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Search-Enable Your Application with Lucene
Search-Enable Your Application with Lucene

The e-commerce Web site that I work on has seen several incarnations of its search feature. We started with plain vanilla SQL using "like" clauses, but this didn't perform well and left a lot to be desired in language features such as stemming (e.g., "paint" = "painter" = "painting") and synonym matching (e.g., "cat" = "feline"). Next we tried an off-the-shelf solution. This addressed our efficiency and language demands, but it was ridden with strange quirks and we were limited in how much we could customize its behavior.

Then we discovered Lucene. Lucene is an open-source search framework from Apache's Jakarta project. As a framework, Lucene provides you with the building blocks you need to build a search engine that meets your specific searching requirements. Lucene is flexible, fully customizable, and amazingly fast.

In this article I show you how to use Lucene to build a search solution for your application. Although my examples will be geared toward an e-commerce application, Lucene is flexible enough to be used on any application whether it's Web, desktop, or CD-ROM based.

I used version 1.2 of Lucene to develop the examples in this article. It can be downloaded from http://jakarta.apache.org/lucene. Lucene is self-contained, so you'll need only a JVM (v1.1.8 or higher) to use it. Place lucene-1.2.jar into your classpath and you're ready to start.

Indexing Documents
To build a Lucene index, first you'll need an instance of IndexWriter. The following lines of code create an IndexWriter for an index located at c:\myindex.

Analyzer analyzer = new StopAnalyzer();
writer = new IndexWriter("c:/myindex", analyzer, true);

The first argument to the constructor is the path where the index will be written. If the path doesn't already exist, Lucene will create it for you. The second argument is the Analyzer you want IndexWriter to use when tokenizing text. Here I used StopAnalyzer to remove stop words ("and," "or," "the," etc.) from the token stream. The last argument tells IndexWriter whether to create a new index or to add documents to an existing one. Passing true to the constructor will create the index from scratch; passing false will append to an existing index.

Now that you have an IndexWriter, you're ready to start adding documents to the index. The following code creates a simple document that represents a Web page and uses IndexWriter to add it to the index.

String url = "http://jakarta.apache.org/lucene";
String content = indexer.retrieveWebPageContent(url);
String keywords = indexer.extractKeywords(content);

Document doc = new Document();
doc.add(Field.UnIndexed("url", url));
doc.add(Field.UnStored("keywords", keywords));
doc.add(Field.Text("content", content));
writer.addDocument(doc);

In this example, the document contains the URL metadata for Lucene's homepage, a keywords field that contains search terms to match against in a search, and a "content" field that contains the full content of the Web page.

Once all documents have been added, all that remains is to close the index.

writer.close();

Although this example adds only a single (hard-coded) document to an index, it serves well as a "Hello World" example of how to create indexes using Lucene. The complete source code for this example is in Listing 1. (Listings 1-10 can be downloaded from www.sys-con.com/java/sourcec.cfm.)

For a more interesting example, suppose you're indexing a product catalog to be searched on an e-commerce Web site. A product is made up of a SKU, a name, a price, and some keywords to be searched on (see Listing 2). ProductIndexer (see Listing 3) is a convenience class used to add products to a Lucene index.

The constructor for ProductIndexer takes a string that's the path where the Lucene index will be built and a Boolean parameter that specifies whether a new index will be created or an existing index appended. ProductIndexer uses StopAnalyzer for tokenizing text.

The addProduct() method creates an instance of Document and translates the attributes of the Product into document fields. As in the simple example earlier, the "keywords" field is created as unstored so it can be searched upon but is unavailable for retrieval. The other fields are created as unindexed because these fields will be retrieved only after a successful search, not searched upon themselves.

The close() method closes the IndexWriter, making it available for searching. Before closing, however, a call is made to the IndexWriter's optimize() method to have Lucene optimize the index. Although it's entirely optional, it's generally a good idea to call optimize() if the indexing is finished for the time being and no further documents will be added to the index for a while.

ProductDBIndexer (see Listing 4) reads products from a "catalog" table in a relational database (see Table 1 for the products that I used) and uses ProductIndexer to add the products to Lucene's index. ProductDBIndexer takes two command-line arguments: the path in which to build the index and an optional "create" flag to indicate that the index should be built from scratch.

Lucene Index Structure
Lucene indexes are file based. If you look in the directory where you created the index, you'll find several files that define the Lucene index. Depending on how large your index is, you'll see several groups of files where each file in a group has the same name but a different extension. Each of these groups is known as a "segment." Although this article won't delve into the details of how Lucene segments work, it may be interesting to note that IndexWriter's optimize() method optimizes Lucene's index by consolidating all segments into a single segment for more efficient searching.

While IndexWriter is writing indexes, a file called "write.lock" is created. This file prevents other instances of IndexWriter from writing to the index concurrently. Calling IndexWriter's close() method removes this file and makes the index available for writing by another IndexWriter.

Lucene keeps track of each segment in the index using a file called "segments". During indexing, it occasionally becomes necessary for Lucene to update the segments file to keep it synchronized with the segments in the index. While this synchronization is going on, Lucene creates a "commit.lock" file to prevent concurrent updates of the segments file. Once the segments file is in sync, the commit.lock file is removed.

What would happen if you were to write to an index while it's being searched on? You may write to the index (either by adding new documents or re-creating the index from scratch) while it's being searched, but doing so may have undesirable effects on the search results. The worst side effect that I've seen is a document appearing out of order in the Hits collection. Depending on how important the ordering is to you, it may be best to create your indexes off-line (i.e., in another directory) and then rename the directory to become the current index.

Searching
Now that you've built an index, it's time to perform search queries against it. ProductSearcher (see Listing 5) shows how to do this.

To search a Lucene index you need an instance of org.apache.lucene.search.Searcher. Two subclasses of Searcher come with Lucene. IndexSearcher is for searching a single Lucene index while MultiSearcher is used to search multiple indexes at once. Only the product catalog index will be searched, so IndexSearcher is the best choice for this example. It's constructed given the path to the index.

Searcher searcher = new IndexSearcher(indexPath);

Next you must construct a Query object. The best way to do this is to use the parse() method of org.apache.lucene.queryParser.QueryParser. Create an instance of QueryParser, passing the name of the default field (the field that's searched upon by default) and an analyzer to the constructor. Then call parse() on the QueryParser instance passing the query string. An instance of org.apache .lucene.search.Query will be returned.

