Initial situation<\/strong><\/h3>\nLARS Server<\/a> allows the collection and processing of data from a variety of tools. This leads to a wide range of options for monitoring of systems and applications as well as for analyzing logfiles in case of errors. <\/p>\n<\/ul>\nNew technologies bring along new challenges<\/strong><\/span><\/span><\/span><\/span><\/h3>\nWith the spreading of cloud technologies<\/a> <\/span>come new challenges in the collection as well as the centralized evaluation of log and metric data. A big amount of containers get started automatically in different data centers, which makes a centralized platform for monitoring and analysis indispensable.<\/p>\n<\/span>Support for standard tools and protocols<\/span><\/h3>\n<\/span>For some time, tools to collect log and metric data like Fluentd or metricbeat have become industry standards. Data from these collectors can be integrated without much configuration effort using the interfaces provided by LARS server.<\/span><\/p>\nFluentd and Fluent Bit for log collection<\/span> <\/span><\/span><\/h3>\n<\/span><\/span><\/p>\n![\"Logo](\"https:\/\/nextstride.com\/en\/wp-content\/uploads\/sites\/7\/2022\/06\/fluentd-horizontal-color-300x107.png\")
Logo fluentd<\/p><\/div>\n
Fluentd (https:\/\/www.fluentd.org\/) and Fluent Bit (<\/span>https:\/\/fluentbit.io\/<\/span><\/a>) are widely used tools for collecting log data. They are resource-efficient and flexibly configurable, allowing them to not only be used within a container, but also as a Sidecar Container (<\/span>https:\/\/docs.microsoft.com\/en-us\/azure\/architecture\/patterns\/sidecar<\/span><\/a>). Read logs in JSON format can be sent to LARS server for processing with help of the integrated HTTPS forwarding plugin.
<\/span><\/p>\nLumberjack protocol for receiving data from Elastic Beats and Logstash<\/h3>\n![\"Logo](\"https:\/\/nextstride.com\/en\/wp-content\/uploads\/sites\/7\/2022\/06\/logstashlogo-300x87.png\")
Logo logstash<\/p><\/div>\n
<\/span>LARS server supports receiving data in the Lumberjack format, which enables an easy connection of clients to Elastic Beats and Logstash. The collectors from the Elastic Beats family are able to collect system key figures (CPU, memory or disk usage, network throughput and much more) in addition to logs. They can also periodically check the availability of application services.
These additional metrics can be combined with logs in server-side reports to provide better insights into the monitored applicantions‘ runtime behavior.<\/span><\/p>\nLARS client for complex requirements<\/span><\/h3>\n<\/span>If a certain use case can not be covered using standard tools, LARS client comes into play. With plugins specially tailored to customer needs, even complex problems can be solved.
Clients that have subscribed to a LARS server can be centrally configured and updated which allows for an adaptation to changing requirements in no time.
