Operations | Monitoring | ITSM | DevOps | Cloud

6 Tips to Prepare Your E-Commerce Site for the Biggest Holiday Traffic Surge Ever So it begins. No, we are not talking about the school year, the football season, or a dizzying array of television shows about zombies, detectives, and of course: zombie detectives (seriously, it’s a thing).

Legacy monitoring tools fall short for SRE teams and DevOps pros tasked with maintaining uptime of key applications in modern, cloud-based IT systems. To have visibility and control over these environments, these teams must collect and analyze more granular, underlying system information — observability data. This article explains why the only way for SRE teams and DevOps pros to extract the necessary insights from this data is through the application of AI capabilities.

In November 2018, chip manufacturer Broadcom announced the completion of its $18.9 billion purchase of infrastructure software company, CA Technologies. While CA’s enterprise software division has seen many changes after the acquisition, the products in their AIOps and Observability portfolio consist of operational intelligence, application performance management, network monitoring, and infrastructure monitoring.

As COVID-19 cases began to rise around the world in March 2020, governments and businesses had no choice but to take extraordinary measures to flatten the curve. As an IT leader, you were likely tasked with helping entire companies transition to remote work all at once. Cubicles were replaced by home offices. Face-to-face meetings were replaced by video calls. Work performance was measured by tasks completed instead of hours worked. Digital connectivity became more important than ever before.

We are in the midst of an unprecedented convergence of events that are forcing enterprises to dramatically change how they secure their modern businesses. With the acceleration of digital transformation from COVID-19, work-from-home initiatives, the continued growth of SaaS and the increasing adoption of microservices-based applications, the modern enterprise threat landscaping is transforming rapidly.

Kimberley Wadsworth gambled £36,000 in a fortnight, committing suicide shortly after the loss and leaving her mother homeless as a result. Kimberley Wadsworth started gambling in 2015, visiting brick-and-mortar shops and playing at online casinos. There was no one to promptly alert or save Kimberly from her dreadful destiny.

Working together successfully as a team — especially in this increasingly remote world — is all about collaboration. As part of that collaboration, it’s critical that team members have access to the files and programs they need to accomplish their jobs, and that access should be easily revocable for when employees change roles or leave the company. This is achieved through access control, which, simply put, defines who is allowed to access what.

Each year, I look forward to Now at Work. When you’ve been doing this as long as I have, though, you look forward to some years more than others. Fortunately, this is one of those years, and the reason why is right there in its name. Has there ever been a more exciting time to explore what’s happening now at work?

At InfluxData, we’re obsessed with time to awesome — how quickly can you start working productively with time series data? What can we do to make things better? InfluxDB Templates are a great example of this mindset. Back in April, we announced Templates as a way to package up everything you need to monitor a particular technology — Telegraf configurations and InfluxDB Dashboards, Tasks, Alerts, and related artifacts — into a single configuration file.

Some of you may have attended the recent webinar on how to simplify ticket remediation with ML-Powered Analysis. We’re thrilled to announce that we have packaged the new app shown in that demo – the Smart Ticket Insights App for Splunk – and it is now live on Splunkbase!