Operations | Monitoring | ITSM | DevOps | Cloud

As the growth lead of an open-source APM tool, I keep interacting with developers from companies of all shapes and sizes. I recently talked with a developer from a fintech startup in India. The startup provides a payment processing platform that enables businesses to accept payments from customers worldwide. For them, monitoring is critical, but the dev shared how limited they were when exploring an APM tool for their application. The reason? Reserve Bank of India.

Internet-of-Things (IoT) devices and technologies have penetrated into our life. Nowadays, we can easily find IoT devices around us. Home appliance manufacturers produce IoT products for smart homes. Car makers invest in smart vehicles that can communicate with other smart cars and IoT objects nearby. Governments allocate huge resources to build smart cities with IoT technologies to improve the quality of life for people and promote economic growth.

Most companies overspend on cloud services. Many factors contribute to this problem, and while organizations know that their cloud budgets are bloated, they still struggle to reel in those costs. Are they implementing the tools and processes to track their cloud costs effectively? And are they adopting controls to instill discipline and accountability in their cloud spending habits? We explored these questions in our latest State of Multi-Cloud Management research report.

Monitoring an enterprise network is challenging for two reasons: the size of the network and the distributed architecture it follows. In the distributed model, branches spread across the globe, requiring a centralized monitoring solution. As the business grows, more devices will be added to the network, meaning your enterprise monitoring tool must be able to scale to match the performance requirements.

Downtime can be a nightmare for any online business. As the digital landscape continues to expand, the importance of maintaining a reliable and stable online presence has never been greater. While most businesses recognize the direct costs associated with downtime, such as lost revenue and productivity, there are hidden costs that can have a lasting impact on your business.

DevOps has become the dominant software development and deployment methodology over the past decade. In Atlassian’s DevOps Trends Survey, over half of the respondents said that their organizations had a dedicated DevOps team and 99% of respondents indicated that DevOps had a positive impact on their organization. In addition to DevOps teams, many have implemented Platform Engineering as a discipline, or designing technology platforms as a foundation for developers to build and deploy applications.

Monitoring tools, also known as observability solutions, are designed to track the status of critical IT applications, networks, infrastructures, websites and more. The best IT monitoring tools quickly detect problems in resources and alert the right respondents to resolve critical issues. Response teams use observability solutions to gain real-time insights into resource availability, stability and performance.

We recently introduced the LogicMonitor Exporter which is now a part of OpenTelelemetry Collector Contrib distro. This allows you to bring your collector for streaming telemetry data from your environment to LM Envision, LogicMonitor’s hybrid and multi-cloud monitoring platform. LogicMonitor associates the exported logs and traces from a single OpenTelemetry collector to simplify your application’s operations and troubleshoot issues.

Logs often contain sensitive data, including personally identifiable information (PII) such as names, email addresses, and phone numbers. To maintain security and comply with data protection regulations, it’s crucial to mask this data before storing it in your log analytics tool. BindPlane OP streamlines this process with the Mask Sensitive Data processor, ensuring your logs are safe and compliant.