Operations | Monitoring | ITSM | DevOps | Cloud

Code, deploy, repeat. As a developer, your days are a whirlwind of Git commits, pull requests, and CI/CD pipelines. In the rush to ship new features and hit those sprint goals, it's easy to overlook the less glamorous aspects of software maintenance. But one often-neglected practice could be the difference between a stable, secure system and a compromised system. Enter patch management, a key DevOps tool in your arsenal to safeguard your systems.

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.

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.

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.

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.

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

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

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.

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.

As our world becomes more connected through the internet and networking, it’s important to understand how devices communicate with each other via network protocols. So what are network protocols? In essence, network protocols are established sets of rules that determine how data is transmitted between different devices on a network. They provide common languages that allow devices to exchange information reliably, regardless of differences in their internal structures, processes, or standards.