Operations | Monitoring | ITSM | DevOps | Cloud

And why ephemeral preview environments are your best defense AI-powered code assistants like GitHub Copilot, Cursor, and Windsurf are revolutionizing how we build software. Developers are moving faster than ever — scaffolding features, generating functions, and completing workflows in seconds. But here’s the catch: AI code looks right. Until it’s not. It compiles. It passes linting. It even makes it through some basic tests. But when merged?

For startups that need fast, flexible, and realistic environments If you're a startup moving off Heroku in 2025, you’re not alone. What once felt like magic — git push, instant deploy, no infrastructure to manage — now feels expensive, restrictive, and increasingly disconnected from how modern teams work.

…and why it matters even more in the age of AI-generated code Software development is changing fast. Thanks to tools like GitHub Copilot, Cursor, and Windsurf, developers can now generate large chunks of code in seconds. Product velocity is exploding. Startups are shipping faster than ever before. But there’s a catch: More code ≠ better code.

Cloud computing has become the backbone of modern business operations, powering everything from day-to-day collaboration to large-scale digital transformation initiatives. As organizations deepen their reliance on cloud services, the financial stakes continue to grow. According to Gartner, global spending on public cloud services is projected to reach over $720 billion in 2025, a significant increase from nearly $600 billion in 2024.

The rapid growth in OpenStack installation and orchestration tools that we have seen in recent years has effectively established OpenStack as the world’s leading open source cloud platform. Projects like Sunbeam or Kolla Ansible, for example, are effectively transforming OpenStack into yet another user application.

Downtime refers to any period when your business operations are interrupted or unavailable due to technical issues. Whether it's caused by unscheduled downtime, like sudden system failures, or planned downtime for regular maintenance, it can significantly impact your business continuity. The effects of downtime can be severe, leading to financial losses, decreased productivity, and a damaged reputation.

At first glance, AWS Config seems like a no-brainer for tracking changes, catching misconfigurations, and proving compliance. But beneath the surface, Config pricing can get surprisingly intricate. Costs don’t just depend on the number of resources you monitor. They also hinge on how often those resources change, how many rules you evaluate, and how you manage historical data. In this guide, we’ll demystify AWS Config pricing.

Logs are a key part of building and running software, but managing them can get complicated fast. As your apps grow and generate logs from many sources, choosing the right tool to store, search, and analyze those logs becomes important. Graylog and Loki are two popular options, each with a different way of handling logs. In this blog, we’ll break down the main differences between Graylog and Loki, how they work, and which types of projects they suit best.

A CDN delivers your content around the world, making sure users get it quickly and reliably. When it slows down or goes offline, users notice right away. Good CDN monitoring gives your team the information needed to fix issues before they affect users. This guide explains the basics of CDN monitoring and shows practical ways to set it up.

"All language is but a poor translation." — Franz Kafka This quote by Franz Kafka reminds me of the time when I used to look at metrics from “Apache Kafka” topics trying to figure out what was causing the huge lags and manually deleting the messages in certain partitions to get rid of polluted messages. Yep, pretty lost in translation. I wasn’t aware of the power of observability for a Kafka producer-topic-consumer system.