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Down Goes the Internet (Again) – Part Two: 4 Strategies to Ensure Website Performance

Start with Part One of this article: Down Goes the Internet (Again) – Are You Ready?

In this era of unprecedented complexity, it's virtually impossible for a modern website to eliminate all the risk associated with using third parties. However, there are proactive strategies an organization can implement to better manage and minimize their risk. These include:

1. Proactively monitor speed and availability

Proactively monitor the speed and availability of websites, web applications and mobile sites from the true end-user perspective.

Today, there are so many elements out there on the web that stand between your data center and your users, including not just third-party services, but content delivery networks (CDNs), local and regional ISPs, mobile carrier networks and browsers, for example. Measuring performance from your data center alone is insufficient – unless, of course, your users live in your data center, which is highly unlikely.

The true browser-based perspective is the only place where you can accurately gauge your user's experience at the end of an extremely long and complicated technology path known as the application delivery chain. Today's new generation application performance management (APM) solutions are based on this true user perspective.

2. Monitor all transactions

Monitor all transactions, 24x7 along the complete application delivery chain. Sampling is not a sufficient means of gauging performance, of course, because a major performance issue may very well occur outside your testing interval – think of the Amazon EC2 outage that impacted Netflix on Christmas day last year!

Due to the unpredictability of major service outages, you need to be monitoring all transactions around the clock, to identify all performance aberrations and their root causes – both within and beyond the firewall – quickly and accurately, and get ahead of them.

3. Baseline and uphold performance-focused SLAs

Service-level agreements (SLAs) promising a certain level of availability on the part of a third-party service provider mean very little when it comes to performance.

For example, just because your cloud service provider's servers are up and running does not mean your users are experiencing an acceptable level of speed and reliability. Remember, third party services of all types are serving thousands of customers like you around the globe, and a spike in another customer's traffic may impact you.

With little insight into third party service providers' capacity planning decisions, you need to monitor performance levels yourself to ensure they don't drop off, and validate these against performance-focused SLAs. To get a sense of how a third party service provider may be impacting your overall performance, it can be helpful to compare your site's speed and availability before the third party service is added, to afterwards.

4. Utilize industry resources

Utilize industry resources to better assess if the source of a performance problem lies with you or one of your third-party service providers, as well as the likely performance impact on your customers.

These services may not prevent third party service outages from happening, but they can help companies better understand the source of performance problems so they can get in front of them more confidently and efficiently.

Conclusion

The reality is: the delivery chain underlying the services we often take for granted is so tenuous, that it's a marvel they don't break down more often. While outages may be inevitable, this does not make them any less costly or damaging to a company's reputation and revenues.

For example, on August 19, Amazon's North American retail site went down for about 49 minutes, with visitors greeted with the word “oops.” No explanation was given, but one estimate by Forbes put the cost to Amazon at nearly $2 million in sales.

But it's not just the “big guys” like Amazon that you need to focus on. The fact is that little storms are happening on the internet all the time, and you need to be prepared for them. When it comes to surviving and thriving in the age of increasing web complexity, an ounce of prevention can be worth a pound of cure. By taking advantage of several relatively simple and inexpensive approaches, organizations can better exploit all that third party services have to offer, while reducing the inherent risks.

Klaus Enzenhofer is Technology Strategist for Compuware APM’s Center of Excellence.

Down Goes the Internet (Again) – Part One: Are You Ready?

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Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

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Down Goes the Internet (Again) – Part Two: 4 Strategies to Ensure Website Performance

Start with Part One of this article: Down Goes the Internet (Again) – Are You Ready?

In this era of unprecedented complexity, it's virtually impossible for a modern website to eliminate all the risk associated with using third parties. However, there are proactive strategies an organization can implement to better manage and minimize their risk. These include:

1. Proactively monitor speed and availability

Proactively monitor the speed and availability of websites, web applications and mobile sites from the true end-user perspective.

Today, there are so many elements out there on the web that stand between your data center and your users, including not just third-party services, but content delivery networks (CDNs), local and regional ISPs, mobile carrier networks and browsers, for example. Measuring performance from your data center alone is insufficient – unless, of course, your users live in your data center, which is highly unlikely.

The true browser-based perspective is the only place where you can accurately gauge your user's experience at the end of an extremely long and complicated technology path known as the application delivery chain. Today's new generation application performance management (APM) solutions are based on this true user perspective.

2. Monitor all transactions

Monitor all transactions, 24x7 along the complete application delivery chain. Sampling is not a sufficient means of gauging performance, of course, because a major performance issue may very well occur outside your testing interval – think of the Amazon EC2 outage that impacted Netflix on Christmas day last year!

Due to the unpredictability of major service outages, you need to be monitoring all transactions around the clock, to identify all performance aberrations and their root causes – both within and beyond the firewall – quickly and accurately, and get ahead of them.

3. Baseline and uphold performance-focused SLAs

Service-level agreements (SLAs) promising a certain level of availability on the part of a third-party service provider mean very little when it comes to performance.

For example, just because your cloud service provider's servers are up and running does not mean your users are experiencing an acceptable level of speed and reliability. Remember, third party services of all types are serving thousands of customers like you around the globe, and a spike in another customer's traffic may impact you.

With little insight into third party service providers' capacity planning decisions, you need to monitor performance levels yourself to ensure they don't drop off, and validate these against performance-focused SLAs. To get a sense of how a third party service provider may be impacting your overall performance, it can be helpful to compare your site's speed and availability before the third party service is added, to afterwards.

4. Utilize industry resources

Utilize industry resources to better assess if the source of a performance problem lies with you or one of your third-party service providers, as well as the likely performance impact on your customers.

These services may not prevent third party service outages from happening, but they can help companies better understand the source of performance problems so they can get in front of them more confidently and efficiently.

Conclusion

The reality is: the delivery chain underlying the services we often take for granted is so tenuous, that it's a marvel they don't break down more often. While outages may be inevitable, this does not make them any less costly or damaging to a company's reputation and revenues.

For example, on August 19, Amazon's North American retail site went down for about 49 minutes, with visitors greeted with the word “oops.” No explanation was given, but one estimate by Forbes put the cost to Amazon at nearly $2 million in sales.

But it's not just the “big guys” like Amazon that you need to focus on. The fact is that little storms are happening on the internet all the time, and you need to be prepared for them. When it comes to surviving and thriving in the age of increasing web complexity, an ounce of prevention can be worth a pound of cure. By taking advantage of several relatively simple and inexpensive approaches, organizations can better exploit all that third party services have to offer, while reducing the inherent risks.

Klaus Enzenhofer is Technology Strategist for Compuware APM’s Center of Excellence.

Down Goes the Internet (Again) – Part One: Are You Ready?

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...