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

Log Formats - a Complete Guide

Log management software operates on the basis of receiving, storing, and analyzing different types of log format files. There are several of these standardized log formats that are most commonly generated by a wide assortment of different devices and systems. As such, it is important to understand how they operate and differ from one another so that you can use them the right way, as well as avoid some common mistakes.

2019 was great, but we're just getting started

It’s the start of a new year and the time is right to assess what we’ve accomplished and where we’re going. First, I think we should celebrate the incredible year LogDNA just completed. I’m so proud of what our LogDNA team accomplished. Not only because it’s quite impressive, which it is, but also because it lays the groundwork for what’s to come in 2020.

A Step-by-Step Guide to Java Garbage Collection Tuning

Working with Java applications has a lot of benefits. Especially when compared to languages like C/C++. In the majority of cases, you get interoperability between operating systems and various environments. You can move your applications from server to server, from operating system to operating system, without major effort or in rare cases with minor changes.

Observability Trends in 2020 and Beyond: Announcing the DevOps Pulse 2019 Results

2020 is here and it looks like it’ll be a truly exciting and impactful year for the DevOps community. As you know, the landscape is changing rapidly, and as a result, new technologies and methodologies are emerging to solve challenges you’re experiencing on the job. Observability is one such concept–and achieving it is a huge challenge for software engineers across the globe.

Splunk Stream 7.2 - Integration with Amazon VPC Traffic Mirroring

Recently, our good friends at Amazon Web Services (AWS) launched an awesome new product, VPC Traffic Mirroring. Here at Splunk, we are excited about this new capability as it allows our Splunk Stream platform to ingest this data, and send it on to any Splunk instance, in the cloud or on premises. Leveraging this capability allows Splunk users to collect specific network data from their AWS environment, and use it to fulfill security, IT Ops, or business-focused use cases.

A Quick Start on Java Garbage Collection: What it is, and How it works

In this tutorial, we will talk about how different Java Garbage Collectors work and what you can expect from them. This will give us the necessary background to start tuning the garbage collection algorithm of your choice. Before going into Java Garbage Collection tuning we need to understand two things. First of all, how garbage collection works in theory and how it works in the system we are going to tune.

AWS offers 175 services now. Should you be adopting many of them now?

At this year’s AWS reInvent, we heard Andy Jassy go on stage to announce a bunch of new services to help companies unleash the power of cloud. 27 new services to be exact - everything from Machine learning IDE, to code review tools to contact center offerings (see the full list here); last year, AWS announced another 30 new services ranging from machine learning to VR/AR to satellite data. So now AWS has over 175 services - a staggering count by any imagination.

Logging Redis with ELK and Logz.io

Redis is an extremely fast NoSQL data store. While it is used mainly as a cache, it can be applied to uses as diverse as graph representation and search. Client libraries are available in all of the major programming languages, and it is provided as a managed service by all of the top cloud service providers. For the past three years, Redis has been named the most loved database by the Stack Overflow Developer Survey.

Can You Tell Debug Data and BI Data Apart?

A few blogs posts ago I wrote about new BI for digital companies and in that blog I alluded that quite a bit of that BI is based on log data. I wanted to follow up on the topic of logs, why they exist and why they contain so much data that is relevant to BI. As I said in that post, logs are an artifact of software development and they are not premeditated, they are generated by developers almost exclusively for the purpose of debugging pre-production code. So how is it that logs are so valuable for BI?