Operations | Monitoring | ITSM | DevOps | Cloud

Once upon a time, we thought “Log everything” was the way to go to ensure we have all the data we needed to identify, troubleshoot, and debug issues. But we soon had new problems: cost, noisiness, and time spent sifting through all that log data. Enter log analysis tools to help refine volumes of log data and differentiate signal from the noise to reduce mental toil to process. Log beast tamed, for now….

Redundancy and resiliency are both important factors for keeping things running smoothly in many industries. For example: Even small businesses, like home-based operations or mom-and-pop shops, should think about redundancy and resiliency to avoid disruptions in their day-to-day work. While researching for this article in my home office, my internet service went out and stayed out for a couple of hours.

With more organizations becoming tech-enabled to tackle the AI boom, a new term has emerged: the fusion team. At least 84% of companies and 59% of government entities have set up “fusion teams," according to Gartner data. A new concept coined by Gartner, the fusion team aims to encourage collaborative development among technology and business teams. But what exactly is a fusion team, and why is it becoming increasingly important in today's business landscape?

Once upon a time, we thought “Log everything” was the way to go to ensure we have all the data we needed to identify, troubleshoot, and debug issues. But we soon had new problems: cost, noisiness, and time spent sifting through all that log data. Enter log analysis tools to help refine volumes of log data and differentiate signal from the noise to reduce mental toil to process. Log beast tamed, for now….

Imagine living in a world without caller ID, which is easy if you grew up in the “late 1900s.” Every time someone called, you had a conversation that followed this pattern: Hi! Who’s this? It’s Jeff! Hi Jeff! How’s it going? Today, most people already know who’s calling when they answer the phone because caller ID is built into smartphones and communications apps. As a developer, your Python logging is your application’s caller ID.

System logging protocol, abbreviated as Syslog, is a standard protocol used for message logging. Put simply, it is a standard for collecting and storing log information. A Syslog server collects, parses, stores, examines, and dispatches log messages from devices including routers, switches, firewalls, Linux/Unix hosts, and Windows machines.

Centralizing logs (arranging all records in one place) is often challenging as we need to decide whether to use a log shipper or directly log from the application. If you are not familiar with a log shipper, logging directly from the library might be a suitable option for development (it is easy to configure). However, in production, you'll likely want to use one of the available log shippers, mainly due to buffers, since blocking the application or dropping data (immediately) may not be an option.