Operations | Monitoring | ITSM | DevOps | Cloud

Spot worker nodes on EKS (Elastic Kubernetes Service) are a great way to save costs by allowing customers to take advantage of unused capacity. With Sumo Logic, we have experimented with and adopted spot worker nodes for some of our EKS clusters to see if we can pass along the same benefits. We decided to share some of the learnings, challenges, and caveats with using spot instances along with the monitoring setup.

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. The pandemic has prompted businesses across all industries to accelerate their digital transformation initiatives, where the cloud is critical. On-demand self-service environments provide a reason for cloud migration as cloud architectures help businesses reinvent and address uncertainties.

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. At the recent Illuminate User Conference, Drew Horn, Director of Business Development, held a discussion with Clara Ko, Director of Engineering at Sauce Labs, and Bryan Veselka, Director and Product Owner for Cloud and Automation at Vizient.

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. We all know the recent shift to microservices and other revolutionary changes that happened in the way we design, develop, deploy and operate modern applications.

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. This shift is not without its challenges. Increased release velocity means an increased threat to security and reliability. To combat this, teams must collaborate fluidly across the organization.

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? If any piece of this stack fails, it can negatively impact the user experience, and in turn, your business.

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.

If you’re responsible for a significant number of Windows servers, you already understand the importance of being aware of the health and security of your environment. Unfortunately, you’re probably also aware of the tremendous amount of effort and resources required to monitor your Windows environment. Let’s take a look into why and how you should be closely monitoring your Windows server environments from a security perspective.

Back in 2018, AWS first released its Graviton processor—their custom-built 64-bit Arm processor—and followed that with the release of Graviton2 processors 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.

Every company is a software company and every company wants to get better at it. That’s the reason we built Software Development Optimization or SDO. SDO helps you track siloed data across the DevOps toolchain. It normalizes and correlates data, provides you with DORA’s 4 key metrics and gives you deep insights into the velocity and quality of delivery across services and teams.