Operations | Monitoring | ITSM | DevOps | Cloud

Increasing online traffic is the goal for any website managers, developers, or e-commerce website builders. More traffic equals more customers and, therefore, sales. However, it can be too much of a good thing. If you don't take steps to address website or app performance during traffic peaks, it can cause those assets to slow down and ultimately crash. Making you a victim of your own success! Website crashes are a catastrophe for e-commerce stores.

InfluxDB clustering is available as part of InfluxData’s commercial product offered in both managed and self-managed capacities.

This tutorial will walk you through sending StatsD metrics to Telegraf. StatsD is a simple protocol for sending application metrics via UDP. These metrics can be sent to a Telegraf instance, where they are aggregated and periodically flushed to InfluxDB or other output sinks that you have configured. At the time of writing, we have 37 different output plugins supported.

Cloud application requirements have pushed beyond the limitations of relational database management systems. This rising demand for managing unstructured data, along with the growing need for data analytics, has caused significant market growth in the NoSQL database sector. MongoDB, as one of the classical NoSQL databases, is a powerful tool helping companies align with new cloud-based business strategies. With great power comes great responsibility.

Microservices and distributed architectures have become the norm for building modern day applications. While the cloud has made it easier to deploy and scale microservices, it has opened up a complex set of problems for DevOps by virtue of the sheer volume of interactions between those services.

In SCOM you can see the monitoring that generates your alerts (the contents of Health Explorer). While SCOM doesn’t always make it easy to get at the valuable context that this monitoring data provides, it is there and can help answer the "why" questions that often come up when looking at an alert in isolation.

In an ideal world where we reached 100% test coverage, our error handling was flawless, and all our failures were handled gracefully — in a world where all our systems reached perfection, we wouldn’t be having this discussion. Yet, here we are. Earth, 2020. By the time you read this sentence, somebody’s server failed in production. A moment of silence for the processes we lost.

Java is used by at least 7.6 Million developers worldwide. Java logging has been a staple of the Java platform since day one, boasting extensive, resourceful documentation and rich API’s. The cornerstone of monitoring your application is efficient and widespread logging. At Coralogix, we know that logs have become one of the most important components of a modern monitoring function.

Hi, I’m Owen, one of the Loki maintainers, and I’m putting proverbial pen to paper to convince you why Loki is important. And this isn’t because it scales (it does) or because I work at Grafana Labs (I do). It’s because of the oft-overlooked and underrepresented organizational benefits. Organizational benefits?! What is this, some sort of cult? Why are you avoiding the technicals? Whoa, whoa, whoa. Now, hold on. The technicals are still valid.

Working with Serverless computing is like riding an electric bike. You get speed, flexibility, automatic assistance to scale with ease. Development is usually hassle-free because you can focus on code and only pay for usage of the service. Except when your users hit an error. Debugging that issue feels like your bike’s battery just died while climbing a steep hill.