Taming Multi-Cloud, Hybrid Cloud, Docker, and Kubernetes

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This document discusses best practices for optimizing log management in modern, complex IT environments. It notes the rise of technologies like microservices, containers, and serverless computing have greatly increased infrastructure complexity. It recommends taking a unified approach to log management, monitoring both logs and metrics across bare metal, virtual machines, Kubernetes, and serverless platforms. This will help increase visibility, simplify instrumentation for developers, and provide a basis for continuous compliance.

IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Taming Multi-Cloud, Hybrid Cloud, Docker, and Kubernetes:
Five Best Practices to Optimize Log Management for DevOps,
SREs, and IT Operations
EMA
Torsten Volk (Research Director)
Twitter: @torstenvolk
SolarWinds
Bradley Sisson (Technical Account Manager)
Email: bradley.sisson@solarwinds.com

IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Agenda
Slide 2 © 2019 Enterprise Management Associates, Inc.
Taming Multi-Cloud, Hybrid Cloud, Docker,
and Kubernetes:
Five Best Practices to Optimize Log
Management for DevOps, SREs, and IT
Operations
Agenda
• Five critical questions to ask log
analytics vendors
• Balance log analytics
requirements between traditional
and modern apps
• Impact of log analytics on security
and compliance
• Increase DevOps efficiency and
lower operational risk

IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Unified Monitoring of Data Center and Public Cloud
Rapid increase in application complexity between 2016 and today
Slide 3 © 2019 Enterprise Management Associates, Inc.
335
714 685
883
1,908 5,214 (+173%) 5,018 (-4%) 6,359 (+27%)
October 2019October 2018October 2017October 2016
Each dot represents a category of developer questions on stackoverflow.com (on Nov 15, 2019)

IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Unified Monitoring of Data Center and Public Cloud
62% increase in AWS complexity
Slide 4 © 2019 Enterprise Management Associates, Inc.
2018 2019 YTD
12,957 issue categories 20,950 issue categories (+62%)
Data source: stackoverflow.com

IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Unified Monitoring of Data Center and Public Cloud
Slide 5 © 2019 Enterprise Management Associates, Inc.
Top 10 fastest growing public cloud services
between January 2018 and today
The rise of DevOps and continuous delivery
brings further complexity
Data source: devopshelp.com

IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Unified Monitoring of Data Center and Public Cloud
Slide 6 © 2019 Enterprise Management Associates, Inc.
335 714 (+113%) 685 (-4%) 883 (+29%)
October 2019October 2018October 2017October 2016
Application complexity directly translates into infrastructure complexity
Data source: serverfault.com

IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Monitor Bare Metal, VMs, Kubernetes, and Serverless
Slide 7 © 2019 Enterprise Management Associates, Inc.
36 different databases 15 networking options 16 storage platforms
22 automation platforms 12 container runtimes 5 container registries
Data source: CNCF dataset

IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Monitor Bare Metal, VMs, Kubernetes, and Serverless
Slide 8 © 2019 Enterprise Management Associates, Inc.
And 35 application management technologies… … and
• 12 API gateways
• 25 service mesh
platforms
• 21 Kubernetes
distributions
• And counting
Data source: CNCF dataset

IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Monitor Bare Metal, VMs, Kubernetes, and Serverless
Slide 9 © 2019 Enterprise Management Associates, Inc.
Serverless
technologies grew
1,200% since 2016
Data source: stackoverflow.com

IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Monitor Bare Metal, VMs, Kubernetes, and Serverless
Slide 10 © 2019 Enterprise Management Associates, Inc.
Serverless added over
1,000 more problem
categories
Data source: StackOverflow.com

IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Jointly Monitor Logs and Metrics
Slide 11 © 2019 Enterprise Management Associates, Inc.
Issues related to monitoring logs and
metrics doubled since Q1, 2018.
Logs and metrics are often monitored
separately
Data source: stackoverflow.com

IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Simplify Instrumentation for Developers
Consistency is critical for
code instrumentation
Recent progress:
OpenTracing and
OpenCensus merged into
OpenTelemetry
Slide 12 © 2019 Enterprise Management Associates, Inc.
Source: stackoverflow.com

IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Jointly Monitor Metrics and Logs
Slide 13 © 2019 Enterprise Management Associates, Inc.
Metrics Logging
Data source: github.com

IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Guidance for Operators
Rapid growth of
microservices
(orange) and
serverless
applications (red)
Result: Logs and
metrics becoming a
bigger challenge
Slide 14 © 2019 Enterprise Management Associates, Inc.
Source: stackoverflow.com

IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Guidance for Operators
Slide 15 © 2019 Enterprise Management Associates, Inc.
Source: stackoverflow.com
Microservices have
added tremendous
operational
complexity

IT & DATA MANAGEMENT RESEARCH,
INDUSTRY ANALYSIS & CONSULTING
Summary
Slide 16 © 2019 Enterprise Management Associates, Inc.
• Simplicity is key
• Eliminate all silos
• Applications and infrastructure are becoming
one
• Unified logs, metrics, and traces are the basis
for continuous compliance
• No excuses