QueryParser queryParser = new QueryParser("keywords", new StopAnalyzer());
Query query = queryParser.parse("cat food");

Note: QueryParser is not thread-safe. A new instance of QueryParser should be created for each thread.

For this example the choice of query string is hard coded as "cat food". This query will result in all documents containing either "cat" or "food", but not necessarily both. It's possible to require that a document's keyword field contain "cat" and "food" when searching. Simply place a plus (+) sign in front of each word so that the search string will be "+cat +food" to require resulting documents to contain both "cat" and "food" in their keyword field. More advanced search options will be discussed later.

Next make a call to the Searcher's search() method, passing in the Query object.

Hits hits = searcher.search(query);

The search() method returns an instance of org.apache.lucene.search.Hits. The Hits class represents a collection of documents matching the search criteria, along with each document's relevancy score. These scores range from 0.0 to 1.0 where 1.0 is considered highly relevant and 0.0 is considered completely irrelevant (and not included in the Hits collection).

Finally, cycle through each Document returned in the Hits object displaying the SKU and name of the product along with its relevancy score.

for (int i = 0; i < hits.length(); i++) {
Document document = hits.doc(i);
float score = hits.score(i);
System.out.println(document.get("sku") + " :: " +
document.get("name") + " :: " + score);
}

Advanced Queries
Up until now, the queries have been relatively simple ones such as "cat food" and "+cat +food". QueryParser has a powerful selection of query operators to facilitate more complex searches. Table 2 lists all of QueryParser's operators.

Wildcard queries are fairly straightforward. The "*" operator can be replaced by zero or more characters to match a word. The "?" operator is replaced by exactly one character when matching. For example, "ca*" will match "cat", "car", "cap", or "candle", while "ca?" will match "cat", "car", and "cap", but not "candle". This is consistent with the behavior of "*" and "?" on a DOS or Unix command line.

The tilde (~) character, when used alone, performs a fuzzy search, matching words that are spelled similarly. For example, "cat~" will match "cat", but it will also match "car" and "rat" because these words are similarly spelled.

Surrounding two or more words with quotes (" ") produces a phrase. When two or more words are part of a phrase, those words must appear together in order to be considered a match. For example, ""dog food"" will match documents where "dog" is immediately followed by "food".

If a tilde and a number follow a phrase, then a proximity search is performed. For example, ""dog food"~10" will produce results where "dog" and "food" are found within 10 words of each other, but not necessarily adjacent to each other.

The carat (^) is a term booster. What this means is that any word followed by a carat is considered to have higher relevance than words not followed by a carat. For example, "dog^ kennel" will match where the document contains "dog" or "kennel", but will give a higher relevance to documents containing "dog".

The Boolean operators, AND, OR, and NOT behave as you would expect them to. For example, "(cat AND food) OR bird" returns all documents containing "cat" and "food" along with all documents that contain "bird". "cat NOT food" returns all documents containing "cat", but not containing "food". As you have seen before in the simple "cat food" example, OR is the default conjunction operator.

As shown in the previous example, parentheses can be used to group terms into subqueries.

As discussed, the plus sign (+) requires that a word or phrase exist in a field. Conversely, the minus sign (-) prohibits a word from appearing in the results and is roughly equivalent to NOT. For example, "dog -food" returns all documents containing "dog" but not containing "food".

Finally, there are times when you may want to search multiple fields. When constructing a QueryParser, you must specify a default field to be searched upon. Unless you specify otherwise, any words in your query will be looked for in the default field. In the examples, "keywords" is the default field. You can search on nondefault fields (assuming that they're indexed) by using a colon (:). For example, had the name field been tokenized and indexed, the query string "+cat +name:nummies" would return all documents in which the keywords field contains "cat" and the name field contains "nummies".

Customizing Lucene
While Lucene comes with an impressive set of functionality, you may still find that you want it to do something more or different than is available out of the box. As a search framework, Lucene provides several hooks for you to extend and/or modify its behavior.

In the previous examples, the analyzer chosen was StopAnalyzer. Underneath the covers, Stop-Analyzer uses LetterTokenizer to tokenize text into individual words. LetterTokenizer treats any nonalphabetic character as a delimiter. This is fine in most cases, but what if you want to tokenize text that contains numeric characters ("0" - "9") as well as alphabetic characters? This would be desirable if the keyword text contains part numbers or model numbers. LetterTokenizer wouldn't help in this case.

Listing 6 defines AlphanumericTokenizer, a tokenizer that works like LetterTokenizer except for one small difference: it treats numeric characters as token characters along with alphabetic characters. It does this by subclassing LetterTokenizer and overriding the isTokenChar() method to return the results of LetterTokenizer's isTokenChar() implementation OR'd with a call to Character.isDigit().

AlphanumStopAnalyzer (see Listing 7) is an analyzer that uses AlphanumericTokenizer. The stop-word behavior of StopAnalyzer is still desired, so AlphanumericTokenizer is wrapped with a StopFilter. To normalize the text to lowercase, StopFilter is then wrapped with LowercaseFilter. AlphanumStopAnalyzer is functionally equivalent to StopAnalyzer, except, since it uses AlphanumericTokenizer, it does not treat numeric characters as delimiters. To try out AlphanumStopAnalyzer, use it in place of StopAnalyzer in both ProductIndexer and ProductSearcher. Be sure to reindex with ProductIndexer before searching the index with the new analyzer.

Suppose that synonym-matching capability is required so that "cat" will match "kitten", "kitty", or "feline". AliasFilter (see Listing 8) is a subclass of TokenFilter that does this. AliasFilter retrieves its synonym list from entries in AliasFilter.properties. For example:

cat=feline kitten kitty
dog=canine puppy mutt
food=feed chow
parrot=bird

With each invocation of next(), AliasFilter first checks to see if there are any synonyms in the alias stack. If there are, it pops the next alias off the stack and returns it. Otherwise, AliasFilter retrieves the next token from the input TokenStream, adds any aliases that may exist to the alias stack, and then returns the next token.

AliasAnalyzer (see Listing 9) constructs a TokenStream that does everything the TokenStream from Alphanum-StopAnalyzer does, but it also uses AliasFilter to add synonyms to the TokenStream. To try AliasAnalyzer, use it as your analyzer instead of StopAnalyzer in both ProductIndexer and ProductSearch. Again, be sure to reindex before searching.

