Bilgin Ibryam Profile picture
Oct 5, 2022 5 tweets 3 min read Read on X
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/…
The RED method takes an externally-visible (request-driven) view of the workload. For every workload, it checks request rate, error-rate, time each request takes.
weave.works/blog/the-red-m…
The USE method takes an internal, resource-centric view of the workload. For every resource, it checks utilization, saturation, and errors. The goal is to understand how these resources behave in the presence of the load.
brendangregg.com/usemethod.html
➡️ Start with RED and treat the services as a black box. Best for request-driven apps.
➡️ Combine with USE to check stateful/non-request-based systems and components as white box.
➡️ If none helps, check logs and traces too.
copyconstruct.medium.com/logs-and-metri…

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More from @bibryam

Jul 15, 2023
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: 🧵👇 Image
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👇 Image
2) There are three high-level autonomous service patterns that all other services fall under

▶️Backend for Frontend (BFF),
▶️External Service Gateway (ESG)
▶️Control Service Image
Read 6 tweets
Jul 2, 2023
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
3/7 Some of my favourite sections next.
Types of solution architects: #generalists vs #specialists
Read 7 tweets
Jun 29, 2023
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-…
Image
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 Image
3/5 ➡️🔌 Synchronous (stateless) networking will move away from applications into plug-and-play components.

If the data changes, developers must know (ex: connectors, transformation, content-based routing, aggregate, split). These patterns will become polyglot and reusable. Image
Read 5 tweets
Jun 1, 2023
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🧵👇 Image
👍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. Image
👎Not a Great Fit for:

Senior developers looking for an in-depth understanding of data solutions. While this book provides a broad overview, it might not delve into the depth that experienced professionals may seek. For the latter, I recommend this
Read 5 tweets
Feb 15, 2023
"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)
2⃣The infrastructure/compute centric cloud era

This is the time of transition to microservices & raw cloud infra

➡️ Dynamic compute, networking, and storage cloud services (not app centric)
➡️ Containers emerging as de facto app packaging & compute format, & HTTP for networking
Read 6 tweets
Feb 3, 2023
🧵 "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)
2⃣Primary focus area

Knative extends Kubernetes with serverless containers by taking care of runtine networking (sync/async), autoscaling (to/from zero), and app revision tracking...
Read 16 tweets

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