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This post is an adaptation of a talk I recently gave at the Amazon Web Services (AWS) community day event in Dublin about the technical strategies I’ve experienced that don’t work and the ones that have helped us to grow and scale at Intercom. Multi-cloud architectures. The top ten technical strategies to avoid. But for the rest of us?
Most sophisticated data teams run like softwareengineering teams with product requirement documents, ticketing systems, & sprints. Data Products : The combination of large language models and data teams becoming software teams has led to data products. The same thing is happening in data.
The arrival of cloud computing, IaaS, PaaS etc. Cloud computing is dominant. Infrastructure as a service is now standard, as are Platform and Software as a service. Mid-stage startups. ” At Intercom, we build a SaaS solution for our customers, but we don’t consider ourselves a software company.
Before diving into more specifics about what Tabular does, I’d like to start with a brief overview of how cloud-native data architectures have evolved over the last decade. Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS).
“The secret to Intercom’s success in this realm is simple: years of consistent, careful, and multi-faceted cultural, organizational, and engineering work”. The secret to Intercom’s success in this realm is simple: years of consistent, careful, and multi-faceted cultural, organizational, systems and softwareengineering work.
Table Of Contents As a softwareengineering leader, you know application security is no longer an activity that you can palm off to someone else. With the increasing number of sensitive data security breaches, it's essential to have the right automated application security tools in place to protect your software.
How to build application security into your software development lifecycle. How to protect your cloud console with GCP/Azure/ AWScloud console pentests. When you should conduct SaaS pentests / mobile app pentests to solidify your security posture. Would that be helpful? Book My Discovery Call Get AppSec Checklist.
Best of all, the types of smart people that you run into in tech run the gamut from highly technical softwareengineers, to massively creative designers and marketers, to analytical data wizzes and finance experts. Perhaps best of all, the advent of cloud computing has made the barrier to entry in this field lower than ever before.
Cloud platform vulnerability scanning tools Most businesses are shifting to a cloud-based model and using cloud infrastructure for their applications and APIs because of higher flexibility and scalability. This cloud infrastructure also needs to be secured. Other best-practice cloud security controls.
Not me personally, but a bunch of smart PhDs and softwareengineers, they’re the ones that can make it a reality. I got the infrastructure, I got the AWS bill, don’t worry about it. Vishal Sunak: Being a technologist, I always believed that we could create algorithms that could read a contract and extract data.
Many companies are strategic consumers of open-source software as a means to reduce the burden on their softwareengineering team to build everything from the ground up. On-premise (or “cloud-prem”) is still a thing. Yes, SaaS is powerful. Yes, SaaS is pervasive. It depends on your definition of on-premise.
One of my clients sold cloud-connected sprinklers that saved money and helped the environment. Only once they learnt city managers had a personal frustration related to testing sprinklers, they convinced city managers to prioritize cloud-sprinklers, reducing sales to nine months. Still, sales took two years. Katie Carty Tierney.
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