Operations | Monitoring | ITSM | DevOps | Cloud

Last year’s IDC’s Cloud Security Survey found that nearly 80 percent of companies polled have suffered at least one cloud data breach in the past 18 months.

A look at outages and disruptions to the IT systems that power the Olympics, from 1996 to today.

SquaredUp helps customers create dashboards that connect the dots. They do this by assisting users in visualizing and sharing data. And, for the most part, they do this by displaying in dashboards what is happening now. Of course, some visualizations show some historical values or whatnots, but tiles like the WebAPI tile only display a specific value at one particular moment in time. But have you ever wanted to “see” what your application looked like right before an outage?

As the adoption to cloud expand, subscribing and provisioning resources increases day by day. Enterprises have multiple strategies to implement their cloud deployments: single cloud, private cloud, multi-cloud, or hybrid cloud. There is a need to analyse and assess on regular basis to keep a watch on the usage to ensure expenditure on the cloud resources are efficient and there is no wastage. There are various possibilities but will need some level of technical competence and regular maintenance.

In any integration solution, when many Azure services come together to communicate with each other, there is a need for the organizations to build an end-to-end traceability/monitoring solution that can be used by the business users and IT support. Perform end-to-end message tracking and capturing necessary data on business process flow across Azure resources and hybrid integrations. Consider an organisation that has a well-defined Employee Onboarding process.

I recently had the pleasure of hosting a webinar with the team over at Rudderstack. It focused on Data Engineering and managing dynamic schemas at scale. More specifically, Rudderstack-generated, dynamic schemas at scale. This blog will discuss the tools, software, and methods to do just that.

In the ScienceLogic webinar, “Clearing the Path for Automated Operations,” we look at how one global technology organization got their IT house in order through the application of AIOps and a strategic approach to implementation, based on ScienceLogic’s AIOps Maturity. ITOps teams are overloaded with manual, repetitive work that creates management bottlenecks and takes time away from new projects.

In a never-ending game of cat and mouse, threat actors are exploiting, controlling and maintaining persistent access in compromised cloud infrastructure. While cloud practitioners are armed with best-in-class knowledge, support, and security practices, it is statistically impossible to have a common security posture for all cloud instances worldwide. Attackers know this, and use it to their advantage. By applying evolved tactics, techniques and procedures (TTPs), attackers are exploiting edge cases.

Every database administrator (DBA) is—first and foremost—human. And everyone makes mistakes. It’s not the absence of mistakes but rather how you prepare for those mistakes that makes you a great DBA. Luckily, there are many ways to prepare for those mishaps, whether the errors are made by you or someone else on your team. One commonly made mistake is to drop an object in a database or accidentally delete data.

In the internet-driven economy, businesses rely on applications for different functions in the customer, partner, and employee spheres. Over the years, such applications have become more functional, faster, and user-friendly. However, end users still encounter slow loading pages, transaction failures, and esoteric error messages. These errors cause inconvenience to the users and lead to significant financial and reputational losses.