When trying AliasFilter you may discover some strange, albeit desirable, behavior. Search for "feline". Even though there are no aliases for feline, all cat-related products appear in the search results. Why? When you use AliasAnalyzer to search for "feline", the token stream does not expand beyond "feline". So why do "cat" products appear? The reason is, you also used AliasAnalyzer to index the products. When you indexed a product containing "cat", AliasAnalyzer expanded the token stream to include "kitten", "kitty", and "feline" in the index. When searching for "feline" it will be found in products whose token stream was expanded to include "feline". In effect, you get an automatic two-way aliasing between "cat" and "feline", even though it appears to be only one way in AliasFilter.properties.

Another common problem in searching is paging the results. A search query could return anywhere from zero results to a seemingly infinite number of result documents. Good usability practices suggest that you page the results, showing the user only a handful at a time. This can be accomplished in Lucene using result filters.

To create a result filter, you must subclass org.apache.lucene.search.Filter. The only required method is the bits() method. It will return a java.util.BitSet where each bit represents a document in the result set. If the bit is true, the document will be returned in Hits, otherwise it won't be returned.

PageFilter (see Listing 10) is an example of a Filter that's used to paginate search results. Given a page number and a page size, PageFilter will pare down Lucene's result set to a specific page's subset of documents. It does this by creating a BitSet big enough to hold the maximum number of result bits and then looping through the bits that need to be turned on. To use PageFilter, change ProductSearcher's call to search() to look like this:

Hits hits = searcher.search(query,new PageFilter(1,20));

This new call to search() will result in showing only the second set of 20 results.

Conclusion
Building a full-featured search engine can be a daunting task. But, thanks to Lucene, much of the complicated details are abstracted behind an easy-to-use API. We've seen how easy it can be to create an index for searching practically any type of information. We've also seen how Lucene is flexible and can be extended to satisfy custom indexing and searching requirements.

Resources

  • Jakarta Lucene: http://jakarta.apache.org/lucene
  • NLucene, the .NET implementation of Lucene at SourceForge: http://sourceforge.net/projects/nlucene
  • JGuru FAQ on Lucene: www.jguru.com/faq/Lucene
  • About Lucene's creator, Doug Cutting: http://lucene.sourceforge.net/background.html

    SIDEBAR
    Index Components
    A Lucene index is a collection of documents organized in a way that allows quick retrieval of information when arbitrarily queried upon.

    Each document (implemented by org.apache.lucene.document.Document) in a Lucene index is made up of one or more fields that are name-value pairs, much like entries in a HashMap. A document can contain as much or as little information as is required to be searched upon. For example, a Lucene document could contain the complete contents of a Web page, text file, e-mail, etc. On the other hand, a Lucene document may contain only a minimal set of metadata, such as keywords, along with a URL, a product SKU, or some other identifying information used to reference a full information source stored outside of Lucene (such as in a file system or a relational database).

    Each field in a document can be defined as being any combination of stored, indexed, and tokenized. If a field is stored, its contents are fully retrievable upon a successful search. If a field is indexed, its content may be referenced in a query and searched upon. If a field is tokenized, its content is broken into one or more tokens (or words) prior to being indexed.

    Fields can be created using org.apache.lucene.document.Field. The Field class has several static factory methods that make short work of creating field entries. Table 3 illustrates these static methods and the types of Fields that they create.

    Why would you want to index a field, but not store it? Consider a field that contains keywords for your document: chances are you'll never display or perform any processing of this field, but you still want to be able to search upon it. By indexing it you're making the field searchable, but by not storing it, you're saving space because the text is not written verbatim to the index. On the other hand, you may want to store some data so that it can be retrieved later but not actually be able to search upon it. In that case, you'd choose a field that's stored but not indexed. When defining your fields, be mindful of what those fields will be used for, and for efficiency's sake choose an appropriate field definition.

    SIDEBAR
    Search Components
    A Searcher (org.apache.lucene.search.Searcher) is used to access a Lucene index and query its contents. There are two subclasses of Searcher: IndexSearcher that searches a single index and MultiSearcher that searches one or more indexes and collects all the results in a single result set.

    Searches are performed by calling one of Searcher's search() methods and passing it a query (org.apache.lucene.search.Query). The search method returns an instance of org.apache.lucene.search.Hits. The Hits class is an array-like collection of documents that matches your query. The documents are ordered in Hits by a relevancy score.

    A Query object can be constructed using org.apache.lucene.query-Parser.QueryParser. QueryParser's parse() method parses a query string that's written in its query language and builds an appropriate Query object for that query string. QueryParser also uses an Analyzer in performing the parsing of the query string. It's not required, but it is strongly recommended that you use the same Analyzer for parsing queries that you used when indexing your documents.

    SIDEBAR
    Text Analysis Components
    When a field is tokenized, its content is broken into one or more tokens or words. Facilitating this tokenization process is the notion of an analyzer (see Figure 1). An analyzer is any subclass of org.apache.lucene.analysis.Analyzer that defines the rules for tokenization.

    A token stream is an iterator that returns the next token with each call to its next() method or returns a null when there are no more tokens in the stream. Two important subclasses of TokenStream are Tokenizer and TokenFilter. Both of these classes are abstract and must be subclassed to define the specific rules on how to tokenize content.

    At the core of the tokenization process is a Tokenizer. A Tokenizer wraps an instance of java.io.Reader and performs the actual work of breaking a stream into individual tokens (not unlike the notion of a StringTokenizer).

    TokenFilters act as decorators of other TokenStreams. Token filters can be used to add, replace, or remove tokens from a TokenStream. For example, org.apache.lucene.analysis.PorterStemFilter is a TokenFilter that replaces each word in a TokenStream with its word stem (e.g., "painting" becomes "paint").

    Analyzers rely on token streams (subclasses of org.apache.lucene.analysis.TokenStream) in defining the tokenization rules. In fact, an analyzer is nothing more than a factory for creating instances of TokenStream.

