Madhu

[Dave Callan | dotnet @Dave_DotNet]

Native OpenTelemetry tracing for ASP #dotnet 🔥
Coming in ASP .NET 11 Preview 2!

[Sridhar Vembu @svembu]

Arattai app available for Android TV, for a much richer video call experience. Expect more updates soon! Happy new year to everyone ❤️

[Madhu @bs_madhu]

@svembu @Swapnil48704134 Great features. Note: I experienced poor voice capture using a webcam mic on Google TV. utilizing the mobile microphone should solve this problem and ensure better audio quality

[Aíshú❤️‍🔥Thalapathy🇪🇸 @AishThalapathy]

He never fails to respect his fans 🥺🔥🛐❤️📈
@TVKVijayHQ
#TVKVijay

[Madhu @bs_madhu]

@sysxplore Shouldn't NAT port mapping be 5733 instead of 5333?

[Madhu @bs_madhu]

@IndianOilcl
Status of your Service Request based on your Mobile Number or Service Request Number is failing

[Alex Xu @alexxubyte]

How do we design effective and safe APIs?

[Bytebytego @bytebytego]

What are the differences between a load balancer and an API gateway?

First, let's clarify some concepts before discussing the differences.

1️⃣ NLB (Network Load Balancer) is usually deployed before the API gateway, handling traffic routing based on IP. It does not parse the HTTP requests.

2️⃣ ALB (Application Load Balancer) routes requests based on HTTP header or URL and thus can provide richer routing rules. We can choose the load balancer based on routing requirements. For simple services with a smaller scale, one load balancer is enough.

3️⃣ The API gateway performs tasks more on the application level. So it has different responsibilities from the load balancer.

The diagram below shows the detail. Often, they are used in combination to provide a scalable and secure architecture for modern web apps.

Option a: ALB is used to distribute requests among different services. Due to the fact that the services implement their own rating limitation, authentication, etc., this approach is more flexible but requires more work at the service level.

Option b: An API gateway takes care of authentication, rate limiting, caching, etc., so there is less work at the service level. However, this option is less flexible compared with the ALB approach.

Over to you: Which one should we use, a load balancer or an API gateway?

—
Subscribe to our weekly newsletter to get a Free System Design PDF (158 pages): https://t.co/eVEdOFSYPY

[Satyasheel Singh @ItsSatyasheel]

Storage Classes in Kubernetes

👉In Kubernetes, StorageClasses provide a mechanism for administrators to define various types of storage available within a cluster, enabling dynamic provisioning of Persistent Volumes (PVs) based on specific requirements.

👉By leveraging StorageClasses, Kubernetes clusters can efficiently manage diverse storage needs, ensuring that applications have access to appropriate storage resources dynamically and seamlessly.

👀Here are key points to understand about StorageClasses:

⚡️Purpose of StorageClasses: They allow administrators to describe different classes of storage, which can map to various quality-of-service levels, backup policies, or arbitrary policies determined by the cluster administrators.

⚡️Dynamic Provisioning: StorageClasses facilitate dynamic provisioning, where the system automatically creates a PV when a PersistentVolumeClaim (PVC) is made, eliminating the need for manual pre-provisioning.

⚡️Provisioner Field: Each StorageClass has a provisioner field that specifies the type of storage provisioner to use (e.g., AWS EBS, GCE PD, or a custom provisioner).

⚡️Parameters: The parameters field allows specifying configuration options for the provisioner, such as disk type or replication factor, tailoring the storage to specific needs.

⚡️Reclaim Policy: The reclaimPolicy field determines the behavior of the PV when released from its claim. Common policies include Retain, Recycle, and Delete.

⚡️Default StorageClass: A cluster can have a default StorageClass, which is used to provision volumes for PVCs that do not request a specific class. Administrators can change or disable the default as needed.

⚡️Binding Mode: The volumeBindingMode field controls when volume binding and dynamic provisioning occur. Modes include Immediate and WaitForFirstConsumer, affecting scheduling and resource allocation.

⚡️AllowVolumeExpansion: Setting
allowVolumeExpansion to true enables resizing of volumes associated with the StorageClass, providing flexibility to accommodate changing storage needs.

⚡️Custom StorageClasses: Administrators can create multiple StorageClasses to cater to different storage performance and cost requirements, offering users options to select storage that best fits their workload.

[Satyasheel Singh @ItsSatyasheel]

Projected Volume in Kubernetes

👉In Kubernetes, a Projected Volume allows combining multiple existing volume sources into a single directory within a Pod. This approach simplifies the management and consumption of different types of configuration and secret data.

👉By utilizing projected volumes, Kubernetes users can efficiently manage and access configuration data, secrets, and other essential information within their applications, promoting a more organized and secure deployment environment.

👁️Here are key points to understand about projected volumes:

➡️Definition: A projected volume merges several volume sources into the same directory, enabling containers to access diverse data from a unified location.

➡️Supported Volume Sources: The types of volume sources that can be projected include:

1.secret

2.configMap

3.downwardAPI

4.serviceAccountToken

5.clusterTrustBundle

➡️All sources must reside in the same namespace as the Pod.

➡️Configuration: To configure a projected volume, define a projected volume in the Pod specification, listing the desired sources under the sources field. Each source can specify specific items to include and their respective paths within the projected volume.

➡️Access Control: By consolidating sensitive data like secrets and service account tokens into a single volume, projected volumes facilitate streamlined access control and auditing within the application.

