Operations | Monitoring | ITSM | DevOps | Cloud

According to a new study, the hybrid work model reduces attrition by a third. As the pandemic shifted work to remote, with some companies going fully remote work for over two years, many organizations are looking to continue to allow hybrid work environments. In 2022, more than 90% of midsize companies plan to implement a hybrid work structure. One of our customers practices this model and is always interested to know what new features can enhance the digital experience of their distributed workforce.

Alerting has been a fundamental part of operations strategy for the past decade. An entire industry is built around delivering valuable, actionable alerts to engineers and customers as quickly as possible. We will explore what’s missing from your alerts and how Coralogix Flow Alerts solve a fundamental problem in the observability industry.

Serverless backends have different monitoring challenges when compared with traditional applications, mostly due to the distributed and proprietary nature of serverless. Making monitoring and debugging efficient for serverless requires a unique set of tools and techniques. In this article, we’ll discuss the challenges of debugging serverless backends and how to utilize third party tools to improve the monitoring process.

As companies evolve and grow, so do the number of applications, databases, devices, cloud locations, and users. Often, this comes from teams adding tools instead of replacing them. As security teams solve individual problems, this tool adoption leads to disorganization, digital chaos, data silos, and information overload. Even worse, it means organizations have no way to correlate data confidently. By centralizing log data, you can overcome the data silos that tool proliferation creates.

Debugging is a frequently performed task not just for general software developers but also for game developers. During a debugging process of a game, most issues can be identified by simulating a code walkthrough.

In the last 2 parts of this series around improving performance in your Django applications, we focused on database and code optimizations. In part 3, we will focus on ways to improve the frontend speed of our Django applications by using the following.