    To see how the text analysis components are used together, consider some of the TokenStream and Analyzer implementations packaged with Lucene. StopAnalyzer is an analyzer whose job is to remove stop words (e.g., "and", "or", "the", etc.) from a tokenized stream. At the core of StopAnalyzer is an instance of LowerCaseTokenizer. It tokenizes the stream into individual words, normalizing them to lowercase as it goes, where any nonalphabetic character is considered a delimiter. An instance of StopFilter decorates LowerCaseTokenizer, removing stop words from the stream as they're found. StopAnalyzer's tokenStream() method is merely a factory method that returns the decorator chain made up of LowerCaseTokenizer and StopFilter.

    About Craig Walls
    Craig Walls is the manager of Internet development for a Dallas, Texas-based retailer. He has eight years of experience in software development, six in Java. Craig is a Sun Certified Java programmer and a Sun Certified architect for the Java platform. He holds a BS in computer science from New Mexico State University.

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    I tried to implement the PageFilter, but it did not return any results. Any help would be appreciated. Thanks

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    Culture is the most important ingredient of DevOps. The challenge for most organizations is defining and communicating a vision of beneficial DevOps culture for their organizations, and then facilitating the changes needed to achieve that. Often this comes down to an ability to provide true leadership. As a CIO, are your direct reports IT managers or are they IT leaders? The hard truth is that many IT managers have risen through the ranks based on their technical skills, not their leadership abi...
    Extreme Computing is the ability to leverage highly performant infrastructure and software to accelerate Big Data, machine learning, HPC, and Enterprise applications. High IOPS Storage, low-latency networks, in-memory databases, GPUs and other parallel accelerators are being used to achieve faster results and help businesses make better decisions. In his session at 18th Cloud Expo, Michael O'Neill, Strategic Business Development at NVIDIA, focused on some of the unique ways extreme computing is...
    "We host and fully manage cloud data services, whether we store, the data, move the data, or run analytics on the data," stated Kamal Shannak, Senior Development Manager, Cloud Data Services, IBM, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
    Whether you like it or not, DevOps is on track for a remarkable alliance with security. The SEC didn’t approve the merger. And your boss hasn’t heard anything about it. Yet, this unruly triumvirate will soon dominate and deliver DevSecOps faster, cheaper, better, and on an unprecedented scale. In his session at DevOps Summit, Frank Bunger, VP of Customer Success at ScriptRock, discussed how this cathartic moment will propel the DevOps movement from such stuff as dreams are made on to a practic...
    The modern software development landscape consists of best practices and tools that allow teams to deliver software in a near-continuous manner. By adopting a culture of automation, measurement and sharing, the time to ship code has been greatly reduced, allowing for shorter release cycles and quicker feedback from customers and users. Still, with all of these tools and methods, how can teams stay on top of what is taking place across their infrastructure and codebase? Hopping between services a...
    As organizations realize the scope of the Internet of Things, gaining key insights from Big Data, through the use of advanced analytics, becomes crucial. However, IoT also creates the need for petabyte scale storage of data from millions of devices. A new type of Storage is required which seamlessly integrates robust data analytics with massive scale. These storage systems will act as “smart systems” provide in-place analytics that speed discovery and enable businesses to quickly derive meaningf...
    DevOps has often been described in terms of CAMS: Culture, Automation, Measuring, Sharing. While we’ve seen a lot of focus on the “A” and even on the “M”, there are very few examples of why the “C" is equally important in the DevOps equation. In her session at @DevOps Summit, Lori MacVittie, of F5 Networks, explored HTTP/1 and HTTP/2 along with Microservices to illustrate why a collaborative culture between Dev, Ops, and the Network is critical to ensuring success.
    There are so many tools and techniques for data analytics that even for a data scientist the choices, possible systems, and even the types of data can be daunting. In his session at @ThingsExpo, Chris Harrold, Global CTO for Big Data Solutions for EMC Corporation, showed how to perform a simple, but meaningful analysis of social sentiment data using freely available tools that take only minutes to download and install. Participants received the download information, scripts, and complete end-t...
    Containers have changed the mind of IT in DevOps. They enable developers to work with dev, test, stage and production environments identically. Containers provide the right abstraction for microservices and many cloud platforms have integrated them into deployment pipelines. DevOps and containers together help companies achieve their business goals faster and more effectively. In his session at DevOps Summit, Ruslan Synytsky, CEO and Co-founder of Jelastic, reviewed the current landscape of Dev...
    When building large, cloud-based applications that operate at a high scale, it’s important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. “Fly two mistakes high” is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee A...
    WebRTC is about the data channel as much as about video and audio conferencing. However, basically all commercial WebRTC applications have been built with a focus on audio and video. The handling of “data” has been limited to text chat and file download – all other data sharing seems to end with screensharing. What is holding back a more intensive use of peer-to-peer data? In her session at @ThingsExpo, Dr Silvia Pfeiffer, WebRTC Applications Team Lead at National ICT Australia, looked at differ...
    WebRTC has had a real tough three or four years, and so have those working with it. Only a few short years ago, the development world were excited about WebRTC and proclaiming how awesome it was. You might have played with the technology a couple of years ago, only to find the extra infrastructure requirements were painful to implement and poorly documented. This probably left a bitter taste in your mouth, especially when things went wrong.
    Data is the fuel that drives the machine learning algorithmic engines and ultimately provides the business value. In his session at Cloud Expo, Ed Featherston, a director and senior enterprise architect at Collaborative Consulting, discussed the key considerations around quality, volume, timeliness, and pedigree that must be dealt with in order to properly fuel that engine.
    Whether they’re located in a public, private, or hybrid cloud environment, cloud technologies are constantly evolving. While the innovation is exciting, the end mission of delivering business value and rapidly producing incremental product features is paramount. In his session at @DevOpsSummit at 19th Cloud Expo, Kiran Chitturi, CTO Architect at Sungard AS, discussed DevOps culture, its evolution of frameworks and technologies, and how it is achieving maturity. He also covered various styles and...
    You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
    @CloudExpo Stories
    IBM helps FinTechs and financial services companies build and monetize cognitive-enabled financial services apps quickly and at scale. Hosted on IBM Bluemix, IBM’s platform builds in customer insights, regulatory compliance analytics and security to help reduce development time and testing. In his session at 20th Cloud Expo, Tom Eck, Industry Platforms CTO at IBM Cloud, will discuss how these tools simplify the time-consuming tasks of selection, mapping and data integration, allowing developers ...
