1、 Why attend the cloud habitat Conference ？
This year it's online , Attending the conference is actually watching live or replaying videos .
I mentioned on many occasions that my idol is Yu Minhong , There was such a passage in his speech at college many years ago ：“ My chat with Ma Yun , Do you want to hear ？ Of course I want to hear , Because we are talking about things we can't see in books ”.
Yes , The big stars gathered at the yunqi conference , As Elastic lovers , To attend the conference is to see that you can't see 、 What you can't learn .
In the four dimensions of cognition “ I don't know I don't know ” Most terrifying .
There was such a discussion in wechat group before ：
[ In fact, it can be done a lot es In the beginning, it was more text related search . But in fact, information is more graphical now 、 Video 、 Other media types . In fact, it's very important . It's raw data embeding Generating vectors , Storage vector , Search for similarity .Elasticsearch There is still a lot of room for what needs to be done in this area ]
It's caused people to talk about Elasticsearch A discussion of the future direction of development .
This cloud habitat Conference Elasticsearch Scenario application gives the answer .
We from ：Elastic Stack Three solutions 、 from Zero To Hero Learning path 、 Alibaba cloud Elasticsearch Bull force place to do next double dish .
2、Elastic Stack Three solutions
2.1 “3 + 1“ Strategic scenarios
“3 + 1” It means in Elastic Stack On the basis of Elastic Enterprise search 、Elastic Full observation 、Elastic Security Three core business scenarios .
1： It stands for ——Elastic Stack.
3： It stands for —— Search for 、 Observability 、 Security .
1） Search for —— Don't introduce too much , Traditional search scenarios , such as ： Web search 、APP Search for etc. .
2） Observability —— It's around enterprise infrastructure data , journal 、 indicators 、APM, The trinity .
ps: I always thought ： Observability and Full observation Chinese is not easy to understand , Not even in Cihai . The essence is ： Data visualization means .
English means ：Elastic Observability. This translation of the latest official document , It's relatively easy to understand .
3） Safety is Elastic The focus is on one direction of the force , This piece of Elastic It's also a subverter of an industry .
Elastic It is the first manufacturer in the industry to provide open source and free terminal security solutions , Recently, it also released its own open source detection rule library , to open up 、 Transparency and community collaboration will be the only choice for dealing with large-scale security threats in the future , Enterprises can use Elastic Of SIEM And terminal protection scheme , Build your own SOC The team , Protecting the digital assets of enterprises .
In a word ：Elastic It has been changed from the original Elasticsearch Search tools have been transformed into Elastic Stack Solution providers .
2.2. How to achieve full data visibility ？
2.2.1 Make data collection easier
solve ：beats many , It's not easy to manage
More shielding agent Complexity issues , Reduce installation complexity
Clusters manage a lot of Agent
UI management , Docking various data sources
Better out of the box
Better manage the life cycle of data for different datasets
2.2.2 Asynchronous search , Carrying more data
For big data offline non real time business scenarios , There is no requirement for retrieval response time , But it's very useful to be concerned about the return of results .
2.2.3 Heap memory upgrade
To improve search 、 Polymerization properties ,Elasticsearch I've been iterating fast to upgrade myself .
2.2.4 Better visualization
Chart drill down 、 Different dashboad Jump
Anyone who has done big data analysis knows , It's painful not to be able to run in , Also need help. ：echart Wait for yourself .
kibana Lens Continuous improvement Support pie charts 、 Cycle graph 、 Tree structure
Chart & The analysis is constantly updated
New alarm system Integration solutions , It's easier to configure .
APM Sevice Map Full field automatic monitoring
2.2.5 Better analysis and presentation
In a word ：Elasticsearch To change the life of data analysis ！
Traditional data analysts rely on Elastic stack Can be more efficient to implement the analysis work , It's just “ be a tiger with wings added ”.
even to the extent that ： Some developers 、 Operation and maintenance personnel can realize their own multi-dimensional data analysis .
3、 from Zero To Hero Elastic Stack Learning path
Mr. Li Meng has a fluent style of writing 、 Comment on spicy , Wrote a lot of beautiful Elasticsearch Practical blog post .
In this version, Mr. Li Meng talked about his own ideas , The summary is as follows .
3.1 Systematic learning
Abandon assembly learning 、 Fragmented learning thinking .
You bet , I have a great sense of accomplishment at the moment of problem solving , But there's no systematic thinking , It's easy to come up with either “ limited outlook ”、 or “ take unnecessary pains to study an insignificant problem ”.
3.2 How to improve ？
1、 Be very correct in your cognition
2、 Learn with a broad mind Elasticsearch,ES Deficiencies can be combined with other programs to improve .
3、 know Elastic Stack Can do 、 Nothing to do ？
4、 Positioning yourself , Development 、 framework 、 Operation and maintenance 、 Source code 、 Algorithm , Different positioning , Different learning paths .
but , If you want to go deep into , Source code is necessary .
5、 How to read 、 Watch more videos .
6、 More communication , Everyone's business scene 、 Knowledge system is limited .
Communication includes, but is not limited to ： Exchange of experience , Project communication , Cognitive communication, etc .
4、 Powerful Alibaba cloud Elasticsearch
Simple —— Unlimited storage and computing power
To use —— Rich search function extension （ Face recognition ,dsl2sql）
cheap —— All kinds of scenario packages
Write efficiently —— Message queue cache , Improve the ability to write data .
Eyou—— Health monitoring , Detecting potential risks , Make development more convenient .
Separation of computing and storage —— Unwanted ES Multi copy mechanism , Rely on cloud storage
Cloud component —— participle 、SQL、 Vector Retrieval 、 flow control
As Ruan Yiming said ：“Elasticsearch At present, we are faced with ： Control the cost 、 Improve accuracy 、 The challenge of maintaining high performance , In order to meet the challenge Elasticsearch Launched ： Hot and cold architecture 、 Cross cluster replication 、 Snapshot search , And the meeting mentioned ： Asynchronous search 、Off heap Other characteristics , Compared with other big data products ,Elasticsearch Catering to the trend of big data era .” therefore ,Elastic It's developing very fast , Version update and iteration are fast ！
As Elastic Of iron powder , Every time I see a new feature 、 Technical points appear （ such as ： Recent Wildcard Type、Date Streams etc. ）, Will be excited .
At the end of the round table , Mr. Wang Gang asked each guest to make a summary ：
Medcl teacher ： choose Elasticsearch That's right ！
Teacher Ruan Yiming ：Elasticsearch, You deserve it ！
Mr. Li Meng ： Any data problem can be used ES To dismantle , If not , Another set, please ！
This summary as the end of this article is also very close to .
6、 Egg ring
Video suggestion ：2 Speed up , pretty 2 All over , That's interesting （ I'm very happy ）.
Mr. Wang Gang and medcl The list of books in the teacher's study , Can you provide me with （ I only saw one 《 This is the search engine 》）？ To the general Elastic Enthusiasts provide an introduction to this area .
It may be the unofficial one with the most attention in China Elastic official account ！