The days of logging in to servers and manually viewing log files are over. SolarWinds® Papertrail™ aggregates logs from applications, devices, and platforms to a central location.
SolarWinds® Papertrail™ provides cloud-based log management that seamlessly aggregates logs from applications, servers, network devices, services, platforms, and much more.
SolarWinds® Papertrail™ provides lightning-fast search, live tail, flexible system groups, team-wide access, and integration with popular communications platforms like PagerDuty and Slack to help you quickly track down customer problems, debug app requests, or troubleshoot slow database queries.
While Kubernetes aims to streamline containerized application management, its multi-layered architecture creates potential points of failure. Problems in any of these layers can manifest as application crashes, resource overutilization, or failed deployments, making cluster maintenance a persistent challenge.
Last updated: September 2024 In a perfect world, there wouldn’t be any errors or bugs in production applications. However, we don’t live in a perfect world, and from experience, you know there is no such thing as a bug-free application. If you are using the Laravel framework, you can leverage its log tracking and error…
New reverse tail UI, API-based searches, and copy-paste permalinks Searching event data in SolarWinds® Observability just got easier. A new reverse tail display option lets you move the log search bar and change the scroll of the events from bottom to top. For SolarWinds Papertrail™ fans, moving the search bar and changing the scroll will make…
Node.js was introduced over 20 years ago and remains a popular choice for web application teams with over 30 million users. Sites such as Netflix, PayPal, and Uber continue to rely on Node.js to build and maintain their applications.
SolarWinds® Observability now brings more intelligence to issue identification to help you troubleshoot smarter and faster. When an entity alert is triggered, Log Patterns automates an AIOps / ML-based analysis of events surrounding the triggering event.
We are excited to unveil the next generation of SolarWinds® Papertrail™, SolarWinds Observability SaaS (formerly known as SolarWinds Observability) logging. More powerful and faster than ever, the next generation of Papertrail, SolarWinds Observability SaaS (formerly known as SolarWinds Observability) logging aggregates log data from applications, services, infrastructure, databases, and network devices across both cloud-based and…
Infrastructure is a complex and difficult concept for developers. When an issue occurs, where do you even begin to look? I’ve spent years of my life playing the “What looks like one but not like the other” game, wrestling with confirmation bias and hunting through haystacks of logs to find a clue to my hosted…
Serverless architectures such as AWS Lambda have created new challenges in debugging code. Without a solid logging framework in place, you could waste precious hours tracking down simple defects in your functions. A strategic logging framework can be a powerful way to track down and resolve bugs. Let’s walk through how to get the most…
Cloud platforms like Render have made developers’ lives easier by handling many of the underlying infrastructure concerns. You can deploy web services, spin up databases, and schedule cron jobs without ever setting up a server manually. However, this convenience comes with a challenge: Accessing logs across these disparate services takes time and effort.
DevOps engineers wishing to troubleshoot Kubernetes applications can turn to log messages to pinpoint the cause of errors and their impact on the rest of the cluster. When troubleshooting a running application, engineers need real-time access to logs generated across multiple components. Collecting live streaming log data lets engineers: Review container and pod activity Monitor…
Docker's power and versatility have cemented its place in developers' and administrators' toolkits. Along with this widespread adoption comes the critical need for effective logging in Docker containers. However, once you scale beyond a single container on a single machine, effectively capturing and working with logs from Docker presents a challenge. The native docker logs…
