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The latest News and Information on Log Management, Log Analytics and related technologies.


Data Denormalization: Pros, Cons & Techniques for Denormalizing Data

The amount of data organizations handle has created the need for faster data access and processing. Data Denormalization is a widely used technique to improve database query performance. This article discusses data normalization, its importance, how it differs from data normalization and denormalization techniques. Importantly, I’ll also look at the pros and cons of this approach.


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.


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.

Data lake vs. data mesh: Which one is right for you?

What’s the right way to manage growing volumes of enterprise data, while providing the consistency, data quality and governance required for analytics at scale? Is centralizing data management in a data lake the right approach? Or is a distributed data mesh architecture right for your organization?


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 Splunk Immersive Experience powered by AWS is here!

The Splunk Immersive Experience (SIE) powered by AWS is now open! The SIE journey is thoughtfully crafted to showcase industry-specific solutions for known use cases and highlight tangible business value and outcomes that Splunk and AWS can deliver. For more information and to find out how you can get an SIE tour, check out the video.

Public Sector Predictions - the highlights for 2023 and two challenges that the public sector faces

Has the public sector ever been under so much pressure? Universal across all government departments, essential public services are under significant strain. However, COVID-19 and the subsequent knock-on impacts (economic, social and healthcare challenges) have buckled the resilience and kept many front-line concerned with delivering the scale of service required by the public.