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@anjali shared a link, 8 months, 4 weeks ago
Customer Marketing Manager, Last9

APM Logs: How to Get Started for Faster Debugging

Understand how APM logs connect metrics, traces, and events to speed up debugging and uncover root causes faster.

Prometheus_resource_attributes
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@anjali shared a link, 8 months, 4 weeks ago
Customer Marketing Manager, Last9

OpenTelemetry API vs SDK: Understanding the Architecture

Understand how the OpenTelemetry API and SDK work together, clean instrumentation in code, and flexible data processing in configuration.

Otel_injector
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@anjali shared a link, 8 months, 4 weeks ago
Customer Marketing Manager, Last9

What is Database Monitoring

Database monitoring tracks performance, health, and availability, helping detect issues early and maintain optimal operations.

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@laura_garcia shared a post, 8 months, 4 weeks ago
Software Developer, RELIANOID

🔒 Incident Response in 2025: Lessons Learned

June–August 2025 brought a surge in high-profile cyber incidents—from UNFI’s food supply disruption and Qantas’ customer data breach to sector-wide attacks on insurers. At the same time, AI-powered detection and new resilience features showed how fast response capabilities are evolving. At RELIANOID..

Incident Response june, july, august 2025
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@idjuric660 shared a post, 8 months, 4 weeks ago
Technical Content Writer, Mailtrap

Send Emails with Windsurf and Mailtrap

Node.js Mailtrap.io

Learn how to seamlessly integrate Mailtrap with Windsurf to send transactional emails using simple AI prompts.

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@laura_garcia shared a post, 8 months, 4 weeks ago
Software Developer, RELIANOID

Japan Ushers in a New Era of Cybersecurity with the Active Cyberdefence Law

Japan has taken a bold step in reshaping its national cybersecurity posture with the new Active Cyberdefence Law (ACD) — a proactive response to the growing wave of cyber threats affecting critical infrastructure, airlines, and financial institutions. 🚨 Key highlights of the ACD Law: Legal authority..

Japan's Active Cyberdefence Law
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@laura_garcia shared a post, 9 months ago
Software Developer, RELIANOID

🚀 Introduction to NFV

Network Functions Virtualization (NFV) is transforming networking by moving critical functions like firewalls, routers, and load balancers from specialized hardware into software running on standard servers. This shift brings flexibility, scalability, and cost efficiency, enabling organizations to a..

kb NFV Network functions virtualization
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@laura_garcia shared a post, 9 months ago
Software Developer, RELIANOID

🌐 ISO/IEC 27001 Compliance Alignment at RELIANOID

At RELIANOID, security isn’t just a feature—it’s part of our foundation. Both our organization and load balancing platform are strongly aligned with the ISO/IEC 27001:2022 ISMS framework and its Annex A controls. This means our clients in finance, healthcare, public sector, and enterprise environmen..

iso27001 image ssnn
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@idjuric660 shared a post, 9 months ago
Technical Content Writer, Mailtrap

I Tested 6 Postmark Alternatives: Here’s What I Found

Let’s not kid ourselves, Postmark is a great email service inalmostevery regard. However, if you’re reading this, the chances are that it doesn’t fit your needs anymore, and you’d like to switch it up a little bit. Luckily, you’ve come to the right place! I’ve interviewed our very own deliverability..

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@faun shared a link, 9 months ago
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Database Sharding in 1 diagram and 204 words

Sharding breaks a heavyweight database into bite-sized chunks spread across servers. That means better scalability, less strain on any one node. The key? Picking the right shard key. Get that wrong, and you’re in cross-shard query hell. Modulo, range, and consistent hashing each slice the pie diff.. read more  

Database Sharding in 1 diagram and 204 words
GPT (Generative Pre-trained Transformer) is a deep learning model developed by OpenAI that has been pre-trained on massive amounts of text data using unsupervised learning techniques. GPT is designed to generate human-like text in response to prompts, and it is capable of performing a variety of natural language processing tasks, including language translation, summarization, and question-answering. The model is based on the transformer architecture, which allows it to handle long-range dependencies and generate coherent, fluent text. GPT has been used in a wide range of applications, including chatbots, language translation, and content generation.

GPT is a family of language models that have been trained on large amounts of text data using a technique called unsupervised learning. The model is pre-trained on a diverse range of text sources, including books, articles, and web pages, which allows it to capture a broad range of language patterns and styles. Once trained, GPT can be fine-tuned on specific tasks, such as language translation or question-answering, by providing it with task-specific data.

One of the key features of GPT is its ability to generate coherent and fluent text that is indistinguishable from human-generated text. This is achieved by training the model to predict the next word in a sentence given the previous words. GPT also uses a technique called attention, which allows it to focus on relevant parts of the input text when generating a response.

GPT has become increasingly popular in recent years, particularly in the field of natural language processing. The model has been used in a wide range of applications, including chatbots, content generation, and language translation. GPT has also been used to create AI-generated stories, poetry, and even music.