<\/span><\/p>\nPerformance and security<\/h3>\n
Because the communication between single containers and with the logging solutions happens via network, security is crucial. LARS server endpoints allow for secure transmission of data through standard protocols such as TLS or SSH and also support receiving compressed data, which minimizes the load on the network.<\/span><\/p>\n[\/et_pb_text][et_pb_text _builder_version=“4.18.0″ _module_preset=“default“ hover_enabled=“0″ global_colors_info=“{}“ theme_builder_area=“post_content“ sticky_enabled=“0″]<\/p>\n
Overview NextStride LARS<\/h3>\n
[\/et_pb_text][et_pb_image src=“https:\/\/nextstride.com\/en\/wp-content\/uploads\/sites\/7\/2022\/06\/overview-no-coba-2286×1262-1.jpg“ alt=“\u00dcbersicht NextStride LARS“ title_text=“\u00dcbersicht NextStride LARS“ _builder_version=“4.17.4″ _module_preset=“default“ global_colors_info=“{}“ theme_builder_area=“post_content“][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"
Receiving data in NextStride LARS Receiving data in NextStride LARS Initial situation LARS Server allows the collection and processing of data from a variety of tools. This leads to a wide range of options for monitoring of systems and applications as well as for analyzing logfiles in case of errors. New technologies bring along new […]<\/p>\n","protected":false},"author":9,"featured_media":2234,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[17],"tags":[],"class_list":["post-2192","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technischer-blog"],"yoast_head":"\n
Lars Endpoints - Software made in Switzerland<\/title>\n<meta name=\"description\" content=\"Durch die F\u00e4higkeit, beliebige Daten einer Vielzahl an Tools zu empfangen und zu sammeln, ergeben sich vielf\u00e4ltige neue M\u00f6glichkeiten.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/nextstride.com\/en\/blog\/2022\/06\/02\/lars-endpoints\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lars Endpoints - Software made in Switzerland\" \/>\n<meta property=\"og:description\" content=\"Durch die F\u00e4higkeit, beliebige Daten einer Vielzahl an Tools zu empfangen und zu sammeln, ergeben sich vielf\u00e4ltige neue M\u00f6glichkeiten.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/nextstride.com\/en\/blog\/2022\/06\/02\/lars-endpoints\/\" \/>\n<meta property=\"og:site_name\" content=\"Software made in Switzerland\" \/>\n<meta property=\"article:published_time\" content=\"2022-06-02T13:38:16+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-08-24T11:54:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/nextstride.com\/en\/wp-content\/uploads\/sites\/7\/2022\/06\/PostSebastian_3.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Sebastian H\u00fcgli\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Verfasst von\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sebastian H\u00fcgli\" \/>\n\t<meta name=\"twitter:label2\" content=\"Gesch\u00e4tzte Lesezeit\" \/>\n\t<meta name=\"twitter:data2\" content=\"3\u00a0Minuten\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/\"},\"author\":{\"name\":\"Sebastian H\u00fcgli\",\"@id\":\"https:\\\/\\\/nextstride.com\\\/en\\\/#\\\/schema\\\/person\\\/7bcc9e588d9e167246bd4c2ccc6cb999\"},\"headline\":\"Lars Endpoints\",\"datePublished\":\"2022-06-02T13:38:16+00:00\",\"dateModified\":\"2022-08-24T11:54:56+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/\"},\"wordCount\":590,\"commentCount\":0,\"image\":{\"@id\":\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/nextstride.com\\\/en\\\/wp-content\\\/uploads\\\/sites\\\/7\\\/2022\\\/06\\\/PostSebastian_3.jpg\",\"articleSection\":[\"Technischer Blog\"],\"inLanguage\":\"de\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/\",\"url\":\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/\",\"name\":\"Lars Endpoints - 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- <\/ul>\n
New technologies bring along new challenges<\/strong><\/span><\/span><\/span><\/span><\/h3>\nWith the spreading of cloud technologies<\/a> <\/span>come new challenges in the collection as well as the centralized evaluation of log and metric data. A big amount of containers get started automatically in different data centers, which makes a centralized platform for monitoring and analysis indispensable.<\/p>\n<\/span>Support for standard tools and protocols<\/span><\/h3>\n<\/span>For some time, tools to collect log and metric data like Fluentd or metricbeat have become industry standards. Data from these collectors can be integrated without much configuration effort using the interfaces provided by LARS server.<\/span><\/p>\nFluentd and Fluent Bit for log collection<\/span> <\/span><\/span><\/h3>\n<\/span><\/span><\/p>\nLogo fluentd<\/p><\/div>\n
Fluentd (https:\/\/www.fluentd.org\/) and Fluent Bit (<\/span>https:\/\/fluentbit.io\/<\/span><\/a>) are widely used tools for collecting log data. They are resource-efficient and flexibly configurable, allowing them to not only be used within a container, but also as a Sidecar Container (<\/span>https:\/\/docs.microsoft.com\/en-us\/azure\/architecture\/patterns\/sidecar<\/span><\/a>). Read logs in JSON format can be sent to LARS server for processing with help of the integrated HTTPS forwarding plugin.
