Operations | Monitoring | ITSM | DevOps | Cloud

What do you do when an incident occurs, and you need to investigate and troubleshoot? Replay data. What about performing audit trails for compliance and reporting? Replay data. Need to do system testing and validation? Replay data. There are countless reasons to replay telemetry, but the ease of doing so largely depends on the tools and infrastructure you have in place. Manual replay is often cumbersome and time-consuming, requiring access to stored raw data in logs or files.

Imagine driving to work every day on the same route. You know how long it typically takes, where traffic tends to slow down, and which shortcuts can save you time. But one day, your commute takes twice as long, and you’re left wondering – was it an accident, construction, or just bad luck? Knowing what’s “normal” for your commute helps you immediately recognize when something’s off and figure out why. The same principle applies to your network.

The Digital Operational Resilience Act (DORA) is a European Union legislation designed to enhance the digital operational resilience of financial institutions and their critical third-party ICT (Information and Communication Technology) service providers. DORA has two primary objectives.

Managing OpenTelemetry (OTel) collectors across diverse, cloud-native environments is key to streamlining monitoring and gathering valuable insights. But, managing them effectively, especially across multiple servers, has been a manual and time-consuming process. That changes today. Sumo Logic’s Otel Remote Management is designed to simplify OpenTelemetry Collector management, all from a single unified user interface.

Session Replay for Mobile is now generally available. I could bombard you with hyperbolic statements about why Session Replay is worth using, but instead, A…I… wrote you a haiku: Screen freeze, devs all sigh. Replay uncovers the crime: Forgot.addListener.

Service-level objectives (SLOs) can be a great way to ensure you’re hitting your goals, but many software teams struggle to set realistic targets when they first set up the service-level indicators (SLIs) that underpin those efforts. Sometimes management has a decree that all services will operate with “three 9s” of availability; other times engineers pick a number out of thin air.

As your applications scale, so too does the flood of logs, metrics, profiles, and traces—along with the costs to store and manage them. Collecting everything might feel like the safest bet, but it often leaves you buried in noise and struggling to find the signals that matter, all while costs spiral out of control.

The margin for error is extremely low in a critical sector like manufacturing, where accuracy, efficiency, and time to delivery are indispensable. These aspects become even more crucial in pharmaceutical manufacturing, a critical sector that is always in high demand, especially following the COVID-19 pandemic. The responsibility now falls on contract development and manufacturing organizations (CDMOs) that partner with pharmaceutical and biotech companies.