Book review 🌟Software Architecture Patterns for Serverless Systems🌟 by John Gilbert

TLDR: dissects the #serverless landscape into key patterns and mindset that everyone developing cloud applications must know!

🧠Top 3 ideas from this book are: 🧵👇 1) Autonomous service - owns all the resources it needs to continue to function even when other services cannot. Its building blocks are: Command, Publish, Consume, Query (CPCQ)

CPCQ - this is the core serverless pattern👇

Book review 📕Solutions Architect's Handbook📕by
@it_saurabh & Neelanjali Srivastav

TLDR: probably the the most comprehensive guide, with the right balance of breadth and depth, for anyone aspiring to become a Solutions Architect 🧵👇 1/7

https://t.co/QlRX1jYc4Fpacktpub.com/product/soluti…
2/7 Covers essential concepts: attributes, principles, patterms, artifacts, and latest technologies for solution architecture, using microservices, event-driven, cache-based, and serverless patterns

1/5 📢 Excited to share my new blog post on
🌟Application Networking Trends🌟 @thenewstack

We are witnessing a shift where networking concerns either sink down ⬇️ to the compute layer, or raise up ⬆️ into de facto APIs in the cloud. Let's dive into it!

thenewstack.io/unveiling-the-…
2/5 ⬇️🕸️Transparent networking will keep descending and disappearing.

If the network doesn't change the data, if the devs and apps are not aware of it (ex: Auth, mTLS, tracing, routing, discovery) it'll keep sinking to compute layer, sidecar, proxy, or even Linux kernel w/ eBPF

Book review: "Scalable Data Architecture with Java" from @PacktPublishing

TL;DR: provides a practical exploration of wide-range of data-driven solutions for Java developers looking to get a direction in the ecosystem🧵👇 👍Ideal Reader:

Java developers who already have a some understanding of backend systems and are keen on getting understanding of the broad data ecosystem, its architectures, and the inherent challenges.

"How Cloud Computing is transforming from raw infra to app-centric services"

Longer blog post 👉diagrid.io/blog/evolution…

TLDR of timelines, app, infra, API changes 👇🧵(0..4) 1⃣ The pre-cloud/early cloud Era:

This is the time of monolithic apps and static raw on-prem infrastructure.

➡️In this era, the monolith contains and does everything it needs to. Devs responsible for most.
➡️The OS primitives are the interface with infra (static IPs and VMs)

🧵 "How does @KnativeProject compare to @daprdev?”

Both projects help create & run cloud-native applications on Kubernetes, but differ in important aspects.

I thought I'd quickly share where these projects overlap and complement each other from a user point of view. 0/10 1⃣Community

Knative originated from Google, whereas Dapr from Microsoft. Today both projects are incubating at CNCF.
Both projects have growing communities and are within top 20 active CNCF projects (Dapr #10 and Knative #17)

Sidecar pattern coverage in "Software Architecture: The Hard Parts" is pretty good 👏, but a bit limited to traditional service mesh use case. 🧵👇 The Sidecar pattern decouples the domain logic from the technical (infrastructure) logic. It offer a clean way to spread some sort of cross-cutting concern across a distributed architecture, and can be used by more than just operational coupling .

📕Week #03 book review📕
“Fundamentals of Software Architecture”
by @neal4d @markrichardssa
tl;dr: A unique book on how architects approach decision-making, effective use of soft skills, and yet remain practical🧵👇 2) Who is this book for?
Tech leads and new architects (with 1-3 years of experience), this book is for you. Learn to think and act like an architect, make tradeoffs, deal with business buzzwords, and difficult developers.

I wrote a new blog post:
"The Flywheel Effect of Kubernetes APIs" and how @daprdev complements it.
thenewstack.io/the-flywheel-e…
Here is the TLDR 🧵👇 1⃣ Kubernetes API is the de facto standard for #on_cluster application orchestration. It serve as axiom among #Devs creating distributed applications and #Ops keeping these applications running.

After browsing latest 100+ @OReillyMedia book titles, here is what I picked for my December reading list: 🧵👇 1⃣ "Software Architecture: The Hard Parts" by @neal4d and co. I love technology agnostic architecture books that are timeless.
learning.oreilly.com/library/view/s…

USE vs RED - which is the better methodology for analyzing the performance of microservices 🤔? 🧵 Begin observing the performance characteristics of apps before the production rollout using Google's four golden signals. #ShiftLeft
ibm.com/garage/method/…

Slack’s Kafka journey to operational excellence at scale! Context and lessons 👇 🧵
➡️0.7 petabytes of data
➡️10 Kafka clusters x90 nodes
➡️6.5 Gbps throughput
💪small-but-mighty ops team
slack.engineering/building-self-… Challenge➡️ solution
Automation ➡️Chef, Terraform, CI/CD to build, release Kafka & ZK
Hot spotting➡️make partition counts to be a multiple of the broker count
Replication➡️limit the replication bandwidth
Imbalance ➡️ Cruise Control

🔸tldr of 245K words / 640 pages🔸
6 Most Important #Software #Requirements Practices in 6 Tweets 🧵
medium.com/analysts-corne… #1: Define business objectives & communicates to all stakeholders why they are working on the project.

Without business objectives, you can’t craft a clear product vision or establish the scope of either the entire project or any development increment.

medium.com/analysts-corne…

2021 State of the API design - a visual report by @getpostman 🧵👇 Who Works with APIs

📕Another week, another book review📕
"Learning Dapr"
tl;dr: A different perspective on distributed systems from the creators of Dapr. Introduction to @daprdev combined with creators early insights in one book 🧵👇 Starts with a detailed introduction to Dapr philosophy and architecture: Dapr is a language-neutral, unified programming model that abstracts infrastructure details from developers

Airbnb’s Journey To Post-Microservices
(HINT: microservies didn't solve all the problems)
medium.com/qe-unit/airbnb… Airbnb started with a Monolithic architecture inside a Monorepo. This carried them far, to $2.6B revenue before observing limitations with
➡️Velocity of software changes
➡️Component ownership

2022 State of the Java Ecosystem (@newrelic customers segment) 🧵👇
• The most used production version: Java 11🌟
• The most popular vendor? oracle ↘️ amazon 🚀
• The rise of containers, i.e. Kubernetes 🤘
• The most common heap size & garbage collector? In a year, Java 11 became the new standard:
↘️Java 8 from 85% to 46%
↗️Java 11 from 11% to 48%
Non-LTS such as Java 14 bellow 1%

📕Another week, another book review📕
"Kubernetes – An Enterprise Guide - 2nd edition"
tl;dr: An extensive (580page) guide into Kubernetes ecosystem with an emphasis on #Networking & #Security 🧵👇 Security is a multi-dimensional concern, and I ♥️how this book covers it from all angles: container, nodes, networking, supply chain…with recommended projects, setups and code included!

🤯 This is just mind-blowing 🤯
ServiceMesh evolution towards Sidecarless with eBPF 🧵 It always starts with a small change in the linux kernel.
From hardware networking, to software-defined networking, to dynamic programmable networking
cilium.io/blog/2020/11/1…

"Designing Hexagonal Architecture with Java"
This is an excellent book about #hexagonal architecture theory and practice in Java. 🧵
amazon.com/Designing-Hexa… It explains clearly the different hexagons in the architecture, the responsibilities, pitfalls, techniques and patterns to use in each