Apache Cassandra Management
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Ben Bromhead is the co-founder and CTO of Instaclustr, which provides Cassandra-as-a-Service. Instaclustr manages 50+ Cassandra nodes for customers. Early on, Instaclustr encountered issues like a Cassandra bug causing assertion errors for large column names and had to perform an emergency migration for a customer whose self-managed cluster was down for 48 hours. Migrations and real-world usage revealed new challenges compared to initial perfect test scenarios.
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· what will be the replication lag, or how long will it take for each mutation to propagate?
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Abstract A brief intro to how Barracuda Networks uses Cassandra and the ways in which they are replacing their MySQL infrastructure, with Cassandra. This presentation will include the lessons they've learned along the way during this migration.
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This document provides an introduction to NoSQL and Cassandra. It begins with an introduction of the presenter and an overview of what will be covered. It then discusses the history of databases and why alternatives to relational databases were needed to address challenges of scaling to internet-level data volumes, varieties, and velocities. It introduces key NoSQL concepts like CAP theorem, BASE, and the different types of NoSQL databases before focusing on Cassandra. The document summarizes Cassandra's origins, capabilities, data model involving column families and super column families, and architecture.
Cassandra Community Webinar: MySQL to Cassandra - What I Wish I'd Known
A brief intro to how Barracuda Networks uses Cassandra and the ways in which they are replacing their MySQL infrastructure, with Cassandra. This presentation will include the lessons they've learned along the way during this migration.
Speaker: Michael Kjellman, Software Engineer at Barracuda Networks
Michael Kjellman is a Software Engineer, from San Francisco, working at Barracuda Networks. Michael works across multiple products, technologies, and languages. He primarily works on Barracuda's spam infrastructure and web filter classification data.
Making communication across boundaries simple with Azure Service Bus
There are times when you should consider setting up secure communications between your software components across network boundaries.
Here are just a few:
* Your application is enormous (e.g., the global deployment of a marketing site targeting billions of people)
* Remoteness (e.g., your company has branch office locations around the globe)
* Your network constraints prevent communication (e.g., your machines in Azure Cloud Services are unable to talk to each other directly)
* You don't know the network conditions (e.g., IoT or mobile devices)
Yves Goeleven and Sean Feldman show how to overcome such challenges using Azure Service Bus.
mParticle's Journey to Scylla from Cassandra
mParticle processes 50 billion monthly messages and needed a data store that provides full availability and performance. They previously used Cassandra but faced issues with high latency, complicated tuning, and backlogs of up to 20 hours. They tested Scylla and found it provided significantly lower latency and compaction backlogs with minimal tuning needed. Scylla also offered knowledgeable support. mParticle migrated their data from Cassandra to Scylla, which immediately kept up with their data loads with little to no backlog.
From AWS to Series A in 5 Easy Pieces
Venture capitalist Matt Ocko’s 20-year track record of success in the startup world has given him unique insight into how AWS has changed the venture financing process. In this session, you’ll learn about industries susceptible to disruption by AWS-based startups, and where VCs are willing to take new risks on those startups, including the heavily-regulated medical, government, financial, and industrial sectors. Matt will talk about how new, supercomputing startups are now possible because of AWS technologies. Hear about how using AWS technologies can actually reduce risk – and reduce time to customer penetration – from a VC perspective, and how to go from ‘AWS to Series A’ in 5 easy pieces.
Yow Conference Dec 2013 Netflix Workshop Slides with Notes
This document provides an overview and agenda for a workshop on patterns for continuous delivery, high availability, DevOps and cloud native development using NetflixOSS open source tools and frameworks. The presenter introduces himself and his background. The content covers Netflix's architecture evolution from monolithic to microservices, how Netflix scales on AWS, and principles and outcomes that enable cloud native development. The workshop then dives into specific NetflixOSS projects like Eureka, Cassandra, Zuul and Hystrix that help with service discovery, data storage, routing and availability. Tools for deployment, configuration, cost analysis and developer productivity are also discussed.
Webinar: The Future of SQL
NoSQL databases like MongoDB, Elasticsearch, and Cassandra are synonymous with scalability, search, and developer agility. But there’s a downside...having to give up the ease and comfort of SQL.
Or do you?
Join this webcast to learn how the newest databases, like CrateDB and CockroachDB deliver the benefits of NoSQL with the ease of SQL by building SQL engines on top of custom NoSQL technology stacks. Database industry veteran Andy Ellicott, who helped launch Vertica, VoltDB, Cloudant, and now with Crate.io, will provide a no-BS view of current DBMS architectures and predictions for the future of data.
If you’re a DBMS user, this webcast will help you make sense of a very crowded DBMS market and make better-informed decisions for your new tech stacks.
Cloudstack: the best kept secret in the cloud
Apache CloudStack is a scalable, multi-tenant, open-source cloud orchestration platform that provides infrastructure as a service. It has been in widespread production use for over 6 years, powering major public clouds and enterprise private clouds. Despite its proven track record and growing user community, CloudStack remains relatively unknown compared to other open-source cloud platforms.
