via GIPHY I was at a dinner party recently, and talking with some colleagues. I had worked with them years back on Oracle systems. One colleague Maria said she really enjoyed my newsletter. Join 38,000 others and follow Sean Hull on twitter @hullsean. She went on to say how much has changed in the last …
10 Older Entries »
Amazon is releasing new products & services to it’s global cloud compute network at a rate that has all of our heads spinning. Join 32,000 others and follow Sean Hull on twitter @hullsean. Here’s new stuff worth mentioning around databases & data. 1. For ETL – AWS GLUE Moving data from your transactional MySQL or … Continue reading What products & improvements are new on AWS? →
The MySQL keynote at Oracle Open World 2016 announced the immediate availability of the MySQL Cloud Service, part of the larger Oracle Cloud offering. You can evaluate this now with a trial copy at cloud.oracle.com/mysql. MySQL server product manager Morgan Tocker gave two presentations at the event including a deep dive session.
This is the first release of the MySQL cloud service. As with all first releases there are some highlights and some pipeline features. All major cloud providers have MySQL offerings. AWS RDS (traditional, MAZ and Aurora) GCP Cloud SQL and Azure …[Read more]
Trove is used for self service provisioning and lifecycle management for relational and non-relational databases in an OpenStack cloud. Trove provides a RESTful API interface that is same regardless of the type of database. CLI tools and a web UI via Horizon are also provided wrapping Trove API requests.
In simple terms. You are a …[Read more]
As your organization transforms to embrace the wealth of digital information that is becoming available, the capability to store, manage and consume this data in any given format or product becomes an increasing burden for operations.
How does your organization handle the request, “I need to use product Z to store data for my new project?” There are several responses I have experienced first-hand with clients.
- Enforce the company policy that Products O and S are all that can be used.
- Ignore the request.
- Consider the request, but antagonize your own internal organization with long wait times (e.g. months or years) and with repeated delays to evaluate a product you simply do not want to support.
- Do whatever the developers say, they know best.
Unfortunately I have …[Read more]
One of the most common engagements I do is working with firms in and around the NYC startup sector. I evaluate AWS infrastructures & applications built in the Amazon cloud. Join 32,000 others and follow Sean Hull on twitter @hullsean. I’ve seen some patterns in customers usage of Amazon. Below is a laundry list of … Continue reading 5 core pieces of the Amazon Cloud puzzle to get your project off the ground → …[Read more]
At Oracle Openworld this year, Oracle OpenStack Release 2 was announced. This Kilo based distribution included some new deployment features not see in other OpenStack distros including the use of Kolla, Docker and MySQL Cluster. The press release states “First commercially available OpenStack implementation completely packaged as Docker instances”.
Using Docker to containerize each component of services is a very convenient means of dev/test/prod management. Your single node developer environment gets HA automatically, you can easily deploy to two or more management …[Read more]
There’s a strong trend to automation across the cloud. That’s a great thing for startups because it reduces operational headaches & lets them focus on building products. Join 31,000 others and follow Sean Hull on twitter @hullsean. But as that trend begins to touch the database tier, all sorts of complications emerge. Let’s take a … Continue reading When hosting data on Amazon turns bloodsport →
The Big Data explosion in recent years has created a vast number of new technologies in the area of data processing, storage, and management. One of the biggest names to appear on the scene is Hadoop. In case you need a quick review, Hadoop is a Big Data storage system that takes in large amounts of data from servers and breaks it into smaller, manageable chunks. The technology is complex but at a high level the Hadoop ecosystem essentially takes a “divide and conquer” approach to processing Big Data instead of processing data in tables, as in a relational database like Oracle or MySQL.
10 Older Entries »