You’re Losing a Lot by not Merging Security with Observability

Security is one of the most crucial components for any organization to invest in today. With exponentially growing data volumes, quickshift to cloud, and organizations exploring and adopting new platforms and applications, security has become a developer problem.

“During the third quarter of 2022, approximately 15 million data records were exposed worldwide through data breaches, which is an increase of 37% over previous years” – Statista Research Department.

The figure stated above is alarming and only puts more pressure on organizations must put in tools and processes to get visibility into their entire stack to identify security anomalies. At the same time, there is a visible shift in convergence between security and DevOps teams as they collaborate more and more both during system failures as well as during application development.

So, the question now is: How can you bring about this convergence?

The Solution: Employ SIEM (Security Information and Event Management) + Observability!

SECURITY AND OBSERVABILITY: BETTER TOGETHER?

With so many applications operating within a business, how do you keep everything in your business up and running? Well, SIEM tools when combined with observability will help you understand what’s going on with all your endpoints and prevent cyber attacks that could potentially derail your business.

So how can Developers benefit from the convergence of security and observability?

Right now, it's typical for developers to have two separate tools in their stack. One for observability that gathers information from events and logs to gain timely insights into the functionality and performance of their application. The second tool for security monitoring, compliance and auditing.

While there are various tools that are specialized in SIEM and Observability, what would really benefit developers is a unified tool that can simplify workflows and help developers respond faster to security vulnerabilities.

Developers will be able to gain insights from realtime and past data trends and better manage application and infrastructure security. These insights are key to understanding the risks present in your stack and identify potential “unknown" dangers.

When combined with Observability, SIEM can offer several security and operational benefits.

Adopting a unified security and observability approach is the next best step that organizations can take to help developers deliver the best outcomes and best experiences for their customers and users. To help businesses do that, we have introduced a world-class SIEM solution integrated with observability in SnappyFlow.

Interested in exploring more? Schedule your FREE DEMO with us today!

What is trace retention

Tracing is an indispensable tool for application performance management (APM) providing insights into how a certain transaction or a request performed – the services involved, the relationships between the services and the duration of each service. This is especially useful in a multi-cloud, distributed microservices environment with complex interdependent services. These data points in conjunction with logs and metrics from the entire stack provide crucial insights into the overall application performance and help debug applications and deliver a consistent end-user experience.
Amongst all observability ingest data, trace data is typically stored for an hour or two. This is because trace data by itself is humongous. For just one transaction, there will be multiple services or APIs involved and imagine an organization running thousands of business transactions an hour which translates to hundreds of millions of API calls an hour. Storing traces for all these transactions would need Tera Bytes of storage and extremely powerful compute engines for index, visualization, and search.

Why is it required

To strike a balance between storage/compute costs and troubleshooting ease, most organizations choose to retain only a couple of hours of trace data. What if we need historical traces? Today, modern APM tools like SnappyFlow have the advantage of intelligently and selectively retaining certain traces beyond this limit of a couple of hours. This is enabled for important API calls and certain calls which are deemed anomalous by the tool. In most troubleshooting scenarios, we do not need all the trace data. For example, a SaaS-based payment solutions provider would want to monitor more important APIs/services related to payments rather than say customer support services.

Intelligent trace retention with SnappyFlow

SnappyFlow by default retains traces for
SnappyFlow by default retains traces for
HTTP requests with durations > 90th percentile (anomalous incidents)
In addition to these rules, users can specify additional rules to filter out services, transaction types, request methods, response codes and transaction duration. These rules are run every 30 minutes and all traces that satisfy these conditions are retained for future use.
With the built-in trace history retention and custom filters enabled, SREs and DevOps practitioners can look further to understand historical API performance, troubleshoot effectively and provide end-users with a consistent and delightful user experience.
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