Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Correlation ID vs Trace ID: Understanding the Key Differences

You’re staring at logs, trying to figure out what caused that odd error in the middle of the night. Or maybe you're following a chain of requests across services, hoping to understand how one user action triggered a series of unexpected behaviors. That’s where distributed tracing and request tracking—specifically, correlation IDs and trace IDs—are invaluable. It’s the kind of detail that can make debugging faster and less painful.

Pager fatigue: Making the invisible work visible

As much as you try to prevent it, your product will break sometimes. While you hope it would have the decency to do so while you are awake and already working, sometimes the product is inconsiderate and decides to break outside your office hours. Being woken up from a page at 3 am sucks, and being woken up again two hours later (when you get pinged for a follow-up issue you missed the first time) sucks even more.

JFrog's Journey with AWS Graviton

Every business strives to optimize operational costs and efficiency. In the DevOps world, where cloud-scale operations are the norm, this becomes even more critical. At JFrog, while delivering a robust and highly scalable SaaS solution to our customers, we are equally focused on optimizing operational costs and maximizing infrastructure efficiency.

Tracking Azure Elastic Jobs using Redgate Monitor

Redgate Monitor has long helped data teams and DBAs keep track of SQL Agent Jobs. Now, with version 14.0.53, it extends that visibility to Azure Elastic Jobs, giving you a centralized view of all your scheduled tasks, whether they run on SQL Server, Azure SQL Managed Instances, or Azure SQL Databases.

CloudTrail Pricing Guide: Save On AWS Logging

Logging and auditing activity across your AWS environment is a must for security, governance, and compliance. Yet, between management events, data events, and optional insights, it’s easy to overspend on tracking activity without realizing it. In this guide, we’ll break down CloudTrail pricing in plain terms and see what impacts your final bill. We’ll also share immediately actionable ways to keep your CloudTrail costs in check without sacrificing full observability.

Why are AI Agents Superior to LLM #speedscale #apitesting #mocks #ai #agents #llm #developers

Matt LeRay explains the key difference: AI agents can perform multi-step processes to solve complex software tasks, unlike simple LLMs that mainly answer questions. Discover how agents go beyond chat to: What are your thoughts on AI agents in software development? Let us know in the comments below!

Optimizing IoT and edge with Ubuntu: secure, simplify, scale

From IoT to edge computing, Ubuntu helps you secure, simplify, and scale device deployments with confidence. In this session, Gabriel Aguiar Noury (Product Manager) and Tabish Khan (Sales Director IoT) from Canonical explore how Ubuntu streamlines the deployment, management, and maintenance of embedded systems, without compromising on reliability or security. Whether you’re building next-gen hardware or optimizing existing infrastructure, this talk offers practical insights and tools to help you succeed.

The Cloud Has Made Us Reckless! It's Time to Reclaim Control

Tim Banks takes the stage at Civo Navigate San Francisco 2025 to explore the unintended consequences of cloud adoption. From runaway AWS bills to vendor lock-in and lost operational skills, Tim offers a thought-provoking look at how convenience in the cloud has come at a cost to resilience, privacy, and sustainability.

How does observability enhance operations in cloud native voice networks?

The 17th century saw the onset of the Scientific Revolution. It was a time of knowledge explosion. During this time, scientific practices were still evolving, with no universally accepted protocols for data collection and analysis. Individuals documented any observation, resulting in the collection of massive amounts of information, but much of it was hard to leverage to draw useful conclusions. The development of the scientific method provided a common approach to capturing and analyzing data.

[Webinar] Drift Happens! 3 Kubernetes Drift Scenarios & How to Overcome Them

Many organizations don’t realize the impact of Kubernetes drift until they’re managing multiple clusters and face skyrocketing costs, delayed fixes, and downtime. Drift can lead to inefficiencies and even critical security risks. That’s why it’s crucial to understand and proactively address drift at scale.