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I know the implementation structure of DevOps. I am reviewing and implementing AiOps.What are the practical tools in this field?
I want to research AI in CICD and ContinuesFeedback tools?
you can use One of the biggest takeaways in this report is the division of AIOps platform offerings into two categories:
Domain-agnostic
Domain-centric solutions
Gartner says that "requirements for increased flexibility for processing highly diverse datasets are having a significant impact on the market and shifting AIOps platforms toward domain-agnostic functionality." This is also being driven by the flexibility domain-agnostic platforms offer when it comes to ingesting increasingly diverse datasets across a progressive roadmap stretching from three to five years.
According to this link
Devops Tools
you Can Read this report to learn: :
How AIOps can now deliver practical outcomes, rather than aspirational goals
Whether to adopt domain-centric and domain-agnostic AIOps based on use case, data diversity and roadmap
The different AIOps platform vendors and their range of capabilities
With that information as a backdrop, give BigPanda the opportunity to support your AIOps strategy.
BigPanda is the only domain-agnostic AIOps platform that delivers Event Correlation and Automation capabilities to accelerate your incident management lifecycle.
BigPanda works within your existing infrastructure, using BigPanda’s Open Integration Hub to ingest data from the broadest range of monitoring, observability, change and topology tools. BigPanda then applies Open Box Machine Learning to correlate and transform that data into actionable incidents. BigPanda’s Root Cause Analysis quickly helps operators identify which changes in infrastructure and applications are causing the incident.
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Perhaps the easiest way to automate one's Forex trading strategy is to
create an automated trading robot (aka expert advisor) using MQL4/5 programming language, that is built into the MetaTrader Terminal platform. A more exotic option is to develop an automated trading strategy using JForex< platform from Dukascopy.
I wonder if there's anything similar for binary options trading.
What platform can I use to develop a robot, that will trade binary options according to my strategy? All the binary options trading terminals I've seen are meant for manual trading and don't have any automation capabilities.
Trading instruments are pre-set by Brokers' decision
While there are some trading platform consequences, the primary decision is Broker-side business model. If this says offer Binary Options trading, next comes the technical ( and a licensing + CAPEX + OPEX budgeting ) side of that decision.
Binary Options are traded on the MetaTrader Server / MetaTrader Terminal
While there are Brokers, who operate Binary Options trading on MetaTrader Server, one may rather inspect the "depth" of such instrument-specific adaptation in advance.
MQL4 has been long time on the market, while still there are limits and caveats for even the plain Majors trading. MetaQuotes Inc., has brought some server-side extensions, which allow some additional services to be handled on the MetaTrader Terminal side, but that does not imply your MQL4-code will have any chance to interact with these. So while you may trade Binary Options via click-able applet, review rather carefully with the respective Broker, if / what are MQL4-code functionalities that allow you to work with and trade their Binary Options offerings.
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We use TFS to manage tasks and source code. We have 2 TFS 2012 servers. One is used by developers in India and another is used by developers in US. Is there any way to synch or mirror the TFS, so that at any point the both contain the same data (tasks and source code)?
If not immediate synch, then is there anyway to schedule a hourly, daily synch?
This is not a simple question nor a trivial project. You have two independent systems and you want to have the same data, which is practically impossible. You can get equivalent data in both systems.
My first option would be to collapse the two systems in one and leverage capabilities -- like TFS Proxy, caching HTTP proxies, WAN optimization hardware -- to reduce the latency impact for people further from the system.
This is preferable from a data management point of view and gives much more freedom to teams; it requires good infrastructure and network design.
The second option is to use TFS Integration Platform to synchronize the data. This requires accurate planning, but it is, generally doable. You need also to put in place some process, so semi-structural changes, say to Areas or Branches, is managed on one side only. Remember bug #42 for one system will be #89 on another!
I have seen implementation of both, and suggest to hire some good consultant to guide through the mine-fields, so to speak.
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I work for a mid sized Architecture and Engineering firm, our sub group focusses on developing tech solutions for engineers, mappers and technical managers. So we're heavy on desktop based apps for GIS and Civil/Env Engineering (some web). The company sells the services that our Engineers and mappers produce and our team develops tools that aids in them being more productive, efficient and help in adding value to their decesions and products, we DONOT sell the technology.
