Operations | Monitoring | ITSM | DevOps | Cloud

Have you ever asked an AI model a question and received an outdated or completely off-base response? I’ve been there too. The problem is that most AI models rely solely on their pre-trained knowledge, which becomes obsolete over time. This is where RAG can help: RAG is a hybrid AI technique that combines the advantages of retrieval systems and generative models. It bridges the gap by bringing in real-time information from external knowledge sources to improve the generation quality.

As part of Atlassian’s ongoing investment in security, we’re excited to introduce token rotation for access tokens in Bitbucket Cloud. Building on recent updates, like adding expiration dates to access tokens, this new capability allows you to rotate your tokens, which generates a new secret while maintaining the same access and scopes.

The Model Context Protocol (MCP) is rapidly becoming the connective tissue for agentic AI systems and IDE tooling. Whether you’re building a dev tool that integrates with LLMs or enabling a context-aware API backend, standing up an MCP server is a rite of passage. But MCP is still in its early days and there are some sharp edges. Here are four practical shortcuts to fast-track your MCP server development so you can skip the boilerplate and get to the good stuff: intelligent tooling.

Amazon Web Services (AWS) is still the largest cloud service provider today. With over 240 cloud products, this Amazon.com subsidiary offers cloud, on-premises, serverless, and edge computing services. But bigger isn’t always better, and we’ll share why, plus explore the top AWS alternatives to consider if you’re thinking about making a switch.

Keeping your Postgres databases healthy is non-negotiable if you care about application performance and reliability. But monitoring Postgres the right way? That’s where things get tricky. Between the sheer volume of metrics and the noise that comes with them, it’s not always obvious what to pay attention to—or when. This guide breaks things down with a focus on what matters in real-world production setups.

Managing multiple systems that each generate their alerts and logs can quickly become overwhelming. The challenge of scattered logs is a real headache, especially in the fast-paced world of DevOps. Log consolidation is not just a convenience—it's an essential practice that can save you from chaos and improve your operational efficiency. This guide covers everything you need to know about log consolidation, from understanding what it is and why it matters, to practical steps for making it work.

At Google Cloud Next, one statement particularly caught the attention of innovators and cybersecurity professionals alike: Google’s introduction of Agent 2 Agent (A2A) marks a major evolution in AI architecture. It enables autonomous agents to collaborate across services, platforms, and domains—unlocking powerful use cases across virtually every industry.