Operations | Monitoring | ITSM | DevOps | Cloud

Sponsored Post

AI for Customer Support and Why You Need It

Providing exceptional customer support has become a key differentiator for businesses. Customers expect quick and personalized solutions to their queries and issues. To meet these expectations, organizations are turning to Artificial Intelligence (AI) for customer support solutions. AI technologies, such as Generative AI, have revolutionized the way companies interact with their customers, streamlining support processes, and delivering superior customer experiences. In this comprehensive guide, we will explore the significance of AI for customer support, its various use cases, how to implement it, the role of Generative AI, and the barriers to overcome for its successful adoption.

Azure API Management monitoring

Azure API Management is a Microsoft Azure cloud-based solution that helps businesses effortlessly create, publish, secure, and analyze APIs (Application Programming Interface). APIs are the building blocks of any business and play an essential role in data exchange. Azure API Management monitoring is vital to enable the business to function seamlessly. It helps early problem detection, resource optimization, and data-driven decision-making to increase the quality of the API ecosystem.

What Are S3 Lifecycle Rules And When Should You Use Them?

Amazon Simple Storage (S3) has become a cornerstone in the world of cloud computing, offering scalable and secure object storage solutions for a wide range of applications. However, as data accumulates over time, managing it in an efficient manner becomes a challenge. This is where S3 Lifeycle Rules shine. These rules allow us to automate the transition of data between different storage classes and even schedule automatic deletions, which allows users to optimize costs and operational efficiency.

Field Data vs Doc Values | Understanding Elasticsearch Performance Issues

🚀 Dive into the world of Elasticsearch performance with our expert at Sematext! In this insightful conference talk, we explore the crucial differences between Doc Values and Field Data, shedding light on the best practices for optimizing your Elasticsearch clusters. Discover how the choice between Doc Values and Field Data can significantly impact your Elasticsearch queries, indexing, and overall system efficiency. Gain the knowledge and insights to supercharge your Elasticsearch deployments.

GenAI in production: how we built AI into CircleCI

In this episode, you’ll learn how to empower your team to do the most challenging thing when it comes to AI - getting started! Rob is joined by Kira Muehlbauer and Ryan Hamilton, two engineers who worked on building a groundbreaking feature at CircleCI called the AI error summarizer. Discover their insights into the process of building AI products, the challenges they faced, and the valuable lessons they learned along the way.

Introduction to Grafana Plugins

Grafana is a powerful open-source platform for monitoring and observability, but what truly makes it shine are its plugins. For technology engineers looking to expand Grafana's capabilities, plugins are the way to go. In this post, we'll dive into the world of Grafana plugins and offer some unique tips to get the most out of them.

Unlocking Observability - Dive into OpenTelemetry's Top Use Cases

OpenTelemetry can be used for generating and collecting telemetry signals like logs, metrics, and traces. The advantage of using OpenTelemetry for observability is that it is open-source and frees you from vendor lock-in. You can use OpenTelemetry for multiple use cases OpenTelemetry is an open-source project which has emerged as the standard for achieving comprehensive observability in modern applications.

Monitoring systemd logs with Netdata using the systemd journal Function

The systemd journal plugin by Netdata makes viewing, exploring and analyzing systemd journal logs simple and efficient. It automatically discovers available journal sources, allows advanced filtering, offers interactive visual representations and supports exploring the logs of both individual servers and the logs on infrastructure wide journal centralization servers.