➡️Volume Mounts: Containers within the Pod can mount the projected volume at a specified path, allowing the application to interact with the combined data as if it were part of the container’s filesystem.

➡️Data Updates: When the underlying data in the source volumes (e.g., a ConfigMap or Secret) is updated, the projected volume reflects these changes, ensuring that the application accesses the most current information.

➡️Limitations: While projected volumes offer a convenient way to aggregate data, it’s essential to manage the size and number of items included to avoid excessive resource consumption within the Pod.

➡️Security Considerations: Carefully control access to the source volumes and the projected volume to prevent unauthorized access to sensitive information. Implement appropriate Kubernetes RBAC policies and Pod security contexts to enforce these controls.

➡️Use Cases: Projected volumes are particularly useful for aggregating configuration data, secrets, and service account tokens into a single directory, simplifying the application’s access to necessary information.

[Jody Donetti @jodydonetti]

FusionCache v2 is finally out 🎉

I still can't believe it: months of work & experiments, tons of features, perf tuning & more.

The big themes are:
🏷️ Tagging
🧼 Clear()
Ⓜ️ Microsoft HybridCache support

The gargantuan release note has the jiucy details!

https://t.co/KVZEdeOcS3

[Ivan Velichko @iximiuz]

What is Port Forwarding, a.k.a. Port Mapping?

If you ran into this fancy term but were too afraid to ask, Port Forwarding is just a way to say that data addressed to one socket is redirected to another by an intermediary (e.g., a network router, a proxy process, or the kernel).

[Ivan Velichko @iximiuz]

Are your Docker images huge and full of CVEs? 🐳

Multi-stage builds and careful base image selection can fix that.

Read my multi-stage builds intro to understand the How's and the Why's and get practical examples for Node.js, Go, Java, Rust, and PHP: https://t.co/U4qN8SaUv0

[Madhu @bs_madhu]

Build Apache Camel integrations visually with Kaoto, a free VS Code extension. Drag-and-drop, connectors, no complex Java code. Learn more: https://t.co/EPjIEFyFdt

#ApacheCamel #integration #API #lowcode

[Madhu @bs_madhu]

This YouTube course will teach you how to create visual representations of software systems using PlantUML's simple text-based language. 💻

Check out the course here: https://t.co/uJjNbpUl8E

#PlantUML #diagramming #softwaredevelopment #communication

[Madhu @bs_madhu]

Improve your .NET AWS Lambda function cold start using Lambda SnapStart
https://t.co/N4rWJ560XH

[Madhu @bs_madhu]

@davidfowl
I am trying to implement TCP server that can receive & process MLLP frames based on your KestrelTcpDemo . It works for non TLS based connections. I want to support TLS but I didn't see any options in ListenOption to provide X509 certs.
https://t.co/IwaRc4e7EF

[Sahn Lam @sahnlam]

How to Build Fault-Tolerant Systems

[TRÄW🤟 @thatstraw]

OSI Model data encapsulation and de-encapsulation

[Tech Fusionist @techyoutbe]

🔥 OSI Model vs TCP/IP Model 🔥

𝑇ℎ𝑒 𝑂𝑆𝐼 𝑚𝑜𝑑𝑒𝑙 (7 𝑙𝑎𝑦𝑒𝑟𝑠) 𝑝𝑟𝑜𝑣𝑖𝑑𝑒𝑠 𝑎 𝑑𝑒𝑡𝑎𝑖𝑙𝑒𝑑 𝑓𝑟𝑎𝑚𝑒𝑤𝑜𝑟𝑘 𝑓𝑜𝑟 𝑛𝑒𝑡𝑤𝑜𝑟𝑘 𝑐𝑜𝑚𝑚𝑢𝑛𝑖𝑐𝑎𝑡𝑖𝑜𝑛, 𝑤ℎ𝑖𝑙𝑒 𝑡ℎ𝑒 𝑇𝐶𝑃/𝐼𝑃 𝑚𝑜𝑑𝑒𝑙 (4 𝑙𝑎𝑦𝑒𝑟𝑠) 𝑓𝑜𝑐𝑢𝑠𝑒𝑠 𝑚𝑜𝑟𝑒 𝑜𝑛 𝑝𝑟𝑎𝑐𝑡𝑖𝑐𝑎𝑙 𝑑𝑎𝑡𝑎 𝑡𝑟𝑎𝑛𝑠𝑓𝑒𝑟. 𝐵𝑜𝑡ℎ 𝑚𝑜𝑑𝑒𝑙𝑠 𝑎𝑟𝑒 𝑐𝑟𝑢𝑐𝑖𝑎𝑙 𝑓𝑜𝑟 𝑢𝑛𝑑𝑒𝑟𝑠𝑡𝑎𝑛𝑑𝑖𝑛𝑔 𝑛𝑒𝑡𝑤𝑜𝑟𝑘𝑖𝑛𝑔 𝑝𝑟𝑜𝑡𝑜𝑐𝑜𝑙𝑠.

From Application to Physical Layer, learn how these models structure data flow, communication, and networking! 🚀

OSI layers: Physical, Data Link, Network, Transport, Session, Presentation, Application.
TCP/IP maps to: Network Access, Internet, Transport, Application.

🔍 Key protocols:
- HTTP, FTP, DNS (OSI)
- TCP, IP (TCP/IP)

Both models ensure data transmission & communication! 📡💻

#Networking #TechExplained