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6 Valuable Takeaways from the Internet Fails of 2021

Avoiding Internet failures requires a strategic prevention and preparation plan, solid change management process and a holistic monitoring and observability solution
Mehdi Daoudi
Catchpoint

The adjective "disruptive" applied to the year 2021 is an apt descriptor of the tumultuous change we have all experienced due to the many transformations wrought by the pandemic. Digital transformation has delivered a two-edged sword of salvation and chaotic complexity. We have also seen Internet disruptions and outages become more frequent, a worrying trend with an increasingly remote workforce heavily reliant upon distributed cloud-based apps.

Our growing dependence on the cloud and Internet for business means we must take time to prepare for downtime and latency issues. There are valuable lessons found in most failures, and the Internet outages of 2021 certainly provide ample motivation to revamp processes for mitigating system disruptions. Here are six take-aways from 2021's Internet fails that can be used to increase efficiencies in managing the system infrastructure of any enterprise, no matter its size or sector.

1. Even a small change can lead to a major fail

Even the most technically sophisticated business can experience a serious system glitch. Almost all outages are the result of a manual or automated change to code or configuration.

Developing a rigorous change management approach and putting solid protocols in place will help to manage change and its possible consequences. It's important to establish clear policies and procedures around every change, with rollback steps in place for quick restoration when needed.

Your approach should involve tracking every change, testing every change before deployment, and monitoring all services, transactions and outputs that may be impacted if things do go wrong.

2. Monitor beyond your own areas of control

IT typically monitors those areas in which they are most active, like VMs, hardware and code. But they must look beyond an assumption that code bugs or infrastructure load issues are the primary causes of failure. It is equally crucial to observe what is actually delivered to consumers or users.

For an end-to-end view, IT needs visibility into areas outside of their control, such as third-party CDNs, managed DNS, and backbone ISPs. This will allow IT teams to act quickly in the event of a failure, whether that's dropping a third-party, switching to a backup solution, and of course, clearly communicating with users while teams work to resolve the situation.

3. Know the foundations of your network

Many of us live by the old adage, "If it a ain't broke, don't fix it." In the context of system infrastructure, this is often applied as, "If it ain't fixed, it won't break." If there have been no changes or modifications, we often make the mistake of assuming everything is stable.

Unfortunately, this mindset may lead you to miss those single points of failure in your system infrastructure that are rarely changed, such as DNS, BGP, and TCP configurations. All system components need continuous monitoring. Equally, teams must be prepared with a solid plan of action and having regularly practiced their response.

4. I trust you, but let's double check

When another team or vendor is making a change, it is easy to simply trust they have initiated the proper planning and analysis to make sure it's a success, but it's essential you take your own measures to verify this since the outcomes are so crucial.

Using a "Trust and Verify" approach ensures that all the checks and balances are in place when determining the impact of a change. It is essential to have a crisis call plan in place that outlines who is on call, what to do, and who to notify about the specific issue.

Other essentials are a mitigation plan for the failure, which has been pre-tested, and a communication process with templates that include need-to-know info for users and customers. Moreover, developing a monitoring and observability plan is crucial for covering all aspects of system analysis and awareness.

5. An experience monitoring and observability platform solution is your fail-safe

Deploying a holistic monitoring and observability solution platform, that enables deep visibility into all internal system components and the entire delivery chain, should be an enterprise essential. This ensures independent monitoring of every potential point of failure, which ensures you can detect outages and issues from anywhere in real time.

By establishing a baseline for how things look before a change is made, you can understand the impact of the change in regards to areas such as latency, dropped connections, slower DNS servers, and so on. As opposed to simply looking at code tracings and logs, there should be continual testing and evaluation of the output of IT services from the perspective of the end user. Monitoring must be conducted both inside the product environment and outside for 360 degree visibility into the experience.

It is also important not to rely on a cloud-only monitoring and observability solution, which can leave dangerous blind spots across the service delivery chain, and inaccurately report the end user experience.

DNS observability is essential, for instance, since a DNS problem can cause havoc and lengthy outages, like the one experienced on October 1, 2021 at Slack, one of the world's largest collaboration and messaging apps where the core problem was due to a DNS misconfiguration. Users in need of Slack's services were unable to access the app, nor or did they know why since the Slack status page was also down. The outage lasted over 15 hours, as the teams at Slack tried to discern the root cause.

If an enterprise has a monitoring plan and solution that includes a combination of observation across backbone and last mile networks, they would be able to collect data on the availability and performance of real end users trying to access digital services on their home or office networks, including pinpointing DNS as the root cause.

6. Ultimately, communication is key

A communication plan that lays out responsibilities for every role and clear contact channels can alleviate confusion during an outage. It is important to take control of media communications with clearly laid-out protocols, including the potential involvement of a PR firm in the case of a substantial Internet outage, to prevent your enterprise from being a victim of speculation and brand erosion.

Take a lesson from the November 16 Google Cloud outage and establish a process where you are able to change the DNS or CDN configuration to point users to a clearly designed error page that acknowledges the failure and assures resolution with honesty and transparency. Practice your communication plan regularly, so that teams are always prepared, and your end users know what is going on.

