This talk will be a step by step walkthrough of a developer troubleshooting a real performance issue we had at MyDrive, from the very first steps diagnosing the symptoms, through looking at metric charts down to CQL queries, the Ruby CQL driver, and Ruby code profiling.
DataStax: How to Roll Cassandra into Production Without Losing your Health, M...DataStax Academy
You know Cassandra works and can solve a lot of problems, but then you try to design it into your application and things start falling apart. Stop! This is where we need to have some real talk. I've been helping organizations implement Cassandra for years. True story. I can help! It's easy to get lost in the details, but making the switch to Cassandra is a journey of many steps. This will be a system of the next 30 years so take your time, do it right and feel the happiness. It's all there for you. Your health and sanity will be intact and most importantly, your job will be better!
Battery Ventures: Simulating and Visualizing Large Scale Cassandra DeploymentsDataStax Academy
The SimianViz microservices simulator contains a model of Cassandra that allows large scale global deployments to be created and exercised by simulating failure modes and connecting the simulation to real monitoring tools to visualize the effects. The simulator is open source Go code at github.com/adrianco/spigo and is developing rapidly.
eBay has developed comprehensive database capacity planning process with 20 years heavy usage of Oracle. With adoption of NoSQL technologies, we are working on to adopt same process with NoSQL, especially Cassandra. eBay has annual traffic peaks during Q4 holiday, we need to proactively review capacity needs and adjust to sail through peak time without any issue. With bench-marking test for each available SKU, we are able to meet business needs without over provisioning.
Capital One: Using Cassandra In Building A Reporting PlatformDataStax Academy
As a leader in the financial industry, Capital One applications generate huge amounts of data that require fast and accurate handling, storage and analysis. We are transforming how we report operational data to our internal users so that they can make quick and precise business decisions to serve our customers. As part of this transformation, we are building a new Go-based data processing framework that will enable us to transfer data from multiple data stores (RDBMS, files, etc.) to a single NoSQL database - Cassandra. This new NoSQL store will act as a reporting database that will receive data on a near real-time basis and serve the data through scorecards and reports. We would like to share our experience in defining this fast data platform and the methodologies used to model financial data in Cassandra.
Most Cassandra usages take advantage of its exceptional performance and ability to handle massive data sets. At PagerDuty, we use Cassandra for entirely different reasons: to reliably manage mutable application states and to maintain durability requirements even in the face of full data center outages. We achieve this by deploying Cassandra clusters with hosts in multiple WAN-separated data centers, configured with per-data center replica placement requirements, and with significant application-level support to use Cassandra as a consistent datastore. Accumulating several years of experience with this approach, we've learned to accommodate the impact of WAN network latency on Cassandra queries, how to horizontally scale while maintaining our placement invariants, why asymmetric load is experienced by nodes in different data centers, and more. This talk will go over our workload and design goals, detail the resultant Cassandra system design, and explain a number of our unintuitive operational learnings about this novel Cassandra usage paradigm.
At Target, we serve millions of transactions through our APIs each month. These are backed by Cassandra. During peak season, we see a 10x traffic increase, which presents some interesting scaling issues. This is our performance tuning journey for cassandra, both in our own datacenters and in the cloud.
This presentation recounts the story of Macys.com and Bloomingdales.com's migration from legacy RDBMS to NoSQL Cassandra in partnership with DataStax.
One thing that differentiates this talk from others on Cassandra is Macy's philosophy of "doing more with less." You will see why we emphasize the performance tuning aspects of iterative development when you see how much processing we can support on relatively small configurations.
This session will cover:
1) The process that led to our decision to use Cassandra
2) The approach we used for migrating from DB2 & Coherence to Cassandra without disrupting the production environment
3) The various schema options that we tried and how we settled on the current one. We'll show you a selection of some of our extensive performance tuning benchmarks, as well as how these performance results figured into our final schema designs.
4) Our lessons learned and next steps
The Last Pickle: Distributed Tracing from Application to DatabaseDataStax Academy
Monitoring provides information on system performance, however tracing is necessary to understand individual request performance. Detailed query tracing has been provided by Cassandra since version 1.2 and is invaluable when diagnosing problems. Although knowing what queries to trace and why the application makes them still requires deep technical knowledge. By merging Application tracing via Zipkin and Cassandra query tracing we automate the process and make it easier to identify and resolve problems. In this talk Mick Semb Wever, Team Member at The Last Pickle, will introduce Cassandra query tracing and Zipkin. He will then propose an extension that allows clients to pass a trace identifier through to Cassandra, and a way to integrate Zipkin tracing into Cassandra. Driving all this is the desire to create one tracing view across the entire system.
DataStax: How to Roll Cassandra into Production Without Losing your Health, M...DataStax Academy
You know Cassandra works and can solve a lot of problems, but then you try to design it into your application and things start falling apart. Stop! This is where we need to have some real talk. I've been helping organizations implement Cassandra for years. True story. I can help! It's easy to get lost in the details, but making the switch to Cassandra is a journey of many steps. This will be a system of the next 30 years so take your time, do it right and feel the happiness. It's all there for you. Your health and sanity will be intact and most importantly, your job will be better!
