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Pixels of Progress: A granular look at Vietnam’s development journey
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by "McKinsey & Company" <publishing@email.mckinsey.com> - 02:45 - 27 Aug 2024 -
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Join me to learn dashboard techniques to visualise system and business performance
Hi MD,
Liam, Senior Manager of Customer Training at New Relic University, here.
I’d like to personally invite you to my 90 minute online workshop on 12th September at 10am BST / 11am CEST on how to use Dashboard techniques to visualise system and business performance.
In this 90-minute workshop, you’ll learn dashboard design strategies, access best in class templates, discover how to create powerful charts, write New Relic query language (NRQL) queries for visualising trends, and discover how to correlate different data sets.
You’ll also learn how to:
- Create dashboard templates
- Visualise trends and patterns
- Use NRQL queries to help segment and attribute your data.
The lab sessions will cover how to:
- Segment your data via NRQL queries
- Understand and review trends, compare data, baseline values and funnels
- Create customised views for users, including interactive dashboards and variables
You can find the full agenda on the registration page here. While we recommend attending the hands-on workshop live, you can also register to receive the recording.
I hope to see you then,
Liam HurrellSenior Manager, Customer TrainingNew Relic
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by "Liam Hurrell, New Relic" <emeamarketing@newrelic.com> - 05:01 - 27 Aug 2024 -
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by "GLA Joy" <member836@glafamily.com> - 03:51 - 27 Aug 2024 -
The versatile leader: How learning to adapt makes CEOs better
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by "McKinsey & Company" <publishing@email.mckinsey.com> - 04:33 - 26 Aug 2024 -
EP126: The Ultimate Kafka 101 You Cannot Miss
EP126: The Ultimate Kafka 101 You Cannot Miss
Forwarded this email? Subscribe here for moreThis week’s system design refresher:
How the Internet Works in 9 Minutes (Youtube video)
AWS Services Cheat Sheet
The Ultimate Kafka 101 You Cannot Miss
8 Tips for Efficient API Design
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How the Internet Works in 9 Minutes
AWS Services Cheat Sheet
AWS grew from an in-house project to the market leader in cloud services, offering so many different services that even experts can find it a lot to take in.
The platform not only caters to foundational cloud needs but also stays at the forefront of emerging technologies such as machine learning and IoT, establishing itself as a bedrock for cutting-edge innovation. AWS continuously refines its array of services, ensuring advanced capabilities for security, scalability, and operational efficiency are available.
For those navigating the complex array of options, this AWS Services Guide is a helpful visual aid.
It simplifies the exploration of AWS's expansive landscape, making it accessible for users to identify and leverage the right tools for their cloud-based endeavors.
Over to you: What improvements would you like to see in AWS services based on your usage?Latest articles
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The Ultimate Kafka 101 You Cannot Miss
Kafka is super-popular but can be overwhelming in the beginning.
Here are 8 simple steps that can help you understand the fundamentals of Kafka.
What is Kafka?
Kafka is a distributed event store and a streaming platform. It began as an internal project at LinkedIn and now powers some of the largest data pipelines in the world in orgs like Netflix, Uber, etc.Kafka Messages
Message is the basic unit of data in Kafka. It’s like a record in a table consisting of headers, key, and value.Kafka Topics and Partitions
Every message goes to a particular Topic. Think of the topic as a folder on your computer. Topics also have multiple partitions.Advantages of Kafka
Kafka can handle multiple producers and consumers, while providing disk-based data retention and high scalability.Kafka Producer
Producers in Kafka create new messages, batch them, and send them to a Kafka topic. They also take care of balancing messages across different partitions.Kafka Consumer
Kafka consumers work together as a consumer group to read messages from the broker.Kafka Cluster
A Kafka cluster consists of several brokers where each partition is replicated across multiple brokers to ensure high availability and redundancy.Use Cases of Kafka
Kafka can be used for log analysis, data streaming, change data capture, and system monitoring.
Over to you: What else would you add to get a better understanding of Kafka?
8 Tips for Efficient API Design
Domain Model Driven
When designing the path structure of a RESTful API, we can refer to the domain model.Choose Proper HTTP Methods
Defining a few basic HTTP Methods can simplify the API design. For example, PATCH can often be a problem for teams.Implement Idempotence Properly
Designing for idempotence in advance can improve the robustness of an API. GET method is idempotent, but POST needs to be designed properly to be idempotent.Choose Proper HTTP Status Codes
Define a limited number of HTTP status codes to use to simplify application development.Versioning
Designing the version number for the API in advance can simplify upgrade work.Semantic Paths
Using semantic paths makes APIs easier to understand, so that users can find the correct APIs in the documentation.Batch Processing
Use batch/bulk as a keyword and place it at the end of the path.Query Language
Designing a set of query rules makes the API more flexible. For example, pagination, sorting, filtering etc.
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by "ByteByteGo" <bytebytego@substack.com> - 11:35 - 24 Aug 2024 -
Most popular recent issues—and a brief pause
The Shortlist
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Thanks for your ongoing interest in the CEO Shortlist and for helping make it one of our longest-running and most popular longform newsletters. The CEO Shortlist will be taking a break, but we’ll be back in your inbox on September 6 to continue delivering our bi-weekly sampling of McKinsey insights. When we return, look out for insightful reflections from CEOs in The Journey of Leadership by Dana Maor, Kurt Strovink, Ramesh Srinivasan, and senior partner emeritus Hans-Werner Kaas.
In the meantime, you can browse through past issues here—and be sure you didn’t miss recent favorites on the consumer goods industry, building a superpower, and what generative AI could be worth to business.
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by "McKinsey CEO Shortlist" <publishing@email.mckinsey.com> - 02:15 - 23 Aug 2024 -
A Crash Course on Scaling the API Layer
A Crash Course on Scaling the API Layer
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The API (Application Programming Interface) layer serves as the backbone for communication between clients and the backend services in modern internet-based applications.
It acts as the primary interface through which clients, such as web or mobile applications, access the functionality and data provided by the application. The API Layer of any application has several key responsibilities such as:
Process incoming requests from clients based on the defined API contract.
Enforce security mechanisms and protocols by authenticating and authorizing clients based on their credentials or access tokens.
Orchestrate interactions between various backend services and aggregate the responses received from them.
Handle responses by formatting and returning the result to the client.
Due to the central role APIs play in the application architecture, they become critical for the application scalability.
The scalability of the API layer is crucial due to the following reasons:
Handling Load and Traffic Spikes: As applications become popular, they encounter increased traffic and sudden spikes in user demand. A scalable API can manage the increased load efficiently.
Better User Experience: The bar for user expectation has gone up. Most users these days expect fast and responsive applications. A scalable API ensures that the application can support a high number of users without compromising performance.
Cost and Resource Optimization: Scalable APIs unlock the path to better resource utilization. Rather than provisioning the infrastructure upfront for the highest demand level, instances are added and removed based on demand, resulting in reduced operational costs.
In this article, we’ll learn the key concepts a developer must understand for API scalability. We will also look at some tried and tested strategies for scaling the API layer with basic code examples for clarity. Lastly, we will also look at some best practices that can help with scaling the API layer.
Unlock this post for free, courtesy of Alex Xu.
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by "ByteByteGo" <bytebytego@substack.com> - 11:35 - 22 Aug 2024
