Hashmap Engineering & Technology — Our Top Ten Most Popular Articles in 2018
As we begin 2019, we thought it would be interesting (and fun) to take a look back at the highest rated stories that Hashmappers wrote in 2018.
To all Hashmap customers, partners, and the broader community that viewed, read, and were fans of our stories, we want to say THANK YOU!
Your comments, feedback, and input (and suggestions for topics that you’d like our perspective on) really help motivate us to continue to crank out the highest quality content possible.
Also, a very special thank you to all of the Hashmappers that contributed content, ideas, stories, and significant time to make the Hashmap blog a great resource for the community!
So here they are in order, as ranked by Medium views, the top ten in 2018…
#1 (31K views) — REST: Good Practices for API Design
Working as a Tempus developer and architect, I integrate with plenty of services through REST. Sometimes I find it difficult and time consuming to integrate/consume APIs due to poor design…
#2 (12.2K views) — Snowflake’s Cloud Data Warehouse — What I Learned and Why I’m Rethinking the Data Warehouse
After spending significant time recently in sizing, balancing, and tuning an on-premise data warehouse environment, performance just wasn’t where it needed to be…
#3 (9.2K views) — Creating Custom Processors and Controllers in Apache NiFi
As a software engineer and developer at a Big Data and IoT services company, I’m constantly presented with new challenges and business problems that involve data flows, data integration, data transformations…
#4 (7.3K views) — 3 Steps for Bulk Loading 1M Records in 20 Seconds Into Apache Phoenix
As consultants, engineers, and developers in the Big Data space working with a variety of platforms and toolsets, one of the common technical use cases we encounter with clients is the need to bulk load data with extremely high performance into Apache Phoenix/HBase…
#5 (6.4K views) — How I Use the Twelve-Factor App Methodology for Building SaaS Applications with Java & Scala
The Twelve-Factor App Methodology is suggested by developers for smoothly working and delivering Software as a Service (SaaS) Applications or Web Apps with a focus on Microservices…
#6 (3.9K views) — The What, Why, and How of a Microservices Architecture
For many years now we have been building systems and getting better at it. Several technologies, architectural patterns, and best practices have emerged over those years. Microservices is one of those architectural patterns which has emerged…
#7 (2.8K views) — Apache Atlas — Using the v2 Rest API
Data governance is an important paradigm especially for the part of the organization with ultimate responsibility for data. A data governance solution helps answer questions such as…
#8 (2.4K views) — Making Kubernetes Approachable — Our Experience with Kops and Rancher
Here at Hashmap, we work to continually improve our Tempus IIoT framework, and we test a number of approaches to specific problems using a wide variety of tools. We actively balance our technical goals for Tempus…
#9 (1.7K views) — Apache Ignite — Using a Memory Grid for Distributed Computation Frameworks (Spark and Flink)
While working on Tempus ML, a new Machine Learning studio accelerator at Hashmap, I needed a platform that allowed me to manage data efficiently between elements of a computation…
#10 (1.3K views) — Tips for Designing a Kubernetes Cluster
As Kubernetes use in the enterprise to deploy and manage applications continues to advance and managed service availability across all cloud platforms matures (AKS, GKS, EKS, OpenShift), I thought it would be a good time to share first hand experience…
We hope you enjoyed a look back at top stories from 2018 and we look forward to working together and providing fresh insights on new topics in 2019 as the Data, Cloud, IoT, and AI/ML technology landscape continues to shift and change.
Let us know what you want to hear about and here’s to a great year ahead!
Feel free to share on other channels and be sure and keep up with all new content from Hashmap here. You can also catch our Weekly IoT on Tap Podcast for a casual conversation about IoT from a developer’s perspective.
