Best DevOps Software for Hackolade

Elastic is a search company. Elasticsearch, Kibana Beats, Logstash, and Elasticsearch are the founders of the ElasticStack. These SaaS offerings allow data to be used in real-time and at scale for analytics, security, search, logging, security, and search. Elastic has over 100,000 members in 45 countries. Elastic's products have been downloaded more than 400 million times since their initial release. Today, thousands of organizations including Cisco, eBay and Dell, Goldman Sachs and Groupon, HP and Microsoft, as well as Netflix, Uber, Verizon and Yelp use Elastic Stack and Elastic Cloud to power mission critical systems that generate new revenue opportunities and huge cost savings. Elastic is headquartered in Amsterdam, The Netherlands and Mountain View, California. It has more than 1,000 employees in over 35 countries.

A set of modern DevOps services will help you plan smarter, collaborate better and ship faster. You can use all DevOps services, or select the ones that best fit your existing workflows. Use proven agile tools to help you plan, track, and communicate with your teams. CI/CD works with any language, platform or cloud and allows you to build, test, deploy, and monitor your code. Connect to GitHub and other Git providers to deploy continuously. Unlimited, cloud-hosted private Git repos are available. Collaborate to build better code using pull requests and advanced file administration. Use exploratory and manual testing tools to test and ship with confidence. With just one click, you can create, host, and distribute packages with your team. You can also add artifacts into your CI/CD pipelines. You can access extensions from Slack and SonarCloud to over 1,000 apps and services that were built by the community.

GitLab is a complete DevOps platform. GitLab gives you a complete CI/CD toolchain right out of the box. One interface. One conversation. One permission model. GitLab is a complete DevOps platform, delivered in one application. It fundamentally changes the way Security, Development, and Ops teams collaborate. GitLab reduces development time and costs, reduces application vulnerabilities, and speeds up software delivery. It also increases developer productivity. Source code management allows for collaboration, sharing, and coordination across the entire software development team. To accelerate software delivery, track and merge branches, audit changes, and enable concurrent work. Code can be reviewed, discussed, shared knowledge, and identified defects among distributed teams through asynchronous review. Automate, track, and report code reviews.

Bitbucket goes beyond Git code management. Bitbucket is a place for teams to plan projects, collaborate on code and test, and then deploy. For small teams of less than 5, Bitbucket is free. Premium plans ($6/user/mo), and Standard ($3/user/mo), are available at scale. You can organize your projects by creating Bitbucket branches from Jira issues and Trello cards. Integrated CI/CD allows you to build, test, and deploy. Configuration as code allows for fast feedback loops and benefits. Pull requests make it easier to approve code reviews. With inline comments, create a merge list with the designated approvers. Bitbucket Pipelines with CI/CD lets you build, test, and deploy with integrated CI/CD. You can benefit from configuration as code and quick feedback loops. With IP whitelisting, 2-step verification and IP whitelisting, you can be sure that your code is safe in the Cloud. You can restrict access to certain users and control their actions by granting branch permissions and merging checks to quality code.

Apache Avro™, a data serialization software, is available. Avro offers rich data structures, a compact and fast binary data format, a container, to store persistent information, remote procedure calls (RPC), and more. It also allows for easy integration with dynamic languages. It is not necessary to generate code to read and write data files or to implement RPC protocols. Only statically typed languages can use code generation. Schemas are essential for Avro. The schema used to write Avro data is always available when Avro data are read. This allows each datum to be written quickly and without any per-value overheads. This allows for dynamic, scripting languages to be used. Data, along with its schema, are fully self-describing. If Avro data is saved in a file, the schema is also stored with it. This allows programs to later process files. This can be resolved if the program reading the data expects something different.