Operations | Monitoring | ITSM | DevOps | Cloud

Choosing an OpenTelemetry backend depends on several factors, such as your monitoring and observability requirements, current infrastructure, scalability needs, and budget constraints.

We're delighted to introduce our new Ingest API Keys, a significant step toward enabling all Honeycomb customers to manage their observability complexity simply, efficiently, and securely. Ingest Keys are currently available for Environment & Services customers, with Classic support and programmatic key management capabilities under development and coming soon!

In my role here at Splunk, I get the opportunity to speak to a number of our customers about the challenges they are facing in building and running these complex platforms that power today’s environments. And what’s more, is that the challenges are more or less the same.

Data-centric AI is the new frontier in AI, where the models themselves now remain stationary while tools, techniques and engineering practices improve data quality. As Andrew Ng puts it, “Data-centric AI is the discipline of systematically engineering data to build an AI system.”

One of the major trends in software development in the last decade has been “shifting left” responsibilities that have traditionally been under operation’s domain to earlier in the software development life cycle (SDLC). It first came in the form of DevOps where a lot of the software engineering best practices were introduced to the deploy, operate, monitor phases. Such examples include continuous integration and continuous deployment (CI/CD) and Infrastructure as Code (IaC).

Many companies are using cloud technologies to become more agile, scalable, and cost-effective during their digital transformation. However, this change brings new challenges in maintaining the security and performance of applications and infrastructure in the cloud. Security and observability go hand-in-hand.

At LogicMonitor, we are deeply committed to a mission that goes beyond the conventional: revolutionizing IT monitoring through hybrid observability powered by AI. This ambition is not merely a slogan but the cornerstone of our entire approach. Our LM Envision platform was purposely designed to bring together diverse IT environments under one seamless, integrated experience. Enterprises have complex IT ecosystems.

The utilization of cloud-based technologies developed to optimize and streamline business operations is far from a novel idea. In fact, research suggests at least 90% of modern organizations currently use cloud platforms and related technologies to oversee essential processes.

We at Komodor are excited to announce our groundbreaking integration with Cisco Full-Stack Observability (FSO). This collaboration marks a significant milestone in Kubernetes Continuous Reliability, bringing together the best of both worlds to redefine Kubernetes management.