Operations | Monitoring | ITSM | DevOps | Cloud

In today’s fast-paced and competitive markets, staying ahead isn’t just a luxury—it’s a necessity. However, keeping tabs on every move your competitors make can be overwhelming. This is where competitive intelligence (CI) plays a crucial role. CI involves tracking your competitors’ strategies, pricing models, and trends to gain insights that allow you to make informed business decisions.

Dealing with disruptions from third-party providers can really disrupt your business operations. As our IT infrastructures become more complex, managing these outages can be quite a headache. If you're a site reliability engineer (SRE) looking for a smoother way to handle these incidents, you'll want to check out the new Rootly and IsDown integration. Rootly is an incident management system that seriously speeds up business response times.

Observability means you know what’s happening in your software systems, because they tell you. They tell you with telemetry: data emitted just for the people developing and operating the software. You already have telemetry–every log is a data point about something that happened. Structured logs or trace spans are even better, containing many pieces of data correlated in the same record. But you want to start from what you have, then improve it as you improve the software.

As the number of distinct sources generating logs across systems and applications grows, teams face the challenge of normalizing log data at scale. This challenge can manifest when you’re simply looking to leverage logs “off-the-shelf” for investigations, dashboards, or reports–especially when you don’t control the content and structure of certain logs (like those collected from third-party applications and platforms).

Chances are, you've heard one of the main promises of serverless compute: "you only pay for what you use". While convenient when starting a new project, once you start to get continuous usage on that compute, you start to realize you're paying a hefty premium for that convenience. If you're using AWS Lambda like I am, chances are that "for what you use" part isn't completely true either.

In 2020, we introduced the GitHub data source plugin for Grafana, helping organizations visualize and gain deeper insights into their use of the popular version control and collaboration platform. Since then, thousands of users have installed the data source, and we’ve been working hard to extend its capabilities and make it even easier to use.

Discover the key differences between Datadog and Grafana to find the ideal monitoring tool that fits your needs and budget.

Debugging Django applications can be challenging, but it’s key to keeping your app running smoothly in production. From unexpected bugs to performance slowdowns, finding and fixing issues efficiently keeps users happy and reduces downtime. For example, when an error occurs on a critical page, like a checkout page, identifying the issue quickly is crucial to avoid disrupting user transactions.