Lc3 beijing-june262018-sahdev zala-guangya
Our slides deck, used at the LinuxCon+ContainerCon+CLOUDOPEN China 2018, on Kubernetes cluster design considerations and our journey to 1000+ node single cluster with IBM Cloud.
AWS re:Invent 2016: Get Technically Inspired by Container-Powered Migrations ...
This session is a technical journey through application migration and refactoring using containerized technologies. Flux 7 recently worked with Rent-a-Center to perform a Hybris migration from their datacenter to AWS and you can hear how they used Amazon ECS, the new Application Load Balancer, and Auto Scaling to meet the customers' business objectives.
SmugMug: From MySQL to Amazon DynamoDB (DAT204) | AWS re:Invent 2013
SmugMug.com is a popular hosting and commerce platform for photo enthusiasts with hundreds of thousands of subscribers and millions of viewers. Learn now SmugMug uses Amazon DynamoDB to provide customers detailed information about millions of daily image and video views. Smugmug shares code and information about their stats stack, which includes an HTTP interface to Amazon DynamoDB and also interfaces with their internal PHP stack and other tools such as Memcached. Get a detailed picture of lessons learned and the methods SmugMug uses to create a system that is easy to use, reliable, and high performing.
Netflix presents at MassTLC Cloud Summit 2013
Ariel Tseitlin, Director of the Netflix Cloud presented on the elasticity and redundancy of its Cloud service.
How to achieve no compromise performance and availability
ScyllaDB co-founders Dor Laor and Avi Kivity discuss why they started ScyllaDB, the decision decisions they made to achieve no-compromise performance and availability, and give a demo on how to get up and running on Docker.
Apache Cassandra in the Cloud
Instaclustr provides Cassandra as a service running in the cloud on AWS and Azure. It allows companies to focus on their applications instead of managing Cassandra infrastructure. Instaclustr's fully managed service handles deploying and operating Cassandra clusters in the cloud at global scale. An advertising company was able to improve the performance of their application serving targeted ads by moving their Cassandra cluster to Instaclustr's cloud service for flexibility and reduced management burden.
The hardest part of microservices: your data
Microservices architecture is a very powerful way to build scalable systems optimized for speed of change. To do this, we need to build independent, autonomous services which by definition tend to minimize dependencies on other systems. One of the tenants of microservices, and a way to minimize dependencies, is “a service should own its own database”. Unfortunately this is a lot easier said than done. Why? Because: your data.
We’ve been dealing with data in information systems for 5 decades so isn’t this a solved problem? Yes and no. A lot of the lessons learned are still very relevant. Traditionally, we application developers have accepted the practice of using relational databases and relying on all of their safety guarantees without question. But as we build services architectures that span more than one database (by design, as with microservices), things get harder. If data about a customer changes in one database, how do we reconcile that with other databases (especially where the data storage may be heterogenous?).
For developers focused on the traditional enterprise, not only do we have to try to build fast-changing systems that are surrounded by legacy systems, the domains (finance, insurance, retail, etc) are incredibly complicated. Just copying with Netflix does for microservices may or may not be useful. So how do we develop and reason about the boundaries in our system to reduce complexity in the domain?
In this talk, we’ll explore these problems and see how Domain Driven Design helps grapple with the domain complexity. We’ll see how DDD concepts like Entities and Aggregates help reason about boundaries based on use cases and how transactions are affected. Once we can identify our transactional boundaries we can more carefully adjust our needs from the CAP theorem to scale out and achieve truly autonomous systems with strictly ordered eventual consistency. We’ll see how technologies like Apache Kafka, Apache Camel and Debezium.io can help build the backbone for these types of systems. We’ll even explore the details of a working example that brings all of this together.
CloudstackDay Brazil - The best kept secret in the cloud
Giles Sirett is the CEO of ShapeBlue, a company that provides consulting and support for the Apache CloudStack open source cloud orchestration platform. CloudStack is a scalable and multi-tenant cloud platform that can deliver infrastructure-as-a-service clouds. It has over 300 production deployments, supports various hypervisors, and powers major public clouds and enterprise private clouds. However, CloudStack still remains relatively unknown despite its maturity and production use, which Sirett attributes to being in the wrong place at the wrong time early on.
Camunda and Apache Cassandra
ContextSpace is working to develop and support an open source implementation of the Camunda core engine that persists all if its data to Cassandra. This development addresses issues of ACID as well as approaches to lock management. ContextSpace plans to integrate this implementation with its own product offering in order to expose data and events generated from its identity, security, roles, messaging and contextual user activities to be managed by Camunda-driven business processes.
Development Nirvana with Cassandra
Being able to rapidly iterate on, build and test your code is key to being a productive developer. Without local automation, working with the numerous platforms and technologies in your stack can become very frustrating.
In this on-demand webinar, Ben Bromhead CTO of Instaclustr explores best practices to easily integrate Apache Cassandra into your development workflow, so you spend more time writing good code and less time fighting your environment.
