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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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...