Operations | Monitoring | ITSM | DevOps | Cloud

Minga cut infra costs 30-40% - and it scales itself | Control Plane

Minga checks in 1.5 million students across the eastern seaboard by 8:30 AM Eastern — then lets that infrastructure wind down an hour later. After migrating to Control Plane, they cut infrastructure costs 30–40% and traded fragile, manual scaling for a platform that scales itself.

How LivePerson optimized Logstash and Kafka performance on GCP through benchmarking

By benchmarking five GCP machine types across both Logstash and Kafka, LivePerson's observability team found that infrastructure selection (not just pipeline configuration) is one of the highest-leverage cost optimization decisions at scale.

How Airbnb Built a High-Volume Metrics Pipeline with OpenTelemetry and vmagent

We always knew that Airbnb’s engineering is operating on a completely different scale, and their new high-volume metrics pipeline is proof of that. This is one of those rare stories where scale and efficiency go hand in hand - they modernized their observability stack with open source components and reduced cost by an order of magnitude. Airbnb is now processing more than 100 million samples per second on a single production cluster.

How Criteo handles 23M requests per second (RPS) with HAProxy Runtime API automation

Criteo handles 23 million requests per second (RPS) while maintaining peak performance and minimizing downtime. For most organizations, handling that level of traffic is just a theoretical stress test — a what-if scenario should their infrastructure ever be overwhelmed by an unexpected wave of requests. But for Criteo, 23 million RPS is just another Tuesday.

How Kotak811 Revolutionized Digital Banking Observability with Coralogix

Kotak811, the digital-first engine of Kotak Mahindra Bank, is a banking platform serving over 23 million users across India. Since its launch in 2017, Kotak811 has transformed into the bank’s primary growth driver, now accounting for 70% of all new customer acquisitions. The platform is widely recognized for offering a paperless, mobile-first experience, providing everything from instant zero-balance accounts to seamless UPI payments and investment tools.

How PayPal hyperscaled Kubernetes routing with HAProxy Fusion

PayPal runs six data centers, each with around 60,000 containers. Their 30,000 employees spin up nearly 10,000 test environments every day — roughly 6 to 10 every minute. Each environment requires three config updates: one to create the virtual service, and additional calls to configure and deploy the applications. Do the math and you get a staggering 30,000 config updates per day.

SAS Enhances Security and Compliance with the JFrog Platform

This video features Brett Smith, a distinguished software developer at SAS Institute, discussing how the company secures its software production pipelines for its flagship AI and machine learning platform, SAS Viya 4. SAS initially utilized JFrog Artifactory for managing Java-based Maven and Ivy artifacts. To address the increasing need for robust security and compliance with global regulations, the company expanded its partnership with JFrog by integrating additional security tools to protect their delivery pipelines.

Why This Fortune 500 Chose Agentic AI Over Traditional AIOps

What does real enterprise-ready Agentic AI look like in production? In this video, we break down how a Fortune 500 enterprise used Fabrix.ai’s Agentic AI platform to detect, diagnose, and resolve a critical application issue in just 5 minutes—without moving their data or replacing existing tools. If you're exploring Agentic AI, AIOps, or enterprise automation, this is a must-watch.

Global Industrial Leader Coordinates Severity 1 Incidents with Clarity and Speed

“The first 15 minutes of a Sev-1 incident often determine the next 15 hours.” For a multi-billion dollar global industrial leader, managing Severity 1 incidents across a complex, distributed infrastructure is a high-stakes operation. When systems go down, the impact is felt instantly across production lines and global logistics.

How Techdome accelerates AI-led product delivery with Civo Kubernetes

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.