Record keeping tasks such as data retention and disposal are an essential part of business management and regulatory compliance. At its core, data retention is about data control—meaning that an organization has taken steps to identify data throughout its organization, and then assess its importance, determine how long it will keep it, and then dispose of it.
2018 was a busy year for the ManageEngine IT operations management team. We tackled everything from major concerns like poor network performance, security, cost, enterprise growth, configuration management, and vendor lock-in to enterprise-specific issues such as providing uninterrupted connectivity to critical apps and departments, managing BYOD policies, and predicting future bandwidth needs.
Loki and Grafana are a perfect match. The backend is kept lean and space-efficient, while the user interface allows ad-hoc field parsing and simple statistics. This post details some of the UX goals we had to deliver logs simpler and faster.
Learn how to create a hybrid Kubernetes registry for any application deployed on any cluster managed by Rancher and JFrog Artifactory.
The future of performance monitoring could involve AIOps. Learn more about what the term means, how it impacts the enterprise, and read about use cases.
A little more than four years ago, Anodot started applying advanced AI/ML and unsupervised learning technologies to simplify monitoring challenges for DevOps teams. Today our company has customers from a variety of verticals and departments harnessing our unique platform to monitor business health, user behavior, product usage, IT ops, machine learning processes and even IoT.
There’s no dearth of project management tools available in the online market. Such tools enable top management keep track of all their projects, create and track tasks and teams, and analyze their progress through reports and charts. But there’s one thing missing from most modern project management tools; and that is that they don’t take the developer angle into consideration.
Multi-cloud is a cloud computing strategy that uses two or more different cloud services. This can be a combination of Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), or Infrastructure-as-a-Service (IaaS) solutions running in a public or private cloud environment. Multi-cloud offers a number of benefits including greater reliability and availability, less vendor lock-in, and potentially lower costs.
Think back to your last team meeting. Did you get in everything you wanted to say? Did that one rambunctious teammate jump in before you could finish your killer point? We’ve all been there. It feels like crap, right? Yet, the truth is that how it makes us feel is only part of the story. There’s also the not-so-trivial matter of how being ignored or talked over in meetings limits the entire group’s performance.
Already have a monitoring service with your current host? Does your plan include Amazon CloudWatch, Azure Monitor or another proprietary monitoring tool? You might want to check the fine print. These services often provide internal web monitoring only. While they may check HTTP availability from locations outside their network, HTTP checks alone are not sufficient.
