InfoQ Homepage Infrastructure Content on InfoQ
-
/articles/deep-learning-institutional-incremental-learning/en/smallimage/institutional-incremental-learning-small-image-v2-1640874831613.jpg)
Developing Deep Learning Systems Using Institutional Incremental Learning
Institutional incremental learning promises to achieve collaborative learning. This form of learning can address data sharing and security issues, without bringing in the complexities of federated learning. This article talks about practical approaches which help in building an object detection system.
-
/articles/cloud-infra-complexity/en/smallimage/logo-1636716177680.jpg)
Reducing Cloud Infrastructure Complexity
Cloud computing adoption has taken the world by storm, and is accelerating unabated. According to Flexera’s annual State of the Cloud Report for 2020, 93% of respondents used multi or hybrid cloud strategies. This article examines different aspects of cloud infrastructure complexity, and approaches to mitigate it.
-
/articles/service-mesh-ultimate-guide-2021/en/smallimage/logo-1630968100375.jpg)
Service Mesh Ultimate Guide 2021 - Second Edition: Next Generation Microservices Development
Get up to speed on the adoption of service mesh. Learn how to deploy service mesh solutions in heterogeneous infrastructures and application/service connectivity.
-
/articles/cloud-native-architecture-adoption-part3/en/smallimage/adoption-cloud-native-architecture-part-3-logo-small-1630316844867.jpg)
Adoption of Cloud Native Architecture, Part 3: Service Orchestration and Service Mesh
This part 3 article in Cloud Native Architecture Adoption series, explores service interaction in a microservices based architecture, typical challenges we experience in distributed systems without proper governance, and how patterns like service orchestration and service mesh can help address those challenges.
-
/articles/netops-secops-closing-gap/en/smallimage/bridge-the-gap-NetOps-SecOps-network-management-security-small-image-1627039022447.jpg)
How to Bridge the Gap between Netops and Secops for Ultimate Network Management and Security
Sometimes it can seem like a new IT management paradigm arrives every week. First, we had DevOps; then DevSecOps; now the most innovative organizations are talking about AIOps and even NetAIOps. Yet what is often forgotten about in this rush to name new ways of working is that many of them have been in place in the best-run teams for decades - a great example of this is NetOps and SecOps.
-
/articles/devops-and-cloud-trends-2021/en/smallimage/InfoQ-Trend-Report-logo-small-1626083029076.jpg)
DevOps and Cloud InfoQ Trends Report - July 2021
This article summarizes how we see the "cloud computing and DevOps" space in 2021, which focuses on fundamental infrastructure and operational patterns, the realization of patterns in technology frameworks, and the design processes and skills that a software architect or engineer must cultivate.
-
/articles/series-debt-guide-agile-journey-2/en/smallimage/Technical Debt-s-1623850162647.jpg)
‘Debt’ as a Guide on the Agile Journey: Technical Debt
In this article in a series on how ‘debt’ can be used to guide an agile journey, we will provide two examples of smells that are related to technical debt, explain the symptoms, the impact on the business and in our organization, outline the experiments (countermeasures) that we have introduced in an effort to try to remove the smell, and provide some specific advice for you to be inspired.
-
/articles/deep-learning-apache-spark-nvidia-gpu/en/smallimage/spark-logo-1623166971929.jpg)
Accelerating Deep Learning on the JVM with Apache Spark and NVIDIA GPUs
In this article, authors discuss how to use the combination of Deep Java Learning (DJL), Apache Spark v3, and NVIDIA GPU computing to simplify deep learning pipelines while improving performance and reducing costs. They also show the performance comparison of this solution with GPU vs CPU hardware, using Amazon EMR and NVIDIA RAPIDS Accelerator.
-
/articles/azure-synapse-analytics-service/en/smallimage/evolution-of-azure-synapse-small-1622106447915.jpg)
Evolution of Azure Synapse: Apache Spark 3.0, GPU Acceleration, Delta Lake, Dataverse Support
At Microsoft Build 2021, Azure Synapse has announced significant improvements for its Apache Spark pool, its performance, and data querying and integration capabilities. This article outlines the improvements and provides the context.
-
/articles/microservicilities-quarkus/en/smallimage/implementing-microservicilities-with-quarkus-and-microProfile-small-1620664010598.jpg)
Implementing Microservicilities with Quarkus and MicroProfile
Microservicilities is a list of cross-cutting concerns that a service must implement apart from the business logic. These concerns include invocation, elasticity and resiliency, among others. This article describes how Quarkus and MicroProfile may be used to implement these concerns.
-
/articles/storage-cloud-apache-bookkeeper/en/smallimage/logo-1619468572224.jpg)
Indestructible Storage in the Cloud with Apache Bookkeeper
At Salesforce, we required a storage system that could work with two kinds of streams, one stream for write-ahead logs and one for data. But we have competing requirements from both of the streams. Being the pioneers in cloud computing, we also required our storage system to be cloud-aware as the requirements of availability and durability are ever more increasing.
-
/articles/platform-engineering-as-community-service/en/smallimage/logo copy-1616765140752.jpg)
Platform Engineering as a (Community) Service
Nicki Watt shares how successful platform engineering initiatives start by adjusting their thinking to centre around people and communities, and their experience consuming the platform, with examples.