Johan Dreyer, Field CTO, Mimecast joins Neha Kulkarni for a little serious and light-hearted conversation on the challenges and priorities of cyber threats and how to navigate these challenges. In this edition of Tech Talk, Johan discusses how the threat landscape is evolving in the backdrop of a hybrid workspace and the steps security teams can take to gain visibility into the state of remote endpoints. He also talks about the new-age tactics threat actors are implementing to execute a breach and building a security-first mindset.

In this video, we cover the key differences between SLA, SLO, and SLI defining each term and giving real world examples of how they differ. This video was brought to you by PagerTree. On-Call. Simplified. Transcript: SLA vs SLO vs SLI Whats the difference? In this video, we will define these terms, compare them to one another and give real-world examples of how they work.

Service Level Agreements, or SLAs, are essentially a promise or guarantee from the service provider to the customer. They outline the expected level of service, detailing the products or services to be delivered as well as the consequences for missing these service levels. SLAs are typically drafted by legal departments with insights from product managers and are designed to be customer-facing. It sets the stage for accountability and sets clear expectations right from the start.

In this video, Michael Stephenson demonstrates the anomaly detection feature in Turbo360, focusing on enhancements in cost monitoring. This feature allows users to easily identify deviations in Azure costs and receive alerts when anomalies occur. It simplifies configuration, enabling daily monitoring with alerts sent to specified channels. Anomalies can be detected at both high-level and granular levels, aiding in overall Azure cost management.

Welcome to the AI research bites. This series of short and informative talks showcases cutting-edge research work from ServiceNow AI Research team. The AI Research Bites are open to all, especially those interested in keeping up with the fast-paced AI research community.

How to improve your release quality by using Rollbar to detect new and reactivated errors from production, staging or qa environments. Go beyond crash reporting, error tracking, logging and error monitoring. Get instant and accurate alerts — plus a real-time feed — of all errors, including unhandled exceptions. Our automation-grade grouping uses machine learning to reduce noise and gives you error signals you can trust.

So what is MTTR? Mean time to resolution (MTTR) includes every step of the recovery process, from initial notice to root cause analysis to fix and deployment.

Azure cost monitoring - Create and manage budgets When it comes to managing costs in the Azure cloud, it is essential to have a reliable system that can help you keep track of your spending and alert you when you are getting close to exceeding your budget. This is where Turbo360's Budgets monitoring feature comes in. The Azure Budgets monitoring feature in Turbo360 is designed specifically for Azure cost monitoring. It allows you to create budgets for your Azure resources, monitor your spending, and receive alerts when you are approaching or exceeding your budgeted amount.

Discover, predict, and resolve errors in real-time. Go beyond crash reporting, error tracking, logging and error monitoring. Get instant and accurate alerts — plus a real-time feed — of all errors, including unhandled exceptions. Our automation-grade grouping uses machine learning to reduce noise and gives you error signals you can trust.

There are many different ways to implement Site Reliability Engineering (SRE). From team structures to roles and responsibilities to planning and prioritization flows, there’s no golden path for how to organize things. As Datadog has shifted from a startup to a quickly-growing public company, we’ve seen our own SRE practice evolve. With over 22,000 customers sending trillions of data points each day, keeping Datadog reliable is critical to our business.