Installing LogDNA on Your Kubernetes Environment with 2 Kubectrl commands

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LOGDNA SOLUTIONS
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case studies

LogDNA Helps Employment Hero Embrace Microservices at Scale

Employment Hero, which was founded in 2014, originally deployed a software stack composed of monolithic applications. It started refactoring those applications to fit a microservices architecture around 2017. At the same time, it made the move toward a Kubernetes-centric environment for hosting its applications.The company’s engineers quickly discovered, however, that the logging and monitoring solution they had in place at the time was not sufficient for managing microservices applications. The platform did not offer an easy way to collect logs within a distributed environment where each service stores logs in a different place, let alone analyze the logs efficiently. Tracing user requests across the logs of multiple services was difficult, and there was no support for live tailing logs to track the latest activity.

As Luong Vo, Platform Engineering Manager atEmployment Hero, explained, “We needed the logging system to be scalable, easy to search, accurate in time, and support live tailing,” and the existing logging solution didn’t do that. At first, Luong and his team experimented with using self-hosted Elasticsearch, Logstash and Kibana—theELK stack—to meet their need for microservices friendly log aggregation and analytics. However, “we found that we were spending too much time scaling Elasticsearch and maintaining the whole stack,” he said, prompting them to search for a more user friendly alternative.

After evaluating other logging platforms, theEmployment Hero team settled on LogDNA.

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Better Mortgage Speeds Kubernetes Troubleshooting with Help from LogDNA

Better Mortgage promises its customers a seamless experience for securing a mortgage. To deliver fully on that promise, the company must ensure that it can quickly identify, troubleshoot, and resolve software performance and security issues that arise within its IT environments.

With the help of LogDNA, Better Mortgage was able to build a software monitoring and analytics stack that delivers the visibility its engineers need to find and fix problems fast. Read the full case study for a look at why Better Mortgage migrated from an open source analytics solution to LogDNA, and how LogDNA helped the company optimize the management of its complex, Kubernetes-based environments.

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LogDNA is the Key to Kubernetes Observability

When you develop security software for containers, Kubernetes, and cloud services, as Sysdig does, you have an especially keen appreciation of what it takes to build an effective observability stack. You are also in a strong position to appreciate the efficiency that comes with modern observability tools that work seamlessly with next-generation platforms, such as Kubernetes. 

Both of these factors contributed to Sysdig’s decision to adopt LogDNA for gaining operational observability into its internal IT infrastructure. We recently spoke to Mark Breitung, a senior member of the DevOps team at Sysdig, about why the company chose LogDNA, and how the solution enables the holistic, contextualized observability that his team needs to keep the Sysdig platform running smoothly.

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Modern Logging for Modern Account Opening

We sat down with James Qualls, a Director of Engineering at MANTL, to hear how LogDNA is empowering the developers on his team to own their monitoring. James is one of two Directors of Engineering at MANTL. He handles Infrastructure, and his counterpart, Eric Gomez, handles Application Architecture. James and his team are responsible for everything underneath the work that Eric’s team stands on top of.

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LogDNA and IBM find synergy in cloud

In 2018 LogDNA partnered with tech giant, IBM, to become the sole logging provider for IBM Cloud. This is the story of how the partnership started. Since then, LogDNA has grown to support thousands of internal IBM teams and enterprises on IBM Cloud and is deployed in eight multi-zone regions across the globe. 

Users have access to two offerings in the cloud catalog. IBM Log Analysis with LogDNA provides detailed insights into all environments by centralizing application, system, and server logs into a single UI. Users can deploy on IBM Cloud in minutes, see their logs instantly in Live Tail, and search using natural language. Intelligent Parsing, real-time Alerts, and custom visualizations help teams stay up to date with the data that’s most valuable to them. 

IBM Cloud Activity Tracker with LogDNA is for anyone using IBM Cloud Services to help them gain insights into actions that change the state of these services. This offering provides real-time Alerts, custom Views, and data visualizations with Boards and Graphs to show a snapshot of Cloud Service activities and help users identify trends over time.

