Articles and guides that help you make
data-driven decisions
Picture a scenario where everyone in your office brings their printer. Some use inkjet printers, some use laser printers, and some barely work. They all require setup, take up space, and necessitate different levels of support. Most printers do the same thing: print documents, but no one shares them, and support teams are stuck fixing all of them.
In the financial sector today, CIOs face a dual challenge: Reducing IT expenditures and supporting other business units while ensuring strict adherence to regulations like GDPR, PCI-DSS, and SOX. This balancing act becomes increasingly complex as observability data volumes grow exponentially.
How do you observe/monitor applications in a continuously growing distributed system while software development continues to evolve in complexity? The answer (to a significant degree)
When observability is brought up, many assume it will lead to substantial costs. The various tools and resources needed for different monitoring requirements can cause
Every year, new trends and patterns emerge in the observability world. Some recur, and some develop with the changing data and technology landscape. Observability in
Quick Overview SigNoz and Flume are strong all-in-one platforms combining logs with traces and metrics. Grafana Loki excels in Kubernetes, thanks to efficient indexing and
Explore the many uses, benefits, and common challenges of data lakes and how Apica’s data lake solution can help.
“Isn’t observability just a fancy term for monitoring?” That’d be the response from most IT folks a few years back if you asked them about
If you’re a DevOps engineer, IT personnel, or developer, you’re likely very familiar with telemetry data. After all, it’s what provides you with valuable insights
