Operations | Monitoring | ITSM | DevOps | Cloud


The latest News and Information on Observabilty for complex systems and related technologies.


Airlines aiming to transform need modern Observability.

The last decade has been nothing but a roller coaster ride for the airline industry. The pandemic has transformed it forever and now it needs to reevaluate its digital transformation priorities on how to manage traveler expectations. Taking it a step further, travelers buying behavior is changing farther as now they will want to book tickets while chatting with an AI interface. The transformation was already underway. In 2020, Google Cloud and Sabre announced a partnership to modernize Sabre.


What Is Observability? Examples of How It Can Help You

Observability is a powerful concept that can help you gain insight into the performance of your systems and applications. It refers to the ability to measure, monitor, analyze, and manage different aspects of an infrastructure or application—from hardware components to application code. With observability techniques such as distributed tracing, monitoring metrics, log analysis, and anomaly detection, organizations can ensure their applications run smoothly without downtime or disruption.


Federated Observability: The Key to Achieving Business Agility

A Flexera research has found that organizations often need help tracking and controlling cloud costs, with an estimated 30% of cloud spend being wasted. Enterprises are currently prioritizing observability solutions in order to tackle the problem of rising cloud expenses by pinpointing the underlying factors responsible for the increase. Today, Observability has become a hot topic in the technology industry as organizations seek to optimize their systems for maximum efficiency.


How Much Should Your Observability Stack Cost?

Observability is critical to any software development. It is a term that describes the ability to monitor the performance and health of applications, services, and infrastructure. Observability aims to quickly identify and troubleshoot problems before they become full-blown incidents that can lead to costly downtime. But how much should you invest in an observability stack? Regarding the cost of your observability stack, there is no one-size-fits-all answer.


Logiq or Elastic? Make the right choice

Enterprises today need to make data-driven decisions to remain competitive in the market. However, managing the vast amounts of data generated from applications and infrastructure can be a challenge, and that’s where observability platforms like ELK and LOGIQ come into play. ELK (Elastic Stack) is an open-source platform consisting of Elasticsearch, Logstash, and Kibana, which are designed to collect, store, and visualize log data.

Reference Architecture Series: Scaling Syslog

Join Ed Bailey and Ahmed Kira as they go into more detail about the Cribl Stream Reference Architecture, with a focus on scaling syslog. In this live stream discussion, Ed and Ahmed will explain guidelines for how to handle high volume UDP and TCP syslog traffic. They will also share different use cases and talk about the pros and cons for using different approaches to solve this common and often painful challenge.

See How Coveo Engineers Reduced User Latency

Many teams are wasting far too much time and energy searching through massive amounts of log data trying to find answers to user latency issues. Metrics data doesn’t help either as it only tells you that there is a problem, not where to fix it. This is why Coveo turned to observability. Through implementing observability with Honeycomb, Coveo was able to reduce their user latency by 50 percent.

Join Jeli and Honeycomb for an Incident Response and Analysis Discussion

Solutions Engineers Vanessa Huerta Granda and Emily Ruppe from Jeli, along with Honeycomb’s Field CTO Liz Fong-Jones and SRE Fred Hebert discuss some of our more interesting recent incidents and how we use Honeycomb and Jeli together for incident response.

Learn How SumUp Implemented SLOs to Mitigate User Outages and Reduce Customer Churn

Blake Irvin and Matouš Dzivjak from SumUp’s Software Engineering team, Honeycomb Solution Architect Michael Sickles and Account Executive Nathan Leary, discuss how SumUp incorporated observability, specifically, SLOs, to identify and resolve issues before they grew into customer-noticeable problems.