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EP164: JWT Simply Explained
EP164: JWT Simply Explained
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This week’s system design refresher:
JWT Simply Explained
The 5 Pillars of API Design
How Computer Memory Works?
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JWT Simply Explained
JWT or JSON Web Tokens is an open standard for securely transmitting information between two parties. They are widely used for authentication and authorization.
A JWT consists of three main components:
Header
Every JWT carries a header specifying the algorithms for signing the JWT. It’s written in JSON format.Payload
The payload consists of the claims and the user data. There are different types of claims such as registered, public, and private claims.Signature
The signature is what makes the JWT secure. It is created by taking the encoded header, encoded payload, secret key, and the algorithm and signing it.
JWTs can be signed in two different ways:
Symmetric Signatures
It uses a single secret key for both signing the token and verifying it. The same key must be shared between the server that signs the JWT and the system that verifies it.Asymmetric Signatures
In this case, a private key is used to sign the token, and a public key to verify it. The private key is kept secure on the server, while the public key can be distributed to anyone who needs to verify the token.
Over to you: Do you use JWTs for authentication?
The 5 Pillars of API Design
APIs are the backbone of modern systems. But it is also important to design them in the right way.
Here are a few things that a developer should consider while designing APIs
The Interface
API Design is concerned with defining the inputs and outputs of an API. For example, defining how the CRUD operations may be exposed to the user or the client.API Paradigms
APIs can be built following different paradigms, each with its own set of protocols and standards. Some options are REST, GraphQL, and gRPC.Relationships in API
APIs often need to establish relationships between the various entities. For example, a user might have multiple orders related to their account. The API endpoints should reflect these relationships for a better client experience.Versioning
When modifying API endpoints, proper versioning and supporting backward compatibility are important.Rate Limiting
Rate limiting is used to control the number of requests a user can make to an API within a certain timeframe. This is crucial for maintaining the reliability and availability of the API.
Over to you: Which other API Design principle will you add to the list?
How Computer Memory Works?
Here’s a simple breakdown that shows how data moves through a system from input to processing to storage.
Data enters through input sources like keyboard, mouse, camera, or remote systems.
Permanent storage holds your system files, apps, and media. This includes hard drives, USB drives, ROM/BIOS, and network-based storage.
RAM is the workspace of your computer. It includes physical memory and virtual memory, which temporarily store data and programs while you’re using them.
Cache memory sits closer to the CPU and is split into Level 1 and Level 2. It helps speed up access to frequently used data.
CPU registers are the fastest and smallest memory units. They’re used directly by the processor to execute instructions almost instantly.
The higher you go in the memory pyramid, the faster and smaller the storage.
Over to you: What else will you add to improve the understanding of a computer memory’s working?
Top Kubernetes Scaling Strategies You Must Know
Horizontal Pod Autoscaling or HPA
Horizontal Pod Autoscaler automatically scales the number of Pods in a Deployment, ReplicaSet, or StatefulSet based on observed CPU utilization, memory usage, or custom metrics.Vertical Pod Autoscaling or VPA
Based on application requirements, VPA adjusts the resources allocated to individual pods, such as CPU and memory. This approach dynamically changes pod resource settings based on workload metrics.Cluster Auto Scaling
The Cluster Autoscaler automatically adjusts the number of nodes in a Kubernetes cluster. It interacts with the cloud provider to add or remove nodes based on requirements. This is important to maintain a balanced cluster.Predictive Auto Scaling
Predictive Autoscaling uses machine learning to forecast future resource requirements. It helps Kubernetes adjust resources by anticipating workload demands.
Over to you: Which other Kubernetes Scaling Strategy will you add to the list?
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by "ByteByteGo" <bytebytego@substack.com> - 12:03 - 24 May 2025 -
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by "James Thomson - Golf Marketing Agency" <info@golfmarketingagency.co.uk> - 03:46 - 24 May 2025 -
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by "Russell Brunson" <newsletter@marketingsecrets.com> - 09:00 - 23 May 2025 -
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by "Brian" <Brian@hublioglobal.com> - 01:04 - 23 May 2025 -
[LAST CALL] The CF Connect Replay goes away tonight!
This is it…
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and once it’s gone… Who knows when it will come back! Could be collecting dust in the vault for years before this comes out again!
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This is the kind of replay you’ll wish you had access to late… But it disappears in just a few hours!!
Don’t miss it a second time!
WATCH THE CF CONNECT REPLAY BEFORE MIDNIGHT TONIGHT >>
To your success!
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Charting a course through today’s tariff landscape
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by "HZXC4" <HZXC4@xingchenIntelligent.com> - 10:13 - 22 May 2025 -
API Gateway vs Service Mesh - Which One Do You Need
API Gateway vs Service Mesh - Which One Do You Need
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Modern software systems rarely live in isolation. Most applications today are stitched together from dozens, sometimes hundreds, of independently deployed services, each handling a piece of the puzzle. This helps create smaller units of responsibility and loose coupling. However, the flexibility comes with a new kind of complexity, especially around how these services communicate.
In a monolith, in-process function calls stitch components together. In a service-based world, everything talks over the network. Suddenly, concerns that were once handled inside the application, like retries, authentication, rate limiting, encryption, and observability, become distributed concerns. And distributed concerns are harder to get right.
