Personal blog of Yzmir Ramirez

Twitter has a lot going on, and it’s not always easy to manage that kind of scale on your own. Today, Amazon announced that Twitter has signed a multi-year agreement with AWS to run its real-time timelines. It’s a major win for Amazon’s cloud arm.

While the companies have worked together in some capacity for over a decade, this marks the first time that Twitter is tapping AWS to help run its core timelines.

“This expansion onto AWS marks the first time that Twitter is leveraging the public cloud to scale their real-time service. Twitter will rely on the breadth and depth of AWS, including capabilities in compute, containers, storage and security, to reliably deliver the real-time service with the lowest latency, while continuing to develop and deploy new features to improve how people use Twitter,” the company explained in the announcement.

Parag Agrawal, chief technology officer at Twitter, sees this as a way to expand and improve the company’s real-time offerings by taking advantage of AWS’s network of data centers to deliver content closer to the user. “The collaboration with AWS will improve performance for people who use Twitter by enabling us to serve Tweets from data centers closer to our customers at the same time as we leverage the Arm-based architecture of AWS Graviton2 instances. In addition to helping us scale our infrastructure, this work with AWS enables us to ship features faster as we apply AWS’s diverse and growing portfolio of services,” Agrawal said in a statement.

It’s worth noting that Twitter also has a relationship with Google Cloud. In 2018, it announced it was moving its Hadoop clusters to GCP.

This announcement could be considered a case of the rich getting richer as AWS is the leader in the cloud infrastructure market by far, with around 33% market share. Microsoft is in second with around 18% and Google is in third with 9%, according to Synergy Research. In its most recent earnings report, Amazon reported $11.6 billion in AWS revenue, putting it on a run rate of over $46 billion.

 Adobe likes to talk about its public cloud partnerships with Microsoft and others, but it doesn’t often talk about its private cloud strategy. It’s no secret that there are plenty of good reasons for using a private data center and Adobe manages a few of these around the globe. For most businesses, opting for a private cloud comes down to cost, but for Adobe’s Advertising… Read More

Join Percona’s CEO and Founder Peter Zaitsev as he presents MySQL In the Cloud: Migration, Best Practices, High Availability, Scaling on Wednesday, June 7, 2017, at 10 am PDT / 1:00 pm EDT (UTC-7).

Businesses are moving many of the systems and processes they once owned to offsite “service” models: Platform as a Service (PaaS), Software as a Service (SaaS), Infrastructure as a Service (IaaS), etc. These services are usually referred to as being “in the cloud” – meaning that the infrastructure and management of the service in question are not maintained by the enterprise using the service.

When it comes to database environment and infrastructure, more and more enterprises are moving to MySQL in the cloud to manage this vital part of their business organization. We often refer to database services provided in the cloud as Database as a Service (DBaaS). The next question after deciding to move your database to the cloud is “How to I plan properly to as to avoid a disaster?”

Before moving to the cloud, it is important to carefully define your database needs, plan for the migration and understand what putting a solution into production entails. This webinar discusses the following subjects on moving to the cloud:

• Public and private cloud
• Migration to the cloud
• Best practices
• High availability
• Scaling

Register for the webinar here.

Peter Zaitsev, Percona CEO and Founder

Peter Zaitsev co-founded Percona and assumed the role of CEO in 2006. As one of the foremost experts on MySQL strategy and optimization, Peter leveraged both his technical vision and entrepreneurial skills to grow Percona from a two-person shop to one of the most respected open source companies in the business. With over 150 professionals in 20+ countries, Peter’s venture now serves over 3000 customers – including the “who’s who” of internet giants, large enterprises and many exciting startups. Percona was named to the Inc. 5000 in 2013, 2014 and 2015.

Peter was an early employee at MySQL AB, eventually leading the company’s High Performance Group. A serial entrepreneur, Peter co-founded his first startup while attending Moscow State University where he majored in Computer Science. Peter is a co-author of High Performance MySQL: Optimization, Backups, and Replication, one of the most popular books on MySQL performance. Peter frequently speaks as an expert lecturer at MySQL and related conferences, and regularly posts on the Percona Database Performance Blog. Fortune and DZone often tap Peter as a contributor, and his recent ebook Practical MySQL Performance Optimization is one of percona.com’s most popular downloads.

Today at Percona Live 2017, the afternoon is jam-packed with open source technology lectures filled with community members eager for the latest on the best strategies – including how you should deploy MongoDB on public clouds.

Dharshan Rangegowda (CEO of ScaleGrid) discussed deploying MongoDB on public clouds. ScaleGrid provides a fully managed Database-as-a-Service (DBaaS) solution used today by thousands of developers, startups, and enterprise customers. In this session, Dharshan talked about how public clouds like AWS and Azure have become very popular platforms over the past few years. These public clouds provide a plethora of infrastructure features to help make life easier, He dug into the features/assets that one should be actively leveraging.

On the flip side, there are also a number of potential pitfalls that require attention and might need a workaround. Dharshan reviewed some common architecture patterns you need to have in place to be successful with MongoDB on the public cloud, including high availability, disaster recovery, scaling, performance and others.

After the lecture, Dharshan was kind enough to talk briefly with me about his session. Check it out:

Don’t miss any of tomorrow’s talks! You can find Thursday’s (4/27) session schedule here.