Improve cost and operational efficiency with Autopilot Operating Model

Autopilot, a set of techniques originally created at Google, can be used to monitor and configure resources automatically to reduce cloud waste and maximize availability. Leveraging machine learning algorithms coupled with heuristics, Autopilot improves cost efficiency, availability, security & resilience of your multi-cloud, multi-K8s infrastructure.

In this free whitepaper, we explain how you can leverage the Autopilot Operating Model to easily

• Observe your operations, performance, and costs across your multiple cloud & Kubernetes environments

• Leverage machine intelligence to understand health and performance at a glance

• Surface opportunities to optimize your Kubernetes and VM workloads for availability and cost

• Automate improvements to cut cloud spend, improve operational efficiency, and reduce MTTR — tuned to your preferred level of control

CloudNatix helps largest Japanese consumer’s organization automate cloud optimization & cut costs

Co-op Tohoku is a business association of 7 co-op groups in the Tohoku region. It has 120 stores and 54 delivery depots, and it plays a vital role as life infrastructure by providing various services including store, delivery, and services (e.g., insurance).

The union was working on a transformation that actively adopts digital technology and accelerates their move to public cloud, and as part of this, Co-op Tohoku was migrating various systems including mission-critical business systems to Amazon Web Services (AWS). CloudNatix Platform helped Co-op Tohoku in visualizing cost and identifying automated optimization opportunities.

CloudNatix helps SOC Prime optimize Kubernetes spend

SOC Prime's operates the world's largest and most advanced platform for collective cyber defense enabling security teams to address the challenges of building context-enriched and threat-specific detections, organize and execute around strategic detection objectives, and manage the deployment of content at scale across 25+ SIEM, EDR, and XDR platforms.

“Being a tech-forward company, SOC Prime runs the significant part of their applications and services on Kubernetes,” says the Head of DevOps Eugene Samborskyi. As SOC Prime grows and delivers more products to its customers across different industry verticals and diverse levels of cybersecurity maturity, it becomes a priority to gain a more granular view of workloads to better manage efficiency, allocate resources, and forecast capacity.