Learn how to collect logs in a non-Kubernetes environment. Sumo Logic provides best-in-class cloud monitoring, log management, Cloud SIEM tools, and real-time insights for web and SaaS-based apps.

Over the past decade, the way we build and deploy applications has changed dramatically. The explosion of public cloud providers enables us to deploy software without engaging in a drawn-out process to procure and set up infrastructure. Agile, DevOps, Continuous Integration, Continuous Deployment, and other changes to how we work have dramatically accelerated the speed with which we can get new applications and updates in front of our users.

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.

Java Management Extensions, or JMX, was first added to J2EE, and it has been part of J2SE since the 5.0 release. The JMX API aims to provide a standard for monitoring and managing Java-enabled applications and services. In this article, we will explain the JMX architecture and show you how to pull the metrics that it generates into your Sumo Logic account in order to gain unique insights and a more thorough understanding of the health of your application and services.

One of Amazon Web Services’ (AWS) most well-known services is AWS DynamoDB. Some of AWS’s most notable customers use DynamoDB for their database needs – companies such as Netflix, The Pokemon Company, and Snapchat.

Some of the largest and most prominent websites, worldwide, partner with Akamai to provide their customers with a premium web experience. What benefits could Akamai offer to you and your online product offerings? In this article, we will introduce you to Akamai and the services they provide.

There has been increasing buzz in the past decade about the benefits of using a microservice architecture. Let’s explore what microservices are and are not, as well as contrast them with traditional monolithic applications. We’ll discuss the benefits of using a microservices-based architecture and the effort and planning that are required to transition from a monolithic architecture to a microservices architecture.

Discover what a service mesh is. Compare two of the front-runners in the service mesh space – Istio and Linkerd – which have achieved broad adoption, especially in the Kubernetes environment.

Configuring health checks for the AWS Elastic Load Balancer (ELB) is an important step to ensure that your cloud applications run smoothly. In this article, we’re going to look specifically at how to configure the health checks on an ELB. In addition, we’re going to look at what factors you should consider when creating and configuring efficient and useful health checks for your services. Our goal is to ensure we have an environment which operates efficiently and minimizes downtime and degraded performance due to increased load.

If you use AWS, you have two load-balancing options: ELB and ALB. And while choice is always a good thing, the ELB vs. ALB debate can be intimidating. Which load balancer is right for your application? Is ALB better than ELB, or vice versa? This article explores these questions.

AWS Config Rules allow the user to configure and respond to configuration changes in an automated manner.

Amazon Web Services (AWS) first introduced Elastic Load Balancing (ELB) in May of 2009. The objective of the service was to provide a method for users to distribute traffic across multiple Amazon EC2 instances. Today, AWS offers their ELB service in three distinct flavors.

If you’re reading this article, you probably already use Apache, and are familiar with its features and functionality. Users of Apache and any technology should also be aware of the importance of monitoring application logs to ensure that they are running optimally, and of using them to identify problems before they cause problems for the consumers of a site.

Learn to build Java microservices that process Dropwizard metrics with this step by step example that returns the shipping cost for packages based on weight.

In a world of shortened release cycles, agile development practices and continuous integration (CI), it is imperative teams have access to a stable tool which can manage the process of building, testing and deploying projects as changes are made. For many years, Jenkins has been the tool of choice among Java developers, but as many projects have moved into the cloud, and in particular, Amazon’s AWS ecosystem, other tools are gaining traction. One such tool is AWS CodePipeline.