Name: Log Analytics for ITOps, DevOps, & CloudOps
Start: 2022-01-27T16:00:00Z
End: 2022-01-27T16:00:58.000Z
Location: BrightTALK
Rating: 4

ChaosSearch helps modern organizations Know Better™ by activating the data lake for analytics. The ChaosSearch Data Lake Platform indexes customers’ cloud data, rendering it fully searchable and enabling analytics at scale with massive reductions of time, cost and complexity. 

ChaosSearch was purpose-built for cost-effective, highly scalable analytics encompassing full text search, SQL and machine learning capabilities in one unified offering. The patented ChaosSearch technology instantly transforms your cloud object storage (Amazon S3, Google Cloud Storage) into a hot, analytical data lake.

The analytics lifecycle is under constant pressure to deliver better insights at a faster rate. The daily demands of today’s digital-native enterprise include:

• Faster deployments, 
• Better access, 
• Less pipelining, 
• And migration.

But there is a better way. During this session, ChaosSearch CTO and Founder, Thomas Hazel, will share how your organization can handle those demands in a way that will deliver assured results with low risk. 

You will also learn how you can create an enterprise wide data lake with your existing cloud object storage and rapidly realize the benefits of unconstrained analytics at scale.

Three Ways to Make Your Data Lake Deliver

From hybrid and multicloud, to modern data platforms and real-time analytics, a strong data architecture strategy is critical to supporting your organization's goals. Greater speed, flexibility and scalability are common wish-list items, alongside smarter data governance and security capabilities. Many new technologies and approaches have come to the forefront of data architecture discussions.

Watch this webinar to learn how ChaosSearch can help your organization solve challenges with:
• Analyzing their data at scale,
• Complex architectures that create more work, more cost, and less business value,
• Ownership and the management of costly attached storage,
• And more.

Listen in on this special roundtable webinar to dive into the top trends in modern data architecture for 2022.

Top Trends in Modern Data Architecture for 2022

It is a fascinating, explosive time for enterprise analytics. It is from the position of analytics leadership that the mission will be executed and company leadership will emerge. The data professional is absolutely sitting on the performance of the company in this information economy and has an obligation to demonstrate the possibilities and originate the architecture, data, and projects that will deliver analytics.

After all, no matter what business you’re in, you’re in the business of analytics. The coming years will be full of big changes in enterprise analytics and Data Architecture. William will kick off the fourth year of the Advanced Analytics series with a discussion of:

• the trends winning organizations should build into their plans, 
• expectations, 
• vision, 
• and awareness now.

New Age of Enterprise Analytics - Advanced Analytics

Without any organization, governance, or integration with known ETL or analytics tools, many data lakes quickly became “data swamps.” Data sits stagnant because users don’t know how to effectively access or glean insights from it. But that fate is NOT inevitable. Modern, productive data lakes are built on cloud object storage, like Amazon S3, and can be activated to support multi-dimensional analytics use cases such as full text search, relational queries, and machine learning.

On the webinar, we’ll share insights into the data lakes of yesterday, today and tomorrow -- including how they compare to new approaches such as data mesh. Learn about AWS' vision for cloud object storage; hear about Digital River’s cloud-first strategy and how it's driven their log analytics-centered data lake; and see how ChaosSearch can easily activate Amazon S3 as a hot analytical data lake for you.

Hear from:  Dave Vellante, Co-Founder & Co-CEO at SiliconANGLE Media Corp, Thomas Hazel, Founder and Chief Technology Officer at ChaosSearch, Ed Walsh, CEO at ChaosSearch, Kevin Miller, VP and General Manager of S3 at Amazon Web Services, and Mark Hill, Sr. Director of IT Operations at Digital River

Make Your AWS Data Lake Deliver!

Working in DevOps, you’re a problem solver by trade. You love being part of a mission-critical business function and you pride yourself on delivering fail-proof infrastructure that performs reliably and at scale. But you don’t love the 2am wake-up calls when there’s an issue with your Elasticsearch cluster. You don’t love missing family birthday parties and social events because you can’t turn work off at the end of the day like others can.

This session serves as a meeting of the minds between current and former DevOps pros. They’ll share battle stories along with best practices, lessons learned, and technology “hacks” they’ve learned along the way to improve the stability of their environments (and get more sleep). 

Attendees will gain tips and tricks for managing a more seamless environment, and you’ll probably get a few laughs in too during this high-spirited session!

Hear from: Thomas Hazel, CTO and Founder at ChaosSearch, Brian Bost, Sales Engineer at ChaosSearch, Kieran Dunbar, Senior Customer Success Engineer at ChaosSearch, and Jimmy McDermott, CTO and Founder at Transeo

Firefighting ELK at 2am and Other Stories from the Trenches

Cloud infrastructure and services logs from providers such as CloudTrail and Cloudflare can tell you everything about the health of your cloud infrastructure and applications – if you can collect and analyze them efficiently. For too many DevOps teams, the volume and variety of cloud logs forces them to make difficult trade-offs: Collect fewer logs or shorten retention times. Either way, valuable insights that help prioritize feature delivery and optimize the customer experience could be missed.