Battery Ventures: Simulating and Visualizing Large Scale Cassandra DeploymentsDataStax Academy
The SimianViz microservices simulator contains a model of Cassandra that allows large scale global deployments to be created and exercised by simulating failure modes and connecting the simulation to real monitoring tools to visualize the effects. The simulator is open source Go code at github.com/adrianco/spigo and is developing rapidly.
eBay has developed comprehensive database capacity planning process with 20 years heavy usage of Oracle. With adoption of NoSQL technologies, we are working on to adopt same process with NoSQL, especially Cassandra. eBay has annual traffic peaks during Q4 holiday, we need to proactively review capacity needs and adjust to sail through peak time without any issue. With bench-marking test for each available SKU, we are able to meet business needs without over provisioning.
Capital One: Using Cassandra In Building A Reporting PlatformDataStax Academy
As a leader in the financial industry, Capital One applications generate huge amounts of data that require fast and accurate handling, storage and analysis. We are transforming how we report operational data to our internal users so that they can make quick and precise business decisions to serve our customers. As part of this transformation, we are building a new Go-based data processing framework that will enable us to transfer data from multiple data stores (RDBMS, files, etc.) to a single NoSQL database - Cassandra. This new NoSQL store will act as a reporting database that will receive data on a near real-time basis and serve the data through scorecards and reports. We would like to share our experience in defining this fast data platform and the methodologies used to model financial data in Cassandra.
Most Cassandra usages take advantage of its exceptional performance and ability to handle massive data sets. At PagerDuty, we use Cassandra for entirely different reasons: to reliably manage mutable application states and to maintain durability requirements even in the face of full data center outages. We achieve this by deploying Cassandra clusters with hosts in multiple WAN-separated data centers, configured with per-data center replica placement requirements, and with significant application-level support to use Cassandra as a consistent datastore. Accumulating several years of experience with this approach, we've learned to accommodate the impact of WAN network latency on Cassandra queries, how to horizontally scale while maintaining our placement invariants, why asymmetric load is experienced by nodes in different data centers, and more. This talk will go over our workload and design goals, detail the resultant Cassandra system design, and explain a number of our unintuitive operational learnings about this novel Cassandra usage paradigm.
At Target, we serve millions of transactions through our APIs each month. These are backed by Cassandra. During peak season, we see a 10x traffic increase, which presents some interesting scaling issues. This is our performance tuning journey for cassandra, both in our own datacenters and in the cloud.
This presentation recounts the story of Macys.com and Bloomingdales.com's migration from legacy RDBMS to NoSQL Cassandra in partnership with DataStax.
One thing that differentiates this talk from others on Cassandra is Macy's philosophy of "doing more with less." You will see why we emphasize the performance tuning aspects of iterative development when you see how much processing we can support on relatively small configurations.
This session will cover:
1) The process that led to our decision to use Cassandra
2) The approach we used for migrating from DB2 & Coherence to Cassandra without disrupting the production environment
3) The various schema options that we tried and how we settled on the current one. We'll show you a selection of some of our extensive performance tuning benchmarks, as well as how these performance results figured into our final schema designs.
4) Our lessons learned and next steps
The Last Pickle: Distributed Tracing from Application to DatabaseDataStax Academy
Monitoring provides information on system performance, however tracing is necessary to understand individual request performance. Detailed query tracing has been provided by Cassandra since version 1.2 and is invaluable when diagnosing problems. Although knowing what queries to trace and why the application makes them still requires deep technical knowledge. By merging Application tracing via Zipkin and Cassandra query tracing we automate the process and make it easier to identify and resolve problems. In this talk Mick Semb Wever, Team Member at The Last Pickle, will introduce Cassandra query tracing and Zipkin. He will then propose an extension that allows clients to pass a trace identifier through to Cassandra, and a way to integrate Zipkin tracing into Cassandra. Driving all this is the desire to create one tracing view across the entire system.
Netflix stores 98 percent of data related with streaming services: right from bookmarks, viewing history to billing and payment information. These services / applications simply desire highly available and scalable persistence solution to keep themselves running efficiently in a normal and disastrous situation. How does Netflix plan for capacity for it's new as well as existing services?
In this talk, Arun Agrawal, Senior Software Engineer and Ajay Upadhyay, Cloud Data Architect @Netflix will talk about the capacity planning and capacity forecasting in cassandra world.
We will take you through the science behind forecasting the short and long term usage and auto-scaling adequate capacity well before C* clusters reach their limit. This guarantees highly scalable and available persistence solution meeting our SLAs @ Netflix.
About the Speakers
ajay upadhyay Senior Database Engineer, Netflix
Responsible for persistent layer at Netflix, part of CDE [Cloud Database Engineering] team. Working with application team, suggesting and guiding them with the best practices for various persistent layers provided by CDE team.
Arun Agrawal Senior Software Engineer, Netflix
Arun Agrawal is part of Cloud Database Engineering where they provide CAAS (Cassandra as a service). Ensuring smooth operations of service and finding innovative ways to reduce the management overheads of having CAAS.
Tsinghua University: Two Exemplary Applications in ChinaDataStax Academy
In this talk, we will share the experiences of applying Cassandra with two real customers in China. In the first use case, we deployed Cassandra at Sany Group, a leading company of Machinery manufacturing, to manage the sensor data generated by construction machinery. By designing a specific schema and optimizing the write process, we successfully managed over 1.5 billion historical data records and achieved the online write throughput of 10k write operations per second with 5 servers. MapReduce is also used on Cassandra for valued-added services, e.g. operations management, machine failure prediction, and abnormal behavior mining. In the second use case, Cassandra is deployed in the China Meteorological Administration to manage the Meteorological data. We design a hybrid schema to support both slice query and time window based query efficiently. Also, we explored the optimized compaction and deletion strategy for meteorological data in this case.