<\/span><\/p>\nLumberjack protocol for receiving data from Elastic Beats and Logstash<\/h3>\nLogo logstash<\/p><\/div>\n
<\/span>LARS server supports receiving data in the Lumberjack format, which enables an easy connection of clients to Elastic Beats and Logstash. The collectors from the Elastic Beats family are able to collect system key figures (CPU, memory or disk usage, network throughput and much more) in addition to logs. They can also periodically check the availability of application services.
These additional metrics can be combined with logs in server-side reports to provide better insights into the monitored applicantions‘ runtime behavior.<\/span><\/p>\nLARS client for complex requirements<\/span><\/h3>\n<\/span>If a certain use case can not be covered using standard tools, LARS client comes into play. With plugins specially tailored to customer needs, even complex problems can be solved.
Clients that have subscribed to a LARS server can be centrally configured and updated which allows for an adaptation to changing requirements in no time.
<\/span><\/p>\nPerformance and security<\/h3>\n
Because the communication between single containers and with the logging solutions happens via network, security is crucial. LARS server endpoints allow for secure transmission of data through standard protocols such as TLS or SSH and also support receiving compressed data, which minimizes the load on the network.<\/span><\/p>\n[\/et_pb_text][et_pb_text _builder_version=“4.18.0″ _module_preset=“default“ hover_enabled=“0″ global_colors_info=“{}“ theme_builder_area=“post_content“ sticky_enabled=“0″]<\/p>\n
Overview NextStride LARS<\/h3>\n
[\/et_pb_text][et_pb_image src=“https:\/\/nextstride.com\/en\/wp-content\/uploads\/sites\/7\/2022\/06\/overview-no-coba-2286×1262-1.jpg“ alt=“\u00dcbersicht NextStride LARS“ title_text=“\u00dcbersicht NextStride LARS“ _builder_version=“4.17.4″ _module_preset=“default“ global_colors_info=“{}“ theme_builder_area=“post_content“][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"
Receiving data in NextStride LARS Receiving data in NextStride LARS Initial situation LARS Server allows the collection and processing of data from a variety of tools. This leads to a wide range of options for monitoring of systems and applications as well as for analyzing logfiles in case of errors. New technologies bring along new […]<\/p>\n","protected":false},"author":9,"featured_media":2234,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[17],"tags":[],"class_list":["post-2192","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technischer-blog"],"yoast_head":"\n
Lars Endpoints - Software made in Switzerland<\/title>\n<meta name=\"description\" content=\"Durch die F\u00e4higkeit, beliebige Daten einer Vielzahl an Tools zu empfangen und zu sammeln, ergeben sich vielf\u00e4ltige neue M\u00f6glichkeiten.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/nextstride.com\/en\/blog\/2022\/06\/02\/lars-endpoints\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lars Endpoints - Software made in Switzerland\" \/>\n<meta property=\"og:description\" content=\"Durch die F\u00e4higkeit, beliebige Daten einer Vielzahl an Tools zu empfangen und zu sammeln, ergeben sich vielf\u00e4ltige neue M\u00f6glichkeiten.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/nextstride.com\/en\/blog\/2022\/06\/02\/lars-endpoints\/\" \/>\n<meta property=\"og:site_name\" content=\"Software made in Switzerland\" \/>\n<meta property=\"article:published_time\" content=\"2022-06-02T13:38:16+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-08-24T11:54:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/nextstride.com\/en\/wp-content\/uploads\/sites\/7\/2022\/06\/PostSebastian_3.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Sebastian H\u00fcgli\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Verfasst von\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sebastian H\u00fcgli\" \/>\n\t<meta name=\"twitter:label2\" content=\"Gesch\u00e4tzte Lesezeit\" \/>\n\t<meta name=\"twitter:data2\" content=\"3\u00a0Minuten\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/\"},\"author\":{\"name\":\"Sebastian H\u00fcgli\",\"@id\":\"https:\\\/\\\/nextstride.com\\\/en\\\/#\\\/schema\\\/person\\\/7bcc9e588d9e167246bd4c2ccc6cb999\"},\"headline\":\"Lars