Operations | Monitoring | ITSM | DevOps | Cloud

Quantitative risk assessment offers an objective approach to risk analysis – but understanding the risk is only the first step. This article will break down how to interpret the results and translate those insights into meaningful decisions in a real-world environment.

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.

InfluxDB 3 Core is an open source, high-speed, recent-data engine; InfluxDB 3 Enterprise adds performance, high availability, security, and scalability for mission-critical workloads Built-in Python Processing Engine brings collection, transformation, monitoring, alerting, and automation on time series data.

After months of development, testing, and community feedback, we’re excited to announce the general availability (GA) release of InfluxDB 3 Core and InfluxDB 3 Enterprise. This release brings us closer to our vision for InfluxDB: a time series database that helps developers solve the problem of collecting, analyzing, monitoring, and acting on data across sensors, networks, servers, and applications. We view time series as a way to analyze, monitor, and act on data through time.

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.

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.

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.

Serverless computing is a modern cloud-based application architecture in which the application’s infrastructure and support services layer are completely abstracted from the software layer. While every application still relies on physical servers to run, serverless applications shift that responsibility to cloud service providers like Amazon Web Services (AWS).