Operations | Monitoring | ITSM | DevOps | Cloud

The trend of Platform Engineering is now gaining momentum, which analysts and industry experts refer to as one of the most disruptive philosophies of the moment. But regardless of experts’ predictions and assumptions, what matters for organizations today is understanding what adopting an approach such as Platform Engineering actually entails, what a successful solution looks like, and how to adopt best practices for its implementation. That's what this article is about.

We´re proud of our many customers and users around the globe that trust Icinga for critical IT infrastructure monitoring. That´s why we´re now showcasing some of these enterprises with their Success stories. It´s stories from companies or organizations just like yours, of any size and different kinds of industries. Some of them are our long-standing customers, others have just recently profited from migrating from another solution to Icinga.

Vulnerabilities are part and parcel of the software development life cycle. If left untreated, they can expose your application to malicious attacks, which can be detrimental to its functioning and reliability. To avoid severe damage and complications that arise from having the vulnerabilities exposed, it is good practice to set up a vulnerability management system. Vulnerability management is a practice that teams should integrate into the larger development process as it helps keep the software secure.

The internet is helpful, but it can also be dangerous. With cybercriminals on the hunt for your precious data and intrusive government agencies spying on the activities of everyday citizens, internet security and privacy have become a genuine concern. Your internet service provider has a front-row seat to all of your private browsing data, and they can monitor you, throttle you, and share that information at will. If this sounds like a gross invasion of privacy, you're absolutely right!

OpenSearch was created by the community for the community to continue to keep an open-source alternative to ElasticSearch and Kibana. The project has been hard at work for the last 1.5 years building, launching and iterating on this important initiative. Some remarkable milestones have been achieved, including over 5,800 stars on GitHub with 19 different community-led projects.

There is a common painful workflow with many observability solutions. Each data type is separated into its own user interface, creating a disjointed workflow that increases cognitive load and slows down Mean Time to Diagnose (MTTD). At Coralogix, we aim to give our customers the maximum possible insights for the minimum possible effort. We’ve expanded our APM features (see documentation) to provide deep, contextual insights into applications – but we’ve done something different.

According to Orca Security’s 2022 Cloud Security Report, 59% of respondents received over 500 alerts a day, with more than 42% of them being false positive alerts. And 62% of them said it has contributed to employee turnover. With numbers like this, it’s no wonder why developers dread the false positive alert. They waste time, energy, and money for everyone in every technology space, whether it is cloud or web services. It’s time to change that.

In this post, I want to scratch at the surface of a very interesting technology that Elastic’s Universal Profiler and Security solution both use called eBPF and explain why it is a critically important technology for modern observability. I’ll talk a little bit about how it works and how it can be used to create powerful monitoring solutions — and dream up ways eBPF could be used in the future for observability use cases.

Amanda and Chris share stories proving why your data really is more secure in the cloud than the average on-premises server closet – and what organizations should worry more about when it comes to data security.

According to one survey, 94% agree that AIOps is “important or very important” to manage network and cloud applications performance. AIOps intends to help customers contextualize humongous data volumes and streamline IT operations with automation. As IT infrastructure grows in complexity, alerts flood IT Ops centers and Ops teams drown in managing the deluge.