How sum_over_time Works in Prometheus
Understand how sum_over_time() aggregates metrics in Prometheus, handles gaps, and why step size and staleness can affect accuracy.
Updates and recent posts about Vertex AI.. Link
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@idjuric660 shared a post, 5 months, 1 week ago
Technical Content Writer, Mailtrap
I Compared 5 Best SMTP Providers for FinTech Companies: Which One Should You Use
Reliably sending critical and time-sensitive emails while staying compliant with international data regulation laws is key for any FinTech company out there. In this article, I’ll provide you with 5 SMTP providers for FinTech that will allow you to achieve all of the above, and more. To get you star..
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@idjuric660 shared a post, 5 months, 1 week ago
Technical Content Writer, Mailtrap
Which Email API Offers The Most Flexibility: In-Depth Comparison of Best Providers
Let’s face it: there is no email API that fits the needs of every team out there. However, a solid API will give you control of your sending process and allow you to fine-tune it according to your team’s requirements. In other words, an email API needs to be flexible. So, I’ll break down the email A..
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@eon01 shared a post, 5 months, 1 week ago
Founder, FAUN.dev
Most Kubernetes Autoscaling Setups Are Silently Broken: 10 Gotchas to Watch Out For
Kubernetes autoscaling is a powerful tool, but many setups fail silently due to misleading metrics, poor configurations, and other details. Here are 10 common pitfalls that can break your autoscaling—and how to avoid them.
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@anjali shared a link, 5 months, 1 week ago
Customer Marketing Manager, Last9
Use Telegraf Without the Prometheus Complexity
Collect metrics with Telegraf without running Prometheus. No scraping, no TSDB tuning, just clean, push-based telemetry to your backend.
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@laura_garcia shared a post, 5 months, 1 week ago
Software Developer, RELIANOID
🌐 DNS for Load Balancing
Looking for a simple, scalable way to distribute traffic across multiple servers? In our latest post, we explore howDNS-based load balancingworks, including: 📌 Techniques like Round Robin, Weighted, and Dynamic DNS 📌 Using DNS for failover and backup configurations 📌 Key benefits: performance, high ..
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@laura_garcia shared a post, 5 months, 1 week ago
Software Developer, RELIANOID
🛡️ Creating a DR Environment for RELIANOID Load Balancer Clusters in Azure
Is your load balancer cluster ready for a disaster recovery scenario? Our latest 3-minute read explains how to replicate RELIANOID Load Balancer nodes to Azure usingAzure Site Recovery, covering: ✅ Infrastructure & replication setup ✅ Manual license activation for DR ✅ Failover and failback strategi..
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@viktoriia-yarosh shared a post, 5 months, 1 week ago
Freshcode
How Clojure shapes teams and products. Part 2
Curious how Clojure shapes teams and products beyond the hype? Tune into episodes 5–10 of “Clojure in Product. Would you do it again?” to hear leaders from startups to enterprises share real stories on scaling, tackling complexity, and building sustainable, high-impact software with smaller, focused teams. Discover why Clojure isn’t just a language – it’s a game-changing approach to development. Listen now and see what thoughtful tech choices can do for your business!
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@laura_garcia shared a post, 5 months, 1 week ago
Software Developer, RELIANOID
🚨 Cyberattack on Qantas highlights growing threats to aviation
Up to 6 million customers affected via a third-party breach – allegedly linked to Scattered Spider, a group known for social engineering and supply chain attacks. 🔍 The lesson? The weakest link is often outside the organization. ✈️ At RELIANOID, we help airlines and critical services stay protected ..
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@faun shared a link, 5 months, 1 week ago
FAUN.dev()
10 Unspoken NestJS Secrets for Production at Scale
UnlockNestJSspeed by steering clear of full module preloads. This trick slashes cold start drags, cutting first request delays by up to10 seconds... read more
Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.
The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.
Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.