Mehdi Daoudi is CEO and Co-Founder of Catchpoint

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6 Valuable Takeaways from the Internet Fails of 2021

Avoiding Internet failures requires a strategic prevention and preparation plan, solid change management process and a holistic monitoring and observability solution
Mehdi Daoudi
Catchpoint

The adjective "disruptive" applied to the year 2021 is an apt descriptor of the tumultuous change we have all experienced due to the many transformations wrought by the pandemic. Digital transformation has delivered a two-edged sword of salvation and chaotic complexity. We have also seen Internet disruptions and outages become more frequent, a worrying trend with an increasingly remote workforce heavily reliant upon distributed cloud-based apps.

Our growing dependence on the cloud and Internet for business means we must take time to prepare for downtime and latency issues. There are valuable lessons found in most failures, and the Internet outages of 2021 certainly provide ample motivation to revamp processes for mitigating system disruptions. Here are six take-aways from 2021's Internet fails that can be used to increase efficiencies in managing the system infrastructure of any enterprise, no matter its size or sector.

1. Even a small change can lead to a major fail

Even the most technically sophisticated business can experience a serious system glitch. Almost all outages are the result of a manual or automated change to code or configuration.

Developing a rigorous change management approach and putting solid protocols in place will help to manage change and its possible consequences. It's important to establish clear policies and procedures around every change, with rollback steps in place for quick restoration when needed.

Your approach should involve tracking every change, testing every change before deployment, and monitoring all services, transactions and outputs that may be impacted if things do go wrong.

2. Monitor beyond your own areas of control

IT typically monitors those areas in which they are most active, like VMs, hardware and code. But they must look beyond an assumption that code bugs or infrastructure load issues are the primary causes of failure. It is equally crucial to observe what is actually delivered to consumers or users.

For an end-to-end view, IT needs visibility into areas outside of their control, such as third-party CDNs, managed DNS, and backbone ISPs. This will allow IT teams to act quickly in the event of a failure, whether that's dropping a third-party, switching to a backup solution, and of course, clearly communicating with users while teams work to resolve the situation.

3. Know the foundations of your network

Many of us live by the old adage, "If it a ain't broke, don't fix it." In the context of system infrastructure, this is often applied as, "If it ain't fixed, it won't break." If there have been no changes or modifications, we often make the mistake of assuming everything is stable.

Unfortunately, this mindset may lead you to miss those single points of failure in your system infrastructure that are rarely changed, such as DNS, BGP, and TCP configurations. All system components need continuous monitoring. Equally, teams must be prepared with a solid plan of action and having regularly practiced their response.

4. I trust you, but let's double check

When another team or vendor is making a change, it is easy to simply trust they have initiated the proper planning and analysis to make sure it's a success, but it's essential you take your own measures to verify this since the outcomes are so crucial.

Using a "Trust and Verify" approach ensures that all the checks and balances are in place when determining the impact of a change. It is essential to have a crisis call plan in place that outlines who is on call, what to do, and who to notify about the specific issue.

Other essentials are a mitigation plan for the failure, which has been pre-tested, and a communication process with templates that include need-to-know info for users and customers. Moreover, developing a monitoring and observability plan is crucial for covering all aspects of system analysis and awareness.

5. An experience monitoring and observability platform solution is your fail-safe

Deploying a holistic monitoring and observability solution platform, that enables deep visibility into all internal system components and the entire delivery chain, should be an enterprise essential. This ensures independent monitoring of every potential point of failure, which ensures you can detect outages and issues from anywhere in real time.

By establishing a baseline for how things look before a change is made, you can understand the impact of the change in regards to areas such as latency, dropped connections, slower DNS servers, and so on. As opposed to simply looking at code tracings and logs, there should be continual testing and evaluation of the output of IT services from the perspective of the end user. Monitoring must be conducted both inside the product environment and outside for 360 degree visibility into the experience.

It is also important not to rely on a cloud-only monitoring and observability solution, which can leave dangerous blind spots across the service delivery chain, and inaccurately report the end user experience.

DNS observability is essential, for instance, since a DNS problem can cause havoc and lengthy outages, like the one experienced on October 1, 2021 at Slack, one of the world's largest collaboration and messaging apps where the core problem was due to a DNS misconfiguration. Users in need of Slack's services were unable to access the app, nor or did they know why since the Slack status page was also down. The outage lasted over 15 hours, as the teams at Slack tried to discern the root cause.

If an enterprise has a monitoring plan and solution that includes a combination of observation across backbone and last mile networks, they would be able to collect data on the availability and performance of real end users trying to access digital services on their home or office networks, including pinpointing DNS as the root cause.

6. Ultimately, communication is key

A communication plan that lays out responsibilities for every role and clear contact channels can alleviate confusion during an outage. It is important to take control of media communications with clearly laid-out protocols, including the potential involvement of a PR firm in the case of a substantial Internet outage, to prevent your enterprise from being a victim of speculation and brand erosion.

Take a lesson from the November 16 Google Cloud outage and establish a process where you are able to change the DNS or CDN configuration to point users to a clearly designed error page that acknowledges the failure and assures resolution with honesty and transparency. Practice your communication plan regularly, so that teams are always prepared, and your end users know what is going on.

Mehdi Daoudi is CEO and Co-Founder of Catchpoint

The Latest

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...