Operations | Monitoring | ITSM | DevOps | Cloud

For this first blog post, I selected a problem related to a few tips and tricks I have been writing: Message validation inside Logic Apps or JSON schema validation.

While reading a GitHub issue on the OpenTelemetry Collector about trying to send two versions of a metric, one with higher and one with lower cardinality, it occurred to me that we’ve never written on this blog about what is high-cardinality data exactly and how it matters to your OpenTelemetry observability. High-cardinality data refers to a dataset or data attribute that contains a large number of distinct values relative to the total number of data points.

This week Lightrun attended the annual FinOps X event. The event was sold out and packed with great speakers, practitioners, and amazing atmosphere. Compared to last year which had over 300 attendees, this year the event brought over 1200! Above is a screenshot taken from the venue entrance reminding the audience with the core principles of FinOps.

We recently introduced a new version of InfluxDB, rewritten from the ground up to improve performance across the board. As with any undertaking of this nature, developers will need to make some adjustments to their applications in order to incorporate the new database. We even faced this challenge internally. We had many Telegraf instances sending data to legacy versions of InfluxDB.

In recent years, network operations teams have had to contend with several critical challenges, including: In response to these challenges, teams are increasingly turning to SD-WAN. The market for SD-WAN is massive, and continuing to grow, potentially reaching $47 billion by 2031. Through SD-WAN technologies, organizations are able to realize a number of benefits. However, these benefits aren’t a sure thing. In fact, many teams encounter challenges with their SD-WAN implementations.

This month, Sysdig has released Process Tree which enriches the Events feed for workload-based events. This helps with identifying all the processes that led up to the offending process. This is in technical preview status. Sysdig has also released Sysdig Secure Live.

“Time is money” couldn’t be truer than in managing cloud costs. By way of proactive anomaly detection, a chance is given to save time that could have been spent on issue recognition and resolution. Anomaly detection for the Cloud can be tricky since there can be changes in prices & data on billing history anytime. Not to mention, seasonality can mess things up as well.

Every business today is now a tech company, regardless of the product or service they offer. While Tesla is a tech company that manufactures automobiles, one may argue that Footlocker is also a tech company that happens to sell sneakers.

On July 4th we celebrate. We celebrate freedom of movement, freedom of assembly, removal of excessive taxation, and much, much more. But what about digital independence? Removing the tyrannical yoke of control over your observability data. Authoritarian vendors restrict access and movement; they dictate proprietary formatting and even limit what can be commingled with your data, then apply enormous tax burdens (i.e. license fees) just to store your data.

One of the most captivating discussions I had at KubeCon Europe 2023 in Amsterdam was about standardization of a query language for observability. This query language standard aims to provide a unified way of querying observability data across logs, metrics, traces, and other relevant signals. The conversation shed light on the pressing need for a standardized approach to overcome the challenges posed by the plethora of query languages currently in use.