Operations | Monitoring | ITSM | DevOps | Cloud

DevOps teams play a crucial role in ensuring the continuous delivery of software applications. One of the key pillars of DevOps success is implementing effective monitoring and alerting strategies. In this blog post, we will explore the importance of monitoring and alerting in DevOps, discuss best practices, and provide insights into building a robust monitoring ecosystem.

Turning logs into metrics isn’t a new concept. A version of this functionality is implemented in most agents, visualization tools, and backends. It’s everywhere because converting logs to metrics has many practical applications and is one of the fundamental mechanisms for controlling log volume in a telemetry pipeline. In this post, I’ll briefly overview log-based metrics, explain why they matter, and provide examples of how to build them using OpenTelemetry and BindPlane OP.

You’re 24 hours away from the next quarter. Have you achieved everything in this one that you wanted to? Got a last-minute deal you need to get over the line? That’s ok, your favorite customer is just a quick video call away from signing on the dotted line – that’ll help you hit your target. Be a real problem if the call kept dropping out though – especially if they asked to reschedule. Oh, no, suddenly, your Teams is acting up!

In order to grow your organization effectively, you need to ensure the scalability of your systems. In a broad, distributed architecture, critical processes like incident triage, security response, and large-scale configuration changes can be difficult to execute without a programmatically accessible registry of what’s running in production and who owns it.

Telemetry data is growing exponentially, but the business value isn’t increasing at a similar pace. Getting the right telemetry data is hard, so I recently had a conversation with Matt Aslett, Director of Research at Ventana Research, now a part of ISG, about five myths and realities in telemetry data handling.

These days, everything can be tracked: transportation, deliveries, food orders. . . For consumers, knowing the location of a package or courier is a bonus, but for companies in the business of shipping, delivering, and third-party logistics, it’s a necessity. And so is having the right observability system to ensure everything gets where it needs to go. After all, errors, downtime, or anything that causes delays will end up delivering unhappy customers and lost revenue.

Linux®-based operating systems are becoming increasingly common among software developers. A whopping 45 percent were using Linux in 2022, according to Statista, which is not far behind Windows. Over the last months we have been focusing on improving the Tracealyzer experience for Linux users and the upcoming v4.9 release will bring major improvements.

The increasing rise of Artificial Intelligence for IT Operations (AIOps) in information technology (IT) is rapidly emerging as a transforming force that will redefine the operational paradigms. Essentially, AIOps fuses machine learning, big data analytics, and various IT tools to automate and improve IT Operation processes, including event correlation, anomaly detection, and event causality.

Over the past year, we released a couple of new offerings, like Session Replay and Cron Monitoring. But in addition to building new products, we’re constantly looking for ways to improve our core platform to help you debug software issues faster. As you hopefully saw during Sentry’s Launch Week, we shipped five quality-of-life improvements addressing the following problems: Here’s the latest.