Operations | Monitoring | ITSM | DevOps | Cloud

Data Visualization Tools For InfluxDB: Grafana, Tableau, and Apache Superset

Integrating data visualization tools with databases like InfluxDB is crucial for developers looking to enhance analytical capabilities and derive actionable insights from complex datasets. Grafana, Tableau, and Apache Superset—all of which you can use with InfluxDB—are popular visualization tools with different features and benefits.

5 essential resilience tests for a successful cloud migration

Part of the Gremlin Office Hours series: A monthly deep dive with Gremlin experts. Migrating to the cloud usually means faster deployments and easier scalability, but it also means latency. Cloud applications communicate over distributed networks, and while these networks are fast, little bits of latency can quickly add up.

Understanding Device Management and Security in the Remote Work Era

Understanding Device Management and Security in the Remote Work Era The discussion delves into device management and security, highlighting the shift in management functionalities due to the increase in endpoints and remote workforce. It underscores the importance of securing devices and data, visibility, and cost optimization. The zero trust security model is introduced, emphasizing verification at multiple levels. The capabilities of Avanti EEM in managing various operating systems and devices are also explored.

Optimizing IoT Development: Key Takeaways from the 2024 Industry Report

Listen to VDC Research’s Executive Vice President, Chris Rommel, as he dives into the 2024 State of IoT Software Development Report. He breaks down the data collected from over 775 professionals directly involved in IoT and embedded electronic systems and shares key insights to guide your software development processes.

The Best Cloud Data Management Tools to Manage Business or Enterprise Data

Cloud data management tools have become essential for businesses and enterprises looking to optimize their data storage, backup, and analytics. These tools help businesses handle growing data lakes or warehouses. In this blog, we’ll explore cloud data management tools, how they work, and why they are vital for modern businesses. We'll cover key functions such as data storage, backup and recovery, and integration and highlight the popular cloud management tools.

Managing Vendor Incidents: Customer Impact That Isn't Your Fault

One of the first key tenets of cloud computing was that “you own your own availability”, the idea being that the public cloud providers were making infrastructure available to you, and your organization had to decide what to use and how to use it in order to meet your organization’s goals. The cloud providers have no knowledge of your applications or their KPIs.

3 Ways Effective Data Management Supports Cyber Resilience

Global organizations are having increasingly critical discussions around the importance of cyber resiliency, an organization’s ability to withstand, respond to, and recover from cyber incidents. With the frequency of cyberattacks growing 30% since last year and the total estimated fallout of cyber 2024 cyberattacks charted to surpass $9.5 trillion, ensuring effective cyber hygiene and resiliency strategies is more important than ever.

Elastic Observability 8.15: AI Assistant, OTel, and log quality enhancements

Elastic Observability 8.15 announces several key capabilities: New and enhanced native OpenTelemetry capabilities: Elastic AI Assistant enhancements: Large language model (LLM) observability for Azure OpenAI: Elastic Observability now provides deep visibility on the usage of the Azure OpenAI Service. The integration includes an out-of-the-box dashboard that summarizes the most relevant aspects of the service usage, including request and error rates, token usage, and chat completion latency.

Elastic Search 8.15: Accessible semantic search with semantic text and reranking

In 8.15, great search results are even more accessible for our customers. Our latest release brings semantic reranking, additional vector search tools, and more third-party model providers and promotes our native Learning to Rank (LTR) to generally available. And now search is more performant than ever with additional speed and efficiency improvements.