Operations | Monitoring | ITSM | DevOps | Cloud

Log management and analysis tools provide you real-time visualization of how your users are interacting with your apps and systems. Many of these log management tools include a sophisticated visual dashboard to immediately analyze data. They also offer your DevSecOps teams deeper insights and possibilities to enhance code quality, boost productivity and reduce risks. What should the best log management tools do for your team to be successful?

Logs are like digital footprints or a letter that developers write to themselves for the future. They track every action or event that takes place within your software, applications and IT infrastructures. They provide important information such as when an action took place, host name, type of action, application used and more.

Log management turns the huge volume of raw information created as logs into something usable for an organization's DevOps, IT and security teams. When log management is done correctly, its benefits include: Let’s take a closer look at some of the benefits of log management and how they apply to specific areas.

Long-term storage, especially for logs, is essential to any modern observability provider. Each vendor has their own method for handling this problem. While there are numerous available solutions, let’s explore just one – DataDog – and see the benefits and limitations.

As an operations engineer (SRE, IT Operations, DevOps), managing technology and data sprawl is an ongoing challenge. Cloud Native Computing Foundation (CNCF) projects are helping minimize sprawl and standardize technology and data, from Kubernetes, OpenTelemetry, Prometheus, Istio, and more. Kubernetes and OpenTelemetry are becoming the de facto standard for deploying and monitoring a cloud native application.

Compliance is a term commonly associated with heavily regulated industries such as finance, healthcare, and telecommunication. But in reality, it touches nearly every business today as governments and other regulatory agencies seek to enact tighter controls over the use of our collective digital footprint. As a result, more and more companies need to retain a record of every single digital transaction under their control.

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.