    In order to meet the rapidly changing demands of today’s customers, companies are continually forced to redefine their business strategies in order to meet these needs, stay relevant and continue to see profitable growth. IoT deployment and development is integral in this transformation, and today businesses are increasingly seeing the value of investing their resources into IoT deployments. These technologies are able increase ROI through projects such as connecting supply chains or enabling sm...
    Most DevOps journeys involve several phases of maturity. Research shows that the inflection point where organizations begin to see maximum value is when they implement tight integration deploying their code to their infrastructure. Success at this level is the last barrier to at-will deployment. Storage, for instance, is more capable than where we read and write data. In his session at @DevOpsSummit at 20th Cloud Expo, Josh Atwell, a Developer Advocate for NetApp, will discuss the role and value...
    With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo | @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.
    You know you need the cloud, but you’re hesitant to simply dump everything at Amazon since you know that not all workloads are suitable for cloud. You know that you want the kind of ease of use and scalability that you get with public cloud, but your applications are architected in a way that makes the public cloud a non-starter. You’re looking at private cloud solutions based on hyperconverged infrastructure, but you’re concerned with the limits inherent in those technologies.
    As enterprise cloud becomes the norm, businesses and government programs must address compounded regulatory compliance related to data privacy and information protection. The most recent, Controlled Unclassified Information and the EU’s GDPR have board level implications and companies still struggle with demonstrating due diligence. Developers and DevOps leaders, as part of the pre-planning process and the associated supply chain, could benefit from updating their code libraries and design by in...
    SYS-CON Events announced today that EARP Integration will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. EARP Integration is a passionate software house. Since its inception in 2009 the company successfully delivers smart solutions for cities and factories that start their digital transformation. EARP provides bespoke solutions like, for example, advanced enterprise portals, business intelligence systems an...
    SYS-CON Events announced today that Outscale, a global pure play Infrastructure as a Service provider and strategic partner of Dassault Systèmes, will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Founded in 2010, Outscale simplifies infrastructure complexities and boosts the business agility of its customers. Outscale delivers a secure, reliable and industrial strength solution for its customers, which in...
    SYS-CON Events announced today that Progress, a global leader in application development, has been named “Bronze Sponsor” of SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Enterprises today are rapidly adopting the cloud, while continuing to retain business-critical/sensitive data inside the firewall. This is creating two separate data silos – one inside the firewall and the other outside the firewall. Cloud ISVs oft...
    As cloud adoption continues to transform business, today's global enterprises are challenged with managing a growing amount of information living outside of the data center. The rapid adoption of IoT and increasingly mobile workforce are exacerbating the problem. Ensuring secure data sharing and efficient backup poses capacity and bandwidth considerations as well as policy and regulatory compliance issues.
    The 21st International Cloud Expo has announced that its Call for Papers is open. Cloud Expo, to be held October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, brings together Cloud Computing, Big Data, Internet of Things, DevOps, Digital Transformation, Machine Learning and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding busin...
    Internet of @ThingsExpo, taking place October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with the 21st International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. @ThingsExpo Silicon Valley Call for Papers is now open.
    SYS-CON Events announced today that Interoute has been named “Bronze Sponsor” of SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Interoute is the owner operator of Europe's largest network and a global cloud services platform, which encompasses over 70,000 km of lit fiber, 15 data centers, 17 virtual data centers and 33 colocation centers, with connections to 195 additional partner data centers. Our full-service Unifie...
    For financial firms, the cloud is going to increasingly become a crucial part of dealing with customers over the next five years and beyond, particularly with the growing use and acceptance of virtual currencies. There are new data storage paradigms on the horizon that will deliver secure solutions for storing and moving sensitive financial data around the world without touching terrestrial networks. In his session at 20th Cloud Expo, Cliff Beek, President of Cloud Constellation Corporation, w...
    SYS-CON Events announced today that Twistlock, the leading provider of cloud container security solutions, will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Twistlock is the industry's first enterprise security suite for container security. Twistlock's technology addresses risks on the host and within the application of the container, enabling enterprises to consistently enforce security policies, monitor...
    Interested in leveling up on your Cloud Foundry skills? Join IBM for Cloud Foundry Days on June 7 at Cloud Expo New York at the Javits Center in New York City. Cloud Foundry Days is a free half day educational conference and networking event. Come find out why Cloud Foundry is the industry's fastest-growing and most adopted cloud application platform.
    In his session at 20th Cloud Expo, Brad Winett, Senior Technologist for DDN Storage, will present several current, end-user environments that are using object storage at scale for cloud deployments including private cloud and cloud providers. Details on the top considerations of features and functions for selecting object storage will be included. Brad will also touch on recent developments in tiering technologies that deliver single solution and an end-user view of data across files and objects...
    DevOps is often described as a combination of technology and culture. Without both, DevOps isn't complete. However, applying the culture to outdated technology is a recipe for disaster; as response times grow and connections between teams are delayed by technology, the culture will die. A Nutanix Enterprise Cloud has many benefits that provide the needed base for a true DevOps paradigm.
    SYS-CON Events announced today that Progress, a global leader in application development, has been named “Bronze Sponsor” of SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Enterprises today are rapidly adopting the cloud, while continuing to retain business-critical/sensitive data inside the firewall. This is creating two separate data silos – one inside the firewall and the other outside the firewall. Cloud ISVs ofte...
    Cloud applications are seeing a deluge of requests to support the exploding advanced analytics market. “Open analytics” is the emerging strategy to deliver that data through an open data access layer, in the cloud, to be directly consumed by external analytics tools and popular programming languages. An increasing number of data engineers and data scientists use a variety of platforms and advanced analytics languages such as SAS, R, Python and Java, as well as frameworks such as Hadoop and Spark...

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    Sponsorship opportunities are now open for Cloud Expo 2017 New York, June 6-8, 2017, at the Javits Center in New York City, New York, and for Cloud Expo 2017 Santa Clara, Oct 31-Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara,CA. For sponsorship, exhibit opportunities and show prospectus, please contact Carmen Gonzalez, carmen (at) sys-con.com.



