Operations | Monitoring | ITSM | DevOps | Cloud

Most platform teams know friction is a problem. They also struggle to figure out exactly where that friction lives. Developers lose time in ways that rarely show up on a roadmap. In many organizations, creating a new service can require multiple approvals and several Slack threads. Spinning up infrastructure can mean filing a ticket and waiting days. Onboarding to a new codebase involves a scavenger hunt through stale Confluence pages. None of these feel like emergencies in isolation.

Accessing cloud infrastructure shouldn’t slow down product innovation. Yet for many engineering teams building AI-driven platforms, traditional hyperscalers often introduce unnecessary complexity, high costs, and slow provisioning cycles. At Civo, we’ve seen a different approach emerge. Our cloud platform enables teams to move faster with Kubernetes, compute, and networking designed for simplicity and speed.

Why do AI agents that look brilliant in a sandbox fail the moment they hit production? For platform leaders, the answer is a lack of environmental parity: the ability to interact with the exact data state and service topology where the actual bugs live. When an agent attempts to modify a schema, optimize a query, or reproduce a bug without access to the real-world data state, it hits the Data Context Gap.

Short Summary: Sometimes URL paths repeat by mistake because of tracking problems or redirect loops.. In this guide, you’ll learn how to find and count those repeats using Trino SQL. By using simple SQL tools like CTEs, arrays, and window functions, you can break a long link into smaller pieces and clean up the data without using complex regex.

Your WireMock stubs are lying to you. They were accurate when someone wrote them six months ago, but the payment API added a metadata field in January, the inventory service switched from REST to gRPC in February, and nobody updated the stubs because the tests still pass. Meanwhile, production is breaking in ways your mocks will never catch. This is not a WireMock problem. It is a hand-written mock problem.

Amazon Web Services (AWS) has been the leader in cloud computing for more than 10 years. Despite a decade of innovation, no AWS service encapsulates cloud computing principles better than Elastic Compute Cloud (EC2). Through EC2, AWS can offer flexible and scalable virtual infrastructure that can be ‘rented’ to run applications and workloads.

Over the past year, the term Internal Developer Platform has appeared everywhere in engineering discussions. At first glance, it might sound like another buzzword for a fancy dashboard. But the growing interest reflects a real shift in how organizations manage developer productivity and infrastructure. In this post, we will unpack Internal Developer Platforms (IDP), why they exist, what problem they solve, and whether it is worth considering adopting one.

On May 21, 2019, LinkedIn’s URL shortener went down. The certificate had expired. Millions of people cried out in terror when they couldn’t click on AI link bait. The interesting part: LinkedIn had renewed the certificate ten days earlier. The renewal succeeded. The certificate just never made it to the server. The renewed cert existed somewhere, but the server still served the old one. Most certificate automation is built to prevent the “I forgot to renew” problem.