Operations | Monitoring | ITSM | DevOps | Cloud

Logging is an important part of every software application. In addition to capturing user activity, well-structured logs can make it easier to debug problems should they occur. But if your application is split up across several different subsystems, collecting and analyzing disparate logs can be a real challenge. Picture this scenario: You work at a startup that uses a CMS managed by a few admins. You also have a standalone front-end application for users to communicate with your platform via an API.

With the demand to meet service level agreements (SLAs), any on-call SRE can tell you that incidents always happen at the wrong time. Things break when you least expect them to (on a date, about to beat a new level in a video game, pizza delivery just arrived, asleep at 3am). During these inopportune moments, you want to make sure it's easy to get the data you need, no matter which device is nearby.

The abundance and diversity of technologies we possess are among the most essential aspects of our rapidly progressing, modern society. From one of the most basic examples in our everyday lives, mobile phones, to the hot topic of Machine Learning and artificial intelligence, technology is constantly a part of everyday life, whether we know it or not.

I love clean and tidy codebases. I love them even more if I don’t have to manually spend hours doing it myself. The problem is not everyone shares the same love and passion for tidy codebases, especially when we’re pressed for time trying to get a new firmware build released. This is where automated formatting and linting tools come in.

As the world increasingly works, buys, and communicates through native mobile apps. In 2020 there were 218 billion new app installs globally, 13.4 billion from the US alone. The challenge, while iOS and Android applications make up significant portions of user traffic and business, engineering teams and monitoring tools are split between mobile app and backend developers; this creates siloed visibility on how changes to the app or backend components impact each other, and end user experience.

Today, I'm super excited to announce our new Performance and Error tracing features for all Playwright-based browser checks. One of our key initiatives is supporting you with deeper insights into what is causing issues in the web apps you monitor with Checkly. With this new set of features we give you actionable data for easy debugging; Collected automatically with no extra code needed. Of course, fixing bugs in Production is great, but catching bugs before they go live is even better!

Lisa Wolfe, product marketing director at ServiceNow, co-wrote this blog. The stream of global disruptions these past couple of years has not only put business continuity plans to the test, but has also tested the ability of organizations to simply survive. To operate at the “speed of a digital business” and to endure the next wave of unexpected change will require peripheral vision—the ability to help predict and fix issues before they impact employees or the business.

ML-enhanced endpoint protection can keep schools safe from cyberattacks. Here are three benefits district leaders will find when investing in this advanced technology. Long before the pandemic, K–12 cyberattacks were a serious concern. The shift to remote learning has only increased the danger.