What is the best alternative to Visual Studio Code with Log Syntax Highlighting?

Question

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score 85 · Answer 1

ElasticSearch

Top Pro

Structured search queries with JSON

Search can be executed either using a simple, Lucene-based query string or using an extensive JSON-based search query DSL. By structuring the query as a JSON object you can be very explicit and can dictate exactly what ElasticSeach will return. A very basic example of a JSON query is: curl -XGET 'http://localhost:9200/blog/_search?pretty=true' -d ' { "query" : { "range" : { "postDate" : { "from" : "2011-12-10", "to" : "2011-12-12" } } } }' See More

Top Con

Poor documentation

As a relatively new project, the documentation for ElasticSearch still leaves much to be desired. Documentation assumes that the user at least has familiarity with similar document stores, and is largely oriented toward those already familiar with other search solutions, such as Solr. Errors, while often quite simple to resolve, can be difficult to troubleshoot, as they are often insufficiently descriptive and missing from documentation. New users should be sure to check the tutorials section on elasticsearch.org for supplementary information lacking from the guide, such as more detailed installation instructions. See More

Top Pro

Easy to work with

Elasticsearch gained its popularity amongst developers by being enjoyable to use. A simple feature comparison against it's competition doesn't convey the significant advantages of just how easy it is to work with. This is due to multiple design choices such as the use of JSON for the API and queries. See More

Top Con

Prone to 'Split Brain' Situations

The Sematex blog explains a problem with the way Elasticsearch handles its clusters, called the 'Split Brain Situation': Imagine a situation, where you cluster is divided into half, so half of your nodes don’t see the other half, for example because of the network failure. In such cases Elasticsearch will try to elect a new master in the cluster part that doesn’t have one and this will lead to creation of two independent clusters running at the same time. This can be limited with a small degree of configuration, but it can still happen. Users have already run into this problem in production and ElasticSearch host Bonsai also have had issues with this problem as recently as March 2012. See More

Top Pro

RESTful JSON API for configuration/management

Elasticsearch has a REST API for management and configuration. The following are the main features of this API: Index Management: Create, delete, close and open indices by running a simple HTTP command. Increase and decrease the number of replicas without the need of shutting down nodes or creating new nodes. Manipulate shard placement with the cluster reroute API. Move shards between nodes, we can cancel shard allocation process and we can also force shard allocation – everything on a live cluster. Check index and types existence Configuration: Majority of configuration files can be modified dynamically. Update Mappings Define, retrieve and manage warning queries Shut down the entire cluster or a specific node Clear caches on the index level This is all done over JSON, making it a lot more structured then the methods used in Solr. See More

Top Con

Some missing features

Elasticsearch is currently missing the following features: Results Grouping / Field Collapsing Autocomplete Spell Checker/Did you mean (Available as a third-party plugin) Decision Tree Faceting Query Elevation Hash-based deduplication. See More

Top Pro

Open source

It's free and Open Source so you can host it yourself for free or even tweak it. See More

Top Pro

Rapid feature development

Another thing to keep in mind when choosing a search solution is the development momentum. ElasticSearch has quickly caught up to the competition and most of the currently missing features are due to be released in upcoming versions. See More

Top Pro

Aggregations

Another area where ElasticSearch shines is its aggregations features. Similarly to facets (now deprecated), aggregations allow calculating and summarizing data of a query as it happens. Aggregations brings the ability to be nested and is broadly categorized as metrics aggregations and bucket aggregations. "aggregations" : { "<aggregation_name>" : { "<aggregation_type>" : { <aggregation_body> }, ["aggregations" : { [<sub_aggregation>]* } ] } [,"<aggregation_name_2>" : { ... } ]* } See More

Top Pro

Schemaless

Elasticsearch makes it easy to get started by not requiring you to define a schema before sending documents to be indexed. Elasticsearch will automatically guess field types for you, which although will not be as accurate as creating the mappings manually, is usually pretty accurate. Elasticsearch also lets you manually define the mappings (index structure) before creating the index. One cool feature is if you miss a field or add a new field without defining the mapping, Elasticsearch will try to guess the Type for you. See More

