Micro Lesson: Universal Connector
This video covers Sumo Logic’s new capability, Universal Connector and shows how to set up the source configuration.
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Elastic vs Sumo Logic: Build vs buy the right logging platform
When it comes to logging tools, organizations often face a classic tech dilemma: build vs. buy. Should you invest in a robust, ready-to-use SaaS solution like Sumo Logic or dive into the customization rabbit hole with a PaaS option like Elastic? It's a debate as old as time—well, as old as software, anyway. Let's break it down in a way that actually makes sense, and hopefully, it’ll spark less drama than the pineapple-on-pizza debate.
Break down barriers to log collection with Sumo Logic's Universal Connector
Today’s dynamic multi-cloud ecosystems receive logs from countless sources. Relying on custom collectors and integrations can lead to tool sprawl, pipeline breakdowns, and time-consuming maintenance. Enter Sumo Logic’s Universal Connector, your streamlined solution for collecting logs from any source. With seamless API integrations, Universal Connector simplifies log collection and eliminates the overhead of building custom pipelines.
About us - Sumo Logic
A log on its own is pretty simple, but they're rarely alone. Your digital applications, infrastructure and AI keep adding another, and another, and another… For some teams, this exponential data is overwhelming, causing friction, bottlenecks, and even tuning it all out. But at Sumo Logic, we’re FUELED by the atomic level of logs. The Sumo Logic Log Analytics Platform ingests each and every bit of this structured and unstructured “data exhaust,” transforming it into critical fuel for context-driven insights into your performance, availability, security status, and threats.
Designing Sumo Logic Mo Copilot for success
I’ve been quite open about the many ways AI-driven projects can go wrong. With so many ways to fail, what makes Sumo Logic Mo Copilot set up for success? Let’s discuss each of these points in detail.
The future is now, introducing Dynamic Observability from AI innovations built on logs
A year ago, I shared my thoughts at re:Invent, explaining why I joined Sumo Logic as CEO and laid out the importance of logs as a key differentiator. A year later, the atomic level of logs is even more paramount. It’s not just because Sumo Logic is years ahead in technology when it comes to ingesting and analyzing structured and unstructured logs.
Get full visibility with Sumo Logic's Generative Context Engine
Achieve comprehensive visibility with Sumo Logic’s Generative Context Engine, powered by generative AI. Fix issues faster, achieve observability without instrumentation, and cut down on burnout while improving the developer experience.
Streamline insights into action with Sumo Logic Mo Copilot
You don’t have to fly alone on your journey from insights to action with Sumo Logic Mo Copilot. Use AI to simplify analytics using natural language, speed up root cause analysis, and stop the turbulence of investigation and troubleshooting.
Control and predict costs with Scan Budgets
Managing costs without sacrificing insights is essential for today’s data-driven teams. With Sumo Logic’s Scan Budgets, your organization can better control and predict costs by setting budget boundaries that align with the value of your insights. Get visibility into which queries and dashboards deliver the greatest impact for your business, so you can invest in the insights that matter most while also managing costs when setting up new searches or monitors.
Adding AI to Observability 2.0 for Dynamic Observability
The original premise of observability was to ensure system health, identify issues, and resolve those issues efficiently. As I recently outlined, the legacy approach (sometimes called Observability 1.0 now) relied heavily on metrics and tracing because logs were seen as too noisy or challenging. But, as most forward thinkers have identified now, logs are exactly the telemetry type that we need the most.