Send Emails with Lovable and Mailtrap
Learn how to integrate Mailtrap with your Lovable application to send transactional emails, manage contacts, and create powerful email workflows without writing complex code.
Updates and recent posts about BigQuery.. Story
Story
@laura_garcia shared a post, 9 months, 3 weeks 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..
Story
@laura_garcia shared a post, 9 months, 3 weeks 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..
Story
@viktoriia-yarosh shared a post, 9 months, 3 weeks 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..
Story
@laura_garcia shared a post, 9 months, 4 weeks 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..
Link
@faun shared a link, 9 months, 4 weeks 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
Link
@faun shared a link, 9 months, 4 weeks ago
FAUN.dev()
GitHub folds into Microsoft following CEO resignation — once independent programming site now part of 'CoreAI' team
GitHub just lost its autonomy. Microsoft is folding it into theCoreAIdivision, where it’ll now march in step with Redmond’s broader AI play. CEO Thomas Dohmke is out. No replacement named. Bigger picture:Why now? Copilot hit general availability, and GitHub’s becoming less a platform, more a provin.. read more
Link
@faun shared a link, 9 months, 4 weeks 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
Link
@faun shared a link, 9 months, 4 weeks 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
Link
@faun shared a link, 9 months, 4 weeks ago
FAUN.dev()
Faster Index I/O with NVMe SSDs
A search service (Marginalia Search) gutted its old index internals and dropped memory-mapped B-trees. In their place: adeterministic, block-aligned skip listtuned fordirect reads on NVMe SSDs. It runs on128KB block sizes, usescustom buffer pools, and leans hard onio_uringfor async position lookups.. read more
BigQuery is optimized for analytical workloads such as business intelligence, log analysis, data science, and machine learning. It supports real-time data ingestion via streaming, batch loading from cloud storage, and federated queries across external data sources like Cloud Storage, Bigtable, and Google Drive.
Query execution is distributed and highly parallel, enabling interactive performance even on petabyte-scale datasets. The platform integrates deeply with the Google Cloud ecosystem, including Looker for BI, Vertex AI for ML workflows, Dataflow for streaming pipelines, and BigQuery ML, which allows users to train and run machine learning models directly using SQL.
Built-in security features include fine-grained IAM controls, column- and row-level security, encryption by default, and audit logging. BigQuery follows a consumption-based pricing model, charging for storage and queries (on-demand or reserved capacity).
