Last week, IBM and log data management startup LogDNA announced IBM Log Analysis. The service simplifies log management in the cloud to help developers spot issues quickly and reduce downtime.
Maximising productivity, time, and value
Companies are investing more time and resources in in managing, storing, and leveraging the power of their data. However, many businesses are still failing to maximise the value of this investment.
Any period of downtime can be incredibly harmful to businesses. As IBM asserts, in day-to-day business “every minute counts” when it comes to enhancing a company’s productivity and revenue.
Real-time insights are therefore crucial to data management. Possessing the ability to quickly locate the source of system faults is integral to gaining a deeper insight into application and cloud environment data.
The power of Log Analysis
IBM Cloud Log Analysis with LogDNA enables companies to develop a better understanding of their data. According to the IBM blog post, the service is “built to scale, reliable, and economical, whether your workload requires megabytes or terabytes of data per application.”
The collaboration combines IBM’s Log Analysis tool with LogDNA’s user interface. As a result, developers are able to aggregate log data across applications in the IBM cloud.
In addition to this, companies can avoid the need to oversubscribe for service continuity. IBM also claims that when a business is ready to grow, the tools will also “scale up.”
The service also integrates LogDNA capabilities such as Live Tail, multi-channel alerting, and natural language queries. Developers can therefore more easily query, filter and gain insight from their log data.
As a consequence, businesses can benefit from reduced performance issues and downtime. “As businesses’ application and cloud environments grow, they shouldn’t have to sacrifice service availability while the IT team processes vast quantities of log data,” LogDNA co-founder and CTO Lee Liu said in a blog post.
“IBM Cloud customers will now be able to find, debug and fix production issues in their applications faster than ever before so there’s no lag in service for the end users,” he added. Jason McGee, Vice President and CTO, IBM Cloud Platform also said that companies “can now more quickly gain insights from their increasingly complex cloud applications.”
It is evident that service disruption can be incredibly detrimental to a business – regardless of size or industry. More and more companies are therefore beginning to recognise and capitalise on this shift in the data economy.
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