Platform
We track 59 posts about Platform from 43 engineering blogs. Most active: Grab, Red Hat, Clickhouse. Latest post: Oct 9, 2026.
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How iSAM Funds built an options research platform for a 10,000x data problem with ClickHouse Cloud (opens on the source site)
iSAM Funds uses ClickHouse Cloud to research full options history, achieving 35–50x compression and 100x faster single-core ingestion while simplifying its data pipelines.
Build a multi-tenant platform with OpenShift Dev Spaces (opens on the source site)
Red Hat ·
For platform teams building cloud-native software, the local developer workstation has evolved from a productivity tool into an operational risk. Developers lose valuable time wrestling with local VM setups or hunting down "works on my machine" bugs. As local environments diverge, architectural friction stalls engineering progress and pulls platform teams into endless troubleshooting. The post Build a multi-tenant platform with OpenShift Dev Spaces appeared first on Red Hat Developer.
Part 5: Operating an LLM system: observability, cost, routing, and the platform underneath (opens on the source site)
Your service can be 100% up and still quietly approving the wrong things, burning its budget, or failing over into untested quality. Level 5 is the infrastructure that lets you see your decisions, bound your spend, route and fail over between models, kill bad behavior in seconds — and the platform that makes all of it possible.
Announcing Workday Data Connect federation in Unity Catalog (opens on the source site)
We're excited to announce the publicly available Beta of the Workday Data Connect federation connector for Unity Catalog...
We want you to build the next Git platform on Cloudflare (opens on the source site)
Cloudflare is hosting a competition to see who will build the next Git platform for an era of AI agents. Artifacts is in open beta, with Workers bindings, data jurisdiction controls, and event subscriptions for repository changes.
Datadog alternatives: which observability platform fits your needs? (opens on the source site)
If you've ever responded to a late-night service outage, then you know how important it is to have the right tooling to get everything back up and running. Platforms like Datadog handle monitoring along with data collection and analysis across all kinds of vectors, spanning infrastructure monitoring, network performance, and security compliance. The insights Datadog provides enable actionable improvements to your technical architecture, resulting in satisfied customers and better business outcomes. While Datadog is one of the dominant players in the observability space, that doesn't mean it's…
Platform-independent SIMD in Go (opens on the source site)
Go ·
The Go Blog Platform-independent SIMD in Go David Chase and Junyang Shao 24 September 2026 Go 1.26 and 1.27 include experimental APIs for Single Instruction Multiple Data (SIMD) operations. SIMD is a native feature of many modern CPUs that allows software to perform uniform operations across vectors of data very quickly, such as adding 8 pairs of float64 values in a single instruction. It can significantly speed up many computationally-intensive tasks, ranging from cryptography to data processing to AI. In fact, Go’s Green Tea garbage collector even makes use of SIMD to accelerate scanning…
AI Infra Summit: NVIDIA Vera Rubin and DSX Platform Advancements Showcase Energy Efficiencies of Optimizing Tokens Per Watt for AI Factories (opens on the source site)
Nvidia ·
Ian Buck, vice president of hyperscale and high-performance computing at NVIDIA, Tuesday spoke on AI factory efficiency at the AI Infra Summit, the Santa Clara Convention Center event that has morphed into a Coachella of infrastructure tech. Before a packed audience — with more than 8,000 attendees this year, up from 3,500 last year — […]
Evolving Pinterest’s Embedding Retrieval Platform (opens on the source site)
Authors: Bowen Zhou | Staff Software Engineer; Shan Gao | Senior Software Engineer; Jingwen Hu | Software Engineer II; Wenjiang Chu | Staff Software EngineerThe Billion-Embedding ChallengeAt Pinterest, the “signal” is our lifeblood. Whether it’s a home decor enthusiast finding the perfect rug or a fashion seeker discovering a new aesthetic, our discovery engine relies on understanding deep semantic relationships to help our users find inspirations. Over the last few years, the explosive growth of embedding-based retrieval has fundamentally transformed how we surface these signals — and at the…
Three principles for building a vector platform at Thumbtack (opens on the source site)
Reusing what we already had, treating embeddings as data, and lowering the next team’s costToday, an ML engineer at Thumbtack can stand up production vector search without negotiating database access, building a custom ETL, or writing a query service. The team brings their choice of embedding model, the data, and the query; the platform handles what connects them. It took several iterations to get to this point. In this post we’ll walk through how we got there and the three principles that shaped what we built.A vector database stores high-dimensional numeric arrays (embeddings) and serves…
We Stopped Waiting for Platform Changes to Find Us (opens on the source site)
A daily Codex task now reads official Apple and Google notices, traces each requirement to Codename One source and build output, and turns verified gaps into fixes before the deadline.
