The year 2020 was a tough one and tested the grit and resilience of the human race. Organizations across the globe had to prioritize the safety of employees, customers, and associates. The rapid response to COVID-19 has enabled millions to work remotely because of advanced cloud computing technologies supplied through public cloud services like Amazon Web Services (AWS) and Microsoft Azure.

Elastic moved from an open source license for Elasticsearch and Kibana to a “source available” (aka closed source) license. It was supposed to shut down SaaS companies, but what does it mean for Managed Security Service Providers? Managed Security Service Providers, or MSSPs, are a growing segment in the security business. These firms specialize in deploying security infrastructure, aggregating monitoring and event data, and proactively hunting threats.

System traceability is one of the three pillars of observability stack. The basic concept of observability is of operations, which include logging, tracing, and displaying metrics. Tracing is intuitively useful. Identify specific points in an application, proxy, framework, library, runtime, middleware, and anything else in the path of a request that represents the following of either ‘forks’ in execution flow and/or a hop or a fan out across network or process boundaries.

Many of us get sentimental about past projects we’ve worked on…for me it is a mobile dashboard that leveraged ML/AI to help a sales team make quicker decisions while in the field (nerdy, I know…but it was one of my first projects as a UX Designer when I was starting out my career, and I have many fond memories about this project). For many members of the team at Grafana Labs, that sentimental project is worldPing.

When PASS announced in December last year that it was ceasing all operations from January 16, 2021, it came as a surprise to many people. For 21 years, it’s represented a global community of over 300,000 data professionals who use the Microsoft data platform. From the PASS Summit to online learning, SQLSaturdays to opportunities to network, its’s been a permanent fixture throughout the year.

We are excited to announce that CFEngine is now using GitHub Discussions. GitHub Discussions is a feature of GitHub repos, and similar to Q&A platforms like Stack Overflow, and other online forums. After testing it out for a few weeks we are pleased with how it works and want to encourage all our users to try it.

High-level information and speedy configuration for the busy network administrator. If you want to respond to network issues quickly and promptly, you can’t waste time digging for information. So how can Flowmon 11.1 help?

Big data applications require distributed systems to process, store and analyze the massive amounts of information that companies are collecting. Apache Spark has become a go-to framework for this, powering use cases from AI and machine learning to data analysis, by providing a unified interface for distributing data processing tasks across a cluster of machines. Spark requires other services to manage the cluster, with YARN and Mesos as two well-known cluster management tools.

Kubernetes provides abstraction and simplicity with a declarative model to program complex deployments. However, this abstraction and simplicity create complexity when debugging microservices in this abstract layer. The following four vectors make it challenging to troubleshoot microservices.

The server operating system (OS) is dominated by two companies. Red Hat, the first one, dominates the open-source server market. While Windows, the second one, dominates the closed-source market. According to a 2018 study by T4, Microsoft controls 47.8% of the industry share, whereas Red Hat controls only 33.9% of the market. The remaining 18.3% is controlled by alternative server OSs. Windows server monitoring has become a hot topic.