There is a new hype in the DevOps world: Istio and service meshes. But why exactly is everyone suddenly migrating to Istio? In this post, we will examine whether it actually makes sense to use Istio and in which use cases it may help you (as well as when it’s simply an overkill). But before discussing Istio, we should first introduce the concept of a service mesh.

Digital performance is the new normal. Every business wants and needs to deliver optimal digital performance across all kinds of applications for employees and customers alike. Apache OpenWhisk For example, Adobe introduced the Helix project—“the new experience management service to create, manage, and deliver great digital experiences.” Adobe is using Apache OpenWhisk as part of their Helix project.

Have you ever wondered how to deploy a Java containerized application on AWS? If so, this article will show you a way to do it. We are going to build a small Java Spring Boot application step by step. You will learn how to define resources, classes, controllers, dependencies, etc. You will also learn how to deploy it on AWS Fargate, which is a managed service that allows you to deploy containers without needing to spend any time on orchestration. What exactly is Spring Boot?

Epsagon is privileged to be part of the AWS Public Sector Partner Program. The Public Sector Partner Program enables Epsagon to accelerate its business growth on AWS through alignment with AWS public sector sales, marketing, and business development teams. Epsagon’s AWS Competencies As part of the AWS Public Sector Partner Program, Epsagon is eligible for additional opportunities to expand public sector business with AWS.

2018 was a big year for serverless, and 2019 shows no signs of slowing down. For the second year running, serverless was the most talked about topic at re:Invent 2018. AWS continues to innovate on the serverless front, and the AWS Lambda platform is constantly getting stronger. In this article, we’ll discuss the differences between serverless and Function-as-a-Service (FaaS) and why serverless is more than just functions.

When adopting cloud technologies, most organizations have two things in mind: infrastructure cost and operational speed. When considering operational speed, it is up to the organization to build, deploy and operate their software faster. The approaches that are popular in the cloud today, such as microservices, APIs, managed services and serverless, exist to increase this speed — which designates as developer velocity.

Developing for the cloud is nothing new. After all, the oldest players in the league are now more than a decade old. But what we often describe as cloud development usually means: development for a particular provider. Vendor lock-in is a big problem in this field, with companies unable to change the platform even when a better alternative comes up. The Cloud Native Computing Foundation (CNCF) is trying to change this trend.

Amazon Athena, an interactive query service that makes it easy to search data in Amazon S3 using SQL, was launched at reInvent 2016. Athena is a serverless service, meaning that you don’t need to manage any infrastructure or perform any setup, and you only have to pay for as much as you use. You can store structured data in S3, for example as JSON or CSV, and then simply query that data using SQL, just as if your S3 bucket was a database.

According to the influential business thinker, Peter Drucker, “What gets measured gets improved.”, Collecting high-quality data is essential when it comes to finding and fixing problems when they arise. As the software industry has migrated from building monolithic applications to microservices and other forms of distributed computing, it has become increasingly difficult to use traditional monitoring methods.

Epsagon is happy to announce that it has achieved the Amazon Web Services (AWS) Data & Analytics Competency status. This designation recognizes that Epsagon has demonstrated success in helping customers evaluate and use the tools, techniques, and technologies of working with data productively, at a high scale, to successfully achieve their data and analytics goals on AWS.