Operations | Monitoring | ITSM | DevOps | Cloud

As Gartner predicts, AI will support up to 70% of performance monitoring and troubleshooting tasks in the next few years. The Logz.io AI Agent helps teams get ahead of this curve today. Too much time spent troubleshooting? You’re not alone. Manual investigation, jumping between dashboards, and piecing together scattered data are time-consuming and frustrating.

Does your SCOM environment run slow? Do you have too many unwanted alerts? Are you preparing for the upcoming upgrade? Don't worry. These issues are very common and frustrating, but thankfully also solvable.

Since the emergence of the cloud, the DevOps movement, and the rise of microservices, developers have been increasingly responsible for the operation of their software. “You build it, you run it” (YBYR) and “You build it, you operate it” (YBYO) have become common mantras in the software engineering industry. However, there’s a misunderstanding in this statement. Developers should remain focused on building software.

In this blog post, we’ll explore how to build a data pipeline using Kafka, Faust, and InfluxDB to effectively ingest, transform, and store data. We’ll start with an overview of Kafka, a high-performance messaging platform, and Faust, a Python library designed for stream processing, now maintained by the community as Faust-streaming.

In today’s multi-cloud landscape, maintaining smooth and reliable connectivity requires complete visibility into cloud networks. With Kentik, network and cloud engineers gain the tools to monitor, visualize, and optimize Azure traffic flows, from ExpressRoute circuits to application performance, ensuring efficient and proactive operations.

Having previously compared the top 5 Datadog alternatives and the top 5 alternatives to Honeybadger, this time we'll compare Sentry against five competing application performance monitoring (APM) tools, so that you can find the best choice for you. We'll compare Sentry to AppSignal first, then Honeybadger, Datadog, New Relic, and Scout.

Educational institutions are expanding their scope by adapting e-learning platforms and digital classrooms to their traditional classroom environment. This transition not only boosts productivity and efficiency but also opens the door for learning to take place from anywhere. However, the shift also brings new challenges, particularly in managing and monitoring the growing digital infrastructure to prevent outages.

As we soon enter 2025, I want to share a fundamental truth that has guided our strategy at Apica: the quality of your observability insights depends entirely on the quality of your data management. Many organizations need to establish proper data management practices before implementing observability solutions. This is akin to trying to navigate using an unreliable map—you might be moving quickly but in the wrong direction.