Azure + DataStax Enterprise Powers Office 365 Per User StoreDataStax Academy
We will present our O365 use case scenarios, why we chose Cassandra + Spark, and walk through the architecture we chose for running DataStax Enterprise on azure.
Cassandra Summit 2014: Apache Cassandra Best Practices at EbayDataStax Academy
Presenter: Feng Qu, Principal DBA at eBay
Cassandra has been adopted widely at eBay in recent years and used by many end-user facing applications. I will introduce best practices we have built over the time around system design, capacity planning, deployment automation, monitoring integration, performance analysis and troubleshooting. I will also share our experience working with DataStax support to provide a highly available, highly scalable data store fitting into eBay infrastructure.
Expedia Group: Our Migration Journey from Apache Cassandra to ScyllaDB ScyllaDB
Expedia Group is a multibillion dollar online travel company. Learn why they decided to move from Apache Cassandra to Scylla to further their corporate growth, what they learned in the migration process, and how Scylla improved their operations.
Proofpoint: Fraud Detection and Security on Social MediaDataStax Academy
Social media has become the new frontier for cyber-attackers. The explosive growth of this new communications platform, combined with the potential to reach millions of people through a single post, has provided a low barrier for exploitation. In this talk, we will focus on how Cassandra is used to enable our fight against bad actors on social media. In particular, we will discuss how we use Cassandra for anomaly detection, social mob alerting, trending topics, and fraudulent classification. We will also speak about our Cassandra data models, integration with Spark Streaming, and how we use KairosDB for our time series data. Watch us don our superhero-Cassandra capes as we fight against the bad guys!
Building A Diverse Geo-Architecture For Cloud Native Applications In One DayVMware Tanzu
Presenter: Ben Laplanche, Product Manager, Pivotal Cloud Foundry
Companies turn to PaaS and Cloud Native Applications to gain agility and speed. To provide customer value, a fault tolerant infrastructure is essential. But what happens if an entire data center, region, or even country should go offline? Cassandra holds the key to keeping application state in sync through replication, whilst Pivotal Cloud Foundry provides easy deployment to multiple IaaS providers. It also comes complete with a managed service offering for DataStax Enterprise. This talk will discuss how this setup can be deployed in one day, including demonstrations and a walkthrough of the key concepts, approaches, and considerations.
In this talk Josep draws on his experience of building a data platform based on Cassandra and Spark to service the UK's foremost player in the connected homes market. Bringing streams of data online; productionising data science algorithms on spark; and delivering outputs via API's or Kafka messages.
Josep will explore the ups and the downs of bringing all this together and share what he's learned from 12 months of Cassandra and Spark development and operations.
Webinar | Building Apps with the Cassandra Python DriverDataStax Academy
With the new Python driver for Cassandra it is easy to build integrations and apps that use Cassandra seamlessly as a back in. This session will explore what it takes to build the app and the features available with the new Python drivers.
How ReversingLabs Serves File Reputation Service for 10B FilesScyllaDB
ReversingLabs is on a mission to deliver threat intelligence to their users by providing complete visibility and insight into every destructive object. To deliver on their commitment, they migrated to Scylla to handle thousands of updates per second in their processing engines. In their talk, they will go over their requirements and show how they tuned the system to handle requests from their API frontend.
Contentserv, a leader in Product Information Management (PIM) systems, needed to continue to scale and accelerate. They wanted to achieve a migration from Cassandra to Scylla with zero code or data changes. Discover the methods they used to achieve a seamless migration.
Cassandra Community Webinar: Apache Spark Analytics at The Weather Channel - ...DataStax Academy
The state of analytics has changed dramatically over the last few years. Hadoop is now commonplace, and the ecosystem has evolved to include new tools such as Spark, Shark, and Drill, that live alongside the old MapReduce-based standards. It can be difficult to keep up with the pace of change, and newcomers are left with a dizzying variety of seemingly similar choices. This is compounded by the number of possible deployment permutations, which can cause all but the most determined to simply stick with the tried and true. But there are serious advantages to many of the new tools, and this presentation will give an analysis of the current state–including pros and cons as well as what’s needed to bootstrap and operate the various options.
About Robbie Strickland, Software Development Manager at The Weather Channel
Robbie works for The Weather Channel’s digital division as part of the team that builds backend services for weather.com and the TWC mobile apps. He has been involved in the Cassandra project since 2010 and has contributed in a variety of ways over the years; this includes work on drivers for Scala and C#, the Hadoop integration, heading up the Atlanta Cassandra Users Group, and answering lots of Stack Overflow questions.
Captial One: Why Stream Data as Part of Data Transformation?ScyllaDB
Event-driven architectures are increasingly part of a complete data transformation solution. Learn how to employ Apache Kafka, Cloud Native Computing Foundation’s NATS, Amazon SQS, or other message queueing technologies. This talks covers the details of each, their advantages and disadvantages and how to select the best for your company’s needs.
Cassandra Community Webinar: MySQL to Cassandra - What I Wish I'd KnownDataStax
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.
