Developing scalable and reliable applications is a serious business. It requires precision, accuracy, effective teamwork, and convenient tooling. During the software construction phase, developers employ numerous techniques to debug and resolve issues within their programs. One of these techniques is to leverage monitoring and logging libraries to discover how the application behaves in edge cases or under load.
There are multiple phases in the software development process that need to be completed before the software can be released into production. Those phases, which are typically iterative, are part of what we call the software development life cycle, or SDLC. During this cycle, developers and software analysts also aim to satisfy nonfunctional requirements like reliability, maintainability, and performance.
LogDNA Alerts are an important vehicle for relaying critical real-time pieces of log data within developer and SRE workflows. From Slack to PagerDuty, these Alert integrations help users understand if something unexpected is happening or simply if their logs need attention. This allows for shorter MTTD (mean time to detection) and improved productivity.
LogDNA Alerts are a key feature for developers and SREs to stay on top of their systems and applications, as it notifies them of important changes in their log data. However, with so many different workflows to account for, it was important to enable a flexible solution that could connect to any team’s toolkit.
Modern web applications are more reliant on the frontend than ever before. While there are many benefits to this approach, one downside is that developers can lose visibility into issues when things go wrong. When the application experience is degraded, engineers are left waiting for users to report issues and share browser logs. Otherwise, they might be left in the dark and unaware that any issues exist in the first place.
The LogDNA platform improves how teams use logs to help with debugging and troubleshooting. However, having fast access to actionable data isn’t the only value you can get from logs. There’s a lot of additional value in analyzing historical log data to understand long term trends. For example, customers can use log data as a way to represent audit events for user actions and benefit from visualizing them in a 3rd party software.
We set out with a plan this year to nurture and grow our developer ecosystem. In 2020, we launched our Template Library to empower joint users of LogDNA and our partners to have an out-of-the-box logging experience from every layer of their stack. As the use of these templates has grown, users have told us that they save them time from manually creating Views, Boards, and Screens, and helps them gain insight from their logs much quicker.
