Only 38% of IT professionals use containers in production environments, according to a recent survey. ClusterHQ, which ran the survey of the current state of container usage and adoption, also concludes that 73% of respondents are running containers in a VM environment.
At the recent devopsdays Amsterdam 2015, Patrick Roelke contended that monitoring still has lots of issues. Roelke believes that data science can help by eliminating static thresholds and coalescing information from various data sources into a single metric. The talk included a quick overview of monitoring tools that leverage data science: Kale, Bosun and AnomalyDetection.
Metanautix recently announced the newest version of its product, Quest. Quest allows enterprises to build software defined data marts that can run in virtualized servers. Designed from the ground up with security and auditability in mind, Quest can deal with Big Data workloads and encapsulate it into different logical views, ready for consumption by different departments in enterprise.
The demand for IT project managers is increasing. Agile methodologies support collaboration with distributed teams for creative problem solving. The Internet of Things, cloud, big data, and cyber security will continue to dominate the IT landscape. Project managers have to pioneer IOT initiatives, be prepared for the influx of data and ensure that deliverables from their projects are secure.
In order to improve scalability, Parse moved part of their services, including their API, from Ruby on Rails to Go, Charity Majors, Engineer at Parse, recounts. In doing so, both their reliability and deployment times benefited greatly.
Data masking is a necessary, but error prone process. You only need to forget the mask one time to leak sensitive data. SQL Server 2016 attempts to address this with a feature called Dynamic Data Masking.
A common criticism for SQL Server’s security model is that it only understands tables and columns. If you want to apply security rules on a row-by-row basis, you have to simulate it using stored procedures or table value functions, and then find a way to make sure there is no way to bypass them. With SQL Server 2016, that is no longer a problem.
SQL Server 2016 seeks to make encryption easier via its new Always Encrypted feature. This feature offers a way to ensure that the database never sees unencrypted values without the need to rewrite the application.
JVM monitoring vendor Plumbr has added slow query detection to its flagship product. With this addition, Plumbr now detects four types of problems: Memory Leaks, Garbage Collection Inefficiencies, Locked Threads and Expensive JDBC Operations.
SQL Server 2016’s new Temporal Table feature makes it easy to work with data that needs to be versioned.
Twitter has replaced Storm with Heron which provides up to 14 times more throughput and up to 10 times less latency on a word count topology, and helped them reduce the needed hardware to a third.
Apache Parquet, the open-source columnar storage format for Hadoop, recently graduated from the Apache Software Foundation Incubator and became a top-level project. Initially created by Cloudera and Twitter in 2012 to speed up analytical processing, Parquet is now openly available for Apache Spark, Apache Hive, Apache Pig, Impala, native MapReduce, and other key components of the Hadoop ecosystem.
SQL Server 2016’s new stretch database feature promises to offer local server performance for hot data and cloud storage for old data without any change to the application.
In SQL Server 2014 we saw the introduction of Natively Compiled Stored Procedures. In 2016 we’ll be able to do the same for Scalar User Defined Functions.
Capgemini are currently working on Apollo, an open source application platform built on top of the Apache Mesos cluster manager and Docker, which is designed to power next generation web services, microservices and big data platforms running at scale.