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On Amazon Prime Video’s move to a monolith May 14, 2023 One size does not fit all: neither cloud nor on-prem Apr 10, 2023 Comparing AWS SQS, SNS, and Kinesis: A Technical Breakdown for Enterprise Developers Feb 11, 2023 Stop Shakespearizing Sep 16, 2022 Using GNU Make with JavaScript and Node.js to build AWS Lambda functions Sep 4, 2022 Monolithic repository vs a monolith Aug 23, 2022 Keep your caching simple and inexpensive Jun 12, 2022 Java is no longer relevant May 29, 2022 There is no such thing as one grand unified full-stack programming language May 27, 2022 Best practices for building a microservice architecture Apr 25, 2022 TypeScript is a productivity problem in and of itself Apr 20, 2022 In most cases, there is no need for NoSQL Apr 18, 2022 Node.js and Lambda deployment size restrictions Mar 1, 2021 Should we abolish Section 230 ? Feb 1, 2021 TDWI 2019: Architecting Modern Big Data API Ecosystems May 30, 2019 Microsoft acquires Citus Data Jan 26, 2019 Which AWS messaging and queuing service to use? Jan 25, 2019 Using Markov Chain Generator to create Donald Trump's state of union speech Jan 20, 2019 Let’s talk cloud neutrality Sep 17, 2018 A conservative version of Facebook? Aug 30, 2018 TypeScript starts where JavaScript leaves off Aug 2, 2017 Design patterns in TypeScript: Chain of Responsibility Jul 22, 2017 I built an ultimate development environment for iPad Pro. Here is how. Jul 21, 2017 Rather than innovating Walmart bullies their tech vendors to leave AWS Jun 27, 2017 Emails, politics, and common sense Jan 14, 2017 Don't trust your cloud service until you've read the terms Sep 27, 2016 I am addicted to Medium, and I am tempted to move my entire blog to it Sep 9, 2016 What I learned from using Amazon Alexa for a month Sep 7, 2016 Amazon Alexa is eating the retailers alive Jun 22, 2016 In search for the mythical neutrality among top-tier public cloud providers Jun 18, 2016 What can we learn from the last week's salesforce.com outage ? May 15, 2016 Why it makes perfect sense for Dropbox to leave AWS May 7, 2016 Managed IT is not the future of the cloud Apr 9, 2016 JavaScript as the language of the cloud Feb 20, 2016 Our civilization has a single point of failure Dec 16, 2015 Operations costs are the Achille's heel of NoSQL Nov 23, 2015 IT departments must transform in the face of the cloud revolution Nov 9, 2015 Setting Up Cross-Region Replication of AWS RDS for PostgreSQL Sep 12, 2015 Top Ten Differences Between ActiveMQ and Amazon SQS Sep 5, 2015 Ten Questions to Consider Before Choosing Cassandra Aug 8, 2015 The Three Myths About JavaScript Simplicity Jul 10, 2015 Big Data is not all about Hadoop May 30, 2015 Smart IT Departments Own Their Business API and Take Ownership of Data Governance May 13, 2015 Guaranteeing Delivery of Messages with AWS SQS May 9, 2015 We Need a Cloud Version of Cassandra May 7, 2015 Building a Supercomputer in AWS: Is it even worth it ? Apr 13, 2015 Ordered Sets and Logs in Cassandra vs SQL Apr 8, 2015 Exploration of the Software Engineering as a Profession Apr 8, 2015 Finding Unused Elastic Load Balancers Mar 24, 2015 Where AWS Elastic BeanStalk Could be Better Mar 3, 2015 Trying to Replace Cassandra with DynamoDB ? Not so fast Feb 2, 2015 Why I am Tempted to Replace Cassandra With DynamoDB Nov 13, 2014 How We Overcomplicated Web Design Oct 8, 2014 Infrastructure in the cloud vs on-premise Aug 25, 2014 Cassandra: a key puzzle piece in a design for failure Aug 18, 2014 Cassandra: Lessons Learned Jun 6, 2014

Managed IT is not the future of the cloud

April 9, 2016

This article was originally published on my Cloud Power blog at Computerworld on November 10th, 2015

On October 21st, 2015, HP officially announced what many of us anticipated for months. After months of denials and flip-flopping they will shut down their HP Helion Public Cloud service. How does their SLA stack up against other cloud providers now ?

The problem with HP’s cloud strategy was simple:
In April 2015, Hilf told the New York Times. “We thought people would rent or buy computing from us. It turns out that it makes no sense for us to go head-to-head.”

HP offered a small subset of features cloud adopters look for. Their compute service offered a fraction of what AWS EC2 service does, at prices starting at 3-times those of EC2. Their relational database service never came out of public beta. Their storage services were pitiful compared to AWS storage options. They never offered any of the application-level services. Ultimately it was the lack of direction that undermined them:
It wasn’t a mistake to get into public cloud, but the failure came from keeping the product in beta so long and not being clear with a strategy that said why it was better, faster or cheaper than what was out there, Bartoletti said.

HP is a force to reckon with in the enterprise server market. For HP enterprise customers of today HP cloud may have made sense. It offered them a palatable transition to the cloud without giving up their investment into on-premise. Much like IBM in the 1980s and Microsoft in the 1990s, HP appealed to the C-suite. To paraphrase an old bit of wisdom, noone got fired from an enterprise IT department for picking HP.

Large enterprises of tomorrow are small start-ups of today. When they set out to build something they do not go to HP. They go to Google, AWS, or Azure. Each of these offer services that go beyond the basic compute and networking infrastructure. They do so in ways that appeal to application developers.

In a comment on my IT transformation post Twitter user @ejohnfel said the following:
Second, certainly old-timey IT has to get used to the idea of moving the whole operation into the cloud, the reality is, the cloud only dislocates the physical hardware, the power and cooling requirements.

That is the type of thinking about cloud computing that HP counted on. Networking, servers, storage, and relational databases are the basic building blocks of application infrastructure. They are important but what makes or breaks the cloud is a universe of APIs and services for building applications. IBM, another big player in the enterprise IT market, knows this.

The attraction of the public cloud is in the following:

  • Automation of all tasks and programmatic access to all capabilities of the platform

  • Server-less compute model, i.e. AWS Lambda, Heroku, Google App Engine, and to a certain extent Docker

  • Managed database products by use case: SQL, NoSQL, caching, analytics and warehousing

  • Managed data processing services such as queuing, map-reduce, streaming, etc.

  • Third party developer APIs such as Office 365, Salesforce, Google Apps, Evernote, Dropbox, etc.

  • Open analytics APIs such as AWS Machine Learning, IBM Watson, and similar products by Google and Microsoft.


Application developers want to build applications. They do not want to manage infrastructure or take part in IT red tape. Where HP cloud could not succeed is at appealing to developers. They did not offer application services. They did not make it easy for citizen developers to build applications without IT bureaucracy.

HP cloud failure is a lesson to all trying to build IaaS, PaaS and SaaS clouds for their customers. Managed IT is not the future. Server-less apps, APIs and algorithms are.