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[https://logdna.com/wp-content/uploads/2019/10/2linecommandfinal.mp4]

Read more
industry

REQUIREMENTS
LOGDNA SOLUTIONS
BUSINESS IMPACT

case studies

LogDNA Helps Employment Hero Embrace Microservices at Scale

Employment Hero, which was founded in 2014, originally deployed a software stack composed of monolithic applications. It started refactoring those applications to fit a microservices architecture around 2017. At the same time, it made the move toward a Kubernetes-centric environment for hosting its applications.The company’s engineers quickly discovered, however, that the logging and monitoring solution they had in place at the time was not sufficient for managing microservices applications. The platform did not offer an easy way to collect logs within a distributed environment where each service stores logs in a different place, let alone analyze the logs efficiently. Tracing user requests across the logs of multiple services was difficult, and there was no support for live tailing logs to track the latest activity.

As Luong Vo, Platform Engineering Manager atEmployment Hero, explained, “We needed the logging system to be scalable, easy to search, accurate in time, and support live tailing,” and the existing logging solution didn’t do that. At first, Luong and his team experimented with using self-hosted Elasticsearch, Logstash and Kibana—theELK stack—to meet their need for microservices friendly log aggregation and analytics. However, “we found that we were spending too much time scaling Elasticsearch and maintaining the whole stack,” he said, prompting them to search for a more user friendly alternative.

After evaluating other logging platforms, theEmployment Hero team settled on LogDNA.

Read more
Better Mortgage Speeds Kubernetes Troubleshooting with Help from LogDNA

Better Mortgage promises its customers a seamless experience for securing a mortgage. To deliver fully on that promise, the company must ensure that it can quickly identify, troubleshoot, and resolve software performance and security issues that arise within its IT environments.

With the help of LogDNA, Better Mortgage was able to build a software monitoring and analytics stack that delivers the visibility its engineers need to find and fix problems fast. Read the full case study for a look at why Better Mortgage migrated from an open source analytics solution to LogDNA, and how LogDNA helped the company optimize the management of its complex, Kubernetes-based environments.

Read more
LogDNA is the Key to Kubernetes Observability

When you develop security software for containers, Kubernetes, and cloud services, as Sysdig does, you have an especially keen appreciation of what it takes to build an effective observability stack. You are also in a strong position to appreciate the efficiency that comes with modern observability tools that work seamlessly with next-generation platforms, such as Kubernetes. 

Both of these factors contributed to Sysdig’s decision to adopt LogDNA for gaining operational observability into its internal IT infrastructure. We recently spoke to Mark Breitung, a senior member of the DevOps team at Sysdig, about why the company chose LogDNA, and how the solution enables the holistic, contextualized observability that his team needs to keep the Sysdig platform running smoothly.

Read more
Modern Logging for Modern Account Opening

We sat down with James Qualls, a Director of Engineering at MANTL, to hear how LogDNA is empowering the developers on his team to own their monitoring. James is one of two Directors of Engineering at MANTL. He handles Infrastructure, and his counterpart, Eric Gomez, handles Application Architecture. James and his team are responsible for everything underneath the work that Eric’s team stands on top of.

Read more
LogDNA and IBM find synergy in cloud

In 2018 LogDNA partnered with tech giant, IBM, to become the sole logging provider for IBM Cloud. This is the story of how the partnership started. Since then, LogDNA has grown to support thousands of internal IBM teams and enterprises on IBM Cloud and is deployed in eight multi-zone regions across the globe. 

Users have access to two offerings in the cloud catalog. IBM Log Analysis with LogDNA provides detailed insights into all environments by centralizing application, system, and server logs into a single UI. Users can deploy on IBM Cloud in minutes, see their logs instantly in Live Tail, and search using natural language. Intelligent Parsing, real-time Alerts, and custom visualizations help teams stay up to date with the data that’s most valuable to them. 

IBM Cloud Activity Tracker with LogDNA is for anyone using IBM Cloud Services to help them gain insights into actions that change the state of these services. This offering provides real-time Alerts, custom Views, and data visualizations with Boards and Graphs to show a snapshot of Cloud Service activities and help users identify trends over time.

Read more

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