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

Managing Alerts: Car Alarms and Smoke Alarms

Building and shipping an application is exciting, you watch your idea come alive and reach users. But once it’s out there, your real job begins: keeping it alive. An app in production isn’t just code running, it’s a living system. It needs monitoring to stay healthy and alerting to warn when something’s off. But there’s a catch: too few alerts, and you’ll miss real issues; too many, and you’ll drown in noise.

The Outage Anxiety Test: Can You Answer These 3 Questions In Under 10 Minutes?

On Oct. 20, the Internet woke up and seemingly chose violence. For more than 12 hours, Amazon Web Services (AWS) went down. From banking platforms to hospital communications to mobile ordering apps, digital services came to a screeching halt. The cause? Two programs are trying to write a DNS entry simultaneously, failing, and leaving the entry blank. Thus began the incredibly costly failure cascade.

Are You Missing the Easiest Azure Discount in Your Stack?

If you’re using Microsoft Defender for Cloud, you’re probably overpaying. There’s a commitment-based pricing model that can save you up to 22% annually. But Azure won’t recommend it, and third-party tools ignore it. This blog breaks down how Defender Commit Units (DCUs) work, why they’re a blind spot, and what you need to do about it.

Enterprise data centre security solutions: scaling securely for growth and resilience

Securing a data centre requires multiple layers of protection. Physical access controls, surveillance, and network safeguards reinforce one another to prevent disruption. As estates expand and workloads increase, those measures have to scale. If they don’t, gaps appear in both resilience and compliance. A data centre security solution must therefore protect infrastructure day to day while adapting to future requirements. Pulsant delivers this through an integrated framework.
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The Product Manager's Nightmare: Seeing Features Too Late

Sarah stared at her laptop screen in disbelief. The feature her team had been building for three weeks was finally deployed to staging, and it looked nothing like what she had envisioned. The user interface was cramped, the workflow felt clunky, and the color scheme clashed with their brand guidelines. "Can we change the button placement?" she asked during the demo. "That'll require refactoring the entire component structure," replied the lead developer. "It's probably a two-day task now." What should have been a simple adjustment had become a major undertaking.

Part 2: Building a Production-Grade Traffic Capture, Transform and Replay System

When developers try to build realistic mocks and automated tests from production network traffic, the real challenge isn’t just in the capturing—it’s in the data manipulation. Raw traffic is a chaotic sea of patterns, dynamic tokens, environment-specific secrets, and tangled dependencies that seem impossible to untangle by hand. Over my two decades of building these sytems, I learned that solving this problem requires more than brute-force parsing or ad hoc scripts.

Webinar Recap: 3 Cost Allocation Mistakes FinOps Teams Can Avoid

In a webinar hosted by CloudZero on Oct. 30, 2025, Larry Advey, Director of Cloud Platform and FinOps and a respected voice in the FinOps community, joined Umesh Rao to deliver a practical session on cloud cost allocation. The session, titled Three Allocation Mistakes Most FinOps Teams Make, unpacked hard-earned lessons and offered a guided tour of CloudZero’s new Dimension Studio.

AWS Fargate Alternatives: Comparing Serverless Container Options

Imagine you have an API service composed of multiple microservices. Traffic fluctuates — sometimes light, sometimes spiking. Without Fargate, you’d have to manage EC2 instances, autoscaling, patching, and more. With Fargate, you define each microservice as a task, setting the CPU/memory, container image, network rules, and AWS schedules, and then run them as needed. The result: faster deployment, lower ops overhead, and smooth scaling.

Automating your synthetic test infrastructure with Datadog Synthetic Monitoring and Terraform

Testing ecosystems contain massive amounts of data, including outlined test scenarios, prerequisite configurations, and the tests themselves. As a result, these ecosystems are prone to data sprawl. This makes it difficult to prevent configuration drift and quickly spin up new tests, especially at the frequency needed to support a fast-growing application. Teams can handle these challenges by treating their tests as part of their application infrastructure.