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4 Strategies to Slash Observability Costs

Dotan Horovits
Logz.io

In a world where software systems rule the digital landscape, there's a lurking terror that goes bump in the code. It's called "observability," and you may not be prepared to pay its price.

Observability is essential for maintaining the performance and reliability of digital creations. Like a boat in shark-infested waters, it's a lifeline of modern software. But beware, for the cost of attaining the power of observability can quickly spiral out of control, like a monster lurking in the depths, waiting to strike when you least expect it.


In the darkest corners of the tech world, we hear the chilling cries of organizations, tormented by the relentless rise of the cost of observability. Every dollar spent on technology is scrutinized and dissected. Meanwhile, nefarious vendors take advantage of the desperate need for observability, charging terrifying fees to transport data to their unholy platforms, data that holds virtually no value.

But fear not, for there is a different path, a path to cost-effective observability. Join me as we venture into this cryptic world with practical tips to help you vanquish observability costs, without compromising your monitoring and troubleshooting prowess.

Tip #1: Optimize Your Data

In this haunted realm, one of the most pervasive villains is excessive and irrelevant data. Many organizations unwittingly ship massive volumes of metrics and logs, most of which are mere phantoms, holding no value. To banish this data demon, you must identify and capture only the meaningful data that affects your business. By filtering out the unnecessary, you can significantly reduce the cost of storage and processing, focusing your energies on what truly matters.

Thanks to the "mysteries" of machine learning, we can now unlock the secrets of multi-layer data optimization and distinguish between living and undead data. With the right tools, we can now visualize the metrics and logs that are truly alive, and ignore those that wander the land of the dead. Armed with this knowledge, you can make informed decisions, leading to substantial cost savings.

Tip #2: Manage Data Retention

Not all data deserves to ascend to the observability plane. Some data must be preserved, while others can be released into the ether. By managing data retention wisely, you can reduce storage costs without sacrificing your ability to troubleshoot and comply with the dark arts of regulations.

The key is to segregate your data based on specific use cases and retention requirements. Each use case should have its own set of retention policies, ensuring that the critical data lingers for the required duration while less important data meets its demise sooner. In this way, you can flexibly optimize costs, aligning data retention with its value and importance to your organization.

Tip #3: The Alchemy of Logs to Metrics

Sending logs is like sending a message to the beyond, but the true value lies in the insights that rise from the darkness. Many organizations find themselves drowning in the deluge of logs, trapped in a nightmarish maelstrom of data overload. However, by converting logs into meaningful metrics, you can refine data analysis, visualization, and alerting, all while reducing costs. No longer will you be haunted by the specter of high storage costs, for you can define parameters to generate metrics that unveil system performance, success rates, failure rates, and more.

Tip #4: Leverage Sub-Accounts for Cost Control

In the sprawling mansion of observability, managing costs can be as daunting as a haunted maze. One of the best ways to conquer the labyrinth is to provide cost accountability and autonomy to different teams within your organization.

By allocating specific budgets to sub-accounts, you can impose cost limits on each team while allowing them to manage their observability needs. This approach ensures teams are responsible for their spending and, if done correctly, casts a protective spell to ensure teams only see the data they need for their tasks, reducing compliance risks. Sub-accounts bring balance between autonomy and cost control, like a ghostly guide through the labyrinth of resource utilization and budget management.

End the Nightmare: Cost-Efficient Observability Can Be Your Reality

Observability, though essential, need not be a horror story of costs spiraling out of control. By heeding these practical tips, you can wrestle control from the observability cost beast, all while maintaining your monitoring and troubleshooting prowess.

Focus on meaningful data by utilizing data optimization techniques; convert logs into metrics; master the dark arts of storage and data retention policies; and wield sub-accounts for cost control — These are the keys to achieving cost-efficient observability, without compromising your critical monitoring processes.

So be brave enough to face the shadows and seek the observability you desire at a price that won't cost you an arm and a leg. When you do, the horror of observability costs shall haunt you no more!

Dotan Horovits is Principal Developer Advocate at Logz.io

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4 Strategies to Slash Observability Costs

Dotan Horovits
Logz.io

In a world where software systems rule the digital landscape, there's a lurking terror that goes bump in the code. It's called "observability," and you may not be prepared to pay its price.

Observability is essential for maintaining the performance and reliability of digital creations. Like a boat in shark-infested waters, it's a lifeline of modern software. But beware, for the cost of attaining the power of observability can quickly spiral out of control, like a monster lurking in the depths, waiting to strike when you least expect it.


In the darkest corners of the tech world, we hear the chilling cries of organizations, tormented by the relentless rise of the cost of observability. Every dollar spent on technology is scrutinized and dissected. Meanwhile, nefarious vendors take advantage of the desperate need for observability, charging terrifying fees to transport data to their unholy platforms, data that holds virtually no value.

But fear not, for there is a different path, a path to cost-effective observability. Join me as we venture into this cryptic world with practical tips to help you vanquish observability costs, without compromising your monitoring and troubleshooting prowess.

Tip #1: Optimize Your Data

In this haunted realm, one of the most pervasive villains is excessive and irrelevant data. Many organizations unwittingly ship massive volumes of metrics and logs, most of which are mere phantoms, holding no value. To banish this data demon, you must identify and capture only the meaningful data that affects your business. By filtering out the unnecessary, you can significantly reduce the cost of storage and processing, focusing your energies on what truly matters.

