Get the premiere industry report that quantitatively defines the state of the modern application stack and the shift in technology used by enterprises adopting Cloud and DevSecOps. Cloud Architects, Operations/DevOps teams as well as Security Operations teams and practitioners can leverage this report as they look to effectively and securely build, run and secure modern applications and cloud infrastructures.
Cloud computing moved the security perimeter. Where once securing your organization meant managing firewalls and access control list changes, you’re now faced with a decentralized and varied collection of authentication and authorization schemes. Identity is the new perimeter. You need to know who’s logging in when, to which apps, and what they’re doing once they’ve gained access. Securing your network and cloud apps starts with gaining visibility into—and controlling—authentication.
When migrating to Kubernetes and re-architecting your applications into containers, logging is a critical piece to consider. The twelve-factor app methodology has a section dedicated to logging and outlines the importance of not worrying about routing and storage of your logs. As a best practice, applications running in containers should rely 100% on standard output (STDOUT). Unfortunately, getting logs from applications that do not write to STDOUT is non-trivial and has many things to consider.
Historically, SIEM has primarily been an on-premises deployment, given the need to consolidate data from enterprise tools. But because of the increased advantages of alternatives, organizational preferences for deployment models are changing – sometimes dramatically. Download this Business Impact report from 451 Research to learn how organizations are taking advantage of cloud-native SIEM solutions.
It’s essential to choose the right tool for the job. I have an old, sturdy screwdriver that I use for lots of odd DIY jobs around my house, like cleaning gutters, opening paint cans, and general maintenance on my lawnmower. However, when I’m performing an upgrade on my computer, a large, rusty screwdriver isn’t the best tool to remove the screws anchoring my motherboard.
Sumo Logic Continuous Intelligence Platform™ is FedRAMP-Moderate Authorized, providing operational and security intelligence that enables federal agencies and commercial entities to further strengthen their security and compliance posture leveraging real-time insights into their on-premises and cloud environments.
In this Q&A video, Scott Crawford, Research Director of Information Security at 451 Research, is joined by Greg Martin, Vice President and General Manager of Security at Sumo Logic, to discuss the increased adoption of cloud as a deployment model for SIEM and how this approach can help modernize your security operations.
We are excited to join AWS for the launch of Amazon CloudWatch Metric Streams; a fully managed, scalable, and low latency service that streams Amazon CloudWatch metrics to partners via Amazon Kinesis Data Firehose. AWS and Sumo Logic customers can now leverage AWS Kinesis Firehose for Metrics Source for streaming CloudWatch metrics into their Sumo Logic accounts, to help simplify the monitoring and troubleshooting of AWS infrastructure, services, and applications.
Modern systems look very different than they did years ago. For the most part, development organizations have moved away from building traditional monoliths towards the development of containerized applications running across a highly-distributed infrastructure. While this change has made systems inherently more resilient, the increase in overall complexity has made it more important (and more challenging) to effectively identify and address problems at their root cause when issues occur.
Sumo Logic commissioned a Total Economic Impact™ study from Forrester Consulting to provide security and IT leaders with a framework to evaluate the financial benefits of Sumo Logic’s Cloud SIEM solution on their organizations. Here are four ways you can experience cost savings and benefits by adopting a Cloud SIEM solution.
Cloud-native and serverless come hand in hand. One of the initial motivations to move business workflows to the cloud was related to cutting costs related to provisioning infrastructure and elasticity that on-demand allocation of resources is offering. The serverless approach takes this to the next level, where infrastructure is provisioned only for the time of code execution, and the whole stack below the executed code, including application components, OS, and hardware (of course) is provided by the cloud vendor. No surprise this approach takes more and more traction, although it’s nothing new.
As a digital bank serving 31 countries across the globe, the financial services company has a wide range of software-based products that support customer offerings, such as personal banking, home loans, wealth management, and small-to-medium business services. With software delivery as a backbone of the business, the digital bank was continuously striving to mature its DevOps processes to better serve customer needs and address market opportunities. To achieve this, one essential call-to-action was to pursue a data-driven approach for strategic planning and decision making.
Over a year ago we decided to invest heavily in Application Observability, understanding the modern observability platform must unite logs, metrics, and traces in one analytics layer to better serve reliability use cases. We have also advocated a modern trend to acquire tracing data via open source industry standards like OpenTelemetry without vendor lock-in.