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C* Summit 2013 - Hindsight is 20/20. MySQL to Cassandra by Michael Kjellman
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Cassandra Community Webinar: MySQL to Cassandra - What I Wish I'd Known
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Yow Conference Dec 2013 Netflix Workshop Slides with Notes
Yow Conference Dec 2013 Netflix Workshop Slides with Notes
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CloudstackDay Brazil - The best kept secret in the cloud
CloudstackDay Brazil - The best kept secret in the cloud
More from Instaclustr
Apache Cassandra Community Health
Presentation at the Next Generation Cassandra Conference (NGCC) 2017 delivered by Ben Bromhead on the health of the Apache Cassandra open source community.
Instaclustr introduction to managing cassandra
This document provides an overview of important concepts and best practices for managing Apache Cassandra clusters. It discusses diagnosing problems, managing compactions, cluster mutations like adding and removing nodes, and topology design. The key points covered include monitoring metrics and logs, using nodetool for status checks and troubleshooting, preventing issues through regular health checks, techniques for handling high compaction loads, and strategies for availability and easier maintenance through logical rack awareness in the topology. It emphasizes the importance of ensuring cluster stability before making any changes to the topology or nodes.
Instaclustr webinar 50,000 transactions per second with Apache Spark on Apach...
See how our engineering team have implemented an open source Apache Spark on Apache Cassandra solution to capture metrics of the various nodes that we monitor for our customers.
Instaclustr Apache Cassandra Best Practices & Toubleshooting
Our CPO Ben Slater presents on best practices and common troubleshooting tips for deploying open source Apache Cassandra.
Processing 50,000 events per second with Cassandra and Spark
Chief Product Officer at Instaclustr, Ben Slater's presentation from the Cassandra Summit 2016, in San Jose.
Over the last 12 months, Instaclustr has developed a centralised system to capture and analysis monitoring metrics from its managed services fleet of well over 500 Cassandra and Spark nodes. While we entered into the exercise with plenty of experience provisioning and managing Cassandra and Spark, this was our first experience building a significant application. We’ll walk through some of the missteps we made and lessons learned along the way as well as sharing our current solution architecture.
Load Testing Cassandra Applications
Ben Slater presented on load testing Cassandra applications. He discussed the importance of load testing to prove an application's stability under peak loads and establish capacity planning. Some considerations for Cassandra load testing include modeling background operations, data conditions, and non-scaling operations. The presentation demonstrated how to use the cassandra-stress tool to simulate different scenarios through a YAML configuration file, generating data and queries. Tips included controlling load rate and using different population distributions.
Migrating to Cassandra
When and how to migrate from SQL to Cassandra presentation by Ben Slater from Instaclustr and Cassandra Summit 2015
Introduction to Apache Cassandra
- Adam Zegelin is the co-founder and Chief Architect of Instaclustr, which provides Cassandra-as-a-Service.
- Cassandra is a distributed database modeled after Dynamo that allows for linear scalability and high availability through replication across multiple servers.
- Data is partitioned and replicated across nodes, so adding more nodes increases capacity and redundancy, with no single point of failure.
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Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
20240605 QFM017 Machine Intelligence Reading List May 2024
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TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
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Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
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* Step-by-step implementation guide
* Live demos with code snippets
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#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
CAKE: Sharing Slices of Confidential Data on Blockchain
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
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Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Removing Uninteresting Bytes in Software Fuzzing
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- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
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2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
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6. Ideas and approaches to help build your organization's AI strategy.
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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Apache Cassandra Management
- 1. From the front lines Saving stranded clusters #CassandraSummit
- 2. Who am I and what do I do? • Ben Bromhead • Co-founder and CTO of Instaclustr -> www.instaclustr.com • Instaclustr provides Cassandra-as-a-Service in the cloud. • Currently in AWS, Google Cloud in private beta with more to come. • We currently manage 50+ nodes for various customers, who do various things with it.
- 3. In the beginning… • Well designed schemas • No data migrations • Everything was perfect and happy • Then we got customers
- 4. Our first C* patch • CASSANDRA-6521 • Cassandra wouldn’t check the length of a column name in a range predicate for slice operations. • So for large column names it would throw an assertion error. • Which would in turn tie up threads, causing the node to be unresponsive and eventually the whole cluster.
- 5. Our first C* patch • What was the size of the column name that would cause this issue? • Around 130kb • wat…
- 6. Our first migration • Receive frantic phone call • Self managed cluster has been down for 48 hours, for a company that gets 25 million monthly unique views. • They are hurting
- 7. Our first migration • The cluster was running a very early version of C* 2.0 • Update/patch the old cluster, get everything back online • Start the migration process…
- 8. Our first migration • Bulkload manages to kill their new cluster with us in about 5 minutes. • Open logs • Read 1 live and 38456 tombstoned cells (see tombstone_warn_threshold) • For every column family • wat…
- 9. Conclusion • Everything is awesome • Then reality occurs • It’s actually way more fun • Want to make C* even better? We are hiring!