Thanks to the "mysteries" of machine learning, we can now unlock the secrets of multi-layer data optimization and distinguish between living and undead data. With the right tools, we can now visualize the metrics and logs that are truly alive, and ignore those that wander the land of the dead. Armed with this knowledge, you can make informed decisions, leading to substantial cost savings.

Tip #2: Manage Data Retention

Not all data deserves to ascend to the observability plane. Some data must be preserved, while others can be released into the ether. By managing data retention wisely, you can reduce storage costs without sacrificing your ability to troubleshoot and comply with the dark arts of regulations.

The key is to segregate your data based on specific use cases and retention requirements. Each use case should have its own set of retention policies, ensuring that the critical data lingers for the required duration while less important data meets its demise sooner. In this way, you can flexibly optimize costs, aligning data retention with its value and importance to your organization.

Tip #3: The Alchemy of Logs to Metrics

Sending logs is like sending a message to the beyond, but the true value lies in the insights that rise from the darkness. Many organizations find themselves drowning in the deluge of logs, trapped in a nightmarish maelstrom of data overload. However, by converting logs into meaningful metrics, you can refine data analysis, visualization, and alerting, all while reducing costs. No longer will you be haunted by the specter of high storage costs, for you can define parameters to generate metrics that unveil system performance, success rates, failure rates, and more.

Tip #4: Leverage Sub-Accounts for Cost Control

In the sprawling mansion of observability, managing costs can be as daunting as a haunted maze. One of the best ways to conquer the labyrinth is to provide cost accountability and autonomy to different teams within your organization.

By allocating specific budgets to sub-accounts, you can impose cost limits on each team while allowing them to manage their observability needs. This approach ensures teams are responsible for their spending and, if done correctly, casts a protective spell to ensure teams only see the data they need for their tasks, reducing compliance risks. Sub-accounts bring balance between autonomy and cost control, like a ghostly guide through the labyrinth of resource utilization and budget management.

End the Nightmare: Cost-Efficient Observability Can Be Your Reality

Observability, though essential, need not be a horror story of costs spiraling out of control. By heeding these practical tips, you can wrestle control from the observability cost beast, all while maintaining your monitoring and troubleshooting prowess.

Focus on meaningful data by utilizing data optimization techniques; convert logs into metrics; master the dark arts of storage and data retention policies; and wield sub-accounts for cost control — These are the keys to achieving cost-efficient observability, without compromising your critical monitoring processes.

So be brave enough to face the shadows and seek the observability you desire at a price that won't cost you an arm and a leg. When you do, the horror of observability costs shall haunt you no more!

Dotan Horovits is Principal Developer Advocate at Logz.io

Hot Topics

The Latest

A recent Rocket Software and Foundry study found that just 28% of organizations fully leverage their mainframe data, a concerning statistic given its critical role in powering AI models, predictive analytics, and informed decision-making ...

What kind of ROI is your organization seeing on its technology investments? If your answer is "it's complicated," you're not alone. According to a recent study conducted by Apptio ... there is a disconnect between enterprise technology spending and organizations' ability to measure the results ...

In today’s data and AI driven world, enterprises across industries are utilizing AI to invent new business models, reimagine business and achieve efficiency in operations. However, enterprises may face challenges like flawed or biased AI decisions, sensitive data breaches and rising regulatory risks ...

In MEAN TIME TO INSIGHT Episode 12, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses purchasing new network observability solutions.... 

There's an image problem with mobile app security. While it's critical for highly regulated industries like financial services, it is often overlooked in others. This usually comes down to development priorities, which typically fall into three categories: user experience, app performance, and app security. When dealing with finite resources such as time, shifting priorities, and team skill sets, engineering teams often have to prioritize one over the others. Usually, security is the odd man out ...

Image
Guardsquare

IT outages, caused by poor-quality software updates, are no longer rare incidents but rather frequent occurrences, directly impacting over half of US consumers. According to the 2024 Software Failure Sentiment Report from Harness, many now equate these failures to critical public health crises ...

In just a few months, Google will again head to Washington DC and meet with the government for a two-week remedy trial to cement the fate of what happens to Chrome and its search business in the face of ongoing antitrust court case(s). Or, Google may proactively decide to make changes, putting the power in its hands to outline a suitable remedy. Regardless of the outcome, one thing is sure: there will be far more implications for AI than just a shift in Google's Search business ... 

Image
Chrome

In today's fast-paced digital world, Application Performance Monitoring (APM) is crucial for maintaining the health of an organization's digital ecosystem. However, the complexities of modern IT environments, including distributed architectures, hybrid clouds, and dynamic workloads, present significant challenges ... This blog explores the challenges of implementing application performance monitoring (APM) and offers strategies for overcoming them ...

Service disruptions remain a critical concern for IT and business executives, with 88% of respondents saying they believe another major incident will occur in the next 12 months, according to a study from PagerDuty ...

IT infrastructure (on-premises, cloud, or hybrid) is becoming larger and more complex. IT management tools need data to drive better decision making and more process automation to complement manual intervention by IT staff. That is why smart organizations invest in the systems and strategies needed to make their IT infrastructure more resilient in the event of disruption, and why many are turning to application performance monitoring (APM) in conjunction with high availability (HA) clusters ...