Opslane (YC S24) stitches together relevant context (logs, metrics, traces, code changes, and runbooks) using AI to speed up incident response time for on-call SRE teams. Co-founder Abhishek Ray helped scale infra from ~1M to 20M+ customers at Robinhood and now uses Porter for out-of-the-box scalable infra with a streamlined developer experience.
Porter’s Post
More Relevant Posts
-
Revisiting #microservices - Day 56/100 🚀 1/3 Saga Pattern The Saga pattern in microservices is a mechanism for managing distributed transactions. * It involves breaking down a long transactional operation into a series of smaller, localized transactions that can be executed independently. * Each transaction in the saga represents a step in the overall process, * Each step updates the database and triggers the next step via events or messages. * This approach ensures that if any part of the transaction fails, compensating actions can be taken to maintain data consistency without needing to roll back the entire operation. What else should we add? Don´t miss the next post, add your comment to be notified.
To view or add a comment, sign in
-
-
API development typically aims to provide near-real-time responses. But what happens when dealing with a large dataset requiring more processing time? That's where Celery, a tool for maintaining task queues based on distributed messaging systems, comes in handy. Hear from our CTO, Shobhit Verma, as he explains why Celery is his go-to solution for handling time-consuming tasks and why he terms it as a middleman between producer and consumer in managing the tasks efficiently. Hop on to the link below: https://lnkd.in/g7f5xfFp #tech #banking #payments #engineering #celery #fintech #api #dataset
To view or add a comment, sign in
-
-
Excited to share a glimpse of our development process at NBK Diaspo! The screenshot highlights: 1️⃣ FastAPI backend code for the wallet organization service, with clean and well-defined endpoints to manage organizations efficiently. 2️⃣ Postman in action, testing and debugging APIs to ensure reliability and performance. 3️⃣ Docker, powering our containerized environment for seamless deployment, scalability, and consistency across different stages of development. At NBK, we're leveraging cutting-edge tools like FastAPI and Docker to build robust and scalable wallet solutions. By focusing on modern frameworks and containerized environments, we aim to revolutionize wallet and API gateway integrations while ensuring the highest levels of performance and security. Proud to be part of this innovation journey with NBK! #BackendDevelopment #FastAPI #Docker #Postman #APIs #Fintech #NBK
To view or add a comment, sign in
-
🚀 Transforming FinTech with the Power of Golang! 💳💻 The FinTech revolution demands technology that’s fast, secure, and scalable—and Golang (or Go) delivers on all fronts. With its simplicity, concurrency, and unparalleled performance, Go has become a go-to choice for building modern FinTech solutions. Why Golang is Perfect for FinTech: ✅ High Performance: Go's compiled nature ensures ultra-fast execution, critical for real-time financial transactions. ✅ Concurrency at Scale: Handle millions of simultaneous processes effortlessly—perfect for payment gateways, trading platforms, and more. ✅ Security: Built-in safety features and easy integration with encryption libraries to keep financial data secure. ✅ Reliability: Designed for robust, production-ready systems that handle critical workloads 24/7. FinTech Solutions Powered by Go: 💸 Payment Gateways & Digital Wallets 📈 Stock Trading Platforms & Market Analytics 🏦 Banking APIs & Backend Systems 🔐 Fraud Detection Systems 📊 Real-time Data Processing & Reporting Companies Already Using Go in FinTech: Many leading FinTech companies like Revolut, Monzo, and PayPal leverage Golang to scale their platforms and deliver seamless customer experiences. Ready to build the future of FinTech with Go? sales@scalent.io www.scalent.io Let’s make it fast, secure, and scalable—just like your ambitions. #FinTech #Golang #Innovation #PaymentSolutions #BankingTech #FinancialServices #TechForFinance
To view or add a comment, sign in
-
🎧 Check out Erik Carlin and Hitesh Chitalia’s insightful #FinOpsX session on Automated Rate Optimization. Just yesterday, I was on a call with a major organization, and here’s what they had to say about it: "That was really good. Among all the presentations at FinOps X, this one stood out—it’s one of the few I vividly remember." – Future ProsperOps Customer Come Prosper with Us 🖖 Video link in comments 👇 FinOps Foundation #cloudrateoptimization #automation
To view or add a comment, sign in
-
-
Fragmented output roots disrupting your workflow? TraceHawk unifies data across OP Stack rollups, offering a consistent view of output roots and their impact on Layer2 operations. #TraceHawk #BlockchainTech #OPStack #BlockExplorer
To view or add a comment, sign in
-
-
🛠️ When decomposing a #monolith, one of the first steps is to define an API suitable for your new #microservice. 🤔 It’s a good idea to consider designing these APIs to support an asynchronous, event-driven approach. Wade Waldron walks through a concrete example in this use case module, showing how an API can be isolated and redesigned to be replaced by an external microservice. Follow along and learn how:
Defining Asynchronous Microservice APIs for Fraud Detection
confluent.smh.re
To view or add a comment, sign in
-
🛠️ When decomposing a #monolith, one of the first steps is to define an API suitable for your new #microservice. 🤔 It’s a good idea to consider designing these APIs to support an asynchronous, event-driven approach. Wade Waldron walks through a concrete example in this use case module, showing how an API can be isolated and redesigned to be replaced by an external microservice. Follow along and learn how:
Defining Asynchronous Microservice APIs for Fraud Detection
confluent.smh.re
To view or add a comment, sign in
-
🛠️ When decomposing a #monolith, one of the first steps is to define an API suitable for your new #microservice. 🤔 It’s a good idea to consider designing these APIs to support an asynchronous, event-driven approach. Wade Waldron walks through a concrete example in this use case module, showing how an API can be isolated and redesigned to be replaced by an external microservice. Follow along and learn how:
Defining Asynchronous Microservice APIs for Fraud Detection
confluent.smh.re
To view or add a comment, sign in
-
this meme led to an interesting convo: friend: Borg are perpetually in a build phase. never take a step back to fix the cables. me: That's a lot of technical debt. friend: can you imagine how they just "hack together" a species's technology into their own stack? me: To tech folks, that kind of software assimilation is more frightening than actual assimilation. Imagine if they kept you human just long enough to complete the integration into their Frankenstack. You'd be *begging* to be assimilated.
To view or add a comment, sign in
-