Operations | Monitoring | ITSM | DevOps | Cloud

AI-Powered Fuzzing: The Future of Automated Application Security Testing

Increasingly complex code, evasive attackers, and other factors make application security essential during and after app development. Throughout the process, developers should be testing the application for bugs and security vulnerabilities to protect against downtime, whether that downtime is caused by unintentionally problematic inputs or deliberate attacks.

The Growing Role of Data Science in Technology

Have you ever wondered how your favorite apps predict what you want to watch or buy? In today's world, data drives much of what we experience in technology. From smartphones to smart cities, data science shapes how tools, systems, and services are built and improved. As technology advances, data becomes even more critical in solving problems, improving efficiency, and enhancing user experiences. In this blog, we will share how data science plays a key role in shaping the technology of today and the future.

What is Agentic AI? And why does it matter in IT service management and ITAM?

When embarking on a new digitalisation project today, people expect more than just the basics, such as security, functionality or choosing a trusted brand. They're looking for tools that offer a personalized experience and smart automations. This is especially true for service desks and IT management platforms, where automating repetitive tasks and tailoring the experience to users really matter. AI agents are a great solution for this. They can handle tasks on their own, make processes smoother, boost efficiency, and save money.

AI Agent RCA on Alerts: Get the Info You Need, Fast

A critical component of any monitoring and observability system is alerting. But alerts in and of themselves aren’t enough—when something goes wrong, time is of the essence, and your team needs to figure out not just what’s going on but how to fix it, and fast. Additionally, constantly chasing down alerts can be the bane of any observability practitioner’s existence.

PagerDuty's AI-First Future with AWS: Key Announcements at AWS re:Invent 2024

At AWS re:Invent 2024, PagerDuty is strengthening its long-standing partnership with Amazon Web Services (AWS). Together, we’re launching new AI and automation tools to enhance operational efficiency and help teams deliver superior customer experiences. With a plugin for Amazon Q, and integrations with Amazon Bedrock and Amazon Bedrock Guardrails, PagerDuty Advance is redefining what it means to respond to incidents faster and smarter.

The Rise of DevOps Copilots: A New Era of Automation and Intelligence

As the demands of modern software development continue to grow, so too does the complexity of DevOps. To keep pace, many organizations are turning to AI-powered assistants that help manage infrastructures, streamline pipelines, and automate repetitive tasks. These assistants are known as copilots, and they promise to enhance productivity while reducing operational overhead. But not all of them are created equal.

Monitor your OpenAI LLM spend with cost insights from Datadog

Managing LLM provider costs has become a chief concern for organizations building and deploying custom applications that consume services like OpenAI. These applications often rely on multiple backend LLM calls to handle a single initial prompt, leading to rapid token consumption—and consequently, rising costs. But shortening prompts or chunking documents to reduce token consumption can be difficult and introduce performance trade-offs, including an increased risk of hallucinations.

Reliable AI models, simulations, and more with Gremlin's GPU experiment

Note This blog uses “GPU” to refer to the entire processing circuit, including the GPU processor, video memory, and other supporting hardware. ‍ Artificial Intelligence (AI) has become one of the biggest tech trends in years. From generating full movies to updating its own code, AI is performing tasks that were once science fiction.

The future is now, introducing Dynamic Observability from AI innovations built on logs

A year ago, I shared my thoughts at re:Invent, explaining why I joined Sumo Logic as CEO and laid out the importance of logs as a key differentiator. A year later, the atomic level of logs is even more paramount. It’s not just because Sumo Logic is years ahead in technology when it comes to ingesting and analyzing structured and unstructured logs.