Operations | Monitoring | ITSM | DevOps | Cloud

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

5 Reasons Why You Should Invest in a Docker Logging Tool

Today, continuous development and continuous delivery have become the de facto mode of application development for businesses seeking higher agility. With the continuous push to achieve higher efficiency and reliability in running software operations, container technologies like Docker, Kubernetes, and Mesos have become mainstream. Among these technologies, Docker is the most popular.

Applying AIOps to Logs Is Key for Observability

Logging is an essential method to understanding what’s happening in your environment. Logs help developers and system administrators understand where and when things have gone wrong. Ideally, logs on their own would suffice as indicators of what’s happening. However, there’s far too many log messages being produced in today’s world and most don’t contain the information we actually need.

Webinar: Logging Best Practices in the CI/CD Era

With the overabundance of log data available today, it’s easy to simply limit logging events. However, this pattern overlooks the latent value in your log data. To be proactive, rather than reactive. Utilizing experience serving 1,000+ customers worldwide, Ariel Assaraf, CEO of Coralogix, will show you how to transform your logs into a treasure trove of opportunities for improving business decisions and anticipating operational problems before they happen.

Elastic's Guide to Data Visualization in Kibana

Practitioners the field of data visualizations often talk about 2 types of visualizations: exploratory vs explanatory. To quote Google definitions, “Exploratory data visualizations (EDVs) are the type of visualizations you assemble when you do not have a clue about what information lies within your data. Nov 19, 2018” Explanatory visualization, by contrast, is defined as “what happens when you have something specific you want to show an audience” (Storytelling with data blog, April 2014)

DevOps Best Practices for CI CD and Observability

Modern DevOps engineers are responsible for both running production and quickly responding to any production issues. To do this, they need to streamline their CI/CD pipeline and be equipped to quickly identify and investigate problems in production. In this webinar, we’ll hear from Mike and Sam from Logz.io and CircleCI, respectively, on how CircleCI and Logz.io can work together to simplify and accelerate application delivery and response to production issues.

Mitigate Logging Costs While Maintaining Full Observability with Logz.io

Considering the scale of log data that modern cloud environments generate, it’s oftentimes prohibitively expensive to index all of it. For monitoring and logging, cost management is just as important as in other parts of the business. Whether sudden spikes of log data overwhelm databases or good business generates more activity in your environment, teams should anticipate and mitigate the steep costs that result from high log volumes.

How to implement Prometheus long-term storage using Elasticsearch

Prometheus plays a significant role in the observability area. An increasing number of applications use Prometheus exporters to expose performance and monitoring data, which is later scraped by a Prometheus server. However, when it comes to storage, Prometheus faces some limitations in its scalability and durability since its local storage is limited by single nodes.

Profiling "VIP Accounts" Part 1

Detecting malicious activity is rarely easy, but some attacker methods are more challenging to detect than others. One of the most vexing techniques to counter is credential theft. Attackers that gain control over a user account have access to the assets of that user. If the credentials are for an account with special privileges, like a system administrator, then the attacker may be able to gain access to system-wide resources and even be able to change logs to cover their tracks.