We are going through growing pains where initally we used to be extremely responsive and could rapidly prototype apps for engineers which immediately brought budgetary savings. That mindset has worked for us in the past. But this year we won a huge contract and our client base has basically quintupled (5 times?). What we are finding is that this rapid prototyping culture is hurting us, where project managers have started to expect short response times for tool development and robust production ready tools for all our engineers and gis analysts. We've grown organically and now it seems that we are running into these issues were it appears we have to scale back our speed for more stability.
Is this a legitimate tradeoff? Is there a win-win?
How does one push back the engineer, project manager and analyst when they are our clients, they fund us and yet we need to be able to push back and tell them that if they want stability they have to be realistic about time frames?
This isnt Microsoft Word, these are specialized GIS software and Engineering models with a ton of interop components for other industry standard models, they arent idiot proof tools, they need informed inputs and we can only test things so much.
Has anyone dealt with similar growing pains? Recommendations/advice on a communication stance, books, blogs?
Appreciate the time!
The best thing to do here is to start to be honest about the strain and show, in writing, what exactly is happening and who all has demands on your team. You need to show the hours that all of your tasks are taking and who is doing them and be able to show that level of status.
This merely give you some sort of proof about what's happening. At that point you can start to do the re-organization you need to do in order to start to support growth.
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Are there any paid or free named entity recognition web services available.
Basically I'm looking for something - where if I pass a text like:
"John had french fries at Burger King"
It should be identify - something along the lines:
Person: John
Organization: Burger King
I've heard of Annie from GATE - but I don't think it has a web service available.
OpenCalais by Reuters - pretty awesome at detecting companies, political entities etc. but not, say, food items.
Free for 50,000 requests per day even for commercial, as long as you display their logo.
Totally tripped by certain types of input though. As of now, this results in nothing being detected, despite Wacom being a relatively well-known company.
Wacom introduces WILL - the Wacom Ink Layer Language as a Leading Standard in Digital Inking
DBPedia Spotlight was just released yesterday. Its based on Wikipedia articles and also available as Open Source.
Alchemy API also offers a web API with some rich functionality. It includes named entity recognition as well as sentiment analysis, concept tagging, and several other NLP-related features.
Free for 1k queries per day, then with various tiers of paid subscriptions if you need more than that.
Rosoka Cloud is available through Amazon AWS Marketplace. You can stand it up and use it for as long as you need it and shut it down when you are done. You can use the drag and drop feature if you only need to process a handful of documents, or use the webservice interfaces if you want to do bulk processing. It is inexpensive option for using commercial grad entity extraction for short periods.
support 230 different languages.
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It looks like some new fancy methodology named EBSE is coming upon us in 2010.
Can someone explain it to me, please?
From the official website, "EBSE is concerned with determining what works, when and where, in terms of software engineering practice, tools and standards".
Basically, EBSE is inspired in medical practice and other professions with similar trajectories, and tries to apply their empirical, down-to-earth approach to the often chaotic world of software development.
The EBSE stands for Evidence-based software engineering. The concept tries to bring evidence to decisions made in the software engineering.
The main instrument of EBSE is the systematic literature review (SLR). The concept is derived from medicine and was adapted by Kitchenham in 2004 in the paper Procedures for perfoming systematic reviews. The idea behind the SLR is to obtain accurate data by analyzing other primary studies, eliminating possible bias that this studies may suffer.
Since 2004 multiple authors proposed changes to Kitchenham's procedure, but Kitchenham remains as the ultimate authority in SLRs in software engineering.
Some popular SLR papers are Empirical studies of agile software development: A systematic review and Lessons from applying the systematic literature review process
within the software engineering domain
I don't see that evidence based software engineering is any different from empirical or experimental software engineering. (ESE) They all have the intention of replacing opinion with a scientific epistemology for the creation of knowledge about how software is/can be created. The International Conference of Software Engineering (http://www.icse-conferences.org/) always has papers on this topic.
Do you mean evidence-based scheduling? The basic gist is that estimates for features in development should be based on statistics gathered about how long previously completed features took.