Operations | Monitoring | ITSM | DevOps | Cloud

This is the second of a four-part security blog series covering why ScienceLogic is listed in the DoDIN APL catalog, what this means for monitoring critical IT infrastructure, and why APL certification is relevant for all organizations. Part two is about what the DoDIN APL is and why it matters to both government and non-government organizations.

I joined Grafana Labs as a software engineer in October to help build out a team focused on OpenTelemetry, and within a few weeks, I was promptly encouraged to run for a seat on the OpenTelemetry board. Every year, the OpenTelemetry community holds elections for a few seats on the Governance Committee board, which oversees the project at large. The results of this year’s elections are now available, and I am glad to share that I have been elected to serve on the board!

Sending custom metrics to Datadog allows you to monitor important data specific to your business and applications, such as latency, dollars per customer, items bought, or trips taken. And tags are key to being able to slice and dice these custom metrics to quickly find the information you need. But collecting enough custom metrics to have complete visibility can be cost prohibitive. For example, you might run microservices instrumented across thousands of containers.

IT professionals love their metaphors. From “pets vs. cattle” to “post mortems” to “fog computing” and beyond, practitioners tend to use analogies to shape the way they think about complex technical topics. Here’s another analogy: Log looms.

I recently wrote about the importance of logging and how developers often overlook it in the software development process. Now that you’re convinced that you should be logging throughout the SDLC, it’s time to choose a reliable and dedicated log management platform.

Logz.io is a SaaS (software as a service) provider with an observability offering made up of various managed open source technologies. These technologies include the Elastic Stack for logging and SIEM (security information and event management), Prometheus, for monitoring, and Jaeger for tracing. The company positions itself as an alternative to the Elastic Stack (or ELK Stack), which is made up of Elasticsearch, Logstash, Kibana, and Beats.

IT teams are always under pressure to save money where they can, but doing so isn’t easy. Learn how one company was able to make practical IT wins that ultimately saved significant productivity loss and protected their bottom line.

Hi there, I guess that if you are here, you've already read the first part of this series and want some help to quickly get value from your NetFlow data, building trend analysis and advanced analytics with long term data (i.e months), in addition to playing with real-time data. You can take advantage of Splunk’s super flexible schema on read architecture to exploit your real-time data from the very first moment you get the data in.

Serverless development has been turning heads in the market for quite some time now. But it has yet to be accepted by the majority in the development community. With AWS Lambda, Azure Functions, and IBM’s Open Whisk, the market is poised to take a different route in this field. Most of these organizations are spending a lot of money to make the market accept this new paradigm using serverless computing.