Operations | Monitoring | ITSM | DevOps | Cloud

Comparing Prometheus vs. Cortex - Scalability, Cost, Performance, Known Weaknesses.

As the world continues to shift toward a remote-first or hybrid work model that relies heavily on cloud applications and SaaS, new business challenges have emerged for the IT industry. One of these challenges we’ve been tracking here at Auvik is the lack of management for SaaS applications and the risks this kind of shadow IT can bring to a business. That’s why we think the 2022 Gartner Market Guide for SaaS Management Platforms (December 2022) is so critical.

Businesses rely heavily on their networks to maintain smooth operations, enable seamless communication, and facilitate efficient data transfers. However, network instability can throw a wrench into even the most well-oiled business machinery, resulting in frustrating delays, dropped connections, and reduced productivity. This is where network jitter monitoring comes to the rescue.

Psst, hey pal, would you like to buy a time machine? I am not talking about some H.G. Wells monstrosity where you somehow end up being chased by dinosaurs or become your own grandparent. But a time machine for your observability data. License costs and tool performance often keep organizations from ingesting all their data or require them to limit data retention time. Security incidents are often discovered long after these retention times are exhausted or require data that was never ingested.

Honeycomb has the ability to receive events from applications. These events can take the shape of Honeycomb wide events, OpenTelemetry trace spans, and OpenTelemetry metrics. Because Honeycomb’s backend is very flexible, these OpenTelemetry signals fit in just fine—but sometimes, they have a few quirks. Let’s dive into using metrics the Honeycomb way and cover a few optimizations.