The Rise of Observability Tools and Cloud Cost Management
As IT infrastructure spending has significantly increased to accommodate the growing demand for hardware devices, observability tools have emerged to help organizations better manage these devices. Similarly, the proliferation of cloud costs across the largest and best-known cloud vendors has led to a surge in vendors offering tools to manage these expenses. With the continued growth of Database-as-a-Service (DBaaS), customers are actively seeking ways to mitigate excessive cloud costs. These costs are variable and dynamic, with revenues for cloud services being a function of cloud CPU usage for query processing and cloud data for storage.
The Challenge of Cloud Costs for SMBs
Although cloud costs may be generally decreasing, the curve is discontinuous, and often, organizations are left with a hefty bill from the previous month. Small to mid-size businesses (SMBs) face the challenge of optimizing and controlling the variable compute and storage costs associated with analytical investigation activities. So, how can SMBs address this issue effectively?
Algorithmic Deduplication at The Edge with LogZilla
LogZilla is a value-driven and powerful log management tool that can be positioned at the front end of your IT stack. By algorithmically identifying and reducing duplicate events while maintaining full fidelity to record every event needed for compliance and remediation analysis, LogZilla ensures a clean dataset for more insightful analytic use cases. It empowers a proactive approach with real-time data normalization, triggers, filters, granular data rerouting to downstream receivers, self-healing automation, and alerts for mitigation and remediation.
LogZilla: Empowering Proactive IT Management
For small teams at SMBs or even larger medium-sized enterprises, it is essential to have a way to automatically find and repair known errors and incidents. Unknown problems must be brought to the forefront to enable the team to solve them efficiently, as there is little room for trial and error. LogZilla facilitates rapid remediation and cost reduction, allowing IT teams to focus on more strategic tasks.
Automatic Error Detection and Remediation for SMBs
LogZilla's advanced capabilities enable teams to detect and resolve errors automatically. This not only saves time and resources but also ensures that businesses can maintain high levels of performance without compromising on compliance or security.
LogZilla: Streamlining IT Operations and Reducing Cloud Costs
In an increasingly complex IT landscape, LogZilla's powerful log management capabilities can be a game-changer for small to mid-size businesses (SMBs) and larger medium-sized enterprises. By automating error detection and remediation, LogZilla not only streamlines IT operations but also helps organizations reduce cloud costs. This allows IT teams to focus on more strategic tasks, ensuring optimal performance and compliance while keeping the ever-growing cloud expenses in check.
Real-World Use Cases
- Insurance Industry: An insurance company utilizes LogZilla to manage logs from their policy management systems, customer relationship platforms, and other IT infrastructure components. LogZilla's deduplication and real-time analysis features significantly reduce cloud storage costs while ensuring compliance and efficient remediation, allowing IT teams to focus on supporting the company's core business activities.
- Rail Transport: A rail transport organization leverages LogZilla to monitor logs from their train control systems, communication networks, and other crucial IT components. LogZilla's proactive alerting and advanced filtering capabilities help the IT team quickly identify and resolve potential issues, reducing downtime and ensuring the smooth operation of the rail network.
- Agriculture Sector: An agribusiness implements LogZilla to manage logs from their precision agriculture systems, IoT devices, and other essential equipment. With LogZilla's advanced normalization and real-time analysis features, the IT team can proactively identify and resolve issues before they impact crop production or supply chain operations, leading to cost savings and increased efficiency.