Top Pro

Designed to be distributed

The one area where Elasticsearch shines is distributed search. It was built from the ground up to be suitable for high-scale 'cloud' applications. There are many features Elasticsearch has as a result of being designed to be distributed that aren't currently available in Solr, such as: Shards and replicas can to moved to any node in the cluster on demand. With a simple API call you can increase and decrease the number of replicas without the need of shutting down nodes or creating new nodes. Manipulate shard placement with the cluster reroute API on a live cluster. Search across multiple indexes. Change the schema without restarting the server. Automatic shard rebalancing Elasticsearch also has a module called Gateway, that in the case of the whole cluster crashing or being taken down will enable you to easily restore the latest state of the cluster when it gets back up. Services such as Bonsai further simplify scaling Elasticsearch by hosting and scaling the search servers for you, making it nearly as easy to get started as CloudSearch or Searchify. Elasticsearch was also specifically designed to run well and be relatively easy to setup on EC2. See More

Top Pro

Allows multiple types of documents per index

Another useful and unique feature to Elasticsearch is the ability to have multiple types of documents in a single index. You can then facet, query or filter against all document types or a single type. See More

Top Pro

Percolator (prospective search)

Essentially a reverse search. The percolator allows you to register queries against an index, and then send percolate requests which include a doc, and getting back the queries that match on that doc out of the set of registered queries. Not possible in Solr out of the box. See More

Top Pro

Handles nested documents

ElasticSearch natively handles a nested document structure. ElasticSearch will index nested documents as a separate indexes and are stored in such a way that allow quick join operations to access them. Nested documents require a nested query to access so that don't clutter results from standard queries. See More

Top Pro

Pluggable Field Types

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score 1 · Answer 2

Log fusion

Top Pro

Filtering

Filter and hide lines that are not of interest. See More

Top Pro

Row highlighting

Can match strings and regular expressions. See More

Top Pro

Auto scroll

Support for streaming log files See More

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score 83 · Answer 3

Logentries

Top Pro

Real-time alerts

Alerts can be created based on tags or by setting criteria via the intuitive and powerful search capabilities of LogEntries. To not flood notifications it's possible to specify limitations for alerts, such as how many times an hour an event has to happen for it to trigger a notification. Notifications can be sent by email, mobile messaging or via webhooks (webhooks are sent server in real-time, so there's no need for polling for changes). See More

Top Con

Confusing interface

The interface is packed with features and options, many of them I'm not sure what they do at all. See More

Top Pro

Supports a diverse set of programming languages

Including Java, .Net, Ruby, PHP, node.js, Python. See More

Top Con

Character limit for each log entry

Currently log entries are limited to 8192 characters, if your log entry runs over this amount then it will be truncated where the excess log will be a new entry in the UI. This can easily cause a problem JSON structure with java stacktraces. See More

Top Pro

Free up to 5 GB

Logentries free product allows uploading up to 5 GB of logs a month and has a 7-day retention period. The free product is available after the 30-day trial ends. See More

Top Con

Limited search capabilites

Compared to Elasticsearch and other competitors, search syntax has few features, apart from regexp and NOT/AND/OR combining. E.g. has no syntax to determine if a field is absent. See More

Top Pro

Works with multiple PaaS and IaaS

Logentries works with Amazon Web Services (AWS), Heroku, AppFog, Engine Yard and other platform as a service (PaaS) providers, along with Amazon Web Services, Rackspace, Microsoft Azure and other infrastructure as a service (IaaS) providers. See More

Top Con

Expensive

The average plan is over $1.5 per GB, which can get very expensive for any sort of reasonable volume. See More

Top Pro

Event and search updates can be viewed in real-time

In Live Tail mode events and searches update in real-time. Live Tail mode can be used in Aggregate View, that allows selecting a combination of logfiles to be viewed together, and with any log groups created. These events are supplemented with tags to allows getting an overview of current events quickly at a glance. See More

Top Con

Short retention

The retention is very short (14 - 30 days). See More

Top Pro

Supports the most popular programming frameworks

Supports the most popular programming frameworks, including Ruby and node.js. See More

