Operations | Monitoring | ITSM | DevOps | Cloud

Splunk’s recent update to its Machine Learning Toolkit (MLTK) is a good reason to spend a few paragraphs thinking through the links between Observability and machine learning. First, let us quickly review what Observability and machine learning are.

With a slew of options at hand, choosing the best observability tools is challenging. Not to mention the strenuous task of researching the web, reading reviews, and scheduling demos to find the best option.

The cost of services is on everybody’s mind right now, with interest rates rising, economic growth slowing, and organizational budgets increasingly feeling the pinch. But I hear a special edge in people’s voices when it comes to their observability bill, and I don’t think it’s just about the cost of goods sold.

Elastic Observability is fast, simple, and built for the future Businesses everywhere are facing a challenging environment: increased cost pressures coupled with high volumes of data generated by complex, distributed, cloud-native environments. As a result, teams need smarter analytics, access, and retention across all their data — instantly and from anywhere — to resolve issues, make decisions, and ensure resiliency.

We are thrilled to be recognized with the 2024 EMA Allstars award. This award acknowledges Elastic’s focus on delivering a full-stack observability solution that provides unified visibility and AI-powered insights into complex hybrid cloud deployments. The EMA Allstars award celebrates trailblazers and innovators who are reshaping the enterprise technology landscape.

At ManageEngine, customers are at the heart of everything we do. That’s why we are excited to be recognized as a 2023 Gartner Peer Insights™ Customers’ Choice for Application Performance Monitoring and Observability. This year marks the fifth time we have been recognized with this distinction.

Good alerting hygiene consists of a few components: chasing down alert conditions, reflecting on incidents, and thinking of what makes a signal good or bad. The hope is that we can get our alerts to the stage where they will page us when they should, and they won’t when they shouldn’t. However, the reality of alerting in a socio-technical system must cater not only to the mess around the signal, but also to the longer term interpretation of alerts by people and automation acting on them.