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Analytics

Anodot - Autonomous Business Monitoring

Business metrics are notoriously hard to monitor because of their unique context and volatile nature. Anodot’s Business Monitoring platform uses machine learning to constantly analyze and correlate every business parameter, providing real-time alerts and forecasts in their context. Anodot reduces detection and resolution for revenue-critical issues by as much as 80%. We have your back, so you’re free to play the offense and grow your business.

See the Forest from Your Logs | IBM Logging Solution Log Analysis with LogDNA

IBM Log Analysis with LogDNA is an IBM Cloud service that provides hosted log management using LogDNA. It lets you collect, analyze, and manage logs in a central location without having to provision or maintain your own logging solution. You can forward logs from your IBM Cloud Kubernetes clusters, servers, and applications in as little as three steps. In addition, you can leverage the IBM Cloud to manage the service, set access controls via IAM, and even archive older logs to IBM Cloud Object Storage. When you provision an IBM Log Analysis with LogDNA instance, you get access to a LogDNA endpoint and web UI hosted on the IBM Cloud. Your logs are stored on the IBM Cloud itself, allowing you to colocate your logging service and applications for greater throughput and control. You get the full benefits of LogDNA—including fast log ingestion and searching, over 30 integrations and ingestion sources, and support for dozens of log formats—with the security and convenience of the IBM Cloud.

IBM Log Analysis with LogDNA

IBM Log Analysis with LogDNA enables you to quickly find the source of issues and gain deeper insight into application and cloud environment data. Easily aggregate and search application, and server logs within a single platform. Forward logs from IBM Cloud Kubernetes clusters, servers, and applications in as little as three steps. IBM Log Analysis with LogDNA is trusted by teams like IBM Cloud, The Weather Company, and IBM Watson.

Searching Jira: Enhanced productivity with Elastic Workplace Search

Jira has long been a popular issue tracking tool for development teams, but its scope has broadened quite a bit over the years, and it has bloomed into a more well-rounded project management tool as well. It’s used widely by agile teams to plan, track, and release software, along with numerous other cloud (and traditional self-managed) productivity tools.

Why the CEO Cares About Splunk

Evolving business themes come at us in waves. So far this millennium we have had The New Economy, The Cloud, and now Digital Transformation. Underpinning these themes are real, economically significant dynamics that drown out the bleating voices of pundits and cynics alike. The Internet is not a bubble, the cloud is not a fad, and digital transformation is, well, transformative. Let’s take a look at what that last one means for Financial Services.

Global Restart: CIOs Need to Simplify in the Face of Complexity

We have to get everyone back to work. The global restart of economies derailed by the coronavirus pandemic is challenging organizations across the board. And from one industry to the next, IT must be a central player in establishing a new normal. Organizations that had to entirely shut down facilities — retail stores, manufacturing plants, restaurants, theme parks — may particularly struggle to reestablish operations with new approaches that protect worker and customer health.

LogDNA | How to Create Screens

The Screens feature displays a series of widgets to share across an organization. Widgets can display log activity, from the number of logs ingested in the last 4 hours, to a line graph comparing today’s to yesterday’s log ingestion. Control the data displayed by customizing a “Screen” with a combination of different widgets, providing your organization with a snapshot of the system’s activity.

Independent Survey Reveals: Continuous Intelligence Demand Grows as Organizations Shift to Real-time Business

As the shift to cloud, modern app architectures and technology stacks continue to accelerate, the demand for real-time analytics to monitor, troubleshoot, secure and speed new innovations to these environments is also accelerating. So, we're not surprised to see demand for continuous intelligence—what we define as: real-time analytics from a cloud-native platform, supporting multiple use cases—is also accelerating.