Dyn delivers exceptional Internet Performance. Enabling high quality services requires data centers around the globe. In order to manage services, customers need timely insight collected from all over the world. Dyn uses DataStax Enterprise (DSE) to deploy complex clusters across multiple datacenters to enable sub 50 ms query responses for hundreds of billions of data points. From granular DNS traffic data, to aggregated counts for a variety of report dimensions, DSE at Dyn has been up since 2013 and has shined through upgrades, data center migrations, DDoS attacks and hardware failures. In this webinar, Principal Engineers Tim Chadwick and Rick Bross cover the requirements which led them to choose DSE as their go-to Big Data solution, the path which led to SPARK, and the lessons that we’ve learned in the process.
Gumgum is a global media company specializing in contextual intelligence. Find out how and why they moved to Scylla Cloud to meet their growing customer demands and deliver on their promise of future proofed solutions.
DataStax: Testing Cassandra Guarantees Under Diverse Failure Modes With JepsenDataStax Academy
The increasing prevalence of large-scale distributed systems necessitates careful testing and understanding of the invariants and guarantees at play. In particular, Kyle Kingsbury's "Call Me Maybe" series has increased awareness of this need for developers and administrators alike. In this talk, Joel will discuss these issues in the context of his efforts as an intern at DataStax to develop extensive testing coverage via Kingsbury's Jepsen library.
AdStage: Monacella: An Relational Object Database using Cassandra as the Data...DataStax Academy
At AdStage we have a large volume of data about ads and their relationships: campaigns, ad groups, keywords, bids, budgets, targeting info - the list goes on. We started out storing all this data in Postgres, but even before we reached public beta we were already putting too much strain on the largest Postgres instance we could run. We considered sharding, but instead we decided to embark on a project to store our data in Cassandra. Now, after more than a year of development, we present Monacella, a relational object database that uses Cassandra as the datastore. In this talk we'll examine the architecture of Monacella, its features and use cases, and plans for future development.
Netflix stores 98 percent of data related with streaming services: right from bookmarks, viewing history to billing and payment information. These services / applications simply desire highly available and scalable persistence solution to keep themselves running efficiently in a normal and disastrous situation. How does Netflix plan for capacity for it's new as well as existing services?
In this talk, Arun Agrawal, Senior Software Engineer and Ajay Upadhyay, Cloud Data Architect @Netflix will talk about the capacity planning and capacity forecasting in cassandra world.
We will take you through the science behind forecasting the short and long term usage and auto-scaling adequate capacity well before C* clusters reach their limit. This guarantees highly scalable and available persistence solution meeting our SLAs @ Netflix.
About the Speakers
ajay upadhyay Senior Database Engineer, Netflix
Responsible for persistent layer at Netflix, part of CDE [Cloud Database Engineering] team. Working with application team, suggesting and guiding them with the best practices for various persistent layers provided by CDE team.
Arun Agrawal Senior Software Engineer, Netflix
Arun Agrawal is part of Cloud Database Engineering where they provide CAAS (Cassandra as a service). Ensuring smooth operations of service and finding innovative ways to reduce the management overheads of having CAAS.
Tsinghua University: Two Exemplary Applications in ChinaDataStax Academy
In this talk, we will share the experiences of applying Cassandra with two real customers in China. In the first use case, we deployed Cassandra at Sany Group, a leading company of Machinery manufacturing, to manage the sensor data generated by construction machinery. By designing a specific schema and optimizing the write process, we successfully managed over 1.5 billion historical data records and achieved the online write throughput of 10k write operations per second with 5 servers. MapReduce is also used on Cassandra for valued-added services, e.g. operations management, machine failure prediction, and abnormal behavior mining. In the second use case, Cassandra is deployed in the China Meteorological Administration to manage the Meteorological data. We design a hybrid schema to support both slice query and time window based query efficiently. Also, we explored the optimized compaction and deletion strategy for meteorological data in this case.
Azure + DataStax Enterprise Powers Office 365 Per User StoreDataStax Academy
We will present our O365 use case scenarios, why we chose Cassandra + Spark, and walk through the architecture we chose for running DataStax Enterprise on azure.
Cassandra Summit 2014: Apache Cassandra Best Practices at EbayDataStax Academy
Presenter: Feng Qu, Principal DBA at eBay
Cassandra has been adopted widely at eBay in recent years and used by many end-user facing applications. I will introduce best practices we have built over the time around system design, capacity planning, deployment automation, monitoring integration, performance analysis and troubleshooting. I will also share our experience working with DataStax support to provide a highly available, highly scalable data store fitting into eBay infrastructure.
Expedia Group: Our Migration Journey from Apache Cassandra to ScyllaDB ScyllaDB
Expedia Group is a multibillion dollar online travel company. Learn why they decided to move from Apache Cassandra to Scylla to further their corporate growth, what they learned in the migration process, and how Scylla improved their operations.
Proofpoint: Fraud Detection and Security on Social MediaDataStax Academy
Social media has become the new frontier for cyber-attackers. The explosive growth of this new communications platform, combined with the potential to reach millions of people through a single post, has provided a low barrier for exploitation. In this talk, we will focus on how Cassandra is used to enable our fight against bad actors on social media. In particular, we will discuss how we use Cassandra for anomaly detection, social mob alerting, trending topics, and fraudulent classification. We will also speak about our Cassandra data models, integration with Spark Streaming, and how we use KairosDB for our time series data. Watch us don our superhero-Cassandra capes as we fight against the bad guys!
