Flux7 DevOps Blog

IT Modernization and DevOps News in Review

Apr 1, 2019 2:21:37 PM Flux7 Labs AWS Services, Kubernetes, AWS Data Lake

IT Modernization DevOps News 
Amazon was busy at its #AWSSummit in Santa Clara last week, announcing several new service offerings (or the general availability of solutions previously announced), including Deep Learning Containers, Concurrency Scaling for Amazon Redshift, Amazon S3 Glacier Deep Archive, AWS App Mesh, and AMD-powered Amazon EC2 M5ad and R5ad instances.


Wearing a t-shirt that read, “Encrypt Everything”, Werner Vogels emphasized in his keynote at the Summit that security is foundational and everyone's job. A key takeaway from the event was that modern tools are required to ensure security with Vogels quipping that, “If firewalls were the right security solution, we would still have moats around our cities. We don’t.”

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AWS News

  • AWS Deep Learning Containers are Docker images ready to use for deep learning training or inferencing using TensorFlow or Apache MXNet, with other frameworks to follow.

  • Concurrency Scaling for Amazon Redshift now allows operators to configure Redshift to add more query processing power on an as-needed basis. According to the announcement, this happens transparently and in a manner of seconds, and provides you with fast, consistent performance even as the workload grows to hundreds of concurrent queries. Additional processing power is ready in seconds and does not need to be pre-warmed or pre-provisioned.

  • Amazon S3 Storage Class, Glacier Deep Archive is a new and cost-effective way to store data that while important is accessed infrequently. Now GA, Glacier Deep Archive storage class is designed to provide durable and secure long-term storage for large amounts of data at a price that is competitive with off-premises tape archival services.

  • AWS App Mesh, first announced at re:Invent, allows operators to monitor and control communications across microservices applications on AWS. Last week, Vogels highlighted AWS App Mesh as giving operators a complete view of the network, monitoring communications across AWS Fargate, Amazon EC2, Amazon ECS, Amazon Elastic Container Service for Kubernetes, or Kubernetes.

  • Amazon added M5ad and R5ad instances, both powered by custom AMD EPYC 7000 series processors and built on the AWS Nitro System to its portfolio. It reports that the instances add high-speed, low latency local block storage to the M5a and R5a instances it previously launched.

  • Amazon introduced this week Advanced Request Routing for AWS Application Load Balancers. Our AWS consulting team was excited about this new release as it extends and generalizes the host-based routing feature giving operators the ability to write rules (and route traffic) based on standard and custom HTTP headers and methods, the query string, and the source IP address. According to AWS, rules can now have multiple conditions (AND’ed together), and each condition can specify a match on multiple values (OR’ed).

  • Our DevOps consulting team enjoyed this interesting blog, The #AWS EC2 Windows Secret Sauce in which TechnoDrone shares how AWS provisions Windows EC2 in the cloud.

DevOps News

  • Kubernetes announced the delivery of Kubernetes 1.14. It includes 31 enhancements including https://blog.flux7.com/living-in-a-microservice-world-why-kubernetes-security-mattersWindows support and storage support now includes support for persistent local volumes. According to the announcement, the main themes of the release are extensibility and supporting more workloads on Kubernetes.

  • GitLab released a new version of its tool: GitLab 11.9. Featuring secret detection and multiple MR approval rules, it helps protect against unauthorized sources obtaining your secrets -- like passwords or API keys. Now, each commit is scanned by a CI/CD job to ensure it doesn’t contain secrets. If a secret is detected, the developer is notified in the merge request, thus allowing them to quickly to void any leaked credentials and create new ones.

Flux7 News

  • Read our latest AWS case study, an AWS Data Lake Solution: Addresses Rapid Data Expansion & Complexity in which we share the story of a healthcare customer who faced rapid expansion and complexity of its data. Read on to learn how we collected and connected data from four different data channels so that the organization could quickly and efficiently run analytics with meaningful business impact.

  • Those firms looking to start their journey to greater customer engagement through IT modernization face initial uphill steps as they work with legacy systems and outdated technologies that are unable to deliver at the speed of customer expectations. As a result, Flux7 offers a free Forrester report to help kick-start customer engagement and lay the groundwork for continued growth.

Download the complete research paper, free for a limited time:
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Written by Flux7 Labs

Flux7 is the only Sherpa on the DevOps journey that assesses, designs, and teaches while implementing a holistic solution for its enterprise customers, thus giving its clients the skills needed to manage and expand on the technology moving forward. Not a reseller or an MSP, Flux7 recommendations are 100% focused on customer requirements and creating the most efficient infrastructure possible that automates operations, streamlines and enhances development, and supports specific business goals.

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