What the Convergence of Observability and Security Means for Devs
A similar scenario plays out at many organizations when they examine security and development practices. When it’s time for code to go into production, every developer hopes their code will run as planned - smoothly and error-free. Unfortunately, something will be missed, performance could degrade or new, unanticipated problems can emerge after an application is deployed to production.
Developers fear the “unknown unknowns.” And it keeps them up at night.
When an “unknown unknown” problem occurs, it takes time for teams to do the forensics to identify the problem. It can take days or even weeks for teams to complete that initial investigation. If a mission-critical application is offline for a significant period of time due to a forensics investigation, then it can negatively affect your customer’s experience and, ultimately, your organization’s bottom line.
The “unknown unknowns” problem is another challenge facing developers in today’s unpredictable macro environment. That includes the deluge of data, increasing cyberthreats, an increasingly distributed infrastructure and a remote and hybrid workforce as well as a mix of modern cloud-native and monolithic apps.
To help developers build for the future and address security concerns, it is imperative they rethink the way they are collecting, operationalizing and storing different types of data from a variety of sources.
Security and Observability: Better Together
Today, security and observability have recently begun to overlap, driven by the growing need for organizations to better understand the activity inside their environments. Many forward-thinking organizations are operationalizing the massive amounts of log and event data currently being generated to understand and assess issues in their infrastructure and apps and using these actionable insights to optimize workload, app resource availability, security and uptime.
So how can developers take advantage of the security and observability convergence trend happening right now?
Currently, it’s common for developers to have two agents as part of their tech stack. One agent for observability, which is collecting data such as logs and events to get relevant insights into the health and performance of their application in real-time. The other agent is for security to collect data in their devtest, integration and production environments.
Since these two agents often collect the same data, there is an opportunity to consolidate it into a single location, such as a unified security platform with a single agent, where this data can be overlaid with time series analytics to deliver relevant insights to users. Using this approach of having both security and non-security data in one place will significantly speed up the process of getting these valuable insights into the developer’s hands.
In addition to getting insights faster, another benefit of having this data in a single location is the ability to access historical data. Giving developers the ability to store and manage data for long periods of time allows them to get insights from this historical data, so they can better understand alerts, incidents and adversaries. This can help them correlate in terms of understanding the risk to an application, such as potential “unknown unknown” threats, which they can proactively address before it causes any damage.
Adopting a converged security and observability approach is the most mature step that organizations can take to help developers deliver the best outcomes and best experiences for their customers and users. As more organizations rely on the cloud and the speed of business rapidly increases, developers must transform their view of the health, performance and security of applications and infrastructure. Giving developers this perspective will dramatically help them take rapid action against an adverse event before it impacts their company’s bottom line.