Top Con

There's a limit of 100 logs per server

Should you have a webserver that hosts many sites, you'll hit this undocumented limit. The token-based alternative solution is inconvenient to set up and maintain. See More

Top Pro

Offers an easy way of visualizing data via graphs

LogEntries allows each logfile to have a separate dashboard of various graphs & widgets put together for visualizing data. A dashboard is put together by dragging & dropping graphs and widgets into place. Graphs and widgets include charts, tables, gauges, event counts among other forms of data visualization. See More

Top Con

Can't track the source of errors in 3rd party libraries

Top Pro

Real-time tagging makes reading logs easier

Colored indicators can be set that highlight events in a log in real-time based on given criteria. Criteria are set via intuitive and powerful search capabilities of LogEntries. See More

Top Con

Insufficiently secure web client logger

No progress since this was reported in September 2013. See More

Top Pro

Easy to set up

Logentries can be set up quickly and with relative ease. See More

Top Con

Grouping is unsorted and limited

Eg. you can't really check what browsers people use, because the report is limited to 40 unique strings. See More

Top Pro

Great search

LogEntries has human readable, intuitive and powerful search with support for logical expressions, comparison expressions, regular expressions and ability to search based on field, group based on approximations over time, use functions such as count, sum, average and unique as well as save searches. See More

Top Con

Blocked by ad blockers by default

https://easylist-downloads.adblockplus.org/easyprivacy.txt includes logentries See More

Top Pro

Timestamps are displayed in the local time zone

Unlike Loggly, LogEntries displays timestamps in your timezone. You don't even have to configure anything. See More

Top Con

No specialized reporting for JavaScript

No stack trace, or XHR recording. Compare with UserSnap or Rollbar or TrackJS. See More

Top Pro

Excellent documentation

LogEntries has comprehensive documentation that's easy to read and understand and includes lots of screenshots and examples. See More

Top Con

Signing up requires phone number

Top Pro

Good technical support

Answer incidents pretty quickly. See More

Top Con

No CDN for the web client logger

Top Pro

Prepared viewlets

Easy to get information fast with integrated dashboards. Also I can change as I want easy by rewriting query See More

Top Con

TypeErrors (X is not a function) are not tracked

Loggly catches them by default. LogEntries doesn't seem to catch them even if catchall is set to true. See the GitHub issue. See More

Specs

Type:aggregation & monitoring

Hosting options:Cloud hosted

Supported languages:Android / GoLang / JavaScript/HTML5 / iOS / Java / .NET / .NET Serilog / PHP Logging / Python

Integrations:AppEngine / AppFog / AppHarbor / Azure / Cisco / Cloud 66 / CloudBees / CloudControl / Engine Yard / Heroku / Jelastic / Joyent / Nodejitsu / OpenShift / Fastly / AWS (S3 / Archiving / CloudWatch) / DataHub / CloudTrail

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score 23 · Answer 4

Graylog2

Top Pro

Free and open source

Graylog2 is licensed under GNU GPL v3. See More

Top Con

Limited logging protocols support

Graylog2 only has support for syslog and GELF. See More

Top Pro

Easy setup

Graylog2 can be quickly installed on any Linux machine running Java 7 via an executable that allows installing and configuring remote dependencies and graylog2 itself via a web interface. See More

Top Con

Self hosted. Difficult to maintain.

Maintenance is very difficult because of the high volume nature of logs. See More

Top Pro

Real-time

Information and statistics displayed update in real time. See More

Top Con

Slow

Takes multiple servers even for smaller deployments See More

Top Pro

Great interface

Easy to overview, intuitive and full of explainers. See More

Top Con

Interface is hard to use

The interface is hard to use, loaded with data, and difficult to understand. See More

Top Pro

Little maintenance

Top Pro

Streams allow identifying events in real-time and perform actions

Stream allow filtering events in real time and perform action such as issue alerts or forward messages. See More

Top Pro

Server-side functionality can be extended via plug-ins

Top Pro

Works well with just about any type of logging

Specs

Type:Aggregation & Monitoring

Supported languages:Any

Integrations:AWS CloudTrail / HipChat / PagerDuty / Slack

Supported input methods:Any

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