We Cut Cloud Waste Before Touching Cluster Sizes: Lessons from Running a Data Platform (opens on the source site)
How orphaned BigQuery storage, Delta retention, DMS right-sizing, and Databricks System Tables became our biggest cloud cost wins.The biggest cloud cost optimization we made wasn’t shrinking clusters.It was deleting data we’d forgotten we were paying for.Like most teams, our first instinct was to tune infrastructure first. Instead, we discovered a treasure trove of hidden costs: orphaned BigQuery datasets, 90-day Delta retention, 24-hour jobs no one monitored, and DMS infrastructure that no longer matched business needs.We stopped treating cloud bills as a finance problem and started treating…
From incident to remediation: Building an AI-driven AIOps workflow with Red Hat Ansible Automation Platform (opens on the source site)
Red Hat ·
AI can help operations teams make sense of an incident, but understanding a problem is only half the challenge. The next question is: How do you turn that insight into a safe, repeatable action? To explore this, I built a simple AIOps workflow using an AWS EC2 instance running Red Hat Enterprise Linux (RHEL), Red Hat Ansible Automation Platform, Claude Code, and model context protocol (MCP). The post From incident to remediation: Building an AI-driven AIOps workflow with Red Hat Ansible Automation Platform appeared first on Red Hat Developer.
Build AI-assisted firewall workflows with Ansible Automation Platform (opens on the source site)
Red Hat ·
"Can you allow app-client-01 to reach the database on port 5432?" The post Build AI-assisted firewall workflows with Ansible Automation Platform appeared first on Red Hat Developer.
How the FDA is building a secure, AI-ready data foundation on Databricks for Government (opens on the source site)
Modernizing a federal data platform is a little like steering an aircraft carrier while rebuilding the engine mid-ocean...
How Uno Platform uses .NET, MCP, and AI to build high quality apps (opens on the source site)
.NET ·
How Uno Platform built two Model Context Protocol servers in C# so AI agents can ground themselves in real documentation and then see and drive a running cross-platform .NET app. The post How Uno Platform uses .NET, MCP, and AI to build high quality apps appeared first on .NET Blog.
How Suprema Gaming made its data platform agent-ready with ClickHouse Cloud (opens on the source site)
Suprema Gaming migrated its analytics platform from Snowflake to ClickHouse Cloud to power a company-wide shift toward agentic operations.
New in Confluent Cloud and WarpStream: Evolving the Data Streaming Platform for AI, Scale, and Control (opens on the source site)
Accelerate enterprise streaming and AI workloads with new product updates across Kora, connectors, Flink, Tableflow, AI anomaly detection and forecasting, security enhancements, and Warpstream.
Auth0 Learning: The New Skill-Building Platform for Developers (opens on the source site)
Auth0 ·
We listened to your feedback and built Auth0 Learning. Find courses, track your progress, and earn Auth0 skill badges on a platform built just for you.
How iFood built its agentic security platform on ClickHouse Cloud (opens on the source site)
iFood rebuilt its in-house security platform on ClickHouse Cloud, getting 9-16x faster queries at 40-50% of the cost and unlocking agentic threat hunts that cut a week of analyst work down to two hours.
