Operations | Monitoring | ITSM | DevOps | Cloud

Security Information and Event Management (SIEM) protects organizational assets in today's evolving cybersecurity landscape. As threats become more sophisticated, the importance of well-structured SIEM use cases cannot be underestimated. Dive in as we explore the modern approaches to building, organizing, and prioritizing SIEM use cases. Read on to learn the right approach to building SIEM use casesGathering the Right Data for Meaningful Insights The top ten use cases you cannot afford to miss.

At the most basic level, application programming interface (API) monitoring checks to see if API-connected resources are available, working properly and responding to calls. API monitoring has become even more important (and complicated) as more elements are added to the network and the environment evolves, including multiple types of devices, microservices as a key part of application delivery, and, of course, the widespread move to the cloud.

In the digital era, effective document management is a cornerstone for operational efficiency in organizations. With a surge in data generation and collaboration needs, having a robust system to store, manage, and share documents is imperative. SharePoint Document Libraries emerge as a pivotal tool in this regard, offering a myriad of features to streamline document management, enhance collaboration, and uphold information governance standards.

You'll often hear the term "containers" used to refer to the entire landscape of self-contained software packages: this includes tools like Docker and Kubernetes, platforms like Amazon Elastic Container Service (ECS), and even the process of building these packages. But there's an even more important layer that often gets overlooked, and that's container images.

Many companies use anti-theft labels to prevent theft and protect assets. These tags are attached to objects to alert security personnel or staff to an attempted theft. What other advantages do anti-theft tags offer? And how do they work?

As systems increasingly shift towards distributed architectures to deliver application services, the roles of monitoring and observability have never been more crucial. Monitoring delivers the situational awareness you need to detect issues, while observability goes a step further, offering the analytical depth to understand the root cause of those issues. Understanding the nuanced differences between monitoring and observability is crucial for anyone responsible for system health and performance.

Over the last year or so, the unavoidable topic of overwhelming cost has emerged as the number one issue among today’s observability practitioners. Whether it is in conversations among end users, feedback from customers and prospects, industry chatter or the coverage of experts including Gartner, the issue of massive telemetry data volumes driving unsustainable observability budgets prevails.

Organizations in Europe are currently facing the challenge of reducing energy consumption and improving sustainability in light of the European Green Deal. The EU Green Deal has been approved by the European Commission which focuses on decreasing greenhouse gas emissions by 55% compared to the 1990 levels by 2030. Europe is striving to be the first climate-neutral continent by 2050.

As a major retailer with more than 1,700 outlets, Canadian Tire needs robust business processes that continue to operate seamlessly when adverse events strike. Although the company had disaster recovery plans in IT and an established business impact analysis discipline in its business units, these processes ran on Microsoft Excel, Word, and emails—and weren’t connected.

Platform engineering started appearing in 2017 and was identified as a distinct DevOps role in 2019 in the book Team Topologies. Adoption quickly accelerates, and by 2022, there are platform engineering meetups worldwide, and over 6,000 DevOps professionals attend Platform Con, the first platform engineering conference. With such a fast rise in popularity, many technology professionals still need clarification on the role and how it fits into the DevOps methodology.