API and Microservices Management Benchmark v1.0

Source:-https://gigaom.com Application programming interfaces, or APIs, are now a ubiquitous method and de facto standard of communication among modern information technologies. The information ecosystems within large companies and complex organizations comprise a vast array of applications and systems, many of which have turned to APIs to exchange data as the glue to hold these heterogeneous artifacts together. APIs have begun to replace older, more cumbersome methods of information sharing with lightweight, loosely-coupled microservices. This gives organizations the ability to knit

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DOCKER MONITORING MARKET 2020 KEY VENDORS ANALYSIS WITH INDUSTRY OPPORTUNITIES

Source:-scientect Docker Monitoring is the activity of monitoring the performance of microservice containers. In 2019, the global Docker Monitoring market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025. This report focuses on the global Docker Monitoring status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Docker Monitoring development in United States, Europe and China.

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6 proven metrics for DevOps success

Source:-techbeacon.com Many teams struggle to identify the key performance indicators that will demonstrate to management why DevOps matters and how it affects business results. Not having the right metrics is just one of the many ways that DevOps initiatives fail. Visualizing objective, automated metrics makes them easier to understand. That’s why choosing the right DevOps metrics is key. Here are six that have worked for my team at IBM, why they were chosen, and the improvements seen as a result.

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Kubernetes Container Management Is Not Application Management

Source:-containerjournal.com Application performance management is different than container management in myriad ways. Don’t confuse the two. It’s scary how quickly widespread adoption was achieved for container technology in the world’s mission-critical business applications. Consider that it took about 10 years after the introduction of Java for the programming language to become a near-ubiquitous standard (followed shortly by C#/.Net). In stark contrast, enterprise-ready Docker just turned 5 years old, and it’s been pretty much everywhere for a while. Why so relatively

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Dynatrace Announces Updates To Its Infrastructure Monitoring & Expands Kubernetes Support

Source:-storagereview.com Today at the Perform 2020 conference, Dynatrace announced the next generation of its Infrastructure Monitoring module in its all-in-one Software Intelligence Platform. The latest generation platform will include upgrades such as enhanced AI, expanded out-of-the-box observability and the ability to create custom metrics from log events. The company has also announced expanded support for Kubernetes with its explainable AI engine, Davis, now automatically ingesting additional Kubernetes events and metrics, enabling it to deliver precise answers in real time about

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How Monzo Isolated Their Microservices Using Kubernetes Network Policies

Source:-infoq.com Monzo’s security team shared their story about implementing Kubernetes network policies using Calico APIs to provide isolation among 1500 microservices. Monzo is a mobile-only digital bank that runs its core infrastructure on AWS. Using Kubernetes for hosting its microservices, Monzo uses Apache Cassandra as its primary database, Apache Kafka for messaging and Go for most of its application code. The security team at Monzo engineering adopted zero trust networking as one of their goals. A zero trust platform works

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Are you stuck in the new DevOps matrix from hell?

Source – sdtimes.com If you google “matrix from hell,” you’ll see many articles about how Docker solves the matrix from hell. So, what is the matrix from hell? Put simply, it is the challenge of packaging any application, regardless of language/frameworks/dependencies, so that it can run on any cloud, regardless of operating systems/hardware/infrastructure. The original matrix from hell: applications were tightly coupled with underlying hardware Docker solved for the matrix from hell by decoupling the application from the underlying operating system

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