    Cloud Expo Silicon Valley All-Star Speakers Include

    RICHARDS
    Venafi

    SINGH
    IBM

    NIELSON
    Redis Labs

    FRIEDMAN
    Edge

    THIELE
    Apcera

    MONTE-
    CILLO

    IBM

    SPROULE
    Metavine

    REUVENI
    Jet

    CHITTURI
    Sungard

    CEPPI
    Canonical

    HAFF
    Red Hat

    CHAMBLISS
    ReadyTalk

    BLACK
    SQLstream

    KOCHER
    Grey Heron

    VISWA-
    NATHAN

    Cognizant

    LARSSON
    Qosmos

    COHEN
    Institute

    SCHEELE
    Loodse

    FEATHER-
    STON

    Collaborative
    Consulting

    SEHGAL
    Tintri

    SRINIVAS
    IBM

    AHUJA
    Impiger

    SUDH-
    AKAR

    Splunk

    TISH-
    GART

    Cloudera

    KENDRICK
    Isomorphic

    KUCKEIN
    DDN

    RAVE
    Teridion

    CHOU
    Microsoft

    SHARIF
    Aporeto

    JAME-
    NSKY

    Embotics

    JENKINS
    IBM

    DOYLE
    eCube

    THOM-
    CHICK

    Symantec

    BRENTON
    CollabNet

    BERCO-
    VICI

    SolidFire

    BABIN
    Kaltura

    MORAN
    BMC

    CASEY
    CFN

    ZHENG
    CDS

    DEMEO
    Alfresco

    STIGTER
    TIBCO

    LEUFFEN
    Wrecker

    ROGERS
    Anexia

    NEW
    HOUSE

    Agilitiv

    DE MENO
    Commvault

    VAN TUIN
    Red Hat

    LIANG
    Rancher Labs

    MURTHY
    Cloud Raxak

    REMIL-
    LARD

    Microsoft

    MANN
    Splunk

    ROWE
    IBM Cloud

    SKILLERN
    Intel

    ALLEN
    Progress

    BENEDICT
    Cognizant
    Cloud Expo New York All-Star Speakers Include

    DE MENO
    Commvault

    ERWAY
    Appneta

    OXENHORN
    FalconStor

    HINCH-
    CLIFFE

    7Summits

    DOYLE
    eCube

    CHAVES
    Pythian

    BLOOMBERG
    Intellyx

    BUGAYENKO
    Teamed.io

    LAWSON
    NewSci

    HAFF
    RedHat

    HOLT
    IBM

    Jewell
    Codenvy

    MORGENTHAL
    CSC

    ARMSTRONG
    AppNeta

    DWYER
    Iron.io

    MATSUMURA
    Gradle

    WARFIELD
    Coho

    GRECO
    Kaazing

    PRESLEY
    Pythian

    LOVELL-TROY
    Pythian

    ATCHISON
    New Relic

    BHUSVANE-
    SHWARI

    Microsoft

    GUCCIONE
    Keeper

    FLOREA
    Tintri

    KERBY
    BMC

    RAO
    Asurion

    BRENTON
    CollabNet

    SRINIVASAN
    Symantec

    GALBRAITH
    HPE

    NEWTON
    Alfresco

    ROGERS
    Anexia

    MORRISH
    Interoute

    TIFFANY
    SoftLayer

    OSTROVER-
    KHYI

    Mobidev

    LEWIS
    Formation
    Data

    KENDRICK
    Isomorphic

    REEVES
    Datical

    WALLER-
    STORFER

    Dynatrace

    CIOT
    Progress

    MOR
    Cloudyn

    LEFORT
    BMC

    ANDERSON
    BMC

    BRODY
    Webair

    NIELSEN
    Redis Labs

    SEHGAL
    Tintri

    MANN
    Splunk

    YOO
    Fuze

    COTY
    Alert Logic

    LANDA
    Kintone

    CHOQUETTE
    RackN

    MARTIN
    Security

    HURWITZ
    Hurwitz & Assc.

    Cloud Expo Silicon Valley All-Star Speakers Include

    KOWALL
    AppDynamics

    VAN TUIN
    Red Hat

    DEMMER
    Jut

    COHEN
    Netflix

    MUCHANDI
    Red Hat Inc

    BORELLO
    Sysdig

    GILPIN
    Conjur

    KANADE
    Harbinger
    Systems

    GORBACHEV
    Systems
    Services Inc.

