - What already created which diff - don't want to loose this state file - `terraform apply` - showing the diff - click `yes` to continue - resources created in aws! - `terraform destroy` - to delete all reources - confirm - `state file` `terraform.tfstate` - we can see locally all that we created with terraform! - this file will have ALL resources created by terraform - visibility! - we want this file to get missing - json format - .bak - track changes we made - used for diff # Variables - define variables - folder `variables` - `default` is like the value - we have `type` and then `default` for default value - `main.tf` create file in that folder ```json variable "vpcname" { type = string (or number boolean list(string) with values ["val1", "val2"] to access 1 [0]) default = "myvpc" } variable "mymap" { type = map default = { key1 = "value1" key2 = "value2" } } variable "mytuple" { type tuple([string, number, string]) default = ["mystr1", 45, "mystr2"] } variable "myobject" { type = object({name = string, port = number}) default { name = "myval1" default = "232" } } ``` - cidr_range would get used multiple times so just put it in var - use variables - `var.myvarname` can also be done with string interpolation - `var.mylist[0]` - `var.mymap["Key1"]` - interactive input variables ```json variable "inputname" { type = string description = "please enter value for input name" } ``` next use this - `var.inputname` as usuall - `terraform plan` will now ask to input the input vars values # Outputs ```json output "myoutput" { value = aws_vpc.myvpc.id } ``` so nw we can print the dynamic id we get when we run terraform. run `terraform plan` will not print the id as it's created only after the apply is run and resources actually run.…
Terraform main operations such as init plan apply and destroy and the state file telephone is a infrastructure as code tool a command line to help us create infrastructure with standard adjacent files and then run telephone apply in order to actually create this infrastructure either in AWS cloud or Google cloud or azure cloud or any other cloud provider even locally and it has many plugins. In this session init plan apply destroy state file variables terraform pattern consistentresource keyword resource identifier "aws_vpc" our name "mypc" in curly braces the parametesrs like cidr_block = "10.0.0.0/16" terraform init i's like mvn install Download the plugins to use aws We can run this command after created main.tf pull down modules terraform plan will show what's its going to do checks stateGet developer style diff before commit What already created which diff don't want to loose this state file terraform apply showing the diff click yes to continue resources created in aws! terraform destroy to delete all reources confirm state file terraform.tfstate we can see locally all that we created with terraform! this file will have ALL resources created by terraform visibility! we want this file to get missing json format .bak track changes we made used for diff Terraform main operations and components are: - [1] init [2] plan [3] apply [4] destroy - State files - variables - terraform pattern consistent - resource keyword - resource identifier "aws_vpc" - our name "mypc" - in curly braces the parametesrs like cidr_block = "10.0.0.0/16" - `terraform init` - i's like mvn install - Download the plugins to use aws - We can run this command after created main.tf - pull down modules - `terraform plan` - will show what's its going to do - checks state - Get developer style diff before commit - What already created which diff - don't want to loose this state file - `terraform apply` - showing the diff - click `yes` to continue - resources created in aws! - `terraform destroy` - to delete all reources - confirm - `state file` `terraform.tfstate` - we can see locally all that we created with terraform! - this file will have ALL resources created by terraform - visibility! - we want this file to get missing - json format - .bak - track changes we made - used for diff…
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Programmers Quickie
Telephone is a language declarative language for defining resources here we will describe their form in it and the command line how to install with regards to interjeed idea plugin and also the visual studio plugin
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The PMF is one way to describe the distribution of a discrete random variable. ... The cumulative distribution function (CDF) of random variable X is defined as FX(x)=P(X≤x), for all x∈R. Note that the subscript X indicates that this is the CDF of the random variable X. Also, note that the CDF is defined for all x∈R.…
Do you document the architecture? How? How do we document it while keeping it from stale? Are the patterns? And what should we write there to help programmers the most?
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Programmers Quickie
The principal components of a collection of points in a real coordinate space are a sequence of p unit vectors, where the i-th vector is the direction of a line that best fits the data while being orthogonal to the first i-1 vectors
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مشابه Programmers Quickie
Africa-focused technology, digital and innovation ecosystem insight and commentary.
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Show notes are at https://stevelitchfield.com/sshow/chat.html
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The power of Data is undeniable. And unharnessed - it’s nothing but chaos. Making data your ally. Using it to lead with confidence and clarity. Host Jess Carter is solving problems in real-time to reveal what’s possible. Helping communities and people thrive. This is Data Driven Leadership, a show brought to you by Resultant.
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Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
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The Talk Show With John Gruber
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The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
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This is the audio podcast version of Troy Hunt's weekly update video published here: https://www.troyhunt.com/tag/weekly-update/
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