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

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.

The future of observability: Trends and predictions business leaders should plan for in 2023 and beyond

If the past year has taught us anything, it’s that the more things change, the more things stay the same. The whiplash and pivot from the go-go economy post-pandemic to a belt-tightening macroeconomic environment induced by higher inflation and interest rates has been seen before, but rarely this quickly. Technology leaders have always had to do more with less, but this slowdown may be unpredictable, longer, and more pronounced than expected.

The Ultimate Guide to Digital Workplace Observability

The digital workplace has evolved dramatically over the past decade, both in terms of the increased reliance on technology for daily operations and the complexity of that technology. In order to manage an improve the digital workplace, service desk teams need more than just a comprehensive view of their IT environments — they need to be able to analyze that data in real-time to make faster, more continuously effective decisions. Enter: digital workplace observability.

Introduction to Kubernetes Observability

Cloud has become the de-facto standard for new application development. Kubernetes solves many problems of modern-day cloud infrastructure. It has made microservices-based distributed software systems possible, enabling organizations to provide on-demand scaling. But at the same time, Kubernetes has also increased operational complexity. In simple terms, Kubernetes is a container orchestration tool. Container environments are dynamic and ephemeral.

Top 10 AIOps & Observability Capabilities for the Banking and Finance Sector

Maintaining trust in the business services your customers rely on is everything. With ever-increasing customer expectations and the promise of ‘always-on’ services, poor digital experiences and outages can cause significant harm to your business. The Interlink Software AIOps and Observability platform strengthens IT teams’ capability to deliver more reliable, available digital services and reduce the risk of customer impacting disruption.

Ask Miss O11y: Is There a Beginner's Guide On How to Add Observability to Your Applications?

I want to make my microservices more observable. Currently, I only have logs. I’ll add metrics soon, but I’m not really sure if there is a set path you follow. Is there a beginner's guide to observability of some sort, or best practice, like you have to have x kinds of metrics? I just want to know what all possibilities are out there. I am very new to this space.

Splunk Observability in Less Than 2 Minutes

Splunk Observability is the most comprehensive observability solution available today, combining application, infrastructure and digital experience monitoring, with log management, AIOps and incident response in a single solution experience. With Splunk Observability software engineering and IT operations teams can fix problems faster, improve reliability and build exceptional customer experiences.