Building A Diverse Geo-Architecture For Cloud Native Applications In One DayVMware Tanzu
Presenter: Ben Laplanche, Product Manager, Pivotal Cloud Foundry
Companies turn to PaaS and Cloud Native Applications to gain agility and speed. To provide customer value, a fault tolerant infrastructure is essential. But what happens if an entire data center, region, or even country should go offline? Cassandra holds the key to keeping application state in sync through replication, whilst Pivotal Cloud Foundry provides easy deployment to multiple IaaS providers. It also comes complete with a managed service offering for DataStax Enterprise. This talk will discuss how this setup can be deployed in one day, including demonstrations and a walkthrough of the key concepts, approaches, and considerations.
In this talk Josep draws on his experience of building a data platform based on Cassandra and Spark to service the UK's foremost player in the connected homes market. Bringing streams of data online; productionising data science algorithms on spark; and delivering outputs via API's or Kafka messages.
Josep will explore the ups and the downs of bringing all this together and share what he's learned from 12 months of Cassandra and Spark development and operations.
Webinar | Building Apps with the Cassandra Python DriverDataStax Academy
With the new Python driver for Cassandra it is easy to build integrations and apps that use Cassandra seamlessly as a back in. This session will explore what it takes to build the app and the features available with the new Python drivers.
How ReversingLabs Serves File Reputation Service for 10B FilesScyllaDB
ReversingLabs is on a mission to deliver threat intelligence to their users by providing complete visibility and insight into every destructive object. To deliver on their commitment, they migrated to Scylla to handle thousands of updates per second in their processing engines. In their talk, they will go over their requirements and show how they tuned the system to handle requests from their API frontend.
Contentserv, a leader in Product Information Management (PIM) systems, needed to continue to scale and accelerate. They wanted to achieve a migration from Cassandra to Scylla with zero code or data changes. Discover the methods they used to achieve a seamless migration.
Cassandra Community Webinar: Apache Spark Analytics at The Weather Channel - ...DataStax Academy
The state of analytics has changed dramatically over the last few years. Hadoop is now commonplace, and the ecosystem has evolved to include new tools such as Spark, Shark, and Drill, that live alongside the old MapReduce-based standards. It can be difficult to keep up with the pace of change, and newcomers are left with a dizzying variety of seemingly similar choices. This is compounded by the number of possible deployment permutations, which can cause all but the most determined to simply stick with the tried and true. But there are serious advantages to many of the new tools, and this presentation will give an analysis of the current state–including pros and cons as well as what’s needed to bootstrap and operate the various options.
About Robbie Strickland, Software Development Manager at The Weather Channel
Robbie works for The Weather Channel’s digital division as part of the team that builds backend services for weather.com and the TWC mobile apps. He has been involved in the Cassandra project since 2010 and has contributed in a variety of ways over the years; this includes work on drivers for Scala and C#, the Hadoop integration, heading up the Atlanta Cassandra Users Group, and answering lots of Stack Overflow questions.
Captial One: Why Stream Data as Part of Data Transformation?ScyllaDB
Event-driven architectures are increasingly part of a complete data transformation solution. Learn how to employ Apache Kafka, Cloud Native Computing Foundation’s NATS, Amazon SQS, or other message queueing technologies. This talks covers the details of each, their advantages and disadvantages and how to select the best for your company’s needs.
Cassandra Community Webinar: MySQL to Cassandra - What I Wish I'd KnownDataStax
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.
Dyn delivers exceptional Internet Performance. Enabling high quality services requires data centers around the globe. In order to manage services, customers need timely insight collected from all over the world. Dyn uses DataStax Enterprise (DSE) to deploy complex clusters across multiple datacenters to enable sub 50 ms query responses for hundreds of billions of data points. From granular DNS traffic data, to aggregated counts for a variety of report dimensions, DSE at Dyn has been up since 2013 and has shined through upgrades, data center migrations, DDoS attacks and hardware failures. In this webinar, Principal Engineers Tim Chadwick and Rick Bross cover the requirements which led them to choose DSE as their go-to Big Data solution, the path which led to SPARK, and the lessons that we’ve learned in the process.
Gumgum is a global media company specializing in contextual intelligence. Find out how and why they moved to Scylla Cloud to meet their growing customer demands and deliver on their promise of future proofed solutions.
DataStax: Testing Cassandra Guarantees Under Diverse Failure Modes With JepsenDataStax Academy
The increasing prevalence of large-scale distributed systems necessitates careful testing and understanding of the invariants and guarantees at play. In particular, Kyle Kingsbury's "Call Me Maybe" series has increased awareness of this need for developers and administrators alike. In this talk, Joel will discuss these issues in the context of his efforts as an intern at DataStax to develop extensive testing coverage via Kingsbury's Jepsen library.
AdStage: Monacella: An Relational Object Database using Cassandra as the Data...DataStax Academy
At AdStage we have a large volume of data about ads and their relationships: campaigns, ad groups, keywords, bids, budgets, targeting info - the list goes on. We started out storing all this data in Postgres, but even before we reached public beta we were already putting too much strain on the largest Postgres instance we could run. We considered sharding, but instead we decided to embark on a project to store our data in Cassandra. Now, after more than a year of development, we present Monacella, a relational object database that uses Cassandra as the datastore. In this talk we'll examine the architecture of Monacella, its features and use cases, and plans for future development.
