How Wildlife Studios Freed Up 100s of Engineering Hours & Accelerated Troubleshooting with Logz.io

Wildlife Studios is Latin America’s largest gaming company, behind titles like Tennis Clash, Sniper 3D, and War Machines. With ~300 engineers across platform, backend, and game teams, the company depends on log management for troubleshooting, root cause analysis, and log consumption management.

In gaming, logs are the primary source of truth for what players experience in production. Crashes, latency, matchmaking issues, cheating attempts, payment errors, and gameplay bugs all surface in logs before they have a business impact, like churn, revenue loss, or community backlash.

A DIY Cluster That Became a Maintenance Burden

Before adopting Logz.io in 2020, Wildlife Studios ran an in-house Elasticsearch and Kibana stack, deployed separately per Kubernetes cluster. Over time this fragmented: different clusters ran different Elasticsearch and Kibana versions, with inconsistent configurations and settings across environments.

The result was high maintenance overhead, no standardization, and recurring reliability issues. Roughly once a month, engineers had to pause product work to troubleshoot and fix the logging infrastructure.

“Maintaining the logging infrastructure turned into a heavy operational burden. The SRE team was spending too much time keeping components up to date and firefighting issues.” Rafael Torres, SRE Manager at Wildlife Studios

The Solution: Logz.io Log Management and AI Agent Troubleshooting

Wildlife Studio chose Logz.io as their log management solution. After a simple and straightforward migration process, they began using Logz.io for log ingestion, storage, analysis, and AI-assisted investigation.

2TBs of Logs Per Day Ingested and Analyzed by Logz.io

Logz.io ingests and analyzes roughly 2TB of logs per day from Wildlife Studios, coming from more than 30 Kubernetes clusters, each mapped to its own sub-account. This gives the team a centralized, standardized logging layer across all environments.

Faster Incident Response with Agentic AI Troubleshooting

Wildlife uses the Logz.io AI agent as part of their incident response workflow. When an alert fires, engineers immediately inspect logs. The AI agent surfaces patterns, correlations, and anomalies across services and clusters.

In one incident, a Kubernetes cluster began experiencing control plane instability. The team struggled to identify the trigger. The AI agent flagged a sudden spike in logs coming from Kyverno and the Cert Manager, pointing directly to a misbehaving policy. That policy was blocking the startup of Pods from Cert Manager, causing repeated retries and excessive logging. This put pressure on the control plane and became the root cause of the incident, which the team was able to identify and fix quickly.

Visibility into Log Volume and Cost

Beyond troubleshooting, Wildlife Studios also uses Logz.io to manage and optimize log consumption. The team has a unified view of log volumes and costs across the organization, broken down by cluster, Kubernetes namespace, service, component, and labels. This makes it easy to spot excessive logging, understand which teams or systems are driving ingestion, and make informed decisions about what to log, retain, or sample.

A Reliable Solution Freeing Developer Time

Moving log management to Logz.io has fundamentally changed how Wildlife Studios operates its logging infrastructure. What was once a fragile, high-maintenance internal system became a reliable service for log troubleshooting and analysis.

Here are the main benefits Logz.io provided to the SRE team and the company as a whole:

• Hours of Developer Time Saved – Logz.io provides a reliable logging infrastructure, saving the team hours of engineering time over the course of each quarter. Developers no longer have to fix log management related issues every month and the SRE team can instead focus on higher-impact infrastructure work that directly supports game reliability and player experience. In addition, accelerated troubleshooting frees developer time to fixing issues and building rather than combing through endless logs.

“Logz.io gave us a strong and reliable service for log ingestion, log analysis, and AI-driven insights , without the operational burden and toil the SRE team used to carry. Today, we have a stable logging infrastructure and no longer spend hours and hours of engineering time maintaining it.” Rafael Torres, SRE Manager at Wildlife Studios

• Faster Incident Response and RCA –  Logz.io’s AI agent has significantly shortened the time it takes to understand what went wrong during incidents. Instead of manually correlating logs across services and clusters, engineers get immediate signals about unusual behavior: log spikes, pattern changes, and correlations between errors and dependent components, enabling them to respond and fix faster and with deeper insight.
• High Reliability – Logs are foundational to debugging, incident response, and operational visibility. By partnering with Logz.io, Wildlife ensures that this critical service is always available, performant, and trustworthy. Developers no longer worry about whether logs are delayed, incomplete, or inaccessible during incidents. They can simply rely on them.
• Strong Support for Internal Engineering Teams – With a reliable logging platform in place, more than 300 engineers across platform, backend, and game teams now use Logz.io as a first-class tool for analysis and troubleshooting. This reduces dependency on the SRE team for routine investigations and positions them as a professional team that delivers high quality services to their internal clients.
• Improved Cost Visibility and Optimization – Logz.io introduced financial and operational clarity around logging. The team now has a unified view of:
  • How many logs are ingested daily
  • Which clusters, namespaces, or components generate the most volume
  • Which logs are valuable and which are noise

This makes it possible to identify excessive logging, optimize ingestion, and control costs. The pricing and quota model also makes it easy to segment usage across internal teams, assign responsibility, and manage growth predictably instead of reactively.

• Strategic Focus Instead of Operational Firefighting – The SRE team can now focus on building better systems, rather than worrying about whether internal teams can access their logs.

Strong Support and Accessibility

One of the main reasons the team chose Logz.io was the quality of support. The experience working with the Logz.io team has been consistently positive: responsive, knowledgeable, and proactive. When issues arise or guidance is needed, the team can rely on Support or their Account Managers.

“We chose Logz.io primarily because of the quality of the support and how easy it was to adapt it to our existing workloads. The migration was straightforward, and we were able to start integrating and sending logs using our existing infrastructure components very quickly.” Rafael Torres, SRE Manager at Wildlife Studios

In addition, Logz.io is straightforward and intuitive to use. Engineers can search, filter, visualize, and correlate logs without a steep learning curve or heavy training investment. The result is faster adoption, broader usage across teams, and fewer barriers between engineers and the information they need.

Just as important, the official documentation is easy to follow and practical. Setup and configuration steps are well-documented, which reduces dependency on tribal knowledge or specialized individuals inside the organization.

Finally, Wildlife Studios noted that migrating from the in-house Elasticsearch and Kibana setup to Logz.io was smooth and predictable. Existing workloads and infrastructure components were easy to onboard, allowing the team to access and use the new platform immediately.

“I would definitely recommend Logz.io to anyone looking for a fast and reliable way to work with their logs, with strong analytics, a good AI agent, and without the burden of maintaining the logging infrastructure themselves.” Rafael Torres, SRE Manager at Wildlife Studios