Endpoints\",\"datePublished\":\"2022-06-02T13:38:16+00:00\",\"dateModified\":\"2022-08-24T11:54:56+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/\"},\"wordCount\":590,\"commentCount\":0,\"image\":{\"@id\":\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/nextstride.com\\\/en\\\/wp-content\\\/uploads\\\/sites\\\/7\\\/2022\\\/06\\\/PostSebastian_3.jpg\",\"articleSection\":[\"Technischer Blog\"],\"inLanguage\":\"de\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/\",\"url\":\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/\",\"name\":\"Lars Endpoints - 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<\/span>Support for standard tools and protocols<\/span><\/h3>\n<\/span>For some time, tools to collect log and metric data like Fluentd or metricbeat have become industry standards. Data from these collectors can be integrated without much configuration effort using the interfaces provided by LARS server.<\/span><\/p>\nFluentd and Fluent Bit for log collection<\/span> <\/span><\/span><\/h3>\n<\/span><\/span><\/p>\nLogo fluentd<\/p><\/div>\n
Fluentd (https:\/\/www.fluentd.org\/) and Fluent Bit (<\/span>https:\/\/fluentbit.io\/<\/span><\/a>) are widely used tools for collecting log data. They are resource-efficient and flexibly configurable, allowing them to not only be used within a container, but also as a Sidecar Container (<\/span>https:\/\/docs.microsoft.com\/en-us\/azure\/architecture\/patterns\/sidecar<\/span><\/a>). Read logs in JSON format can be sent to LARS server for processing with help of the integrated HTTPS forwarding plugin.
<\/span><\/p>\nLumberjack protocol for receiving data from Elastic Beats and Logstash<\/h3>\nLogo logstash<\/p><\/div>\n
<\/span>LARS server supports receiving data in the Lumberjack format, which enables an easy connection of clients to Elastic Beats and Logstash. The collectors from the Elastic Beats family are able to collect system key figures (CPU, memory or disk usage, network throughput and much more) in addition to logs. They can also periodically check the availability of application services.
These additional metrics can be combined with logs in server-side reports to provide better insights into the monitored applicantions‘ runtime behavior.<\/span><\/p>\nLARS client for complex requirements<\/span><\/h3>\n<\/span>If a certain use case can not be covered using standard tools, LARS client comes into play. With plugins specially tailored to customer needs, even complex problems can be solved.
Clients that have subscribed to a LARS server can be centrally configured and updated which allows for an adaptation to changing requirements in no time.
<\/span><\/p>\nPerformance and security<\/h3>\n
Because the communication between single containers and with the logging solutions happens via network, security is crucial. LARS server endpoints allow for secure transmission of data through standard protocols such as TLS or SSH and also support receiving compressed data, which minimizes the load on the network.<\/span><\/p>\n[\/et_pb_text][et_pb_text _builder_version=“4.18.0″ _module_preset=“default“ hover_enabled=“0″ global_colors_info=“{}“ theme_builder_area=“post_content“ sticky_enabled=“0″]<\/p>\n
Overview NextStride LARS<\/h3>\n
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Receiving data in NextStride LARS Receiving data in NextStride LARS Initial situation LARS Server allows the collection and processing of data from a variety of tools. This leads to a wide range of options for monitoring of systems and applications as well as for analyzing logfiles in case of errors. New technologies bring along new […]<\/p>\n","protected":false},"author":9,"featured_media":2234,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[17],"tags":[],"class_list":["post-2192","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technischer-blog"],"yoast_head":"\n
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Fluentd and Fluent Bit for log collection<\/span> <\/span><\/span><\/h3>\n<\/span><\/span><\/p>\nLogo fluentd<\/p><\/div>\n
Fluentd (https:\/\/www.fluentd.org\/) and Fluent Bit (<\/span>https:\/\/fluentbit.io\/<\/span><\/a>) are widely used tools for collecting log data. They are resource-efficient and flexibly configurable, allowing them to not only be used within a container, but also as a Sidecar Container (<\/span>https:\/\/docs.microsoft.com\/en-us\/azure\/architecture\/patterns\/sidecar<\/span><\/a>). Read logs in JSON format can be sent to LARS server for processing with help of the integrated HTTPS forwarding plugin.