    SUSSMAN
    Coalfire

    KHAN
    Solgeniakhela

    CHOKSI
    Harbinger
    Systems

    DE MENO
    CommVault

    BLOOMBERG
    Intellyx

    BUGWADIA
    Nirmata

    COTY
    Alert Logic

    FLETCHER
    Alert Logic

    CAUTHRON
    NIMBOXX

    LYNN
    AgilData

    WAGNER
    Cloudyn

    ANAND
    Appocito

    WEISS
    Pythian

    BRODY
    Webair

    JACKSON
    Softlayer

    DAVIDSON
    Juniper

    HOFFMAN
    Pivotal

    VERVAET
    HGST

    Murthy
    CloudRaxak

    FRANCISCO
    Evolute

    LETCHIN
    Nexenta

    SIMON
    JFrog

    BONIFAZI
    Solgenia

    WEISS
    ProfitBricks

    HOLT
    IBM

    HANNON
    SoftLayer

    GALLO
    SoftLayer

    SAYEGH
    Codero

    BIMMU
    Clouber

    SRINIVAS
    IBM

    CHAVAN
    IBM

    HEDGES
    Clouddata

    AHUJA
    Cloud

    MEINER
    Oracle

    SWARTZ
    Ericsson
    Cloud Expo New York All-Star Speakers Included

    DE SOUZA
    Cisco

    POTTER
    SafeLogic

    ROBINSON
    CompTIA

    WARUSA
    -WITHANA

    WSO2 Inc

    MEINER
    Oracle

    CHOU
    Microsoft

    HARRISON
    Tufin

    BRUNOZZI
    VMware

    KIM
    MapR

    KANE
    Dyn

    SICULAR
    Basho

    TURNER
    Cloudian

    KUMAR
    Liaison

    ADAMIAK
    Liaison

    KHAN
    Solgenia

    BONIFAZI
    Solgenia

    SUSSMAN
    Coalfire

    ISAACSON
    RMS

    LYNN
    CodeFutures

    HEABERLIN
    Windstream

    RAMA
    MURTHY

    Virtusa

    BOSTOCK
    IndependenceIT

    DE MENO
    CommVault

    GRILLI
    Adobe

    WILLIAMS
    Rancher Labs

    CRISWELL
    Alert Logic

    COTY
    Alert Logic

    JACOBS
    SingleHop

    MARAVEI
    Cisco

    JACKSON
    Softlayer

    SINGH
    IBM

    HAZARD
    Softlayer

    GALLO
    Softlayer

    TAMASKAR
    GENBAND

    SUBRA
    -MANIAN

    Emcien

    LEVESQUE
    Windstream

    IVANOV
    StorPool

    BLOOMBERG
    Intellyx

    BUDHANI
    Soha

    HATHAWAY
    IBM Watson

    TOLL
    ProfitBricks

    LANDRY
    Microsoft

    BEARFIELD
    Blue Box

    HERITAGE
    Akana

    PILUSO
    SIASMSP

    HOLT
    IBM Cloudant

    SHAN
    CTS

    PICCININNI
    EMC

    BRON-
    GERSMA

    Modulus

    PAIGE
    CenturyLink

    SABHIKHI
    Cognitive Scale

    MILLS
    Green House Data

    KATZEN
    CenturyLink

    SLOPER
    CenturyLink

    SRINIVAS
    EMC

    TALREJA
    Cisco

    GORBACHEV
    Systems Services Inc.

    COLLISON
    Apcera

    PRABHU
    OpenCrowd

    LYNN
    CodeFutures

    SWARTZ
    Ericsson

    MOSHENKO
    CoreOS

    BERMINGHAM
    SIOS

    WILLIS
    Stateless Networks

    MURPHY
    Gridstore

    KHABE
    Vicom

    NIKOLOV
    GetClouder

    DIETZE
    Windstream

    DALRYMPLE
    EnterpriseDB

    MAZZUCCO
    TierPoint

    RIVERA
    WHOA.com

    HERITAGE
    Akana

    SEYMOUR
    6fusion

    GIANNETTO
    Author

    CARTER
    IBM

    ROGERS
    Virtustream
    Cloud Expo Silicon Valley All-Star Speakers

    TESAR
    Microsoft

    MICKOS
    HP

    BHARGAVA
    Intel

    RILEY
    Riverbed

    DEVINE
    IBM

    ISAACSON
    CodeFutures

    LYNN
    HP

    HINKLE
    Citrix

    KHAN
    Solgenia

    SINGH
    Bigdata

    BEACH
    SendGrid

    BOSTOCK
    IndependenceIT

    DE SOUZA
    Cisco

    PATTATHIL
    Harbinger

    O'BRIEN
    Aria Systems

    BONIFAZI
    Solgenia

    BIANCO
    Solgenia

    PROCTOR
    NuoDB

    DUGGAL
    EnterpriseWeb

    TEGETHOFF
    Appcore

    BRUNOZZI
    VMware

    HICKENS
    Parasoft

    KLEBANOV
    Cisco

    PETERS
    Esri

    GOLDBERG
    Vormetric

    CUMBER-
    LAND

    Dimension

    ROSENDAHL
    Quantum

    LOOMIS
    Cloudant

    BRUNO
    StackIQ

    HANNON
    SoftLayer

    JACKSON
    SoftLayer

    HOCH
    Virtustream

    KAPADIA
    Seagate

    PAQUIN
    OnLive

    TSAI
    Innodisk

    BARRALL
    Connected Data

    SHIAH
    AgilePoint

    SEGIL
    Verizon

    PODURI
    Citrix

    COWIE
    Dyn

    RITTEN-
    HOUSE

    Cisco

    FALLOWS
    Kaazing

    THYKATTIL
    TimeWarner

    LEIDUCK
    SAP

    LYNN
    HP

    WAGSTAFF
    BSQUARE

    POLLACK
    AOL

    KAMARAJU
    Vormetric

    BARRY
    Catbird

    MENDEN-
    HALL

    SUPERNAP

    SHAN
    KEANE

    PLESE
    Verizon

    BARNUM
    Voxox

    TURNER
    Cloudian

    CALDERON
    Advanced Systems

    AGARWAL
    SOA Software

    LEE
    Quantum

    OBEROI
    Concurrent, Inc.

    HATEM
    Verizon

    GALEY
    Autodesk

    CAUTHRON
    NIMBOXX

    BARSOUM
    IBM

    GORDON
    1Plug

    LEWIS
    Verizon

    YEO
    OrionVM

    NAKAGAWA
    Transparent Cloud Computing

    SHIBATA
    Transparent Cloud Computing

    NATH
    GE

    GOKCEN
    GE

    STOICA
    Databricks

    TANKEL
    Pivotal Software



    Testimonials
    This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
    @SteveMar_Msft
    General Manager of Window Azure
     
    How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
    @SOASoftwareInc
     
    Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
    Yasser Khan
    CEO of @Cnnct2me
     
