Operations | Monitoring | ITSM | DevOps | Cloud

In recent years, employees have grown increasingly accustomed to the untethered connectivity of Wi-Fi. For many, the days of having a computer tethered to an ethernet cable can seem like a distant memory. That was true when employees were working in an office, and it is all the more the case as we’ve moved to a hybrid work world.

Managing containerized applications efficiently in the dynamic realm of Kubernetes is essential for smooth deployments and optimal performance. Kubernetes empowers us with powerful orchestration capabilities, enabling seamless scaling and deployment of applications. However, in real-world scenarios, there are situations that necessitate the restarting of Pods, whether to apply configuration changes, recover from failures, or address misbehaving applications.

With Infrastructure as Code and service-oriented development, a modern web app can consist of countless moving parts developed by multiple development and DevOps teams. When establishing a high-velocity development environment, the main question is, "How can you guarantee a stellar end-user experience when lots of engineers are constantly pushing and deploying code?" Solid, easy-to-write, and clearly defined monitoring practices are the only answer to this question.

The rapid adoption of software-defined wide-area networking (SD-WAN) has revolutionized how organizations connect their distributed networks. As businesses strive for improved performance, cost efficiency, and enhanced security, SD-WAN solutions have emerged as a game-changer. However, orchestrating a successful SD-WAN migration at a global scale presents numerous challenges that demand careful planning, meticulous execution, and robust network performance monitoring (NPM) capabilities.

While the growth trajectory for data in general is extraordinary, it is the growth of log files that really stand out. As the heartbeat of digital enterprise, these files contain a remarkable amount of intelligence – across a stunning range, from security to customer behavior to operational performance. The growth of log files, however, presents particular challenges for the enterprise. They are not “readable” per se, they require machine intelligence.

Cloud monitoring is like a health check-up for our online spaces. It tells us what's going well and what we need to improve. It is critical because it lets us fix problems before they get too big and helps our online services work at their best. This article talks about how we can use MetricFire to monitor DigitalOcean environments.

Just conducting one type of testing is generally not enough. For example, let’s say you decide to perform unit testing only. However, unit tests only verify business logic. Many other types of tests exist to verify the integration between components, such as integration tests. But what if you want to measure the maximum performance of your application? Or what if you want to know how the application behaves under extreme stress?

Often it can be a challenge to collect data into a monitoring environment that does not natively support that data source. Bindplane can help solve this problem. As the Bindplane Agent is based on OpenTelemetry (and is also as freeform as possible), one can bring in data from disparate sources that are not easily supported by the Splunk Universal Forwarder.

The Internet of Things (IoT) - is a number of physical devices connected to one network that enables the system to interact with the external world. A great deal of the work surrounding IoT is monitoring, as it’s impossible to react without knowing the situation. For example, we might build a greenhouse system for agriculture that can maintain optimal conditions for growing crops. For this purpose, we need to have sensors picking up information about the temperature and humidity.

For today’s IT and security professionals, threats come in many forms – from external actors attempting to breach your network defenses, to internal threats like rogue employees or insecure configurations. These threats, if left undetected, can lead to serious consequences such as data loss, system downtime, and reputational damage. However, detecting these threats can be challenging, due to the sheer volume and complexity of data generated by today’s IT systems.