Join ChaosSearch for a practical session focused on learning how to:

* Get the most out of your CloudTrail and CloudFlare logs
* Reduce or eliminate data prep work and complex pipelines
* Make more cloud logs available for deeper analysis

How to Tame your Cloud Services Logs

In just 30 minutes, you’ll get a high-level tour of the ChaosSearch Data Lake Platform from one of our experts, and we’ll answer any questions that you might have!  ChaosSearch Data Platform highlights that we’ll cover: * Fully managed analytics platform leveraging your cloud object storage as a data store * Revolutionary technology that radically lowers costs of analyzing log data at scale * Unlimited data retention and queries * Enhanced query management with burst/cancel * Multi-user, SSO/OAuth * Fully integrated Kibana visualization with enhancements * Comprehensive customer dashboard for data analytics and tracking

Realizing the True Promise of Data Lake Economics for Log Analytics

Enterprises walk a knife edge when it comes to digital transformation. They must scale their operations on the cloud, but somehow minimize complexity and disruptions.  The discipline of cloud operations (CloudOps) aims to strike the right balance by intelligently provisioning resources, utilizing capacity, and mitigating issues-all with the help of cloud log analytics.  In this webinar, you will learn: * The role of log analytics in CloudOps * Requirements, challenges, and benefits of log analytics for CloudOps * Case studies, pitfalls, and lessons learned  This webinar explores why and how log analytics makes CloudOps more effective. Eckerson Group and ChaosSearch will explore how to glean intelligence from the blizzard of logs thrown off by modern hybrid cloud architectures.  Join our discussion to understand use cases, tools, and best practices for log analytics that help you maximize business uptime.

Why and How Log Analytics Makes Cloud Operations Smarter

In the era of product-led growth, log data is king. Yet many organizations only retain a few days or maybe a week’s worth of log data for analytics, max. Why? Because current log management solutions are too complex, brittle, and expensive at scale, forcing organizations to compromise.

However, some companies are taking a new approach. Join this session to glean insights from one fast-growing SaaS firm’s journey first-hand. You'll learn:

>> Why it’s important to collect, store and analyze long-term log data
>> How to activate their existing cloud object storage environment(s) into a data lake for analytics at scale
>> Lessons learned from others facing similar log data challenges

Jimmy McDermott, CTO and Co-founder of Transeo, will talk through their reasons for modernizing their log management stack, how their current environment works, and provide examples of the business value they’re recognizing while saving 30% in monthly costs vs. the Elasticsearch stack.

ChaosSearch’s Thomas Hazel will weigh in and explain how the ChaosSearch Data Lake Platform indexes customers’ cloud data, rendering it fully searchable and enabling analytics at scale with massive reductions of time, cost and complexity.

How a Fast-growing SaaS Scaled Log Analytics While Saving 30% per Month

Today, businesses that seek to be data-driven are deluged by the sheer volume of security, availability, log analytics, and other machine-generated data, which is overwhelming current analytics solutions.

For BI and other analytics teams, each new use case requires weeks or even months to set up; data is kept in silos with limited retention, limiting its usefulness to data consumers. Furthermore the need to migrate and manipulate data creates significant cost and compliance risks.

Now imagine if you could easily create an enterprise-wide data lake with your existing cloud object storage to serve multiple business units and data consumers; AND all while simultaneously increasing agility, improve governance, reduce costs and free up critical resources!

This session was a part of the Intelligent Data Summit by Integration Developer News.

Activating Your Data Lake for Analytics | How Data Lakes can Drive Analytics

Today, businesses that seek to be data-driven are deluged by the sheer volume of security, availability, log analytics, and other machine-generated data, which is overwhelming current analytics solutions.

For BI and other analytics teams, each new use case requires weeks or even months to set up; data is kept in silos with limited retention, limiting its usefulness to data consumers. Furthermore the need to migrate and manipulate data creates significant cost and compliance risks.

Now imagine if you could:

* Easily create an enterprise-wide data lake with your existing cloud storage to serve multiple business units and data consumers

* Simultaneously increase agility, improve governance, reduce costs and free up critical resources

* Achieve product-led growth via radically faster time to insights, by combining unlimited app data and relational source data to understand product usage by client or client segments

View this webinar to hear Corey Quinn, Jeremy Foran and Thomas Hazel discuss how you can do all of this and more - and all with your existing Amazon S3 cloud storage!

Activating the Enterprise Data Lake… At Last!

Log analytics can help by providing visibility into the intricate workings of IT components. ITOps, DevOps, and CloudOps engineers can use log analytics to ensure their IT environments meet the rigorous demands of the business. But you need the right log analytics tool to achieve these objectives.

View this Webinar to learn:
* Objectives, functionality, and use cases for ITOps, DevOps, and CloudOps
* How log analytics supports these "ops" disciplines
* Questions to address as you evaluate and compare log analytics tools

The modern IT organization struggles to manage competing priorities. While ITOps engineers need to stabilize and control their growing environments, DevOps engineers need to accelerate application releases. CloudOps engineers seek to achieve both those goals as they move to cloud platforms, but still must integrate with persistent on-premises systems.

This webinar explores why log analytics matters, and will define criteria by which you can evaluate log analytics solutions, including analytical flexibility, ease of use, performance, scalability, and open interoperability — as well as its implications for other types of management tools in your environment.

Log Analytics for ITOps, DevOps, & CloudOps

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Data Analytics

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Data Lake

Data Management

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Log Analytics for ITOps, DevOps, & CloudOps

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