DataStax: The Cassandra Validation Harness: Achieving More Stable ReleasesDataStax Academy
As of 3.0, Apache Cassandra will be moving to a tick-tock release cycle to improve the stability problems that have plagued new major releases. Alongside that, we need to expand beyond our existing test infrastructure, and begin simulating production environments. We'll explore the Cassandra Validation Harness, a new testing infrastructure for improving our detection rate of resource leaks, concurrency problems, and other bugs that only show up at scale.
The Last Pickle: Repeatable, Scalable, Reliable, Observable: CassandraDataStax Academy
Apache Cassandra makes it possible to write code on a laptop and deploy to multi-region clusters with a few configuration changes. But what does it take to create repeatable, scalable, reliable, and observable clusters?
In this talk Aaron Morton, Co Founder at The Last Pickle and Apache Cassandra Committer, will discuss the tools and techniques they use. From environment planning to implementation for tools such as Chef, Sensu, Graphite, Riemann and LogStash this will be a discussion of the full stack ecosystem for successful projects.
Silicon Valley Data Science: From Oracle to Cassandra with SparkDataStax Academy
Want your enterprise to scale out 20x faster performance while containing cost? Customer Data Integration is a core Master-Data-Management (MDM) function for most enterprises: being intentional about where to perform your most resource-consuming data management processes, and choosing the right open-source columnar data store, can help you scale in big way. In this talk we will look at the migration of Allant's CDI-keying engine, built using JMS and Oracle, to an architecture centered around distributed data-management technologies with Cassandra as the data store.
Attendees will learn how a legacy Oracle-centric pipeline can be migrated to a Cassandra-based solution by:
1) using Spark to push the bulk of the keying & recognition functions originally executed at the application layer down to the distributed data layer and
2) using Cassandra and Zookeeper to migrate in-process locking mechanisms and to generate unique profile recognition keys to a highly scalable system; and
3) using Spark to create an high-throughput ETL pipeline for loading large datasets into Cassandra.
Allant's original customer recognition engine (employed to integrate customer profiles and their digital handles) was architected and designed to accommodate both batch and real time inputs, with a common API to ensure unique creation of customer profiles. The common API is facilitated via a batch-to-single interface (proprietary, custom software) that drops input records into JMS queues to perform the parsing, hygiene, matching, and keying sub-functions. This pipeline was re-implemented by using Cassandra as a scalable, high-throughput data store, and Spark to achieve highly distributed function execution while maintaining the proven fuzzy matching logic to preserve Allant’s proprietary customer recognition rules.
AddThis: Scaling Cassandra up and down into containers with ZFSDataStax Academy
ZFS is an advanced file, raid, and volume management system originally developed by Sun Microsystems, 'The Last Word in File Systems' has been unavailable on Linux until recently. AddThis uses ZFS to more effectively scale up dedicated hardware, getting twice the performance at half the cost. ZFS is also fundamental to containerization, allowing nodes from multiple clusters to be co-located with safe persistent storage.
Stratio: Geospatial and bitemporal search in Cassandra with pluggable Lucene ...DataStax Academy
Stratio presented its open source Lucene-based implementation of Cassandra's secondary indexes at Cassandra Summit London 2014, which provided several search engine features. It used to be distributed as a fork of Apache Cassandra, which was a huge problem both for users and maintainers. Nowadays, due to some changes introduced at Cassandra 2.1.6, we are proud to announce that it has become a plugin that can be attached to the official Apache Cassandra.
With the plugin we have been able to provide Cassandra with geospatial capabilities, making it possible to index geographical positions and perform bounding box and radial distance queries. This is achieved through Lucene's geospatial module.
Another feature we have provided with our plugin is the possibility of indexing bitemporal data models, which distinguish between system time and business time. This way, it is possible to make queries over Cassandra such as ̢give me what system thought in a certain instant about what happened in another instant. The implementation has been performed combining range prefix trees with the 4R-Tree approach exposed by Bliujute, et al.
Both full-text, geospatial and bitemporal queries can be combined with Apache Spark to avoid systematic full-scan, dramatically reducing the amount of data to be processed.
Although CQL and SQL have a similar syntax, there are many differences that may confuse users. I will explain what the CQL WHERE clause supports and how Cassandra processes it internally.
GumGum relies heavily on Cassandra for storing different kinds of metadata. Currently GumGum reaches 1 billion unique visitors per month using 3 Cassandra datacenters in Amazon Web Services spread across the globe.
This presentation will detail how we scaled out from one local Cassandra datacenter to a multi-datacenter Cassandra cluster and all the problems we encountered and choices we made while implementing it.
How did we architect multi-region Cassandra in AWS? What were our experiences in implementing multi-datacenter Cassandra? How did we achieve low latency with multi-region Cassandra and the Datastax Driver? What are the different Cassandra use cases at GumGum? How did we integrate our Cassandra with Spark?
Assume you have a Cassandra cluster with hundreds of tables, and one day the latency of client requests and CPU utilization of the Cassandra process became unacceptable. Our team regularly faced such a problem. A simple look at the metrics did not help us - because of high CPU utilization, we saw bad metrics across almost all of our tables. In this talk I will discuss ways to find out which table (or tables) are the most problematic for the cluster and create problems for other tables. The talk will be fully practical as I will introduce our real steps in this investigation. Some of the steps were successful, others were not. But finally we reduced both latency and CPU utilization in about 10 times without adding additional nodes and hardware resources.
codecentric AG: CQRS and Event Sourcing Applications with CassandraDataStax Academy
CQRS (Command Query Responsibility Segregation) is a pattern, which separates the process of querying and updating data. As a query only returns data without any side effects, a command is designed to change data. CQRS is often combined with Event Sourcing. This is an architecture in which all changes to an application state are stored as a sequence of events.
