HEAL Software’s AIOps platform has firmly established as a leader in leveraging AI and machine learning to analyze alerts and events, correlating them with historical data and knowledge base to identify root causes with exceptional accuracy. This advanced root cause analysis significantly reduces Mean Time to Resolve (MTTR) and minimizes downtime, ensuring the reliability of IT systems. However, the real innovation comes with the HEAL Chatbot, which is more than just a conversational AI.

We are thrilled to announce the new SquaredUp Cloud plugin for the GripMatix Citrix Logon Simulator, bringing enhanced capabilities for monitoring, visualizing, and troubleshooting Citrix logon performance in real time.

Are you looking for a way to increase your AIOps signal to noise ratio and get more value from your data? In this article we will explore how one can utilize OpenTelemetry’s collectors, processors and data models to add or enhance classification attributes. These attributes can help you use your AIOps tools more efficiently and derive more value from your current data.

Master Prometheus remote write optimization. Learn queue tuning, cardinality management, and relabeling strategies to scale your monitoring infrastructure efficiently.

How to identify root spans in OpenTelemetry Collector using filter and transform processors.

Splunk and Dynatrace are popular monitoring tools widely used by businesses for tracking and monitoring data. Dynatrace is different from Splunk as it provides full-stack observability with AI-driven root cause analysis for applications, infrastructure, and user experience, while Splunk focuses primarily on log management and data analysis. Splunk can also be used for monitoring, including infrastructure monitoring, application performance monitoring, server monitoring, and continuous monitoring.

With our latest enablements, you can use ExpressRoute Metro and Megaport to reduce downtime, improve latency, and protect your bottom line. Downtime. Sunken costs. Missed deadlines. Compromised data. Poor latency. All of these problems have one thing in common (besides the fact that they strike fear in the hearts of network architects) – they’re consequences of a network with poor resiliency.

Embracing the cloud is crucial for organizations seeking flexible ways to store and manage applications and complex data without being tied to a local device and single location.

It’s day 1 of SigNoz Launch Week 2.0, and we’re releasing Ingest Guard, a feature that will help platform and finops teams have granular control over data ingestion and observability costs. At SigNoz, we are constantly evolving to meet the needs of modern engineering teams, and this launch week, we're excited to introduce a highly anticipated feature—Ingest Guard.

On 5th July 2024 the centre-left Labour party took to power in Britain, promising reform to the National Health Service (NHS). New Prime Minister, Keir Starmer, voiced 'an NHS fit for the future'. His manifesto? To cut waiting times, invest in new equipment and services, recruit extra staff and decentralise healthcare provision. Bold ambitions that come at a substantial financial cost. The headlines state funding will be found through a crackdown on tax evasion.