When IT professionals change jobs, it isn’t always a smooth and easy transition. Let’s say you worked somewhere else for a couple of years and got used to the environment you worked in. It was your kitchen; you knew what was in each drawer and where to put everything away. And even though the technology will be the same at your new job (the network is the network, after all), there will still be significant differences.

These release notes describe new features, improvements and fixed issues in Pandora FMS NG 748. They also provide information about upgrades and describe some workarounds for known issues.

What is a release? As many of you know, one stormy autumn night Pandora FMS team climbed to the most abrupt and outstanding peak of the surrounding area and swore, above all, to launch a release with new features and updates every month, whether it rained or thundered. And since that illustrious day, new releases have been launched to the delight of our followers.

Step Functions is a managed service by AWS that implements the Finite-state Machine (FSM) model. You coordinate multiple AWS services into serverless workflows so you can build and update apps quickly. Using Step Functions, you can design and run workflows that stitch together services such as AWS Lambda and Amazon ECS into feature-rich applications. You can read Wikipedia’s definition of a Finite-state Machine, but I think you’ll like the next section more. Keep on reading.

Scripting languages (VBScript, Python, PowerShell etc) are both flexible and convenient to create small scripts, to handle a simple monitoring task (such as poll a device for data or execute custom alert). Python has an advantage of being general purpose cross-platform scripting language for years, with many well-known scripts either already available on the Net, or quick to compose.

In this post, we learn how to use tasks in combination with checks for monitoring with InfluxDB.

AWS Step Functions is a great service for orchestrating multi-step workflows with complex logic. It’s fast to implement, relatively easy to use and just works. The problem is its price. For relatively low-scale projects, it’s a feasible solution. But for large-scale, enterprise-grade orchestration with hundreds of millions of processes, each with dozens of steps, it can be cost prohibitive.

San Jose, CA, August 6, 2020 – AUCloud’s IT infrastructure has seen a 30% savings in IT capacity and a 20% improvement in performance by implementing deep IT monitoring tools. The Australian Government and Critical National Industry Infrastructure-as-a-Service (IaaS) provider’s improvements in results were gained through its partnership with Virtana, a leader in enterprise hybrid cloud migration and optimization.

The Silicon Review In today’s digital era, the IT organizations equipped to see and fully understand their applications and infrastructure are well poised to find, fix, and prevent performance or cloud-related issues – often before they arise. However, without expert guidance and fine-tuned solutions, digital transformation and the promise of hybrid cloud infrastructures can create unforeseen complexities throughout the process.

Today, we made an important announcement that builds on and extends our category leadership in Continuous Intelligence. This blog is to put that announcement into context for our customers, partners and the broader industry. In 2017, we shared our strategy to democratize machine data by building a cloud-native, Continuous Intelligence Platform™ to 1) unify modern application and machine data; 2) support the ongoing proliferation of users and access; and 3) leverage cloud-scale economics.