The latest News and Information on Cloud monitoring, security and related technologies.


Five worthy reads: Confidential computing - The way forward in cloud security

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. In light of rising concerns over cloud cybersecurity, this week we explore the concept of confidential computing. The past year has seen strong adoption of cloud technologies due to accelerated digital transformation and a cloud-first approach in business.


Single-Tenant vs Multi-Tenant Cloud: Which Should You Use?

When operating in the cloud, one of the key decisions to make is about which type of architecture to adopt for your business and customer data. This is because choosing cost-effective architecture is key to building profitable SaaS software. Single-tenant and multi-tenant cloud environments are the options to consider. Both types of architecture have security and privacy implications. There’s also the issue of cost, which differs significantly depending on the architecting model you adopt.


Monitor AWS control plane API usage metrics in Datadog

AWS Service Quotas helps you manage limits on the number of resources or API operations that are possible for a given AWS service. Hitting such limits could cause operational disruptions related to getting rate limited on the critical APIs that your applications rely on or being unable to provision additional AWS resources.


Jelastic PaaS Now Available across CloudSigma Data Center Operators for Elevated Cloud Experience

Jelastic is excited to announce the partnership with CloudSigma that launched our turnkey Platform-as-a-Service (PaaS) solution on top of its powerful cloud infrastructure. CloudSigma’s PaaS offering allows developers, IT consultants, and system integrators to easily set up their applications as the configuration and environment provisioning can be managed with extreme simplicity. This PaaS solution is ideal for applications that serve variable loads.


Is Real-Time Processing Worth It For Your Analytical Use Cases?

Real-time processing provides a notable advantage over batch processing — data becomes available to consumers faster. In the traditional ETL, you would not be able to analyze events from today until tomorrow’s nightly jobs would finish. These days, many businesses rely on data being available within minutes, seconds, or even milliseconds. With streaming technologies, we no longer need to wait for scheduled batch jobs to see new data events.


Tested Recipe for Optimizing and Securing Your Hybrid Cloud Environments

Enterprises are quickly evolving from a posture that approached the cloud as a kind of playground to one that goes all in to achieve cloud-first, cloud-native IT. With this transition from free-for-all to mature-business-service architecture, usually involving multiple public cloud providers, comes the need to answer some thorny questions. It’s no longer sufficient to endlessly pile on additional cloud services to a growing hybrid or distributed cloud infrastructure.


Jakarta EE Application Deployment to Kubernetes Cluster in Jelastic PaaS

Recently, we were asked to sponsor cloud hosting of a Jakarta EE project, called Cargo Tracker. Being a member of Jakarta EE Working Group, Jelastic wanted to support the community and thus we started to run this application at one of our service providers (Scaleforce). Cargo Tracker is now deployed to Kubernetes on the cloud using GitHub Actions.


Press Release: iLert achieves Amazon RDS Ready designation

Cologne, Germany – iLert GmbH, a SaaS company for alerting, on-call management, and uptime monitoring, announced today that it has achieved the Amazon RDS Ready designation, part of the Amazon Web Services, Inc. (AWS) Service Ready Program. This designation recognizes that iLert has demonstrated successful integration with Amazon Relational Database Service (Amazon RDS).


Multi-Project Cloud Monitoring made easier

Customers need scale and flexibility from their cloud and this extends into supporting services such as monitoring and logging. Google Cloud’s Monitoring and Logging observability services are built on the same platforms used by all of Google that handle over 16 million metrics queries per second, 2.5 exabytes of logs per month, and over 14 quadrillion metric points on disk, as of 2020.