Operations | Monitoring | ITSM | DevOps | Cloud

First off, what is synthetic monitoring? What if synthetic monitoring meant monitoring whether or not something is real or fake…watch out Kardashians! Jokes aside, no, synthetic monitoring doesn’t monitor celebrity plastic surgery decisions. Synthetic monitoring is a kind of website performance monitoring that simulates user interactions with a site. A great synthetic monitoring tool instantly alerts you when an issue is encountered.

How does one manage monitoring in the age of digital infrastructure as code? Also as code, of course! Combining HashiCorp Terraform Cloud and Checkly enables you to configure synthetic and API monitoring as part of your existing infrastructure codebase. It is flexible, programmable and will keep you out of maintenance hell, even at scale: it is monitoring for developers. Extending your existing Terraform Cloud configuration takes only two minutes. Let's take a look together.

In 2020, the concept of observability in IT operations gained mindshare as IT leaders looked for new ways to rein in the complexity that’s grown organically with cloud computing and rapid digitization. Observability differs from IT monitoring in that it focuses on the development of the application and rich instrumentation so that operators can ask meaningful questions about how the software works or is working in production.

In early October 2020, the Department of Defense released its long-anticipated and much needed Data Strategy. This strategy is the latest installment under the Department’s Digital Modernization Strategy, which was released in July 2019, and focused on the key strategic pillars of enterprise cloud adoption, artificial intelligence, command, control, communications, cybersecurity, and IT reform.

Incident management tools allow technology and security teams to resolve major incidents faster including urgent issues that may lead to businesses seeing application and site downtime affecting their users.

The events of 2020 — from the pandemic to the resulting mass quarantines — have been one of the most impactful societal events of this century. Nearly overnight, it has relegated hundreds of millions of workers to their homes, likely through much of 2021 and perhaps beyond.

Measuring your machine learning model will help you understand how well your model is doing, how useful it is, and whether your model can perform better with more data. This is what Algorithmia Insights — a feature of Algorithmia Enterprise MLOps platform — does. Algorithmia platform accelerates your time to value for ML by delivering more models quickly and securely, as it is estimated that 85% of machine learning models never make it to production.

Raygun’s Launch Notes are your regular round-up of all the improvements we made to Raygun last month — from significant features to performance updates.

In my ongoing Loki how-to series, I have already shared all the best tips for creating fast filter queries that can filter terabytes of data in seconds and how to escape special characters. In this blog post, we’ll cover how to use metric queries in Loki to aggregate log data over time.