Operations | Monitoring | ITSM | DevOps | Cloud

By centralizing your mission-critical logs, metrics, traces, and events from all of your systems into one platform, Sumo Logic enables teams across development, security, and operations to operate from a single source of truth. While this unified approach is crucial for fast issue identification and minimizing downtime from infrastructure failures or security breaches, not everyone on your team needs access to every bit of data.

Observability isn’t about collecting more telemetry — it’s about making that telemetry data meaningful. Contextual observability transforms raw telemetry into actionable insights by enriching it with consistent tagging and metadata. Without context, telemetry data remains fragmented, troubleshooting slows, and aligning with business priorities is nearly impossible.

For many organizations, the first motivation to modernize their security data infrastructure is cost. And understandably so—data volumes are exploding, and the costs of storing and analyzing everything in a traditional SIEM can quickly become unsustainable. But in my experience, cost savings are just the entry point. The true value of optimizing security data goes much deeper.

Everyone in your organization needs logs to perform the critical functions of their job. Developers need them to debug their applications, security engineers need them to respond to incidents, and support engineers need them to help customers troubleshoot issues. These various use cases create general requirements for enriched log data, often including accessing insights from outside typical retention windows.

‍This is the third and final post in our "Data Intelligence in Security: The AI Pipeline Revolution" series. In Part 1, we explored why AI-powered security data pipelines have become essential for modern SOCs. Part 2 covered the critical capabilities to evaluate when selecting a solution. Today, we'll share implementation best practices and examine the business impact you can expect.

Cribl recently introduced Lakehouse, a powerful new feature within Cribl Lake that enables fast queries on the freshest data. But it’s so much more than just speedy searches. Lakehouse redefines how organizations collect, store, manage, and analyze telemetry data at scale, ensuring a future-proofed, cost-efficient, and flexible approach to data management.

Troubleshooting failed cron jobs without proper logging can be frustrating. Ubuntu cron logs record the execution of scheduled tasks, helping you identify what's working and what isn't. This guide covers what engineers need to know about Ubuntu cron logs – from finding them to analyzing their contents and setting up effective monitoring solutions.

Business process automation no longer sits on the sidelines. What was once an emerging technology is now the engine behind modern business operations. In fact, around 60% of companies already use automation tools in their workflows, according to Duke University. This is not just companies — developers are also contributing to this shift by adopting low-code, no-code, and digital process automation platforms. These new tools remove barriers that once slowed innovation.

There’s a problem in engineering culture that we don’t talk about enough: observability is an afterthought. It’s treated as tooling, not thinking. As a checkbox, not a habit. And that mindset gap creates real consequences: longer outages, frustrated teams and massive business costs. Atlassian’s Incident Management for High-Velocity Teams overview cites a 2014 study by Gartner, that the average cost of IT downtime is $5,600 per minute.