Resource Center

The growth of site reliability engineering (SRE) has demonstrated the need for SRE implementations is here to stay for the foreseeable future. LinkedIn voted SRE jobs as the second most promising positions in the US in 2019, and now as we head into 2022, you can be sure to see the evolution of SRE continue to grow and expand.

Learn how to build the modern SOC with Cloud SOAR and Cloud SIEM.

Machine data analytics is the process of parsing data generated by software from a wide variety of sources including servers, networks, applications and financial records. These, and many other similar sources, produce massive amounts of data including from local operating systems, identity/access management tools, cloud consoles and their associated log files, alerts, scripts and profiles. The goal of machine data analytics is to make this data more understandable by converting it into useful insights to monitor security events.

As a DevOps, SecOps, or IT operations manager, you're surrounded by all the technology for the systems running the entire organization. This means legacy infrastructure, multi-cloud environments, services, tools, and applications.

AWS spot instances are a great way to optimize AWS costs, however, you risk an increase in service disruptions. See how we tested and monitored AWS spot instances to get the best of both worlds.

As a result of the pandemic, we are all navigating an unpredictable mix of virtual, hybrid, and in-person conditions in our business and personal lives. This situation isn’t going away any time soon.

Managing the security of your Amazon Web Services (AWS) environment requires constant vigilance. Your strategy should include identifying potential threats to your environment and proactively monitoring for vulnerabilities and system weaknesses that malicious actors might exploit. In a complex environment – such as your AWS account with a multitude of services, coupled with various architectures and applications – the ideal solution should be both comprehensive and straightforward.

Delivering value to customers quickly and efficiently is critical to the success of modern businesses. Understanding the process and timeframe during which an organization generates new ideas and then designs, develops and deploys them is vital to success.

We are living in a data world. Data describes and controls almost every aspect of our life, from the president's elections to everyday grocery shopping. Data grows exponentially and so does the complexity of applications that manage that data.

Over the past decade, the software development landscape has shifted dramatically. Long development cycles resulting in big releases are now a thing of the past. Instead, the focus is on delivering value to the customer quickly and efficiently through small releases delivered at a high frequency.

Consumers and users of applications expect near 100% availability and reliability to work, transact, collaborate, etc. There’s a lot of talk about monitoring the performance of the application itself, but what about the underlying systems and components supporting the app, and in particular the infrastructure it sits on?

Sumo Logic SpecOps Situational Brief on the Log4Shell CVE-2021-44228 vulnerability and attempted exploitation observations.

While we are a long way from implementing Skynet, using machine learning combined with automation to make real-time decisions is here. In a recent talk at Sumo Logic Illuminate, Dave Frampton, General Manager of Cloud SIEM and Security Analytics, discusses the future of security with Vijaya Kaza, Head of Engineering and Data Science for Trust & Safety and Chief Security Officer at Airbnb. Kaza describes how automation, machine learning and AI can strengthen a company's overall security posture.

Technology environments are rapidly evolving as organizations look to remain competitive, accelerate innovation and make themselves more agile. But in the process, many of the observers, i.e., stakeholders who track infrastructure and application metrics, are falling behind, unable to monitor and manage modern, cloud-native apps and multi-cloud environments due to the complexity that comes with them.

We’re excited to announce updates to Sumo Logic AWS Quick Start Integrations that enable customers to automate the integration of AWS Security Reference Architecture within Sumo Logic Cloud SIEM powered by AWS. The new integrations automate the collection, ingestion, and analysis of applications, infrastructure, security, and IoT data to derive actionable insights for security engineering teams.

Cloud SOAR helps modern SOCs achieve greater levels of SecOps productivity and takes cloud workflow processes to the next level.

Let’s take a look into why and how you should be closely monitoring your Windows server environments from a security perspective. We’ll investigate the types of logs, events and other actions that you should consider. Finally, we’ll look at how you centralize monitoring into a central dashboard, and automate many of the tedious aspects of Windows security monitoring.

Back in 2018, AWS first released its Graviton processor—their 64-bit Arm processor—and followed that with the release of Graviton2—Version 2 — just a year later. Now customers running ECS and EKS on EC2 can choose between X86 and ARM64 depending on which processor best fits their application workload.