ActiveMQ is a message-oriented middleware, which means that it is a piece of software that handles messages across applications. It acts as a broker that can help facilitate asynchronous communication patterns like publish-subscribe and message queues. The main goal of those servers is to create a scalable and reliable message bus that different components can use to communicate with each other.

We know customers and users today demand new features to be frequently released to their favorite apps. Plus they expect any bugs or issues hindering a great user experience to be fixed—and fast. Here we're going to cover new capabilities built to help you keep up with the business by measuring how well your team works in small batches and identifying previously invisible cross-team dependencies in your development and delivery processes.

It is safe to say that customers and enterprises have come to expect their digital experiences to be near instantaneous. Fifty three percent of consumers will wait no more than three seconds for a web page to render before abandoning the site. But new technologies, like connected vehicles, AR/VR, and industrial automation, are pushing the limits of what traditional architecture can handle when it comes to delivering ultra-low latency.

We live in a world that becomes more connected with each passing day. Public cloud hosts like Amazon Web Services (AWS) provide platforms with a wide array of capabilities that quickly scale based on demand. As a result, we’ve seen an explosion of new applications and services that continue to change our daily lives for the better. Data is a critical component of all of these systems. They can ingest vast amounts of data, process or transform it, and then pass it on.

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. Below, we’ll get into what SRE is, what SRE engineers do, and how SRE will continue to evolve into the future.

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. All of these components generate data—a huge amount of data—some of which you need to leverage for full-stack observability to ensure those systems supporting the business are running efficiently.

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.