Because of its great capability to store time series data Cassandra is the perfect fit for implementing the event store. But there a still a lot of open questions: What about the data modeling? What techniques will be used to process and store data in the Cassandra database? How to access the current state of the application, without replaying every event? And what about failure handling?
In this talk, I will give a brief introduction to CQRS and the Event Sourcing pattern and will then answer the questions above using a real life example of a data store for customer data.
Cisco: Cassandra adoption on Cisco UCS & OpenStackDataStax Academy
n this talk we will address how we developed our Cassandra environments utilizing Cisco UCS Open Stack Platform with the DataStax Enterprise Edition software. In addition we are utilizing OpenSource CEPH storage in our Infrastructure to optimize the Performance and reduce the costs.
Tesora: Managing Cassandra Databases with OpenStack TroveDataStax Academy
This presentation is aimed at IT managers, DevOps or Developers in an IT organization, as it presents an in depth exploration of the architecture and internals of Cassandra databases with OpenStack Trove.
The presentation will start with an overview of the Trove architecture, exploring such concepts as "How does Trove interact with other OpenStack services", "What are the various components of Trove", "What are guest agents", "How are requests to Trove processed", and "How does Trove support multiple database types".
It will next explain how Trove supports the Apache Cassandra NoSQL database and how to deploy and manage a Cassandra database with Trove. It will then describe Trove's framework for implementing clustering and how Cassandra clusters are deployed through Trove.
It helps the participant understand the internals and architecture of Trove and provides the participant with knowledge that would be useful in assessing, deploying and managing a Cassandra database with Trove.
Restlet: Building a multi-tenant API PaaS with DataStax Enterprise SearchDataStax Academy
Starting from the persistence needs of an API PaaS, we'll explain how we selected Cassandra and, finally, DSE Search, the main challenges we faced both in term of development and operations, and the solutions we have implemented.
In this session we will present an overview from the point of view 'system that implementative on how to get the best performance from your drupal application.
We will also show examples of use cases for drupal scalable infrastructure.
IDERA Live | Leverage the Query Store for Better SQL Server PerformanceIDERA Software
You can watch the replay for this IDERA Live webcast, Leverage the Query Store for Better SQL Server Performance, on the IDERA Resource Center, http://ow.ly/bHys50A4rH8.
SQL Server’s Query Store, since its introduction with SQL Server 2016, is becoming better utilized by database administrators to review the history and performance of SQL queries. The Query Store collects useful information for SQL queries such as run time statistics and execution plans for analysis and reporting. Join this session with Bullett Manale to learn more about how the Query Store works, how to configure it, and how IDERA’s SQL Diagnostic Manager can leverage the Query Store to improve the performance of SQL queries.
Speaker: Bullett Manale is IDERA’s Director of Sales Engineering, has been working in technology for over 25 years. Starting as a tech support technician for Iomega supporting their backup software, he has since been a technical trainer and consultant for Deloitte, a sales engineer at Centerbeam, and a project manager at Shell Oil Company.
Query Optimization with MySQL 8.0 and MariaDB 10.3: The BasicsJaime Crespo
Query optimization tutorial for Beginners using MySQL 8.0 and MariaDB 10.3 presented at the Open Source Database Percona Live Europe 2018 organized in Frankfurt. The source can be found and errors can be reported at https://github.com/jynus/query-optimization
Material URL moved to: http://jynus.com/dbahire/pleu18
Geographically Distributed Multi-Master MySQL ClustersContinuent
In this webinar, we discuss the multi-master capabilities of Continuent Tungsten to help you build and manage systems that spread data across multiple sites. We cover important topics such as setting up large scale topologies, handling failures, and how to handle data privacy issues like removing personally identifiable information or handling privacy law restrictions on data movement. We will conclude with a live demonstration of a distributed MySQL solution with Continuent Tungsten clusters working across multiple Amazon Web Services (AWS) availability zones and regions.
Deploy and Destroy: Testing Environments - Michael Arenzon - DevOpsDays Tel A...DevOpsDays Tel Aviv
One of the critical factors for development velocity is software correctness. Our ability to develop and ship new features fast is bounded by our ability to validate several aspects of the change: * Does the feature meet the requirements? * How does the feature affect existing code, and how can it affect the production environment? With continues codebase growth and new features being added, naturally our productivity decreases, and our need to improve the guarantees for quality and correctness increase.
In this talk, I’ll focus on testing environments: why developers need a self-serve platform to create a full functioning environment on-demand, how such environments should be managed, and how can one restore part of the lost velocity. I’ll cover an internal system we use at AppsFlyer called ‘Namespaces’ that addresses the issue with the help of Mesos / Marathon, Docker, Traefik, and Consul.
