Operations | Monitoring | ITSM | DevOps | Cloud

Some log sources bundle multiple events into a single record before shipping them. This is common with VPC flow logs, CloudWatch exports, and certain Windows endpoint collectors. While this batching approach is efficient for transport, it creates challenges when you need to filter, search, or correlate individual events. When a log record contains an array of 47 events, your analytics tool sees one entry instead of 47 distinct records.

Ask a SaaS team how they measure cloud efficiency, and you’ll hear familiar things. Total cloud spend. Average cost per customer. Maybe a breakdown of spend by service. All useful, but rather wobbly. Now ask, “What does it cost you to serve one more customer?” That’s when the room goes quiet. And that’s often where cloud economics gets really wobbly. Because that number, your marginal cost, is what actually determines your margins. Not your total cloud bill.

Managing TLS certificates at scale is one of those operational tasks that starts simple and quickly grows into a sprawling problem. As organizations adopt microservices, multi-tenant architectures, and globally distributed load balancers, the number of domains and subdomains they support can expand dramatically. Each certificate then requires its own lifecycle management: Wildcard certificates offer a powerful solution to this growing complexity.

AI speeds delivery but expands risk. Teams need context, verification, behavior detection, and learning to stay secure by default. Software delivery has been accelerating for more than a decade, and the arrival of AI has pushed us into an entirely new velocity class. Code generation, configuration scaffolding, infrastructure suggestions, remediation hints, and deployment decisions now involve AI. It participates in every stage of the delivery pipeline. On the surface, this feels like progress.

November was another big month for Harness AI, with new capabilities that deepen our work with AWS, bring AI-native automation to the database, and keep our model stack on the cutting edge across the SDLC.

Unlock peak load balancing performance with HAProxy! In this blog post, we'll explore how HAProxy intelligently harnesses the power of modern multi-core CPUs while navigating challenging architectural complexities like NUMA. Discover how HAProxy leverages optimized multithreading and provides automatic CPU binding to deliver both unparalleled efficiency and speed, ensuring your load balancing is faster than ever.

On December 4th, 2025, we discovered an issue where the person shown as on-call on the dashboard didn’t match who was scheduled in the calendar. When we started investigating, we learnt that this only affected schedules with weekly rotations or weekly layers combined with custom timings.

In the era of cloud-native architectures, Site Reliability Engineering (SRE) has matured from a discipline focused purely on uptime to a sophisticated practice of efficient reliability. The key driver for this evolution is an undeniable truth: cloud spend has become intrinsically linked to system stability.