Operations | Monitoring | ITSM | DevOps | Cloud

Tracing provides indispensable insights into the state and performance of distributed applications, but it can often be difficult to determine the root cause or ultimate business impact of issues indicated by traces. Translating visibility of individual microservices into broader performance insights often requires drawing complex correlations between spans. This can be a laborious process, which can complicate everything from troubleshooting and triage to tracking KPIs and managing costs.

Complex systems require many different monitors to assess the health of their infrastructure and applications, creating a wealth of alerts that can be hard to track. Due to a lack of effective triage processes, many organizations page engineers for every alert that comes in, making it difficult to separate false positives from issues that actually require immediate attention.

Imagine an AI assistant that could automatically surface a whole host of useful incident response data points with just a prompt. Well, you won't need to imagine for much longer. That's exactly what we built in Assistant, one of our newest features powered by AI. In this episode, you'll hear from Charlie, the project lead for Assistant, to get a peek behind this game-changing product.

Edge data centers are transforming the way we process and deliver data, catering to the skyrocketing demands of modern applications and services. The global edge computing market size was recently valued at USD 11.24 billion and is projected to expand at a compound annual growth rate (CAGR) of 37.9% from 2023 to 2030. By 2025, more than 75% of all enterprise-generated data will be created and processed outside of the traditional data center or cloud.

Database Administrators (DBAs) rely on time series data every day, even if they don’t think of time series data as a unique data type. They rely on metrics such as CPU usage, memory utilization, and query response times to monitor and optimize databases. These metrics inherently have a time component, making them time series data. However, traditional databases aren’t specifically designed to handle the unique characteristics and workloads associated with time series data.

Financial institutions handle vast amounts of sensitive and confidential data, including customer information, transaction details, and regulatory compliance records. A trusted database ensures the security and privacy of this sensitive information, protecting it from unauthorised access, breaches, or cyber threats. MongoDB is the ideal fit, and it’s one of the most widely used databases in the financial services industry. It provides a sturdy, adaptable and trustworthy foundation.

In today’s digital workplace, SharePoint Online is indispensable for collaboration, information sharing, and content management. The challenge for many organizations lies in effectively managing this vast amount of data to ensure optimal performance.

The Sysdig 2024 Cloud‑Native Security and Usage Report highlights the evolving threat landscape, but more importantly, as the adoption of cloud-native technologies such as container and Kubernetes continue to increase, not all organizations are following best practices. This is ultimately handing attackers an advantage when it comes to exploiting containers for resource utilization in operations such as Kubernetes.

Reporting and analytics dashboards provide enhanced visibility into your data and the ability to view your most critical metrics via a single source of truth. By using dashboards, your team can easily highlight issues or areas of concern and promptly begin addressing them utilizing the real-time data that a dashboard provides. As well as this they can be utilized to drive data-driven decisions for your organization, enabling greater accuracy for decision-making to drive growth.

Amazon Web Services (AWS) has emerged as the leader in cloud computing. As the dominant cloud service provider, AWS offers a vast array of solutions encompassing computing power, storage options, and networking capabilities to businesses across the globe. Its popularity stems not only from its comprehensive services, but also from its scalability, allowing businesses of all sizes to expand their cloud footprint without unprecedented ease and flexibility.