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Contents Supported Features Configuration Steps NotesSupported FeaturesThe Okta/Signal Sciences SAML integration currently supports the following features:IdP-initiated SSOSP-initiated SSOFor more information on the listed features, visit the Okta Glossary.Configuration StepsLog in to Signal Sciences as an Organization Administrator.Navigate to organization > Settings.Click the Switch to SAML button:Click the I understand, configure SSO button:On the Configure SSO with SAML page, enter the following:Copy and paste the following IDP Login page into the SAML endpoint field:Sign into the Okta Admin Dashboard to generate this variable.Copy and paste the following x.509 certificate into the Public certificate field (in PEM text format):Sign into the Okta Admin Dashboard to generate this variable.Click Authenticate.You will be redirected to the Okta login page, enter your Okta credentials.Back in Signal Sciences, enter your password then click Enable SSO:Wait for the SAML authentication has been set up for your organization. Users have been sent emails to link their accounts message to appear.Done! NotesSP-initiated SSOOpen the following Signal Sciences Login URL: your email in the corresponding field.Click Next.

The fast growing edge computing standout saw its stock jump over 7 percent on Thursday morning with the news of its acquisition of web application security company Signal Sciences. Fast growing edge computing cloud standout Fastly is acquiring cybersecurity firm Signal Sciences for $775 million in a move to boost Fastly’s edge security capabilities and accelerate sales at the edge. The acquisition deal, announced Thursday morning, lifted Fastly’s stock up more than 7 percent to $95.98 per share. Fastly’s stock has rebounded significantly from a low of $11.13 per share in mid-March. Under the terms of the definitive agreement, Fastly will acquire Signal Sciences for $200 million in cash and approximately $575 million worth of Class A Common Stock. The transaction is expected to close before the end of 2020. [Related: Edge Data Center Pioneer EdgeConneX Acquired By EQT] Fastly’s edge cloud platform helps customers create digital experiences quickly and securely by processing customers’ applications as close to their end-users as possible at the edge. The platform is programmable and supports agile software development. Some of its nearly 2,000 customers include Vimeo, Pinterest and GitHub. Signal Sciences is one of the fastest growing web application security companies in the market, protecting more than 40,000 applications and over a trillion production request per month, according to the company. The company provides a developer-friendly and programmable solution that helps businesses make accurate and automated security decisions. With Signal Sciences technology, Fastly said it will create a new security offering dubbed, Secure@Edge, a unified web application and API protection solution that will power and protect companies looking to begin or further their digital transformation. “Together with Signal Sciences, we will give developers modern security tools designed for the way they work,” said Fastly CEO Joshua Bixby in a statement. “This new solution will integrate with our Compute@Edge platform, accelerating the adoption of edge computing, while simultaneously solving for modern security challenges.” Earlier this month, San Francisco-based Fastly reported second quarter revenue of $75 million, up a whopping 62 percent year over year, besting Wall Street estimates. Fastly increased its full-year 2020 revenue guidance to upwards of $300 million, compared to roughly $200 million in sales last year. Fastly has received something of a boost stemming from the coronavirus pandemic as network traffic has surged as more people work from home. In May 2019, Fastly raised $180 million during its initial public offering (IPO) with shares priced at $16. Fastly recently did a secondary offering which raised more than $280 million with shares priced at roughly $41.50. The company’s biggest customer is social media company TikTok, accounting for roughly 12 percent of its total revenue.

To detect, analyze, and manage safety signals in various products, including drugs, biologics, vaccines, devices, and combination products in both pre- and post-market settings. Oracle is constantly pushing the boundaries of innovation, tirelessly exploring and perfecting state-of-the-art data mining algorithms and statistical techniques to power Empirica.Safety signal managementSee what health authorities such as the FDA see.Comply with EU GVP Module IX and CIOMS VII.Avoid investing in unsafe products with early risk detection.Use a powerful data mining engine with best-in-class algorithms.Gain flexible signal management analytics with rich visualizations.Reduce statistical noise for fewer false positives and less work.Smarter signal managementSafety teams responsible for signal management are encountering new challenges, including identifying hidden signals, evaluating data from multiple large datasets, and improving safety information prior to the start of clinical research and trials. Please refer to our ebook for information on the latest advancements in methodologies and technologies, including artificial intelligence, that can help address these challenges.Oracle Health Sciences ClearTrial Cloud Service product featuresPortfolio planningLeverage embedded industry intelligence, clinical knowledge, and activity-based planning to optimize your clinical research study planning and sourcing.Clinical trial planningThe end-to-end planning process can be reduced from weeks to hours with visibility into industry standards, detailed tasks, timelines, costs, and resources.Accurate study budgetsGet insight into the operational and financial planning for a study to negotiate fair market value effectively using industry benchmarks.Shorten RFP and bid management cyclesGenerate clinical study request for proposal (RFP) specifications based on a minimal number of clinical assumptions and reduce the disruptive nature and impact of change orders.Optimize clinical trial and portfolio managementTo maximize efficiency and minimize expenses, it’s important to implement a centralized and standardized approach for trials across the portfolio.Solution brief: ClearTrial - Advanced visibility for portfolio planning (PDF)Better-quality safety case processingOracle Life Sciences Safety One Intake uses artificial intelligence to improve the

It takes to “cross the chasm”. Crossing the chasmCrossing the chasm would be difficult without observability. How can you and your customers confidently know your product is performing well? What can go wrong with your systems? We can answer these questions by knowing and understanding where internal performance bottlenecks are and finding solutions for them. Crossing the chasm has brought us interesting organizational challenges and observability will continue to unlock great insight for us and our customers.Logs and traces and metrics, oh my!Let’s dig a bit deeper into what makes a system observable. A common idea around observability is the understanding of the three pillars: logs, traces, and metrics.Logs represent a single transaction of a system.Metrics are what it took a system to perform a unit of work.Traces are following a transaction through a system by applying identifiers.Ben Sigelman gives an interesting perspective about the three pillars:A common mistake that [companies] make is to look at each of the pillars in isolation, and then evaluate and implement individual solutions to address each pillar. Instead, try taking a holistic approach.Focusing on each individual pillar won’t make systems more observable and viewing them holistically is a better approach. This is precisely where Signal Sciences is starting—understanding each of these pillars in unison and giving us insight into our infrastructure performance.Not every observability tool can fully address all three pillars, but so far we’ve found Datadog best meets our current needs. Signal Sciences and Datadog DashboardThe image above is an example of the recent Signal Sciences and Datadog integration—where we support a customizable setup for our customers to generate their own security-related dashboards. Internally, we used the push method by installing Datadog agents in every part of our infrastructure to push logs, metrics, and traces for Datadog to analyze data. We then created high- to low-level services dashboards placed around our offices to continually observe product performance.This was our first step in providing more transparency on how our product and infrastructure was performing. Second, we collectively agreed on how our infrastructure should be performing to achieve the highest level of customer value. These steps alone have unlocked great strides in understanding our complex infrastructure systems.Looking into the future. Sensational…In our current state, we have software agents deployed in customer environments, in the cloud, and container configurations. It’s critical to know their health and performance, and observability has helped us mitigate outages and customer