Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Crash reporting for gaming consoles is now Generally Available

TL;DR: Error monitoring and crash reporting for all major gaming consoles is now generally available (plus, the v1.1 of our Unreal Engine SDK). Already convinced? Jump to the ‘What’s In The Release?’ section. Over a decade ago, a customer hacked Sentry into their PlayStation 3 games. Fast forward to today, Sentry now supports thousands of game developers across web, mobile, and desktop. The missing piece? Consoles. Developers asked for it. We built it.

Why Observo AI and SentinelOne Are Building the Autonomous SOC Together

Today's announcement that Observo AI is joining SentinelOne isn't just about combining two companies. It's about accelerating a fundamental transformation in how security operations work—moving from reactive, manual processes to truly autonomous defense. The vision is bold: security operations that think, adapt, and respond faster than any human team could alone. But that future requires rethinking security data from the ground up.

Serverless Monitoring Made Simple: Challenges and Solutions with Atatus

Serverless computing has revolutionized the way applications are built and deployed by eliminating infrastructure management and enabling automatic scaling. However, the dynamic and distributed nature of serverless architectures presents unique monitoring challenges that can impact application performance and user experience.

How PHP Monitoring Handles Response Times?

Every millisecond matters when users interact with your PHP application. If a page lags or a request takes too long, most people will leave without a second thought. For DevOps teams, these slowdowns are frustrating because the root cause is rarely obvious. Developers are left combing through logs and traces, often realizing too late that poor response times are already hurting user trust and business outcomes. The pain point: slow PHP response times frustrate users and create hidden costs for teams.

Beyond Wearables: How Remote Patient Monitoring Shapes Care Delivery

The healthcare industry has entered an era where the boundaries between in-person visits and digital health interactions are becoming increasingly blurred. Remote Patient Monitoring (RPM) sits at the forefront of this transformation, enabling physicians to track, analyze, and respond to patient health data in real time. While wearables such as smartwatches laid the groundwork, RPM has moved beyond step counts and heart-rate alerts. It now serves as a critical pillar of value-based care, reshaping how medical professionals manage chronic conditions, enhance patient engagement, and improve clinical outcomes.

What Are Buckets in Elasticsearch? (Explained in 60 Seconds)

Overwhelmed by raw data? In this short video, we demonstrate how Elasticsearch utilizes buckets to group and organize data by time, value, region, or any other shared trait. Whether you're tracking error codes or hourly sales trends, buckets and nested aggregations help turn chaos into clarity. Additionally, discover how time-based bucketing enables you to spot patterns and zoom in on valuable insights quickly.

How to Transform Telemetry Data with the OpenTelemetry Transformation Language

This demonstration shows how to use the OpenTelemetry Transformation Language (OTTL) to transform, filter, and enrich telemetry in the OpenTelemetry Collector without changing application code. We walk through a sample Python application and OpenTelemetry configuration file, generate real traffic, and then analyze the results in Splunk Observability Cloud.

Empowering an MCP server with a telemetry pipeline

This blog was authored by Jason Bloomberg, Managing Director, Intellyx BV ‍ Observability depends upon telemetry – the data streaming from various applications, services, and systems that indicate their internal state in real-time. Various tools consume such telemetry to enable both operational and cybersecurity tasks.

How to Improve MariaDB Performance: Track Slow Queries with Logs and Metrics

Database latency rarely starts in your app layer because it’s almost always a query doing more work than it should. Metrics tell you when that happens, but slow-query logging tells you which statement did it and how. That’s gold for tracking down missing indexes, inefficient filters, or accidental full scans. Pair the logging with a some lightweight counter metrics, and you get both an early warning and a clear path to a fix.