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In this talk we will describe the journey we made with one of our customers, Volotea, to deploy a serverless Business Intelligence (BI), Machine Learning (ML) and Big Data (BD) platform on the Cloud. The new platform leverages Platform-as-a-Service (PaaS) Cloud services, and it is the result of the reengineering and extension of an existing platform based on Cloud Infrastructure-as-a-Service (IaaS) services and bare-metal systems. Managing and maintaining BI, ML and BD platforms based on bare-metal or IaaS deployments is not a straightforward task, and as size and complexity grow, we often find ourselves spending more and more time in tasks that are rather administrative, more than of a development or analytics nature. That is exactly what Volotea realized, and together we envisioned and executed a plan to lift and reengineer their platform into a new solution that leverages Microsoft Azure PaaS services. We have delivered a solution that manages to greatly reduce the administrative burden as well as the technical complexity when implementing new use cases. The new platform is based on the Microsoft Azure stack and it includes Azure Data Lake, Azure Data Lake Analytics, Azure Data Factory, Azure Machine Learning and Azure SQL Database. Join us in this talk where we will share our lessons learned and we will discuss how to plan and execute such an endeavor.

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The webinar discussed how time series databases can create value by enabling organizations to profit from digital shifts related to applications, customer engagement, IoT, and globalization. Time series data is growing significantly due to IoT and is crucial for monitoring devices and infrastructure. The webinar covered how time series data and analysis can provide insights for customer retention and experience, high frequency trading and transactions, and global applications like solar energy monitoring.

AIOps Deployments in the Real World: Bringing Operations and Security Together

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How Analytics Optimize Migration to Amazon Web Services, Microsoft Azure and ...

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The question of whether to transition enterprise applications to the cloud is a valid question in most organizations. Determining which applications should go and how to maintain control once they are there, however, is slowing down the journey to the cloud. These slides - based on the webinar hosted by leading IT analyst firm Enterprise Management Associates (EMA) - cover how you can avoid the common mistakes and reduce risk in the transformation to cloud.

Event-driven Business: How Leading Companies Are Adopting Streaming Strategies

confluent

With the evolution of data-driven strategies, event-based business models are influential in innovative organizations. These new business models are built around the availability of real-time information on customers, payments and supply chains. As businesses look to expand traditional revenues, sourcing events from enterprise applications, mobile apps, IoT devices and social media in real time becomes essential to staying ahead of the competition. Join John Santaferraro, Research Director at leading IT analyst firm Enterprise Management Associates (EMA), and Lyndon Hedderly, Director of Customer Solutions at Confluent, to learn how business and technology leaders are adopting streaming strategies and how the world of streaming data implementations have changed for the better. You will also learn how organizations are: -Adopting streaming as a strategic decision -Using streaming data for a competitive advantage -Using real-time processing for their applications -Evolving roadblocks for streaming data -Creating business value with a streaming platform

Decoding Cloud for the Non-IT Executive

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The document summarizes a presentation about how cloud computing is democratizing access to enterprise technology. Some key points: - Cloud services like AWS S3 and EC2 have made massive computing power easily accessible to many users. - This trend is changing how organizations think about and access technology resources. It is also disrupting traditional IT sourcing models. - Choosing the best cloud delivery model for applications requires evaluating factors like workloads, security needs, and technical requirements.

Why Digital Transformations are Failing at Scale

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Sql Azure Partner Opportunities 07 29 2008

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This document discusses how SQL Azure can help businesses leverage cloud computing. It provides three examples of how businesses can use SQL Azure for success: 1) Innovating SaaS or web applications quickly at low cost, 2) Consolidating and virtualizing existing custom applications easily, and 3) Expanding packaged application offerings to the cloud to increase margins and reach new customers. SQL Azure allows businesses to focus on their core business instead of infrastructure and helps lower costs, shorten time to market, and increase scalability and geographical reach.

Modernization and the Operation of Hybrid Data Ecosystems

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Gartner EA: The Rise of Data-driven Architectures

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This document discusses the rise of data-driven architectures and the need for enterprise architecture (EA) tools to shift their focus from models to delivering actionable insights from data. It notes that most EA survey respondents felt current tools focus too much on drawings and not enough on useful answers. The document outlines how a data-driven EA can provide business value through faster decision making and addresses challenges around complexity, speed and data integration. It advocates that EA tools prioritize democratization, integration and accelerating decisions. The document also discusses trends around cloud infrastructure and the need for tools to help analyze multi-cloud environments and design cloud governance.

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There’s no denying that Cloud has evolved from being an outlying market disruptor to a mainstream method for delivering IT applications and services. In fact, it’s not uncommon to find that Enterprises use the services of more than one cloud at the same time. However, while a multi-cloud strategy offers many benefits, it also increases data management complexity and consequently reduces data availability. This webinar defines the meaning of DataOps and why it’s a crucial component for every multi-cloud approach.

Event-driven Business: How Leading Companies are Adopting Streaming Strategies

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