<\/span><\/p>\nLumberjack protocol for receiving data from Elastic Beats and Logstash<\/h3>\nLogo logstash<\/p><\/div>\n
<\/span>LARS server supports receiving data in the Lumberjack format, which enables an easy connection of clients to Elastic Beats and Logstash. The collectors from the Elastic Beats family are able to collect system key figures (CPU, memory or disk usage, network throughput and much more) in addition to logs. They can also periodically check the availability of application services.
These additional metrics can be combined with logs in server-side reports to provide better insights into the monitored applicantions‘ runtime behavior.<\/span><\/p>\nLARS client for complex requirements<\/span><\/h3>\n<\/span>If a certain use case can not be covered using standard tools, LARS client comes into play. With plugins specially tailored to customer needs, even complex problems can be solved.
Clients that have subscribed to a LARS server can be centrally configured and updated which allows for an adaptation to changing requirements in no time.
<\/span><\/p>\nPerformance and security<\/h3>\n
Because the communication between single containers and with the logging solutions happens via network, security is crucial. LARS server endpoints allow for secure transmission of data through standard protocols such as TLS or SSH and also support receiving compressed data, which minimizes the load on the network.<\/span><\/p>\n[\/et_pb_text][et_pb_text _builder_version=“4.18.0″ _module_preset=“default“ hover_enabled=“0″ global_colors_info=“{}“ theme_builder_area=“post_content“ sticky_enabled=“0″]<\/p>\n
Overview NextStride LARS<\/h3>\n
[\/et_pb_text][et_pb_image src=“https:\/\/nextstride.com\/en\/wp-content\/uploads\/sites\/7\/2022\/06\/overview-no-coba-2286×1262-1.jpg“ alt=“\u00dcbersicht NextStride LARS“ title_text=“\u00dcbersicht NextStride LARS“ _builder_version=“4.17.4″ _module_preset=“default“ global_colors_info=“{}“ theme_builder_area=“post_content“][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"
Receiving data in NextStride LARS Receiving data in NextStride LARS Initial situation LARS Server allows the collection and processing of data from a variety of tools. This leads to a wide range of options for monitoring of systems and applications as well as for analyzing logfiles in case of errors. New technologies bring along new […]<\/p>\n","protected":false},"author":9,"featured_media":2234,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[17],"tags":[],"class_list":["post-2192","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technischer-blog"],"yoast_head":"\n
Lars Endpoints - Software made in Switzerland<\/title>\n<meta name=\"description\" content=\"Durch die F\u00e4higkeit, beliebige Daten einer Vielzahl an Tools zu empfangen und zu sammeln, ergeben sich vielf\u00e4ltige neue M\u00f6glichkeiten.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/nextstride.com\/en\/blog\/2022\/06\/02\/lars-endpoints\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lars Endpoints - Software made in Switzerland\" \/>\n<meta property=\"og:description\" content=\"Durch die F\u00e4higkeit, beliebige Daten einer Vielzahl an Tools zu empfangen und zu sammeln, ergeben sich vielf\u00e4ltige neue M\u00f6glichkeiten.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/nextstride.com\/en\/blog\/2022\/06\/02\/lars-endpoints\/\" \/>\n<meta property=\"og:site_name\" content=\"Software made in Switzerland\" \/>\n<meta property=\"article:published_time\" content=\"2022-06-02T13:38:16+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-08-24T11:54:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/nextstride.com\/en\/wp-content\/uploads\/sites\/7\/2022\/06\/PostSebastian_3.