    One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

    @Peak_Ten


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    @CloudExpo Blogs
    IBM helps FinTechs and financial services companies build and monetize cognitive-enabled financial services apps quickly and at scale. Hosted on IBM Bluemix, IBM’s platform builds in customer insights, regulatory compliance analytics and security to help reduce development time and testing. In his session at 20th Cloud Expo, Tom Eck, Industry Platforms CTO at IBM Cloud, will discuss how these tools simplify the time-consuming tasks of selection, mapping and data integration, allowing developers to use IBM services or combine them with their own data.
    Most DevOps journeys involve several phases of maturity. Research shows that the inflection point where organizations begin to see maximum value is when they implement tight integration deploying their code to their infrastructure. Success at this level is the last barrier to at-will deployment. Storage, for instance, is more capable than where we read and write data. In his session at @DevOpsSummit at 20th Cloud Expo, Josh Atwell, a Developer Advocate for NetApp, will discuss the role and value extensible storage infrastructure has in accelerating software development activities, improve code...
    SYS-CON Events announced today that EARP Integration will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. EARP Integration is a passionate software house. Since its inception in 2009 the company successfully delivers smart solutions for cities and factories that start their digital transformation. EARP provides bespoke solutions like, for example, advanced enterprise portals, business intelligence systems and mobile applications for international enterprises across different sectors such as Energy and Util...
    The 21st International Cloud Expo has announced that its Call for Papers is open. Cloud Expo, to be held October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, brings together Cloud Computing, Big Data, Internet of Things, DevOps, Digital Transformation, Machine Learning and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding business opportunity. Submit your speaking proposal today!
    Interested in leveling up on your Cloud Foundry skills? Join IBM for Cloud Foundry Days on June 7 at Cloud Expo New York at the Javits Center in New York City. Cloud Foundry Days is a free half day educational conference and networking event. Come find out why Cloud Foundry is the industry's fastest-growing and most adopted cloud application platform.
    Industry after industry is under siege as companies embrace digital transformation (DX) to disrupt existing business models and disintermediate their competitor’s customer relationships. But what do we mean by “Digital Transformation”? The coupling of granular, real-time data (e.g., smartphones, connected devices, smart appliances, wearables, mobile commerce, video surveillance) with modern technologies (e.g., cloud native apps, big data architectures, hyper-converged technologies, artificial intelligence, blockchain) to enhance products, processes, and business-decision making with customer, ...
    DevOps is often described as a combination of technology and culture. Without both, DevOps isn't complete. However, applying the culture to outdated technology is a recipe for disaster; as response times grow and connections between teams are delayed by technology, the culture will die. A Nutanix Enterprise Cloud has many benefits that provide the needed base for a true DevOps paradigm.
    Cloud applications are seeing a deluge of requests to support the exploding advanced analytics market. “Open analytics” is the emerging strategy to deliver that data through an open data access layer, in the cloud, to be directly consumed by external analytics tools and popular programming languages. An increasing number of data engineers and data scientists use a variety of platforms and advanced analytics languages such as SAS, R, Python and Java, as well as frameworks such as Hadoop and Spark. Cloud APIs are commonly designed to support application integration representing a disconnect with...
    A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, which can process our conversational commands and orchestrate the outcomes we request across our persona...
    New competitors, disruptive technologies, and growing expectations are pushing every business to both adopt and deliver new digital services. This ‘Digital Transformation’ demands rapid delivery and continuous iteration of new competitive services via multiple channels, which in turn demands new service delivery techniques – including DevOps. In this power panel at @DevOpsSummit 20th Cloud Expo, moderated by DevOps Conference Co-Chair Andi Mann, panelists will examine how DevOps helps to meet the demands of Digital Transformation – including accelerating application delivery, closing feedback ...
    SYS-CON Events announced today that delaPlex will exhibit at SYS-CON's @ThingsExpo, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. delaPlex pioneered Software Development as a Service (SDaaS), which provides scalable resources to build, test, and deploy software. It’s a fast and more reliable way to develop a new product or expand your in-house team.
    The Internet of Things (IoT) promises to change everything by enabling “smart” environments (homes, cities, hospitals, schools, stores, etc.) and smart products (cars, trucks, airplanes, trains, wind turbines, lawnmowers, etc.). I recently wrote about the importance of moving beyond “connected” to “smart” in a blog titled “Internet of Things: Connected Does Not Equal Smart”. The article discusses the importance of moving beyond just collecting the data, to transitioning to leveraging this new wealth of IoT data to improve the decisions that these smart environments and products need to make: t...
    The help desk forms the backbone of IT operations for many federal, state and local government agencies. In fact, the cross-functional nature of its operation means the help desk directly impacts productivity and is an essential part of what enables an agency to meet its stakeholder needs. However, owing to increasingly complex IT environments, managers struggle to ensure that their help desks are operating at optimum efficiency. This seven-point guide will help IT managers ensure their help desks deliver exceptional service while maximizing productivity.
    Multiple data types are pouring into IoT deployments. Data is coming in small packages as well as enormous files and data streams of many sizes. Widespread use of mobile devices adds to the total. In this power panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists will look at the tools and environments that are being put to use in IoT deployments, as well as the team skills a modern enterprise IT shop needs to keep things running, get a handle on all this data, and deliver the analytics that add value.
    SYS-CON Events announced today that SoftLayer, an IBM Company, has been named “Gold Sponsor” of SYS-CON's 18th Cloud Expo, which will take place on June 7-9, 2016, at the Javits Center in New York, New York. SoftLayer, an IBM Company, provides cloud infrastructure as a service from a growing number of data centers and network points of presence around the world. SoftLayer’s customers range from Web startups to global enterprises.
    In his opening keynote at 20th Cloud Expo, Michael Maximilien, Research Scientist, Architect, and Engineer at IBM, will motivate why realizing the full potential of the cloud and social data requires artificial intelligence. By mixing Cloud Foundry and the rich set of Watson services, IBM's Bluemix is the best cloud operating system for enterprises today, providing rapid development and deployment of applications that can take advantage of the rich catalog of Watson services to help drive insights from the vast trove of private and public data available to enterprises.
    It has never been a better time to be a developer! Thanks to cloud computing, deploying our applications is much easier than it used to be. How we deploy our apps continues to evolve thanks to cloud hosting, Platform-as-a-Service (PaaS), and now Function-as-a-Service. FaaS is the concept of serverless computing via serverless architectures. Software developers can leverage this to deploy an individual "function", action, or piece of business logic. They are expected to start within milliseconds and process individual requests and then the process ends.
    SYS-CON Events announced today that Cloud Academy will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Cloud Academy is the industry’s most innovative, vendor-neutral cloud technology training platform. Cloud Academy provides continuous learning solutions for individuals and enterprise teams for Amazon Web Services, Microsoft Azure, Google Cloud Platform, and the most popular cloud computing technologies. Get certified, manage the full lifecycle of your cloud-based resources, and build your knowledge based...
    There are two main reasons for infrastructure automation. First, system administrators, IT professionals and DevOps engineers need to automate as many routine tasks as possible. That’s why we build tools at Stackify to help developers automate processes like application performance management, error monitoring, and log management; automation means you have more time for mission-critical tasks. Second, automation makes the management of complex, diverse environments possible and allows rapid scaling.
    Van Andel Institute has a 20-year legacy of biomedical research and scientific education with a focus on improving health and enhancing the lives of current and future generations. Formed in 1996 by Jay and Betty Ann Van Andel, the Grand Rapids, Michigan-based organization has evolved into a premier center for research and education that supports more than 360 scientists, educators, and staff. At Van Andel Research Institute (VARI), a dedicated team works tirelessly to determine the epigenetic, genetic, molecular and cellular origins of cancer, Parkinson’s and other diseases. Using state-of-...