Operations | Monitoring | ITSM | DevOps | Cloud

Apache Kafka is the de facto standard for event streaming use cases across industries. Many use cases can be applied to the aviation industry, too. Concepts like payment, customer experience, and manufacturing differ in detail. But in the end, it is about integrating systems and processing data in real-time at scale. For instance, omnichannel retail with Apache Kafka applies to airline, airports, global distribution systems (GDS), and other aviation industry sectors.

SOAP vs REST vs JSON are comparisons that are frequently made in discussions about web services. While SOAP and REST are both leading approaches to transferring data over a network using API calls, JSON is a compact data format that RESTful web services can use. Deciding whether you should create a SOAP vs REST API is an essential question if you are planning to provide a web service. Each architectural style has its own use cases, benefits, and limitations.

Just a few short months ago, we talked about a bunch of updates to Honeycomb’s support for OpenTelemetry. To the surprise of no one, we’ve got more updates to share!

The HTTP protocol has become the de facto standard application layer protocol of the internet. From publicly available web sites and APIs to “inter-process” communications in REST based microservice architectures or large Service Oriented Architectures based on SOAP, you find HTTP being used again and again, due to its simplicity and our familiarity with it. How many protocols can you name that have memes for their status codes?

Observability is the ability to see and understand the internal state of a system from its external outputs. Logs, Metrics, and Traces, collectively called observability data, are three external outputs widely considered to be three pillars of observability. Now more than ever, organizations of all sizes must employ the necessary processes and technologies to harness the power of their data and make it more actionable.

Checkly private locations enable you to run browser and API checks from within your own infrastructure. This requires one or more Checkly agents installed in your environment where they can reach your applications and our Checkly management API. You need to ensure you have enough agents installed in order to run the number of checks configured in the location. We have a guide to planning for redundancy and scaling in our documentation.

Ever run into issues building a panel in your Grafana dashboards? To help with those issues, the current support process for Grafana, Grafana Cloud, and Grafana Enterprise often requires many cycles where we request more information. This can be slow, frustrating for both our users and our support teams, and the process makes it difficult to reproduce issues without access to similar data.

BubbleUp is Honeycomb’s machine-assisted debugging feature and is one of our most powerful differentiators. It leverages machine analysis to cycle through all of the attributes found in billions of rows of telemetry to surface what is in common with problematic data compared to baseline data. This explains the context of anomalous code behavior by surfacing exactly what changed when you don’t know which attributes to examine or index, dramatically accelerating the debugging process.