RightScale Webinar: January 13, 2011 – Watch this webinar for a look behind the scenes as we discuss ServerTemplates and how are they different from alternate approaches.
implementation of a big data architecture for real-time analytics with data s...Joseph Arriola
My topic presented in DataStax Accelerate 2019 was "Implementation of a Big Data architecture for real-time analytics with DataStax Enterprise Graph, Analytics and Search". To show some of the most widely used open source technologies in the market. and how to integrate them with an Enterprise tool, looking for do real-time analytics.
Overview and Walkthrough of the Application Programming Model with SAP Cloud ...SAP Cloud Platform
Learn how to seamlessly combine open-source and cloud-native software with SAP technologies into a consistent, end-to-end programming model and development experience that guides application developers with best practices and relieves them from tedious boilerplate tasks, enabling them to focus on solving their domain problems. Get an overview of the key technologies and tools as well as an end-to-end walkthrough of developing business services and applications.
2019 StartIT - Boosting your performance with BlackfireMarko Mitranić
A workshop held in StartIT as part of Catena Media learning sessions.
We aim to dispel the notion that large PHP applications tend to be sluggish, resource-intensive and slow compared to what the likes of Python, Erlang or even Node can do. The issue is not with optimising PHP internals - it's the lack of proper introspection tools and getting them into our every day workflow that counts! In this workshop we will talk about our struggles with whipping PHP Applications into shape, as well as work together on some of the more interesting examples of CPU or IO drain.
AWS DeepRacer desde cero - Meetup de awsvalencia (2021/08/12)Javier Campos Berga
Meetup online de #AWSValencia sobre AWS #DeepRacer.
¿Quieres aprender desde cero a entrenar un coche autónomo (de juguete) #AWS #DeepRacer y competir con él? ️
Explicamos cómo entrenar un coche DeepRacer virtual usando la Consola de AWS o utilizando tu ordenador local.
AWS DeepRacer League es una competición de coches autónomos organizada por AWS. Puedes entrenar y competir con una versión virtual del coche (el del vídeo), o competir con una versión física del coche a escala.
Tus principales tareas serán 2:
- Definir las características del coche (velocidad máxima, etc) y
- Escribir la función de recompensa.
La función de recompensa es parte del #ReinforcementLearning (Aprendizaje por Refuerzo, una rama del #AprendizajeAutomatico), se utiliza para "enseñar" al coche qué acciones debe tomar en cada instante: acelerar, frenar, girar más o menos...
La configuración del coche y el entrenamiento del modelo se puede hacer desde la consola de AWS (recomendado) o en tu máquina local (es #opensource).
En este meetup vemos todo lo que necesitas para empezar desde cero y completar tu primera vuelta al circuito.
Forrester CXNYC 2017 - Delivering great real-time cx is a true craftDataStax Academy
Companies today are innovating with real-time data to deliver truly amazing customer experiences in the moment. Real-time data management for real-time customer experience is core to staying ahead of competition and driving revenue growth. Join Trays to learn how Comcast is differentiating itself from it's own historical reputation with Customer Experience strategies.
Introduction to DataStax Enterprise Graph DatabaseDataStax Academy
DataStax Enterprise (DSE) Graph is a built to manage, analyze, and search highly connected data. DSE Graph, built on NoSQL Apache Cassandra delivers continuous uptime along with predictable performance and scales for modern systems dealing with complex and constantly changing data.
Download DataStax Enterprise: Academy.DataStax.com/Download
Start free training for DataStax Enterprise Graph: Academy.DataStax.com/courses/ds332-datastax-enterprise-graph
Introduction to DataStax Enterprise Advanced Replication with Apache CassandraDataStax Academy
DataStax Enterprise Advanced Replication supports one-way distributed data replication from remote database clusters that might experience periods of network or internet downtime. Benefiting use cases that require a 'hub and spoke' architecture.
Learn more at http://www.datastax.com/2016/07/stay-100-connected-with-dse-advanced-replication
Advanced Replication docs – https://docs.datastax.com/en/latest-dse/datastax_enterprise/advRep/advRepTOC.html
Data Modeling is the one of the first things to sink your teeth into when trying out a new database. That's why we are going to cover this foundational topic in enough detail for you to get dangerous. Data Modeling for relational databases is more than a touch different than the way it's approached with Cassandra. We will address the quintessential query-driven methodology through a couple of different use cases, including working with time series data for IoT. We will also demo a new tool to get you bootstrapped quickly with MovieLens sample data. This talk should give you the basics you need to get serious with Apache Cassandra.
Hear about how Coursera uses Cassandra as the core of its scalable online education platform. I'll discuss the strengths of Cassandra that we leverage, as well as some limitations that you might run into as well in practice.
In the second part of this talk, we'll dive into how best to effectively use the Datastax Java drivers. We'll dig into how the driver is architected, and use this understanding to develop best practices to follow. I'll also share a couple of interesting bug we've run into at Coursera.
Cassandra @ Sony: The good, the bad, and the ugly part 1DataStax Academy
This talk covers scaling Cassandra to a fast growing user base. Alex and Isaias will cover new best practices and how to work with the strengths and weaknesses of Cassandra at large scale. They will discuss how to adapt to bottlenecks while providing a rich feature set to the playstation community.
Cassandra @ Sony: The good, the bad, and the ugly part 2DataStax Academy
This talk covers scaling Cassandra to a fast growing user base. Alex and Isaias will cover new best practices and how to work with the strengths and weaknesses of Cassandra at large scale. They will discuss how to adapt to bottlenecks while providing a rich feature set to the playstation community.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.