Operations | Monitoring | ITSM | DevOps | Cloud

Cloud Connect offers a secure, reliable, dedicated connection between your organisation’s IT infrastructure and the cloud computing services it uses. It provides simple, seamless access to the cloud. If your organisation uses cloud applications, Cloud Connect is a technology you should seriously consider. To help you with that, here we explain what Cloud Connect is, how it works, and the benefits it could offer you.

Hybrid work models have taken center stage as the new norm for global enterprises, and Microsoft Teams has become the leading collaboration platform to keep hybrid and remote teams connected and collaborating. However, as return to office has grown, the Teams user experience in the office hasn’t been as solid as it was for many employees at home, with friction in the user experience resulting from in-office network constraints.

The managed service provider (MSP) model delivers tremendous value for clients. They benefit from expertise and implementation that would be difficult and cost-prohibitive to build and manage themselves. The MSPs take on those responsibilities, which means they are on the hook for delivering the services to their clients in an effective and efficient manner.

Effective network monitoring and management are essential for maintaining optimal performance and ensuring business continuity in today’s complex IT environments. One of the key tools for achieving this is the Simple Network Management Protocol (SNMP), which can be used with SNMP polling or SNMP traps.

As of 2023, 89% of companies are using a multi-cloud approach. The race to the cloud might feel truly like that – a race – but the finish line isn’t hybridization or even a full migration. Even after you’ve made it to the cloud, there’s still more work. Namely, determining cloud costs. Microservices, containers, Kubernetes made resource costs, associated costs and more are near-impossible to sort though.

Rules are excellent when you know precisely what you want to match, typically based on experience. Yet rules only let you observe what you have learned to look for. This is where artificial intelligence (AI) and machine learning (ML) contribute significantly to observability – detecting errors and early warning signs that were previously unobservable. LM Envision supports metric and log anomaly detection. This blog discusses how LM Envision Log Anomalies uncovers previously unknown anomalies.

In today’s digital landscape, the performance and reliability of messaging systems are paramount for business operations. Systems like IBM MQ play a crucial role in ensuring seamless communication between different parts of an application, impacting everything from transaction processing to customer experiences. To optimize these systems, it’s essential to focus on robust monitoring, efficient troubleshooting, and effective tuning techniques.

Four years ago, we stepped on some big toes with our developer-first performance monitoring. Since then thousands of software teams have adopted our modern APM solution. But while Performance checks off a lot of boxes, some dev teams juggle separate tools for metrics, leading to a fractured experience. And honestly, what good is a metric without all the context you get from Sentry? Not very – it makes tying problems back to underlying errors or performance issues unnecessarily difficult.

Wherever end-user success is critical to a business, your website’s functionality needs diligent testing. Therefore web application monitoring is required for many organizations. Conducting web application monitoring can also offer a whole host of additional advantages to organizations. For example, tracking user interactions and behaviors within the web application aids your organization in understanding how users engage with your application.

Kubernetes has emerged as a pivotal force in shaping modern cloud infrastructure. Originating as a brainchild of Google, Kubernetes has evolved into an open-source platform that has revolutionized how applications are deployed, scaled, and managed across a vast network of machines. Its ability to orchestrate containerized applications efficiently makes it an indispensable tool within cloud computing. However, with great power comes great responsibility, particularly in the realm of cost management.