Operations | Monitoring | ITSM | DevOps | Cloud

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The Secret to Enterprise Observability: Automation & Configuration Management

Computing environments are more dynamic, distributed, and complex than ever. Observability tools help collect, monitor, and interpret the data they generate — like logs, metrics, and traces — to give IT teams and leaders real-time insights that can help detect issues, troubleshoot solutions, and improve the reliability of their IT systems. But observability tools can’t do their job without a strong infrastructure foundation and the right tools to manage it.

A CISO's comprehensive breakdown of the Cyber Resilience Act

Strong, wide-reaching regulation can bring safety to communities – but it can also bring uncertainty. The Cyber Resilience Act (CRA) has proven no exception to this universal rule. Across the open source community and the wider tech landscape, people have been greeting the news with the whole spectrum of reactions: concern, anxiety, hope. But is there anything to fear? Does the CRA really change things in open source? And how should your teams be preparing for this legislation?

Real World Observability AI: An Interactive Chat with Logz.io IQ Assistant

Deep dive into the different use cases and applications for Logz.io IQ Assistant. See how Logz.io's AI-based observability insights are enabling teams to efficiently and effectively tackle common observability hurdles including rising costs and troubleshooting times.

Unlocking the Power of Data: How a Data-Driven Approach Fuels the Path to Autonomic IT

As technology evolves and IT systems become too complex for humans alone to manage, enterprises need to work towards an autonomous business model. This state – known as “Autonomic IT” – unlocks the transformative potential of automation and generative AI to help businesses resolve issues faster, minimize customer interruptions, and drive innovation. However, achieving an Autonomic IT state is not a simple plug-and-play process. It is a gradual evolution, a journey.

Monitoring AWS Lambda Node.js Functions with OpenTelemetry

When deploying a Node.js function in the cloud, you might initially think of traditional methods involving web servers and other infrastructure. However, if your application suddenly faces a surge in traffic—thousands or even millions of requests—it could crash if it's unable to handle the load. This is where AWS Lambda shines. AWS Lambda allows developers to run code without provisioning or managing servers.

20 Technology in the Workplace Statistics, Trends, and Predictions

Advanced technologies are reshaping how businesses operate, from facilitating remote work to enhancing employee productivity. By understanding today’s trends, businesses can better prepare for the future of work, optimize their operations, and stay competitive in an increasingly digital world.

Monitor your AWS generative AI Stack with Datadog

As organizations increasingly leverage generative AI in their applications, ensuring end-to-end observability throughout the development and deployment lifecycle becomes crucial. This webinar showcases how to achieve comprehensive observability when deploying generative AI applications on AWS using Amazon Bedrock and Datadog.

"Secret" elmah.io features #5 - Breadcrumbs leading up to errors

It's time for a new post in the series about "secret" elmah.io features. This is the series where I highlight features that some of you may already know while others don't. For today's post, I want to highlight a feature that turns 3 years old this week: Breadcrumbs. Breadcrumbs is a built-in feature in all of our client integrations and the UI. Debugging what went wrong is often a lot easier by providing a logged error with a list of breadcrumbs leading up to an error.