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@idjuric660 shared a post, 9 months, 4 weeks ago
Technical Content Writer, Mailtrap

Send Emails with Lovable and Mailtrap

Mailtrap.io

Learn how to integrate Mailtrap with your Lovable application to send transactional emails, manage contacts, and create powerful email workflows without writing complex code.

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@laura_garcia shared a post, 10 months ago
Software Developer, RELIANOID

🔐 Is your firewall doing enough to protect your applications?

As cyber threats continue to evolve, traditional firewalls that operate at the network or transport layers are no longer sufficient. That’s where Application-Level Firewalls (ALFs) come in — offering deep inspection, application-aware filtering, and real-time protection against sophisticated attacks..

KB What is application level firewall
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@laura_garcia shared a post, 10 months ago
Software Developer, RELIANOID

Strengthening Operational Technology (OT) Security: What You Need to Know

The Cybersecurity and Infrastructure Security Agency (CISA), alongside 11 international partners, has released the ‘Secure by Demand’ guide to help OT owners and operators integrate robust security measures into their procurement processes. The guide highlights 12 essential security elements that cr..

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@viktoriia-yarosh shared a post, 10 months ago
Freshcode

How Grammarly and Kasta Made Ukraine a Global Clojure Hotspot

When developers think of the global adoption of Clojure, they often cite giants like Netflix, Walmart, or Nubank. There is, however, a thriving Clojure ecosystem that has been stealthily powering innovation from an unsuspecting part of the world: Ukraine. With over 633 tech companies and some unicor..

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@laura_garcia shared a post, 10 months ago
Software Developer, RELIANOID

🚀 DevOpsDays arrives in Lima for the first time!

On August 21, 2025, DevOps practitioners and tech leaders will gather to share insights on CI/CD, SRE, DevSecOps, AI/MLOps, and CloudOps. 🔹 RELIANOID will be there—showcasing how our platform empowers secure, scalable, observability-driven DevOps operations. #DevOpsDays#DevOps#SRE#DevSecOps#CloudOps..

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@faun shared a link, 10 months ago
FAUN.dev()

You can’t UPDATE what you can’t find: vs PostgreSQL

ClickHouse just leveled up. Its new SQL-standardUPDATEis fast—PostgreSQL-fast on single-row changes, and up to4,000×faster on bulk updates. That’s pure columnar speed plus parallelism in the driver’s seat. Yes, both use MVCC. But unlike Postgres, ClickHouse dodges transaction bloat by default. That.. read more  

You can’t UPDATE what you can’t find: vs PostgreSQL
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@faun shared a link, 10 months ago
FAUN.dev()

Building a web search engine from scratch in two months with 3 billion neural embeddings

An indie dev just went full mad scientist and built a full-stack, transformer-powered search engine—solo. They indexed 280 million pages from scratch with hundreds of crawlers, a fully sharded backend, and serious metal:64 RocksDB nodes,200 CPU cores, and82 TB of SSD. Under the hood: custom HTML pa.. read more  

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@faun shared a link, 10 months ago
FAUN.dev()

Using AWS ECR as a universal OCI repository

AWS ECR is an OCI repository supporting different types of artifacts, from Docker images to machine learning models, allowing for simplified management and unified access. Users can interact with ECR using CLI tools like ORAS, Helm, and Terraform, providing integration with CI/CD pipelines for effic.. read more  

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@faun shared a link, 10 months ago
FAUN.dev()

Node.js v22.18.0 (LTS) is out

Node.js just got spicier. You can now runTypeScript files out of the box—no transpile step, no weird configs. It’s experimental, and only supports a trimmed-down syntax, but still: big move. Elsewhere, it’s tacklingburst fs eventswith AsyncIterator support, tightening upCJS/ESM cycle resolution, an.. read more  

Node.js v22.18.0 (LTS) is out
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@faun shared a link, 10 months ago
FAUN.dev()

The decline of high-tech manufacturing in the United States

High-tech manufacturing used to employ 2.8% of U.S. workers back in 1990. Now it’s down to 1.3%. The sharpest losses hitcomputers, electronics, and aerospace—industries that once defined the future. Onlypharma and med devicesmanaged to buck the trend, adding 189,000 jobs while the rest bled over a .. read more  

The decline of high-tech manufacturing in the United States
Grafana Tempo is a distributed tracing backend built for massive scale and low operational overhead. Unlike traditional tracing systems that depend on complex databases, Tempo uses object storage—such as S3, GCS, or Azure Blob Storage—to store trace data, making it highly cost-effective and resilient. Tempo is part of the Grafana observability stack and integrates natively with Grafana, Prometheus, and Loki, enabling unified visualization and correlation across metrics, logs, and traces.

Technically, Tempo supports ingestion from major tracing protocols including Jaeger, Zipkin, OpenCensus, and OpenTelemetry, ensuring easy interoperability. It features TraceQL, a domain-specific query language for traces inspired by PromQL and LogQL, allowing developers to perform targeted searches and complex trace-based analytics. The newer TraceQL Metrics capability even lets users derive metrics directly from trace data, bridging the gap between tracing and performance analysis.

Tempo’s Traces Drilldown UI further enhances usability by providing intuitive, queryless analysis of latency, errors, and performance bottlenecks. Combined with the tempo-cli and tempo-vulture tools, it delivers a full suite for trace collection, verification, and debugging.

Built in Go and following OpenTelemetry standards, Grafana Tempo is ideal for organizations seeking scalable, vendor-neutral distributed tracing to power observability at cloud scale.