Operations | Monitoring | ITSM | DevOps | Cloud

Docker containers are a great way to create lightweight, portable, and self-contained application environments. Logging is critical for every application since it gives valuable information for troubleshooting, evaluating performance issues, and drawing an overall picture of the behavior of your architecture. This article presents a thorough tutorial covering all you need to know to start with Docker logging. It also provides some recommended practices for optimizing the logs of your containerized apps.

The last couple years have set new global benchmarks for the data and technology sector, putting companies that have considerably accelerated their digitisation processes in the front row. Our relationship with technology also changed immensely. One that has created new expectations by and for all stakeholders – from consumers to enterprise technology companies and governments.

Whether you capture them for application security and compliance, production monitoring, performance monitoring, or troubleshooting, logs contain valuable information about the health of your apps. But it all comes down to what and how you log, which is where log management tools come into play.

There are a lot of reasons why people choose to shop at one online store over another or pick one streaming service over another from the type of service they are getting to pricing, quality and, you’ve guessed it from the title, speed. The speed to which I’m referring is the speed at which the website loads and reacts to user input. In one of my previous articles about netwok latency, I’ve talked about how big of a difference even a two-second extra delay makes.

For the newest instalment in our series of interviews asking leading technology specialists about their achievements in their field, we’ve welcomed Kathleen Moriarty, Chief Technology Officer at the Center for Internet Security. During her tenure in the Dell EMC Office of the CTO, Kathleen had the honour of being appointed and serving two terms as the Internet Engineering Task Force (IETF) Security Area Director and as a member of the Internet Engineering Steering Group from March 2014-2018.

When your Elasticsearch cluster ingests data, it needs to understand how the data is constructed. To do this, your Elasticsearch cluster undergoes a process called mapping. Mapping involves defining the type for each field in a given document. For example, a number or a string of text. But how do you know the health of the mapping process? And why do you need to monitor it? This is where mapping statistics come in. Mapping statistics give you an overall view of the mapping process.

Recently, I wrote an article titled Life Cycle Monitoring: Why an Ounce of Prevention Is Worth a Pound of a Cure. The great Benjamin Franklin coined the term. In the article, I highlighted the value, efficiency, and logic of putting more time into a proper capacity planning and optimization process for all types of IT environments. Most IT professionals would tell you the first thing that comes to their mind when asked how they use log management tools is troubleshooting.

It is commonly believed that once data is collected and ingested into a system of analysis, the most difficult part of obtaining the data is complete. However, in many cases, this is just the first step for the infrastructure and security operations teams expected to derive insights.

If you’re like most organizations, you’re leveraging Jenkins for all sorts of things. Deployment pipelines, automated API tests, even glorified CRON jobs just to name a few.

Delivering value to customers quickly and efficiently is critical to the success of modern businesses. Understanding the process and timeframe during which an organization generates new ideas and then designs, develops and deploys them is vital to success. At the recent Illuminate User Conference, Drew Horn, Director of Business Development, held a discussion with Clara Ko, Director of Engineering at Sauce Labs, and Bryan Veselka, Director and Product Owner for Cloud and Automation at Vizient.