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


Control Your Logging Spend With Usage Quotas

We built LogDNA around the idea that developers are more productive when they have access to all of the logs they need, when they need them. However, we also know that log management can get expensive fast. And, for anyone who owns the budget for developer tools, logs can be an unpredictable line item as you try to determine your monthly, quarterly or even annual spend.


Observability and Monitoring for Modern Applications

I drive a 2005 Ford diesel pickup truck. Most of the time my truck runs great. But occasionally an orange light on the dashboard will flicker on to alert me that something is wrong. Unfortunately, there’s no information about what is wrong and why. My truck has a monitoring solution, but not an observability solution. In many cases, IT has the same problem as my truck.


Kubernetes Logging Simplified - Pt 1: Applications

If you’re running a fleet of containerized applications on Kubernetes, aggregating and analyzing your logs can be a bit daunting if you’re not equipped with the proper knowledge and tools. Thankfully, there’s plenty of useful documentation to help you get started; observIQ provides the tools you need to gather and analyze your application logs with ease.


5 Criteria for Choosing the Right Centralized Log Management Solution

In previous posts, we’ve written about two topics covered in the Devo eBook The Shift Is On, which presents the use case for centralized log management (CLM) in the cloud. First, we looked at the 5 best practices for security logging in the cloud. Next, we delved into the question of when your organization should adopt centralized logging. In our final installment, let’s examine the five key evaluation criteria for choosing the right CLM solution for your business.


Centralized Log Management for Cloud Streamlines Root Cause Analysis

Cloud services make the daily tasks of business easier. They enable remote workforce collaboration, streamline administrative tasks, and reduce capital costs. However, these “pros” come with a few “cons.” The IT stack’s increased complexity means staff work across divergent log management tools when something breaks. Centralized log management for the cloud makes root cause analysis easier by aggregating all event log data in a single location.


Data Lake Architecture & The Future of Log Analytics

Organizations in 2021 are leveraging log analytics in the cloud for a variety of use cases, including network security and application monitoring, user behavior analysis, forensic network investigation, and supporting compliance with local and industry-specific regulations. But with enterprise data growing at astronomical rates, organizations are finding it increasingly difficult to efficiently store, secure, and access their log files.


Security operations center, Part 3: Finding your weakest link

Any organization with data assets is a possible target for an attacker. Hackers use various forms of advanced cyberattack techniques to obtain valuable company data; in fact, a study by the University of Maryland showed that a cyberattack takes place every 39 seconds, or 2,244 times a day on average. This number has increased exponentially since the COVID-19 pandemic forced most employees to work remotely, and drastically increased the attack surface of organizations around the world.


The Cost of Racing Toward Success

LogDNA recently celebrated 5 years since our launch in Y Combinator and during this half-a-decade we’ve learned several lessons about balancing cost and scalability. As a founder, here are the top 3 things I wish someone had told me as we were racing towards success. The appeal of building a cloud-native application for a startup is a no brainer—it’s agile, scalable, and can be managed by a distributed team. Not to mention, it’s the cheapest way to get off the ground.