Enterprise Architecture
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20 Go language projects for mastering microservices
From toolkits for messaging and routing to API design and app frameworks, the Go language has everything you need to go micro
What is a Java servlet? Request handling for Java web applications
The Java Servlet API is part of the Java EE stack, providing URL mapping and request handling capabilities for Java web applications
Built for realtime: Big data messaging with Apache Kafka, Part 2
Learn how to use Apache Kafka's partitions, message offsets, and consumer groups to distribute load and scale your applications horizontally, handling up to millions of messages per day
Built for realtime: Big data messaging with Apache Kafka, Part 1
Apache Kafka scales horizontally and offers much higher throughput than some traditional messaging systems. Get started with installation, then build your first Kafka messaging system
How to transition to a microservices architecture
When you hit scalability issues or find it has become costly and hard to release regular updates to your monolithic applications, it’s time to move to the microservices approach. Here’s how
When it comes to databases, why ‘I can’t quit you, baby’
Leaving legacy RDMSs is hard, but eventually enterprises will break free of Oracle’s and others’ last grip on their data infrastructure
![robot monitoringa cog wheel system for maintenance [automation]](https://images.idgesg.net/images/article/2018/03/robot_monitoring_maintaining_fixing_cog_wheel_system_automation_gettyimages-820097186_3x2-100752095-small.3x2.jpg)
GKE tutorial: Get started with Google Kubernetes Engine
Discover how easy it is to create a Kubernetes cluster, add a service, configure autoscaling, and tap other great features of GKE
YugaByte review: Planet-scale Cassandra and Redis
YugaByte DB combines distributed ACID transactions, multi-region deployment, and support for Cassandra and Redis APIs, with PostgreSQL on the way
Database shift: Start with open source but finish with AWS
AWS seems to be building natural bridges between on-premises databases like MySQL and cloud services like Amazon Aurora
Why use SaltStack for automation and orchestration
SaltStack is a good choice for very large networks, thanks to its message queue networking and multi-master architecture
Database decisions: AWS has changed the game for IT
Enterprises are figuring out that they likely need different database engines to power different parts of their applications. AWS has figured that out, too
Skip containers and do serverless computing instead
Container technologies like Docker are very powerful, but require talent you can’t get. Serverless computing provides the same benefits—with talent you can actually get
Big data analytics with Neo4j and Java, Part 1
Graph databases like Neo4j are ideal for modeling complex relationships between collections of users--and they move through big data at lightspeed. This tutorial gets you started with graph databases and analytics in Java.
MongoDB will support multidocument ACID transactions
MongoDB 4.0 will be released in summer 2018 but is in public beta now
Serverless computing with AWS Lambda, Part 2
Integrate your AWS Lambda backend with a DynamoDB datastore, then use the AWS SDK to invoke Lambda functions from a Java client
AWS cloud services guide: The right tools for the job
Moving to the cloud makes more sense than ever, if you know why you're doing it and how to make the most of your platform of choice. Find out the most common reasons for cloud migration, and which AWS components you'll need to succeed...
Serverless computing with AWS Lambda, Part 1
Serverless computing is no magic carpet, but how does it really work? Get an overview of AWS Lambda's nanoservices architecture and execution model, then build your first Lambda function in Java
Why old-school PostgreSQL is so hip again
Postgres is old as dirt, yet over the past five years it has panned out as pure gold
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