To manage this complexity, engineering teams typically reach for one of two patterns: the API gateway or the service mesh.
Both aim to make communication between services more manageable, secure, and observable. But they do it in very different ways, and for different reasons. The confusion often starts when these tools are treated as interchangeable or when their roles are reduced to simple traffic direction: "API gateways are for north-south traffic, service meshes are for east-west." That shortcut oversimplifies both and sets teams up for misuse or unnecessary overhead.
In this article, we look at both API Gateways and Service Mesh in detail, along with their key differences and usage goals.
What is an API Gateway?...
Continue reading this post for free in the Substack app
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by "ByteByteGo" <bytebytego@substack.com> - 11:35 - 22 May 2025 -
[FINAL CHANCE] The CF Connect Replay disappears tomorrow!
Just a quick heads up…
The ClickFunnels Connect Replay is coming down tomorrow (Friday) at 11:59PM.
This was one of the highest-value livestreams we’ve ever done. It wasn’t a pitch… It was just PURE VALUE content!
AND… Russell made a really cool announcement about how we are going to meet other Funnel Hackers now that FHL is not happening…
WATCH THE FULL CLICKFUNNELS CONNECT REPLAY WHILE IT’S STILL UP >>
Here’s what you’ll get inside the replay:
✅ Survey Funnels with Jake Leslie and Ben Moote - How to guide people into your offer the easy way!
✅ McCall Jones breaking down the “Hook, Story, Offer” formula + the charisma hack that helped launch $100K in 3 weeks!
✅ Bridger Pennington revealing his personal brand blueprint and the SEO trick that turned a forgotten funnel into a top Google result!
✅ And yes… Russell’s big announcement about what’s next for the ClickFunnels community!
You’ll walk away with a notebook full of ideas… And a playbook you can start using right away.
But again…
The replay is going away TOMORROW at 11:59PM!
Once it’s gone, it will be locked away in the vault for who knows how long!
WATCH THE FULL CLICKFUNNELS CONNECT REPLAY WHILE IT’S STILL UP >>
Talk soon!
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by "Todd Dickerson" <noreply@clickfunnelsnotifications.com> - 10:45 - 22 May 2025 -
How Accedo Leverages Observability to Power World-Class Video Experiences
New Relic
We just released our latest video on how Accedo leverages observability to power word-class video experiences with New Relic. Watch the video with Bleuenn Le Goffic, VP Business Transformation, at Accedo and Arnie Lopez, Chief Customer Officer at New Relic to learn more about:
- Strategic partnerships: Aligning with technology partners who understand and prioritise business outcomes.
- Business insights and competitive advantage: Gaining a holistic understanding of the video platform to identify trends, optimise user experiences, and create a competitive edge in the market.
- Key business challenges: Churn & cost efficiency: Understanding user behaviour and optimising platform efficiency that impact critical business objectives.
Watch the full video to hear the discussion on strategic partnerships, leveraging observability for business insights, managing peak events, and future trends in the video streaming industry.Watch Now 
by "New Relic" <emeamarketing@newrelic.com> - 05:05 - 22 May 2025 -
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by "James Thomson - Golf Marketing Agency" <info@golfmarketingagency.co.uk> - 04:06 - 22 May 2025 -
Why business leaders should go all in on AI
On McKinsey Perspectives
Brought to you by Alex Panas, global leader of industries, & Axel Karlsson, global leader of functional practices and growth platforms
Welcome to the latest edition of Only McKinsey Perspectives. We hope you find our insights useful. Let us know what you think at Alex_Panas@McKinsey.com and Axel_Karlsson@McKinsey.com.
—Alex and Axel
•
A big productivity boost. Not since the internet has there been a technology with AI’s broad scope and implementation, says former CEO and chairman of Cisco Systems John Chambers in a recent episode of McKinsey’s At the Edge podcast. In discussion with host and Senior Partner Lareina Yee, Chambers suggests that AI will enable well-run companies to improve their productivity by 7 to 10% every year during the current decade. By the end of 2025, he predicts that nearly everyone in an organization will use segments of AI in their day-to-day work.
—Edited by Belinda Yu, editor, Atlanta
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🔴 Live today: Expert Insights on AI, cyber resilience, and more
🔴 Live today: Expert Insights on AI, cyber resilience, and more
Hello, Ever feel lost in the maze of AI and cybersecurity jargon? You’re not alone. Let’s break it down—together. We’ve got the perfect guide for you: Yogesh Gupta—a tech expert with 18+ years of experience reporting on enterprise technology. Yogesh has been shaping the narrative for CIO.com and CSO events across India for over a decade, offering unmatched insights into business strategy, tech trends, and leadership challenges. Join us at 9:45 AM IST LIVE on LinkedIn as Yogesh takes you through the evolving tech landscape, helping you navigate the complexities of today’s digital world. Join the LIVE session now Don’t miss it! Cheers,
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Yongjiu Electric Power Fitting Co.,Ltd
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by "Mersudin Durchholz" <mersudindurchholz@gmail.com> - 11:00 - 21 May 2025 -
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by "Sciascia Fridge" <sciasciafridge@gmail.com> - 08:30 - 21 May 2025
