Serverless architecture is gaining a lot of popularity in the recent days and we at Francium Tech have done a detailed study on where it excels and where they don’t. I would like to share the knowledge in the serverless series of articles.
Serverless architecture is gaining a lot of popularity in the recent days and we at Francium Tech have done a detailed study on where it excels and where they don’t. I would like to share the knowledge in the serverless series of articles.
There are times you will need to bring down one or more elasticsearch nodes in order to reduce the costs or make elasticsearch cluster smaller to ease the management of the servers.
At Francium tech, Scalability is not an option, but something thats mandatory. We deal with huge volumes of data and have to run millions of atomic jobs every day to keep our systems up to date and extremely competitive. And our requirements to scale is not going to go down any time soon, in fact, it is going to only increase exponentially in future. This leaves us with adopting to bleeding edge infrastructures, and adapt them very fast!
The outset of Bitcoin proved that we can exchange money without any third party intervention through distribution among multiple nodes via blockchain. However, Bitcoin stores only the transactional information. In order to develop truly decentralised apps, we need to store the states.
At Francium tech, we constantly try to push our limits when it comes to Technology and Elasticsearch is a natural fit to run our various scalability tests. Because of this attitude, we were able to scale our long running tasks (in days) to within hours which has to process close to 13 Million Documents.
It is really frustrating when out of the blue your external traffic goes down. It has happened multiple times in the recent times and I want to log the conversation that went between me and Digital ocean support team.
Create partition table with different name, something related to the source table.
There are times you would be forced to create staging database from the production database so that you will be able to debug a production defect or there are lot of data in terabytes for which we don’t want to spin up a local development database.
As a Developer, it is common to encounter hierarchical data within a same model. A simple example I could cite is to store the organisational structure of the employees within the same model.
There are lot of times when you need to run your own docker registry in your mac or a laptop. Example of such situations could be that you may be experimenting with developing applications on Kubernetes locally or you don’t want to rely on third party registry.
When you happen to be monitoring postgres for its currently executing queries, you may find this query extremely helpful. This works with Postgresql 10. This also filters out postgres stats activities.
