Skip to main content

LogDNA Releases Control API Suite

LogDNA introduced the Control API Suite, making it even easier for users to control their log data.

With four new APIs, teams can set up rules with their deployment workflows that will streamline how data is used throughout the organization.

As IT complexity grows, the volume of data generated across various sources — such as Kubernetes, cloud, and DevOps tools — surges at exponential rates. Companies are challenged to ingest, process, route, and store this data to maximize the value without skyrocketing costs. LogDNA’s new Control API Suite puts control over log data in the hands of its users, giving teams the ability to programmatically configure and execute key workflows across multiple teams in LogDNA. As a result, teams can operate more efficiently and maximize the value of their data, whether it’s from the command line or within the LogDNA UI.

“Observability data, especially log data, is immensely valuable for modern business. We feel it should be easy to control, but too often, we hear from customers that scale, complexity, the wide variety of data consumers, and runaway costs make it impossible for them to get value out of all of their machine data,” said Tucker Callaway, CEO, LogDNA. “These updates are yet another step toward putting control into the hands of LogDNA users, and delivering a comprehensive platform that enables anyone to ingest, process, route, analyze, and store all of their log data in a way that makes sense for them.”

The LogDNA Control and Usage API Suite includes:

- Exclusion Rules API & Terraform Support: Customers can now programmatically configure exclusion rules via the Terraform Provider to exclude certain logs from being saved by LogDNA’s underlying datastore. This helps control cost and filter out noise for more focused debugging and troubleshooting. The API endpoints can be called to create, update, read, and delete exclusion rules while the Terraform Provider now recognizes exclusion rules as a configurable resource.

- Start/Stop Ingestion API: When incidents happen, it creates a surge in log data over a short period of time, and this flood of logs in Live Tail can cause chaos, confusion, and cost overages. During these situations, developers can now start and stop the ingestion of all logs as needed, so that they can access the data necessary to debug the issue without battling an influx of duplicated logs.

- Usage API: Users can programmatically query for which services are creating the most logs and automatically monitor their usage to better understand how their logs change over time. This capability — in addition to existing data views that show ingestion by apps, sources and tags — provides a better understanding of broad log trends over time, pinpointing specific applications that are contributing to the highest volume of logs.

- Archiving API and Terraform Support: When logs reach the end of their retention period, LogDNA customers can set up archiving to a third-party storage provider like an Amazon S3 bucket or IBM Cloud Object Storage. This new API allows users to programmatically configure their archiving integrations as well as use Terraform to manage their archiving instances as resources.

The LogDNA Control API Suite builds on recent innovations to further strengthen the foundation that companies need to meet today’s critical scale, storage, and routing requirements. Recently added capabilities, including LogDNA Streaming and Variable Retention, capitalize on LogDNA’s unparalleled ability to quickly ingest massive amounts of structured and unstructured data, normalize it, and provide granular control over storage to control costs and meet compliance needs. With LogDNA, enterprise teams no longer have to make difficult choices about how to use all of their machine data while controlling skyrocketing costs. The comprehensive platform enables anyone to maximize the value of their observability data.

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

LogDNA Releases Control API Suite

LogDNA introduced the Control API Suite, making it even easier for users to control their log data.

With four new APIs, teams can set up rules with their deployment workflows that will streamline how data is used throughout the organization.

As IT complexity grows, the volume of data generated across various sources — such as Kubernetes, cloud, and DevOps tools — surges at exponential rates. Companies are challenged to ingest, process, route, and store this data to maximize the value without skyrocketing costs. LogDNA’s new Control API Suite puts control over log data in the hands of its users, giving teams the ability to programmatically configure and execute key workflows across multiple teams in LogDNA. As a result, teams can operate more efficiently and maximize the value of their data, whether it’s from the command line or within the LogDNA UI.

“Observability data, especially log data, is immensely valuable for modern business. We feel it should be easy to control, but too often, we hear from customers that scale, complexity, the wide variety of data consumers, and runaway costs make it impossible for them to get value out of all of their machine data,” said Tucker Callaway, CEO, LogDNA. “These updates are yet another step toward putting control into the hands of LogDNA users, and delivering a comprehensive platform that enables anyone to ingest, process, route, analyze, and store all of their log data in a way that makes sense for them.”

The LogDNA Control and Usage API Suite includes:

- Exclusion Rules API & Terraform Support: Customers can now programmatically configure exclusion rules via the Terraform Provider to exclude certain logs from being saved by LogDNA’s underlying datastore. This helps control cost and filter out noise for more focused debugging and troubleshooting. The API endpoints can be called to create, update, read, and delete exclusion rules while the Terraform Provider now recognizes exclusion rules as a configurable resource.

- Start/Stop Ingestion API: When incidents happen, it creates a surge in log data over a short period of time, and this flood of logs in Live Tail can cause chaos, confusion, and cost overages. During these situations, developers can now start and stop the ingestion of all logs as needed, so that they can access the data necessary to debug the issue without battling an influx of duplicated logs.

- Usage API: Users can programmatically query for which services are creating the most logs and automatically monitor their usage to better understand how their logs change over time. This capability — in addition to existing data views that show ingestion by apps, sources and tags — provides a better understanding of broad log trends over time, pinpointing specific applications that are contributing to the highest volume of logs.

- Archiving API and Terraform Support: When logs reach the end of their retention period, LogDNA customers can set up archiving to a third-party storage provider like an Amazon S3 bucket or IBM Cloud Object Storage. This new API allows users to programmatically configure their archiving integrations as well as use Terraform to manage their archiving instances as resources.

The LogDNA Control API Suite builds on recent innovations to further strengthen the foundation that companies need to meet today’s critical scale, storage, and routing requirements. Recently added capabilities, including LogDNA Streaming and Variable Retention, capitalize on LogDNA’s unparalleled ability to quickly ingest massive amounts of structured and unstructured data, normalize it, and provide granular control over storage to control costs and meet compliance needs. With LogDNA, enterprise teams no longer have to make difficult choices about how to use all of their machine data while controlling skyrocketing costs. The comprehensive platform enables anyone to maximize the value of their observability data.

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...