In an evolving world, the modernization of the security operations center (SOC) is pivotal to the success of digital transformation initiatives. Security teams, however, are facing a shortage of cybersecurity professionals and struggling to detect and prioritize high-priority threats. Analysts in data-driven organizations can combat these issues by bringing people, process and technology together.
If you’re new to the Dashboards Beta app on Splunkbase and you’re trying to get started with building beautiful dashboards, the "Dashboards Beta" blog series is a great place to start. This Dashboards Beta app brings a new dashboard framework, intended to combine the best of Simple XML and Glass Tables, and provide a friendlier experience for creating and editing dashboards.
OpenTelemetry — the merger of OpenCensus and OpenTracing — appeared in May of 2019, led by companies like Omnition (now a part of Splunk), Google, Microsoft, and others who are pushing the curve on observability. OpenTelemetry is a project within the Cloud Native Computing Foundation (CNCF) that has gathered contributors and supporters far and wide, becoming one of the most active projects found in open source today. It’s currently #2 behind only Kubernetes!
Driven by digital market shifts, organizations are adopting cloud and cloud-native technologies to deliver a better end-user experience, scale efficiently — both up and down —and increase innovation velocity. While distributed cloud architecture brings agility, it also brings operational complexity. Therefore, developing effective observability practices is all the more important for delivering a flawless end-user experience for cloud applications.
The number of cyberattacks launched on organizations continues to rise every year. More attacks means more security alerts that security analysts have to triage each day. Many security teams have turned to a security orchestration, automation and response (SOAR) tool to help them automate the ever-increasing volume of security alerts, and respond to threats faster and more comprehensively.
Metrics and logs go together like cookies and milk. Metrics tell you when you have a problem, and logs/events often tell you why that problem happened. But it’s always been harder than it needed to be to get both types of data onto a single screen, especially when the sysadmins using the tools aren’t necessarily daily experts in managing those monitoring platforms.
It’s a metaphor that would have been impossible to decode even a decade ago: a Command and Control environment where essential data flows as quickly and intuitively as a map on Uber or Lyft. It’s a way of imagining efficient access to up-to-the-minute mission-relevant information, so that any sensor can make useful intelligence available to any device or effect, on a single screen, in time to make a difference.
When the coronavirus pandemic hit Asia-Pacific back in January, no one knew what to expect. As the first region to grapple with the questions and uncertainties that the virus presented, leaders had to process the new reality and spring into action at record speed. While navigating the shifting landscape has been a unique journey for all organizations, a few things have proven to be consistent.
In today’s digital world, every transaction is logged to give businesses endless amounts of functional data, and there is near-universal agreement that data insights will be integral to the success of businesses in the future. There is undoubtedly a need for a more data literate workforce.
In a post-pandemic world, we must use data in new ways. This in turn will require new discussions about, and practices creating, trust and transparency. The necessity of data and its benefits will be weighed against legitimate concerns of misuse of data.