A $70-a-month production app replaced a $5,000-a-month platform: What production-grade AI coding looks like (opens on the source site)
See how Fran Muñoz used production-grade AI coding, specification-driven development, and 3,600 tests to replace a $5,000-a-month platform with a $70 app.
Test reporting in Microsoft.Testing.Platform: from red build to root cause (opens on the source site)
.NET ·
Microsoft.Testing.Platform brings failures into GitHub Actions and Azure DevOps, uses pipeline history to separate regressions from flakes, and preserves usable reports when a test host crashes. The post Test reporting in Microsoft.Testing.Platform: from red build to root cause appeared first on .NET Blog.
General Availability of Mobile Platform Support Arrives in Discord Social SDK Version 1.10 (opens on the source site)
Discord ·
Mobile support is now generally available in the Discord Social SDK, allowing developers to extend Discord's social experiences to iOS and Android.
Your trusted knowledge layer: Introducing Stack Internal's new platform experience (opens on the source site)
Introducing new Stack Internal capabilities as part of our upcoming platform experience. Our latest release turns your existing foundation of knowledge into enterprise memory that your people, teams, and AI agents can act on. Learn how we’re building the trust layer for enterprise AI.
Announcing Confluent Platform 8.3: Powerful Apache Flink® SQL operations, Easier KRaft Migrations, Expanded Monitoring and more. (opens on the source site)
Announcing Confluent Platform 8.3: Powerful Apache Flink® SQL operations, Easier KRaft Migrations, Expanded Monitoring and more
Agent platform (Part 1): How we help Grab build and run AI agents at scale (opens on the source site)
Grab ·
Part 1: From one support bot to a framework At Grab, AI agents have evolved from interesting team prototypes into production services used every day by millions of merchants, drivers, and consumers. Today, more than 500 services run on our internal agent framework, over 50 Model Context Protocol (MCP) servers are registered on our remote MCP framework, and a single Large Language Model (LLM) gateway fronts every model call across the company, handling billions of tokens each month. None of this was designed up front. It began as the plumbing behind one internal support bot, which then…
How our universal content processing platform Riviera evolved for AI and beyond (opens on the source site)
Dropbox ·
Riviera is the Dropbox content processing platform that’s been iteratively improving content transformation in our products for roughly a decade.
Shipyard: How We Built Slack’s Next-Generation EC2 Platform (opens on the source site)
Slack ·
Over the past few years, we’ve been on a journey to modernise how we run Amazon Elastic Compute Cloud (EC2) instances at Slack. In our first post, Advancing Our Chef Infrastructure, we shared how we moved from a single Chef stack to a resilient, multi-stack setup with versioned cookbook deployments and safer promotion workflows. This…
Migrating Counter Service storage: Design choices and learnings (opens on the source site)
Grab ·
Introduction Counter Service is used across Grab’s anti-fraud platform to answer time-windowed count questions, such as recent ride requests by a user or failed payment attempts on a card. The service handles tens of thousands of queries per second (QPS) with about a billion requests per day, while maintaining strict requirements around latency and reliability to support real-time fraud rule evaluation. For most of its life, Counter Service was backed by a wide-column database that served the workload reliably as the service scaled. As part of a broader infrastructure review mandated at an…
Palana (Part 2): Architecting isolation, identity, and auditability for AI agents (opens on the source site)
Grab ·
Introduction In Part 1, we introduced Palana, Grab’s Kubernetes-native secure execution platform for autonomous AI agents. We discussed the underlying need for isolated environments and covered its core design principles: treating isolation as the unit of trust, keeping credentials out of agent hands, and mediating all network access. In this second part, we’ll dive under the hood into Palana’s architecture, look at the agent lifecycle, and share the key lessons we learned from putting this system into production. Architecture overview The core request path looks like this: Figure 1. Palana…
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