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Sebastian H\u00fcgli\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Verfasst von\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sebastian H\u00fcgli\" \/>\n\t<meta name=\"twitter:label2\" content=\"Gesch\u00e4tzte Lesezeit\" \/>\n\t<meta name=\"twitter:data2\" content=\"3\u00a0Minuten\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/\"},\"author\":{\"name\":\"Sebastian H\u00fcgli\",\"@id\":\"https:\\\/\\\/nextstride.com\\\/en\\\/#\\\/schema\\\/person\\\/7bcc9e588d9e167246bd4c2ccc6cb999\"},\"headline\":\"Lars Endpoints\",\"datePublished\":\"2022-06-02T13:38:16+00:00\",\"dateModified\":\"2022-08-24T11:54:56+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/\"},\"wordCount\":590,\"commentCount\":0,\"image\":{\"@id\":\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/nextstride.com\\\/en\\\/wp-content\\\/uploads\\\/sites\\\/7\\\/2022\\\/06\\\/PostSebastian_3.jpg\",\"articleSection\":[\"Technischer Blog\"],\"inLanguage\":\"de\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/\",\"url\":\"https:\\\/\\\/nextstride.com\\\/en\\\/blog\\\/2022\\\/06\\\/02\\\/lars-endpoints\\\/\",\"name\":\"Lars Endpoints - 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Logo fluentd<\/p><\/div>\n
Fluentd (https:\/\/www.fluentd.org\/) and Fluent Bit (<\/span>https:\/\/fluentbit.io\/<\/span><\/a>) are widely used tools for collecting log data. They are resource-efficient and flexibly configurable, allowing them to not only be used within a container, but also as a Sidecar Container (<\/span>https:\/\/docs.microsoft.com\/en-us\/azure\/architecture\/patterns\/sidecar<\/span><\/a>). Read logs in JSON format can be sent to LARS server for processing with help of the integrated HTTPS forwarding plugin. Logo logstash<\/p><\/div>\n <\/span>LARS server supports receiving data in the Lumberjack format, which enables an easy connection of clients to Elastic Beats and Logstash. The collectors from the Elastic Beats family are able to collect system key figures (CPU, memory or disk usage, network throughput and much more) in addition to logs. They can also periodically check the availability of application services. <\/span>If a certain use case can not be covered using standard tools, LARS client comes into play. With plugins specially tailored to customer needs, even complex problems can be solved. Because the communication between single containers and with the logging solutions happens via network, security is crucial. LARS server endpoints allow for secure transmission of data through standard protocols such as TLS or SSH and also support receiving compressed data, which minimizes the load on the network.<\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=“4.18.0″ _module_preset=“default“ hover_enabled=“0″ global_colors_info=“{}“ theme_builder_area=“post_content“ sticky_enabled=“0″]<\/p>\n [\/et_pb_text][et_pb_image src=“https:\/\/nextstride.com\/en\/wp-content\/uploads\/sites\/7\/2022\/06\/overview-no-coba-2286×1262-1.jpg“ alt=“\u00dcbersicht NextStride LARS“ title_text=“\u00dcbersicht NextStride LARS“ _builder_version=“4.17.4″ _module_preset=“default“ global_colors_info=“{}“ theme_builder_area=“post_content“][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Receiving data in NextStride LARS Receiving data in NextStride LARS Initial situation LARS Server allows the collection and processing of data from a variety of tools. This leads to a wide range of options for monitoring of systems and applications as well as for analyzing logfiles in case of errors. New technologies bring along new […]<\/p>\n","protected":false},"author":9,"featured_media":2234,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[17],"tags":[],"class_list":["post-2192","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technischer-blog"],"yoast_head":"\n
<\/span><\/p>\nLumberjack protocol for receiving data from Elastic Beats and Logstash<\/h3>\n
These additional metrics can be combined with logs in server-side reports to provide better insights into the monitored applicantions‘ runtime behavior.<\/span><\/p>\nLARS client for complex requirements<\/span><\/h3>\n
Clients that have subscribed to a LARS server can be centrally configured and updated which allows for an adaptation to changing requirements in no time.
<\/span><\/p>\nPerformance and security<\/h3>\n
Overview NextStride LARS<\/h3>\n