AWS CloudTrail now includes a Data event coverage page in the AWS CloudTrail console, giving you a single view of how well your resources are covered by data event logging. CloudTrail records API activity across your AWS account for security auditing, compliance, and operational troubleshooting. Management events, the control-plane actions such as creating a bucket [...]

Learn how AWS CloudTrail, Amazon CloudWatch, and Amazon GuardDuty help organizations monitor cloud activity, detect suspicious behavior, and respond to potential security threats. This beginner-friendly guide explores their individual roles, how they complement each other, and how to build a stronger security monitoring strategy on AWS.

Paste one log line or record — nginx, syslog, Windows event XML, CloudTrail, Entra ID, CrowdStrike, CEF, PAN-OS — and see what every field means, with codes, times and addresses decoded. Runs in your browser.

AWS CloudTrail now offers a Data Event Coverage page that provides visibility into data-plane logging gaps across resources and accounts, enabling organizations to identify and remediate compliance risks.

Build an AWS tag compliance agent: find untagged resources via AWS Config, infer owners from CloudTrail and Terraform state, and fix cost allocation tags by PR.

A quick look at how CloudTrail records account activity and helps with security and compliance in the cloud.

Build an AWS tag compliance agent: find untagged resources via AWS Config, infer owners from CloudTrail and Terraform state, and fix cost allocation tags by PR.

AWS DevOps Agent investigates incidents, traces problems from code to cloud, and analyzes Amazon CloudWatch, AWS CloudTrail, and third-party observability tools out of the box. But every operations team carries knowledge the agent cannot reach through generic reasoning: the order you check things in when, for example, an Amazon Elastic Container Service (ECS) task won’t [...]

What if your AWS infrastructure could predict failures before they happen? Explore how Amazon CloudWatch, AWS CloudTrail, AWS Config, and Amazon Bedrock could work together to detect risks, predict infrastructure failures, recommend preventive actions, and enable intelligent recovery. Discover the future of AI-powered cloud operations, where systems move beyond monitoring and become proactive, resilient, and intelligent. **Don't just monitor your cloud. Make your cloud think ahead.

Explore how AWS services work together to build an automated cloud security pipeline. This article covers threat detection, event-driven automation, incident response, and security best practices using Amazon GuardDuty, AWS Lambda, EventBridge, CloudTrail, SNS, and Security Hub.

Como tirar a senha do banco de dentro do código e da máquina, deixá-la cifrada, auditável e rotacionável — e provar que funciona, com uma aplicação real rodando na AWS.

Learn how AWS cross-account access works and why it can be challenging to configure securely. This article explains IAM roles, trust and permission policies, role chaining, and common access issues, with a practical example and best practices for using temporary credentials and least-privilege permissions.

As a software engineer, I’m exploring how AWS can help build scalable, secure, and reliable applications. Here’s why cloud skills matter for developers and how I’m working toward expanding my knowledge of AWS.

Learn how Amazon CloudWatch helps monitor AWS resources, analyze logs, create alarms, and build dashboards. Explore its core concepts, practical examples, and how it helps DevOps engineers maintain reliable cloud applications.

Explore how AWS security services can help cryptocurrency exchanges and blockchain platforms prevent, detect, and respond to cyberattacks. Learn from major industry incidents involving Binance and other exchanges, and discover practical strategies using GuardDuty, CloudTrail, WAF, KMS, CloudHSM, and Security Hub to protect digital assets and critical infrastructure.

IFParse v2.0: models still can’t turn a log line into exact JSON We released IFParse v2.0, a benchmark where a model gets a raw machine record (nginx line, syslog, CloudTrail, k8s audit event, Zeek conn row, CEF, Sysmon XML, PostgreSQL csvlog, raw HTTP request) and has to turn it into exactly one JSON object. Right types, right nulls, right timestamps, no extra keys, no prose. Scoring is all or nothing: 95% of the fields right is still 0, because one bad field is a corrupted event in a real pipeline. We ran three small Qwen models over 1,800 tasks. The headline: formatting is basically solved, exactness isn’t. The 1.5B model produces valid JSON 85% of the time, but perfect outputs are 3.7% at 7B, 3.3% at 3B, and 0% at 1.5B. So we looked at every single wrong field to see what actually breaks. Three things stood out. Structure errors dominate: about 45% of the 7B’s mistakes are missing or extra keys, usually the model just dropping a key that should be null. Timestamps are real but secondary, mostly half-hour offsets like +0530 quietly disappearing. And booleans fail in both directions: it won’t turn CloudTrail’s string “true” into a real true, but it will over-convert an HTTP value that legitimately is the string “true”. We’re not saying models are dumb. We’re saying exact normalization is a real, unsolved capability, and it fails in predictable, measurable patterns. That’s the whole point. A few things we’d love your take on: is all-or-nothing the right call, or would a tiered score help adoption without hiding the failures that matter? What formats are missing? journald, plain Windows Event Log, CloudTrail data events, OpenTelemetry spans, Envoy or HAProxy logs, DNS zone transfers. And the honest one: what would make you not use this? Wrong null semantics, wrong formats, too brutal, missing tooling, say it plainly. If you’ve run a bigger model on it, we’d love the numbers and will credit you. Dataset: Muse-research/Ifparse-v2.0 · Datasets at Hugging Face

Confused between Amazon CloudWatch and AWS CloudTrail? Learn the difference through a real-world online shopping application. Discover how CloudWatch monitors application performance, metrics, logs, and alarms, while CloudTrail records AWS account activity and API calls. Includes practical examples, a comparison table, and guidance on when to use each service.

Explore how to investigate a hypothetical cloud security incident on AWS using CloudTrail, Amazon GuardDuty, and Amazon CloudWatch. Learn how to identify suspicious activity, investigate potential unauthorized access, contain threats, and strengthen cloud security through a practical, beginner-friendly workflow.

AWS DevOps Agent traces failures across Terraform state boundaries by correlating alarms, mapping dependencies, and analyzing CloudTrail to identify root causes that span multiple infrastructure stacks.